SThree is delighted to announce that we are currently accepting applications for an experienced AI Engineer. This position presents an excellent opportunity to join a global audience of stakeholders. Additionally, it offers the potential for growth within an international company. As an AI Engineer specialising in Azure Services, you will be responsible for designing, implementing, and maintaining AI solutions within our organisation. Leveraging the Azure platform, including Azure OpenAI, Azure Vision and other Azure AI services, you will develop scalable, efficient, and effective AI models and systems to address business challenges, enhance decision-making, and drive innovation. Collaboration with cross-functional teams to integrate AI capabilities into our products and services will be key. About us SThree is the global STEM-specialist talent partner that connects sought-after specialists in life sciences, technology, engineering and mathematics with innovative organisations across the world. We are the number one destination for talent in the best STEM markets: Recruiting highly skilled professionals and discovering life-changing jobs for the unsung heroes who will positively shape our future. What are the day-to-day tasks? Design and develop AI models and solutions using Azure OpenAI, Azure Machine Learning, and Azure Cognitive Services to address specific business challenges. Implement and maintain scalable and efficient AI systems, ensuring they meet business requirements and performance benchmarks. Collaborate with business analysts, scientists, and IT teams to integrate AI solutions into existing systems and work flows Stay abreast of advancements in AI, machine learning, and Azure services, incorporating new technologies and methodologies to continually improve solution offerings. Provide expertise and guidance on AI best practices, contributing to the organisation's AI strategy and innovation efforts. Conduct data analysis and feature engineering to prepare data for use in AI models, utilising Azure Data Lake Develop robust testing and validation processes to ensure the accuracy and reliability of AI models. Ensure that operational issues are identified, recorded, monitored and resolved. Conducts investigations of significant operational outage and provides recommendations for problem mitigation. Provides appropriate status and other reports to specialists, users and managers. Align all operations procedures to service expectations, security requirements and other quality standards. Ensures that operational procedures are fit for purpose and updated. Oversee the planning, installation, maintenance and acceptance of new and updated components and services. Defines security procedures to be followed, and delegates tasks What skills and knowledge are we looking for? Programming Skills: Proficiency in programming languages such as Python, C#, or Java, with a deep understanding of software development principles. Experience with Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks desirable Solid background in machine learning algorithms, data preprocessing, feature engineering, and model evaluation. Experience with deep learning frameworks like TensorFlow or PyTorch is desirable. Proficiency in handling large datasets, experience with Azure Data Factory, Azure SQL Database, and Cosmos DB. Understanding of CI/CD pipelines, containerisation (Docker, Kubernetes), implementing MLOps practices using Azure DevOps. Azure Cloud services relevant to AI, such as Azure Kubernetes Service (AKS), Azure GPU VMs, and Azure networking and security services tailored for AI applications. Qualifications: Degree in computer science/software engineering and/or 5+ years equivalent work experience within a cloud environment. Cloud Certifications desirable Qualifications such as the following would be advantageous, however not necessary: Microsoft Azure AI Engineer Fundamentals / Associate Microsoft Azure Data Engineer Microsoft Data Scientist Associate Benefits for our U.K. teams include: Choice to work flexibly from home and the office, in line with our hybrid working principles Bonus linked to company and personal performance Generous 28 days holiday, plus public holidays Annual leave purchase scheme Five days paid Caregiver/Dependant leave per annum Five paid days off per year for volunteering Private healthcare, discounted dental insurance and health care cashback scheme Opportunity to participate in the company share scheme Access to a range of retail discounts and saving What we stand for We're committed to ensuring for our colleagues, candidates and communities, that all processes are equitable, and everyone is treated with fairness and dignity where everyone belongs, is valued and is connected. If you need any assistance or reasonable adjustments in submitting your application, please let us know, and we'll be happy to help. What we stand for We create community and deliver change that transforms the future for everyone. With this in mind, we're committed to ensuring for our colleagues, candidates and communities, that all processes are equitable and everyone is treated with fairness and dignity where everyone belongs, is valued and is connected. If you need any assistance or reasonable adjustments in submitting your application, please let us know, and we'll be happy to help.
Apr 17, 2024
Full time
SThree is delighted to announce that we are currently accepting applications for an experienced AI Engineer. This position presents an excellent opportunity to join a global audience of stakeholders. Additionally, it offers the potential for growth within an international company. As an AI Engineer specialising in Azure Services, you will be responsible for designing, implementing, and maintaining AI solutions within our organisation. Leveraging the Azure platform, including Azure OpenAI, Azure Vision and other Azure AI services, you will develop scalable, efficient, and effective AI models and systems to address business challenges, enhance decision-making, and drive innovation. Collaboration with cross-functional teams to integrate AI capabilities into our products and services will be key. About us SThree is the global STEM-specialist talent partner that connects sought-after specialists in life sciences, technology, engineering and mathematics with innovative organisations across the world. We are the number one destination for talent in the best STEM markets: Recruiting highly skilled professionals and discovering life-changing jobs for the unsung heroes who will positively shape our future. What are the day-to-day tasks? Design and develop AI models and solutions using Azure OpenAI, Azure Machine Learning, and Azure Cognitive Services to address specific business challenges. Implement and maintain scalable and efficient AI systems, ensuring they meet business requirements and performance benchmarks. Collaborate with business analysts, scientists, and IT teams to integrate AI solutions into existing systems and work flows Stay abreast of advancements in AI, machine learning, and Azure services, incorporating new technologies and methodologies to continually improve solution offerings. Provide expertise and guidance on AI best practices, contributing to the organisation's AI strategy and innovation efforts. Conduct data analysis and feature engineering to prepare data for use in AI models, utilising Azure Data Lake Develop robust testing and validation processes to ensure the accuracy and reliability of AI models. Ensure that operational issues are identified, recorded, monitored and resolved. Conducts investigations of significant operational outage and provides recommendations for problem mitigation. Provides appropriate status and other reports to specialists, users and managers. Align all operations procedures to service expectations, security requirements and other quality standards. Ensures that operational procedures are fit for purpose and updated. Oversee the planning, installation, maintenance and acceptance of new and updated components and services. Defines security procedures to be followed, and delegates tasks What skills and knowledge are we looking for? Programming Skills: Proficiency in programming languages such as Python, C#, or Java, with a deep understanding of software development principles. Experience with Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks desirable Solid background in machine learning algorithms, data preprocessing, feature engineering, and model evaluation. Experience with deep learning frameworks like TensorFlow or PyTorch is desirable. Proficiency in handling large datasets, experience with Azure Data Factory, Azure SQL Database, and Cosmos DB. Understanding of CI/CD pipelines, containerisation (Docker, Kubernetes), implementing MLOps practices using Azure DevOps. Azure Cloud services relevant to AI, such as Azure Kubernetes Service (AKS), Azure GPU VMs, and Azure networking and security services tailored for AI applications. Qualifications: Degree in computer science/software engineering and/or 5+ years equivalent work experience within a cloud environment. Cloud Certifications desirable Qualifications such as the following would be advantageous, however not necessary: Microsoft Azure AI Engineer Fundamentals / Associate Microsoft Azure Data Engineer Microsoft Data Scientist Associate Benefits for our U.K. teams include: Choice to work flexibly from home and the office, in line with our hybrid working principles Bonus linked to company and personal performance Generous 28 days holiday, plus public holidays Annual leave purchase scheme Five days paid Caregiver/Dependant leave per annum Five paid days off per year for volunteering Private healthcare, discounted dental insurance and health care cashback scheme Opportunity to participate in the company share scheme Access to a range of retail discounts and saving What we stand for We're committed to ensuring for our colleagues, candidates and communities, that all processes are equitable, and everyone is treated with fairness and dignity where everyone belongs, is valued and is connected. If you need any assistance or reasonable adjustments in submitting your application, please let us know, and we'll be happy to help. What we stand for We create community and deliver change that transforms the future for everyone. With this in mind, we're committed to ensuring for our colleagues, candidates and communities, that all processes are equitable and everyone is treated with fairness and dignity where everyone belongs, is valued and is connected. If you need any assistance or reasonable adjustments in submitting your application, please let us know, and we'll be happy to help.
The company: I am working with a leading MedTech company in Edinburgh and Glasgow (based remotely) who are looking for a Software Implementation specialist to help further implement and develop their cloud computing and machine learning capabilities. They operate within the healthcare industry and have grown since Covid, due to the work they do. The company have been running for around 15 years now and have over 50 staff members, across the Edinburgh and Glasgow offices (can be fully remote from Scotland this role). They are hiring people for a new role, with up to 3 positions available for the Customer Success Manager. The role: You will be working with clients from early stages of implementation of the software product, from pilot through to deployment. This will include managing the client and their expectations, as well as the general relationship. You will be working across a modern and agile environment alongside multiple teams (Product, Delivery, Software Engineers, Data Scientists etc) as well as the customers, in order to help to improve both the product and how it is best implemented. This is very much a client facing role, so growing that relationship and striving to improve the implementation process is paramount. You will identify and properly manage any risks and issues and along with the support teams, ensure an excellent service to the customers. This role is looking for either a Customer Success Manager, Software Implementation or Account Manager who knows the Software landscape very well and who ideally has a SaaS background. Knowledge and experience in this role with a cloud product such as Azure, AWS or GCP would be very handy too. The role is fully remote, however they are really looking for someone from the Central Belt of Scotland or close by, due to occasional need to meet with customers and be in close proximity. The team meet once a month in Edinburgh or Glasgow, so it would be best to be close by. The benefits of this company are also great, including but not limited to:- remote/hybrid working, 35 days annual leave and a 9 day fortnight (second Friday off a month). What's required: * A few years experience in a Customer Success/Implementation/Account Manager role, with a background in software/data delivery * Having worked for a Software or SaaS business (SaaS ideally) * An understanding of the full software development life cycle * Well-developed and effective relationship management skills for building long-term relationships and managing customer expectations * Agile delivery experience (beneficial) * Experience of implementing a software or data product * Comfortable interpreting requirements, defining and articulating proposed solutions as well as delivering presentations to clients * Cloud experience such as AWS, Azure or GCP (desirable) This is an opportunity for an ambitious Customer Success Manager who has the appetite to learn in a testing and agile environment. You will be working on the latest technology and will definitely be impressed by their product. If interested, please apply or call Hamish at Cathcart Technology.
Apr 17, 2024
Full time
The company: I am working with a leading MedTech company in Edinburgh and Glasgow (based remotely) who are looking for a Software Implementation specialist to help further implement and develop their cloud computing and machine learning capabilities. They operate within the healthcare industry and have grown since Covid, due to the work they do. The company have been running for around 15 years now and have over 50 staff members, across the Edinburgh and Glasgow offices (can be fully remote from Scotland this role). They are hiring people for a new role, with up to 3 positions available for the Customer Success Manager. The role: You will be working with clients from early stages of implementation of the software product, from pilot through to deployment. This will include managing the client and their expectations, as well as the general relationship. You will be working across a modern and agile environment alongside multiple teams (Product, Delivery, Software Engineers, Data Scientists etc) as well as the customers, in order to help to improve both the product and how it is best implemented. This is very much a client facing role, so growing that relationship and striving to improve the implementation process is paramount. You will identify and properly manage any risks and issues and along with the support teams, ensure an excellent service to the customers. This role is looking for either a Customer Success Manager, Software Implementation or Account Manager who knows the Software landscape very well and who ideally has a SaaS background. Knowledge and experience in this role with a cloud product such as Azure, AWS or GCP would be very handy too. The role is fully remote, however they are really looking for someone from the Central Belt of Scotland or close by, due to occasional need to meet with customers and be in close proximity. The team meet once a month in Edinburgh or Glasgow, so it would be best to be close by. The benefits of this company are also great, including but not limited to:- remote/hybrid working, 35 days annual leave and a 9 day fortnight (second Friday off a month). What's required: * A few years experience in a Customer Success/Implementation/Account Manager role, with a background in software/data delivery * Having worked for a Software or SaaS business (SaaS ideally) * An understanding of the full software development life cycle * Well-developed and effective relationship management skills for building long-term relationships and managing customer expectations * Agile delivery experience (beneficial) * Experience of implementing a software or data product * Comfortable interpreting requirements, defining and articulating proposed solutions as well as delivering presentations to clients * Cloud experience such as AWS, Azure or GCP (desirable) This is an opportunity for an ambitious Customer Success Manager who has the appetite to learn in a testing and agile environment. You will be working on the latest technology and will definitely be impressed by their product. If interested, please apply or call Hamish at Cathcart Technology.
The company: I am working with a leading MedTech company in Edinburgh and Glasgow (based remotely) who are looking for a Software Implementation specialist to help further implement and develop their cloud computing and machine learning capabilities. They operate within the healthcare industry and have grown since Covid, due to the work they do. The company have been running for around 15 years now and have over 50 staff members, across the Edinburgh and Glasgow offices (can be fully remote from Scotland this role). They are hiring people for a new role, with up to 3 positions available for the Customer Success Manager. The role: You will be working with clients from early stages of implementation of the software product, from pilot through to deployment. This will include managing the client and their expectations, as well as the general relationship. You will be working across a modern and agile environment alongside multiple teams (Product, Delivery, Software Engineers, Data Scientists etc) as well as the customers, in order to help to improve both the product and how it is best implemented. This is very much a client facing role, so growing that relationship and striving to improve the implementation process is paramount. You will identify and properly manage any risks and issues and along with the support teams, ensure an excellent service to the customers. This role is looking for either a Customer Success Manager, Software Implementation or Account Manager who knows the Software landscape very well and who ideally has a SaaS background. Knowledge and experience in this role with a cloud product such as Azure, AWS or GCP would be very handy too. The role is fully remote, however they are really looking for someone from the Central Belt of Scotland or close by, due to occasional need to meet with customers and be in close proximity. The team meet once a month in Edinburgh or Glasgow, so it would be best to be close by. The benefits of this company are also great, including but not limited to:- remote/hybrid working, 35 days annual leave and a 9 day fortnight (second Friday off a month). What's required: * A few years experience in a Customer Success/Implementation/Account Manager role, with a background in software/data delivery * Having worked for a Software or SaaS business (SaaS ideally) * An understanding of the full software development life cycle * Well-developed and effective relationship management skills for building long-term relationships and managing customer expectations * Agile delivery experience (beneficial) * Experience of implementing a software or data product * Comfortable interpreting requirements, defining and articulating proposed solutions as well as delivering presentations to clients * Cloud experience such as AWS, Azure or GCP (desirable) This is an opportunity for an ambitious Customer Success Manager who has the appetite to learn in a testing and agile environment. You will be working on the latest technology and will definitely be impressed by their product. If interested, please apply or call Hamish at Cathcart Technology.
Apr 17, 2024
Full time
The company: I am working with a leading MedTech company in Edinburgh and Glasgow (based remotely) who are looking for a Software Implementation specialist to help further implement and develop their cloud computing and machine learning capabilities. They operate within the healthcare industry and have grown since Covid, due to the work they do. The company have been running for around 15 years now and have over 50 staff members, across the Edinburgh and Glasgow offices (can be fully remote from Scotland this role). They are hiring people for a new role, with up to 3 positions available for the Customer Success Manager. The role: You will be working with clients from early stages of implementation of the software product, from pilot through to deployment. This will include managing the client and their expectations, as well as the general relationship. You will be working across a modern and agile environment alongside multiple teams (Product, Delivery, Software Engineers, Data Scientists etc) as well as the customers, in order to help to improve both the product and how it is best implemented. This is very much a client facing role, so growing that relationship and striving to improve the implementation process is paramount. You will identify and properly manage any risks and issues and along with the support teams, ensure an excellent service to the customers. This role is looking for either a Customer Success Manager, Software Implementation or Account Manager who knows the Software landscape very well and who ideally has a SaaS background. Knowledge and experience in this role with a cloud product such as Azure, AWS or GCP would be very handy too. The role is fully remote, however they are really looking for someone from the Central Belt of Scotland or close by, due to occasional need to meet with customers and be in close proximity. The team meet once a month in Edinburgh or Glasgow, so it would be best to be close by. The benefits of this company are also great, including but not limited to:- remote/hybrid working, 35 days annual leave and a 9 day fortnight (second Friday off a month). What's required: * A few years experience in a Customer Success/Implementation/Account Manager role, with a background in software/data delivery * Having worked for a Software or SaaS business (SaaS ideally) * An understanding of the full software development life cycle * Well-developed and effective relationship management skills for building long-term relationships and managing customer expectations * Agile delivery experience (beneficial) * Experience of implementing a software or data product * Comfortable interpreting requirements, defining and articulating proposed solutions as well as delivering presentations to clients * Cloud experience such as AWS, Azure or GCP (desirable) This is an opportunity for an ambitious Customer Success Manager who has the appetite to learn in a testing and agile environment. You will be working on the latest technology and will definitely be impressed by their product. If interested, please apply or call Hamish at Cathcart Technology.
Job Description We are looking for an Architect to join our AI research and development team to research, develop and launch the next generation of AI inference software and tools, on both scalable cloud infrastructure and optimized device platforms. You will need to judge priorities and develop novel designs across our technology, tools and partners to meet product and customer milestones. Our mission is to use the latest machine learning and cloud technologies to develop the best AI inference for self-driving vehicle and advanced driver safety engineers. Renesas is the leading automotive electronics supplier globally, and this is a rare opportunity to deploy your AI software to the billions of devices we ship to customers every year. You will join our newly formed AI Solutions global research and development organization of around 100 software engineers. Due to strong demand for our AI-related products we are planning to triple in size in the next three years, so there is room for you to help us grow the team while remaining small. Our key locations are the Tokyo, London, Dusseldorf, and Ho Chi Minh City metro areas, but you can also join fully remotely from other locations globally or get our support to relocate to our key location hubs such as Tokyo. Responsibilities: Continuously improve and redesign hardware and software architectures across our AI and cloud technology and tools. Collaborate with research engineers, software engineers and technical program managers to optimize performance both on-device and through our cloud-based tools. Collaborate with compiler engineers to improve our AI compiler. Plan with research engineers to incorporate new technologies or approaches into our technology and tools Support with mid-term technology planning and road mapping, and provide expert advice to customers when needed Qualifications Bachelor's or Master's degree in computer science, machine learning, mathematics, physics, electrical engineering or related field. Experience in C/C++, Python, or other related programming language 5 years of experience in hardware device architecture, cloud based software architecture or software tools. Familiar with concepts of hardware acceleration Familiar with concepts of distributed/parallel programming. Additional Information Renesas Electronics Corporation empowers a safer, smarter and more sustainable future where technology helps make our lives easier. The leading global provider of microcontrollers, Renesas combines our expertise in embedded processing, analog, power and connectivity to deliver complete semiconductor solutions. These Winning Combinations accelerate time to market for automotive, industrial, infrastructure and IoT applications, enabling billions of connected, intelligent devices that enhance the way people work and live. Learn more at . Renesas' mission, To Make Our Lives Easier, is underpinned by our company culture, TAGIE. TAGIE stands for Transparent, Agile, Global, Innovative and Entrepreneurial. Our goal is to embed this unique culture in everything we do to succeed as a company and create trust with our diverse colleagues, customers and stakeholders. Renesas Electronics is an equal opportunity and affirmative action employer, committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by law. For more information, please read our Diversity & Inclusion Statement .
Apr 17, 2024
Full time
Job Description We are looking for an Architect to join our AI research and development team to research, develop and launch the next generation of AI inference software and tools, on both scalable cloud infrastructure and optimized device platforms. You will need to judge priorities and develop novel designs across our technology, tools and partners to meet product and customer milestones. Our mission is to use the latest machine learning and cloud technologies to develop the best AI inference for self-driving vehicle and advanced driver safety engineers. Renesas is the leading automotive electronics supplier globally, and this is a rare opportunity to deploy your AI software to the billions of devices we ship to customers every year. You will join our newly formed AI Solutions global research and development organization of around 100 software engineers. Due to strong demand for our AI-related products we are planning to triple in size in the next three years, so there is room for you to help us grow the team while remaining small. Our key locations are the Tokyo, London, Dusseldorf, and Ho Chi Minh City metro areas, but you can also join fully remotely from other locations globally or get our support to relocate to our key location hubs such as Tokyo. Responsibilities: Continuously improve and redesign hardware and software architectures across our AI and cloud technology and tools. Collaborate with research engineers, software engineers and technical program managers to optimize performance both on-device and through our cloud-based tools. Collaborate with compiler engineers to improve our AI compiler. Plan with research engineers to incorporate new technologies or approaches into our technology and tools Support with mid-term technology planning and road mapping, and provide expert advice to customers when needed Qualifications Bachelor's or Master's degree in computer science, machine learning, mathematics, physics, electrical engineering or related field. Experience in C/C++, Python, or other related programming language 5 years of experience in hardware device architecture, cloud based software architecture or software tools. Familiar with concepts of hardware acceleration Familiar with concepts of distributed/parallel programming. Additional Information Renesas Electronics Corporation empowers a safer, smarter and more sustainable future where technology helps make our lives easier. The leading global provider of microcontrollers, Renesas combines our expertise in embedded processing, analog, power and connectivity to deliver complete semiconductor solutions. These Winning Combinations accelerate time to market for automotive, industrial, infrastructure and IoT applications, enabling billions of connected, intelligent devices that enhance the way people work and live. Learn more at . Renesas' mission, To Make Our Lives Easier, is underpinned by our company culture, TAGIE. TAGIE stands for Transparent, Agile, Global, Innovative and Entrepreneurial. Our goal is to embed this unique culture in everything we do to succeed as a company and create trust with our diverse colleagues, customers and stakeholders. Renesas Electronics is an equal opportunity and affirmative action employer, committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by law. For more information, please read our Diversity & Inclusion Statement .
Multi-Disciplined Engineer Clearance Requirement: High level of clearance - DV (Developed Vetting) Location: Huntingdon, Cambridgeshire UNLEASH YOUR POTENTIAL Working across a range of diverse, complex, and secure systems, a Multi-Disciplined Engineer should be technically capable and versatile. You will be working as part of the Normal Change delivery team supporting the development and sustainment of a government portfolio of systems and services managed through the Programme. Working alone or as part of a team (depending on the size and complexity of the engineering change task) to deliver business value in a demanding, involved environment. YOUR ROLE AND RESPONSBILITIES Based primarily at our customer's site near Huntingdon Cambridgeshire, you will be supporting or leading, on infrastructure and application changes in an Agile environment. The preferred candidate will have a range of knowledge and experience in the administration of a service based on Microsoft and CISCO products and be an expert on Microsoft Windows Server (including services such as AD, DNS, DHCP & SCCM) and virtualisation (Hyper-V, VMware), while also having an understanding and interest in Linux (Ubuntu / CentOS) and a desire to learn (if required) additional complementary technologies such as Microsoft Stack Technologies (SharePoint, SQL Server, Skype for Business / Teams), networking technologies (CISCO) and storage. Are you ready for your next challenge? Occasional travel to other Leidos and customer sites may be required. Keeping an eye on the technology landscape is essential, too - identification of new and relevant technologies to solve problems and make improvements is part of the job. We believe innovation is the lifeblood of customer value - we are all catalysts for innovation and should be committed to continuous improvement in everything we do. SKILLS AND KNOWLEDGE: Excellent knowledge of Virtualized Environments such as VMware and Hyper-V. Excellent knowledge of Windows Server Environments, from Server 2003 - 2019, including OS build, AD, DNS, DHCP and GPO from design to implementation and support. Strong working knowledge of Linux system administration skills (Ubuntu / CentOS) Good general knowledge of TCP/IP and networking technologies including switches and firewalls. Good general knowledge of Microsoft stack technologies such as SharePoint, Skype for Business / Teams, MS SQL, MS System Centre, Office365, MS Exchange & CLI tooling such as PowerShell. Good knowledge of application deployment via SCCM. Experience on Secure LAN environments including security boundaries and rulesets. Experience of working in security-cleared environments/working in Defence. Experience in configuring and troubleshooting Sidewinders and ASAv firewalls. Platform focus: Cisco Nexus 9300 series and Catalyst switches. Excellent communication skills (written and oral), ideally able to communicate technical issues to less technical staff and managers. Experience in providing support to others, including Service Desk Analysts and Second Line Engineers Experience of producing and updating technical documentation to a high standard Experience of ITIL Service Management Experience of software maintenance and support to include servers, workstations, laptops, network, and peripheral devices. Experience in the installation and configuration of Microsoft Server 2008, 2016 and 2019. Experience in the installation and configuration of Microsoft Windows 10 and 11 workstations. Good knowledge of the configuration, maintenance, and installation of Commercial off the Shelf (COTS) software applications. Experience in the installation, configuration, and maintenance of Enterprise Anti-Virus products. Experience in the installation, configuration, and maintenance of Windows Server Update Services (WSUS). Knowledge of backup technologies. Experience of desktop rollout and configuration (including desktop virtualisation). Experience of cloud-based deployment. Experience configuring and maintaining monitoring tools and systems. ADDITIONAL ATTRIBUTES: Analytical and problem-solving skills and developing solutions. Flexibility and adaptability. Proactive and innovative working attitude Who We Are: Leidos UK & EUROPE - we work to make the world safer, healthier, and more efficient through technology, engineering and science. Leidos is a growing company delivering innovative technology and solutions focused on safeguarding critical capabilities and transformation in frontline services, our work in the United Kingdom includes addressing some of the most complex problems in defence, healthcare, government, safety and security, and transportation. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to do your job is one of our core benefits, enabling you to become part of our extraordinary team. We have been empowering our people to work flexibly for years. Whether you work from home, the office or on customer sites, we will give you the digital tools and the flexibility to work smarter and align your needs and ours. People: Leidos empowers people from every background to be themselves and gives you the tools to learn new skills by enabling growth whilst developing. We believe that extraordinary people need opportunities to grow, to be inspired and to inspire others. At Leidos, we invest in technical academies, career rotations and a career development plans that enhance your future.
Apr 17, 2024
Full time
Multi-Disciplined Engineer Clearance Requirement: High level of clearance - DV (Developed Vetting) Location: Huntingdon, Cambridgeshire UNLEASH YOUR POTENTIAL Working across a range of diverse, complex, and secure systems, a Multi-Disciplined Engineer should be technically capable and versatile. You will be working as part of the Normal Change delivery team supporting the development and sustainment of a government portfolio of systems and services managed through the Programme. Working alone or as part of a team (depending on the size and complexity of the engineering change task) to deliver business value in a demanding, involved environment. YOUR ROLE AND RESPONSBILITIES Based primarily at our customer's site near Huntingdon Cambridgeshire, you will be supporting or leading, on infrastructure and application changes in an Agile environment. The preferred candidate will have a range of knowledge and experience in the administration of a service based on Microsoft and CISCO products and be an expert on Microsoft Windows Server (including services such as AD, DNS, DHCP & SCCM) and virtualisation (Hyper-V, VMware), while also having an understanding and interest in Linux (Ubuntu / CentOS) and a desire to learn (if required) additional complementary technologies such as Microsoft Stack Technologies (SharePoint, SQL Server, Skype for Business / Teams), networking technologies (CISCO) and storage. Are you ready for your next challenge? Occasional travel to other Leidos and customer sites may be required. Keeping an eye on the technology landscape is essential, too - identification of new and relevant technologies to solve problems and make improvements is part of the job. We believe innovation is the lifeblood of customer value - we are all catalysts for innovation and should be committed to continuous improvement in everything we do. SKILLS AND KNOWLEDGE: Excellent knowledge of Virtualized Environments such as VMware and Hyper-V. Excellent knowledge of Windows Server Environments, from Server 2003 - 2019, including OS build, AD, DNS, DHCP and GPO from design to implementation and support. Strong working knowledge of Linux system administration skills (Ubuntu / CentOS) Good general knowledge of TCP/IP and networking technologies including switches and firewalls. Good general knowledge of Microsoft stack technologies such as SharePoint, Skype for Business / Teams, MS SQL, MS System Centre, Office365, MS Exchange & CLI tooling such as PowerShell. Good knowledge of application deployment via SCCM. Experience on Secure LAN environments including security boundaries and rulesets. Experience of working in security-cleared environments/working in Defence. Experience in configuring and troubleshooting Sidewinders and ASAv firewalls. Platform focus: Cisco Nexus 9300 series and Catalyst switches. Excellent communication skills (written and oral), ideally able to communicate technical issues to less technical staff and managers. Experience in providing support to others, including Service Desk Analysts and Second Line Engineers Experience of producing and updating technical documentation to a high standard Experience of ITIL Service Management Experience of software maintenance and support to include servers, workstations, laptops, network, and peripheral devices. Experience in the installation and configuration of Microsoft Server 2008, 2016 and 2019. Experience in the installation and configuration of Microsoft Windows 10 and 11 workstations. Good knowledge of the configuration, maintenance, and installation of Commercial off the Shelf (COTS) software applications. Experience in the installation, configuration, and maintenance of Enterprise Anti-Virus products. Experience in the installation, configuration, and maintenance of Windows Server Update Services (WSUS). Knowledge of backup technologies. Experience of desktop rollout and configuration (including desktop virtualisation). Experience of cloud-based deployment. Experience configuring and maintaining monitoring tools and systems. ADDITIONAL ATTRIBUTES: Analytical and problem-solving skills and developing solutions. Flexibility and adaptability. Proactive and innovative working attitude Who We Are: Leidos UK & EUROPE - we work to make the world safer, healthier, and more efficient through technology, engineering and science. Leidos is a growing company delivering innovative technology and solutions focused on safeguarding critical capabilities and transformation in frontline services, our work in the United Kingdom includes addressing some of the most complex problems in defence, healthcare, government, safety and security, and transportation. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to do your job is one of our core benefits, enabling you to become part of our extraordinary team. We have been empowering our people to work flexibly for years. Whether you work from home, the office or on customer sites, we will give you the digital tools and the flexibility to work smarter and align your needs and ours. People: Leidos empowers people from every background to be themselves and gives you the tools to learn new skills by enabling growth whilst developing. We believe that extraordinary people need opportunities to grow, to be inspired and to inspire others. At Leidos, we invest in technical academies, career rotations and a career development plans that enhance your future.
Voleon is a technology company that applies state-of-the-art machine learning techniques to real-world problems in finance. For more than a decade, we have led our industry and worked at the frontier of applying machine learning to investment management. We have become a multibillion dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts in machine learning research as well as highly experienced technology and finance professionals. The people who shape our company come from other backgrounds, too, including concert music performance, humanitarian aid, opera singing, sports writing, and BMX racing. You will be part of a team that loves to succeed together. As a Senior or Staff Software Engineer, you will develop systems to translate cutting-edge machine learning into complex trading behaviors. You will touch areas as wide-ranging as machine learning, finance, and technology. This role is a means to make a difference: together with other Software Engineers, you will build the backbone of our business. Responsibilities Lead and collaborate in diverse and engaging software work, which includes areas such as trading infrastructure, computing and data processing, flexible pipelines for model development, and more Proactively lead complex projects from start to finish, which includes gathering project requirements, translating them into a rational software design, reasoning effectively about supporting or dependent technologies, and communicating effectively with teammates Design and implement fault-tolerant distributed systems Build large-scale data infrastructure, stream processing systems, and/or latency-sensitive programs Act as a technical leader for both research and engineering staff Requirements Experience developing in a Linux environment with a focus on performance, concurrency, and correctness using programming languages such as Python, Go, R, and/or C/C++ Work in performance optimization, multi-threading, and server development Architect and design work in highly available systems and large-scale data management infrastructure Work in a large codebase and experience building modular, manageable code Eagerness to work in diverse teams Bachelor's degree in computer science or a related technical field "Friends of Voleon" Candidate Referral Program If you have a great candidate in mind for this role and would like to have the potential to earn USD $7,500 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Voleon Referral Bonus Program . Equal Opportunity Employer The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law. Vaccination Requirement The Voleon Group has implemented a policy requiring all employees who will be entering our worksite, including new hires, to be fully vaccinated with the COVID-19 vaccine. This policy also applies to remote employees, as such employees will be asked to visit our offices from time to time. To the extent permitted by applicable law, proof of vaccination will be required as a condition of employment. This policy is part of Voleon's ongoing efforts to ensure the safety and well-being of our employees and community, and to support public health efforts.
Apr 16, 2024
Full time
Voleon is a technology company that applies state-of-the-art machine learning techniques to real-world problems in finance. For more than a decade, we have led our industry and worked at the frontier of applying machine learning to investment management. We have become a multibillion dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts in machine learning research as well as highly experienced technology and finance professionals. The people who shape our company come from other backgrounds, too, including concert music performance, humanitarian aid, opera singing, sports writing, and BMX racing. You will be part of a team that loves to succeed together. As a Senior or Staff Software Engineer, you will develop systems to translate cutting-edge machine learning into complex trading behaviors. You will touch areas as wide-ranging as machine learning, finance, and technology. This role is a means to make a difference: together with other Software Engineers, you will build the backbone of our business. Responsibilities Lead and collaborate in diverse and engaging software work, which includes areas such as trading infrastructure, computing and data processing, flexible pipelines for model development, and more Proactively lead complex projects from start to finish, which includes gathering project requirements, translating them into a rational software design, reasoning effectively about supporting or dependent technologies, and communicating effectively with teammates Design and implement fault-tolerant distributed systems Build large-scale data infrastructure, stream processing systems, and/or latency-sensitive programs Act as a technical leader for both research and engineering staff Requirements Experience developing in a Linux environment with a focus on performance, concurrency, and correctness using programming languages such as Python, Go, R, and/or C/C++ Work in performance optimization, multi-threading, and server development Architect and design work in highly available systems and large-scale data management infrastructure Work in a large codebase and experience building modular, manageable code Eagerness to work in diverse teams Bachelor's degree in computer science or a related technical field "Friends of Voleon" Candidate Referral Program If you have a great candidate in mind for this role and would like to have the potential to earn USD $7,500 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Voleon Referral Bonus Program . Equal Opportunity Employer The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law. Vaccination Requirement The Voleon Group has implemented a policy requiring all employees who will be entering our worksite, including new hires, to be fully vaccinated with the COVID-19 vaccine. This policy also applies to remote employees, as such employees will be asked to visit our offices from time to time. To the extent permitted by applicable law, proof of vaccination will be required as a condition of employment. This policy is part of Voleon's ongoing efforts to ensure the safety and well-being of our employees and community, and to support public health efforts.
NVIDIA's Worldwide Field Operations (WWFO) team is looking for a Data Science focused Solution Architect with expertise in Machine Learning (ML), Deep Learning (DL) and Data Science platforms. Exposure to inferencing technology (e.g., understanding of model compression techniques, model compilation or model serving) would be an added value. In our Solutions Architecture team, we work with the most exciting computing hardware and software, driving the latest breakthroughs in artificial intelligence. We need individuals who can enable customer productivity and develop lasting relationships with our technology partners, making NVIDIA an integral part of end-user solutions. We are looking for someone always thinking about artificial intelligence, someone who can maintain synergy in a fast paced, rapidly evolving field, someone able to coordinate efforts between corporate marketing, industry business development and engineering. You will be working with the latest HPC architectures coupled with the most advanced neural network models, changing the way people interact with technology. As a Solutions Architect, you will be the first line of technical expertise between NVIDIA and our customers. Your duties will vary from working on proof-of-concept demonstrations, to driving relationships with key executives and managers to evangelize accelerated computing. Dynamically engaging with developers, scientific researchers, data scientists, IT managers and senior leaders is a meaningful part of the Solutions Architect role and will give you experience with a range of partners and concerns. What You'll Be Doing: Develop and demonstrate solutions based on NVIDIA's state-of-the-art AI and ML software and hardware technologies to customers. Work directly with key customers to understand their technology and provide the best solutions. Perform in-depth analysis and optimization to ensure the best performance on GPU architecture systems. This includes support in optimization of both training and inference pipelines. Partner with Engineering, Product and Sales teams to develop, plan best suitable solutions for customers. Enable development and growth of product features through customer feedback and proof-of-concept evaluations. Build industry expertise and become a contributor in integrating NVIDIA technology into Enterprise Computing architectures. What We Need to See: Excellent verbal, written communication, and technical presentation skills in Japanese. Business level English communication is also a requirement. MS/PhD in Computer Science, Data Science, Electrical/Computer, or equivalent experience Engineering, Physics, Mathematics, other Engineering fields. 3+ years of academic and/or industry experience in fields related to machine learning, deep learning and/or data science. You are excited to work with multiple levels and teams across organizations (Engineering, Product, Sales and Marketing team). You are a self-starter with attitude for growth, passion for continuous learning and sharing findings across the team. Ways to Stand Out from The Crowd: Experience running large scale distributed DL training Background with working with larger transformer-based architectures Expertise with chatbot related technologies such as ASR, TTS, LLMs, or RAG Experience using DevOps technologies such as Docker, Kubernetes, Singularity, etc Understanding of HPC systems: data center design, high speed interconnect InfiniBand, cluster storage and scheduling related design and/or management experience NVIDIA is a Learning Machine NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA Company: JP02 NVIDIA Japan KK Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Clustering , Industry , Machine Learning , Neural Networks , NLP , Unspecified
Apr 16, 2024
Full time
NVIDIA's Worldwide Field Operations (WWFO) team is looking for a Data Science focused Solution Architect with expertise in Machine Learning (ML), Deep Learning (DL) and Data Science platforms. Exposure to inferencing technology (e.g., understanding of model compression techniques, model compilation or model serving) would be an added value. In our Solutions Architecture team, we work with the most exciting computing hardware and software, driving the latest breakthroughs in artificial intelligence. We need individuals who can enable customer productivity and develop lasting relationships with our technology partners, making NVIDIA an integral part of end-user solutions. We are looking for someone always thinking about artificial intelligence, someone who can maintain synergy in a fast paced, rapidly evolving field, someone able to coordinate efforts between corporate marketing, industry business development and engineering. You will be working with the latest HPC architectures coupled with the most advanced neural network models, changing the way people interact with technology. As a Solutions Architect, you will be the first line of technical expertise between NVIDIA and our customers. Your duties will vary from working on proof-of-concept demonstrations, to driving relationships with key executives and managers to evangelize accelerated computing. Dynamically engaging with developers, scientific researchers, data scientists, IT managers and senior leaders is a meaningful part of the Solutions Architect role and will give you experience with a range of partners and concerns. What You'll Be Doing: Develop and demonstrate solutions based on NVIDIA's state-of-the-art AI and ML software and hardware technologies to customers. Work directly with key customers to understand their technology and provide the best solutions. Perform in-depth analysis and optimization to ensure the best performance on GPU architecture systems. This includes support in optimization of both training and inference pipelines. Partner with Engineering, Product and Sales teams to develop, plan best suitable solutions for customers. Enable development and growth of product features through customer feedback and proof-of-concept evaluations. Build industry expertise and become a contributor in integrating NVIDIA technology into Enterprise Computing architectures. What We Need to See: Excellent verbal, written communication, and technical presentation skills in Japanese. Business level English communication is also a requirement. MS/PhD in Computer Science, Data Science, Electrical/Computer, or equivalent experience Engineering, Physics, Mathematics, other Engineering fields. 3+ years of academic and/or industry experience in fields related to machine learning, deep learning and/or data science. You are excited to work with multiple levels and teams across organizations (Engineering, Product, Sales and Marketing team). You are a self-starter with attitude for growth, passion for continuous learning and sharing findings across the team. Ways to Stand Out from The Crowd: Experience running large scale distributed DL training Background with working with larger transformer-based architectures Expertise with chatbot related technologies such as ASR, TTS, LLMs, or RAG Experience using DevOps technologies such as Docker, Kubernetes, Singularity, etc Understanding of HPC systems: data center design, high speed interconnect InfiniBand, cluster storage and scheduling related design and/or management experience NVIDIA is a Learning Machine NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA Company: JP02 NVIDIA Japan KK Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Clustering , Industry , Machine Learning , Neural Networks , NLP , Unspecified
Technology London, England Full-time Company Description MarketAxess is on a journey to digitally transform one of the world's largest financial markets, enabling the shift from analog, phone-based trading to a fully electronic marketplace. Why does this matter? Because our platform makes trading fixed-income more accessible, ultimately improving transparency, efficiency, and competition in the marketplace. Changing the way an established industry transacts is no easy feat. There will be twists and turns, because no one's ever done this before. But now, more than 2,000 clients around the world rely on our solutions, and that number is only expected to grow in the years ahead. We know where we're going. How we get there is up to us. Join us and help Take Us There. The Role We are seeking an experienced Senior Software Engineer for our Engineering Enablement platform team. This team is building a cutting-edge developer productivity platform that will help our product development teams deliver features more rapidly and integrate code quality and security into all our products. As a senior member of the Engineering Enablement team, you should be passionate about technology, developer experience, code quality, and evangelising software development best practices. You'll work with the team to design and build out the platform that the rest of the company uses to deliver software, mentor more junior engineers, and help communicate what we do to the rest of the organisation. We embrace a culture of collaboration and experimentation while striving and encouraging all team members to focus on continuous improvement and learning. We openly welcome diverse perspectives and people who are not afraid to challenge assumptions and prior ways of working. Otherwise, how do we innovate, learn and grow as a team and individuals? How You'll Help Take Us There Design and architect scalable and reliable platform solutions Collaborate with cross-functional teams to understand requirements and integrate new features Lead code reviews and provide mentorship to junior engineers Ensure platform performance, security, and stability through testing and observability Evaluate and implement new technologies to enhance the platform's capabilities Troubleshoot and resolve complex issues related to the platform Define and enforce coding standards and best practices within the team and across the organisation Collaborate with product managers to align platform development with overall product goals Participate in on-call rotations to address urgent platform issues Contribute to the documentation of platform architecture, APIs, and processes Develop software to provide the best possible experience for our product development teams and help them efficiently release high-quality software What We're Looking For Minimum 7 years of experience in software development, with a focus on platform engineering Minimum 3 years of experience in designing, building, deploying, and automating infrastructure using infrastructure as code (e.g., CloudFormation, Terraform) Proficiency in at least one programming language such as Python, or Go Strong understanding of distributed systems, microservices architecture, and cloud computing concepts (e.g., AWS, Azure, GCP) Experience with containerisation technologies like Docker and orchestration tools such as Kubernetes Experience in designing and implementing APIs and other web services Real-work experience with DevOps practices and tools for continuous integration and deployment CI/CD systems (e.g., GitLab CI, GitHub Actions, Jenkins) Proven track record of leading technical projects from conception to delivery Excellent problem-solving skills and the ability to thrive in a fast-pace, dynamic environment Strong communication skills and the ability to collaborate effectively with cross-functional teams Experience with Agile methodologies and working in Agile teams Strong knowledge of database systems (SQL and NoSQL), caching mechanisms, and message brokers Expert in defining, designing, and developing distributed and scalable products and services Experience with Software as a Service products and integrating multiple SaaS products What You Can Expect from Us Central Location: based at our city offices near St Paul's. Free Food: We provide lunch each day of the week when the employee attends the office via our vendor Feedr as well as breakfast cereals, office snacks and drinks from our free vending machines Paid Time Off: 25 days annual leave entitlement plus 2 charity days Reward for your service: We offer a two-week bonus holiday after completing each 5 years of service Core benefits: Besides competitive standard benefits package we offer private medical (PMI) for family, Cash Plan, health screenings, dental cover, 6X life assurance, critical illness cover, income protection, pension, car leasing (Tusker electronic cars), reimbursement for wellness stipend, interest free season ticket loan and a "Share Incentive" plan Tuition Assistance and Professional Training: Benefit from on-demand learning, boot camps, and opportunities to attend conferences For job positions in NYC, NY, and other locations where required, the estimated salary range for a new hire into this position is £100,000 to £135,000. Actual salary may vary depending on job-related factors, which may include knowledge, skills, experience, and location. You may also be eligible for annual cash incentives, equity, and other benefit programs. Collaboration and innovation are integral to our success - it's how we got to where we are and how we'll maintain and grow our competitive advantage. Employees in Technology work in the office 2 or more days a week. This approach still allows for flexibility depending on the business function you work within but also helps us maintain a collaborative office environment long-term.
Apr 16, 2024
Full time
Technology London, England Full-time Company Description MarketAxess is on a journey to digitally transform one of the world's largest financial markets, enabling the shift from analog, phone-based trading to a fully electronic marketplace. Why does this matter? Because our platform makes trading fixed-income more accessible, ultimately improving transparency, efficiency, and competition in the marketplace. Changing the way an established industry transacts is no easy feat. There will be twists and turns, because no one's ever done this before. But now, more than 2,000 clients around the world rely on our solutions, and that number is only expected to grow in the years ahead. We know where we're going. How we get there is up to us. Join us and help Take Us There. The Role We are seeking an experienced Senior Software Engineer for our Engineering Enablement platform team. This team is building a cutting-edge developer productivity platform that will help our product development teams deliver features more rapidly and integrate code quality and security into all our products. As a senior member of the Engineering Enablement team, you should be passionate about technology, developer experience, code quality, and evangelising software development best practices. You'll work with the team to design and build out the platform that the rest of the company uses to deliver software, mentor more junior engineers, and help communicate what we do to the rest of the organisation. We embrace a culture of collaboration and experimentation while striving and encouraging all team members to focus on continuous improvement and learning. We openly welcome diverse perspectives and people who are not afraid to challenge assumptions and prior ways of working. Otherwise, how do we innovate, learn and grow as a team and individuals? How You'll Help Take Us There Design and architect scalable and reliable platform solutions Collaborate with cross-functional teams to understand requirements and integrate new features Lead code reviews and provide mentorship to junior engineers Ensure platform performance, security, and stability through testing and observability Evaluate and implement new technologies to enhance the platform's capabilities Troubleshoot and resolve complex issues related to the platform Define and enforce coding standards and best practices within the team and across the organisation Collaborate with product managers to align platform development with overall product goals Participate in on-call rotations to address urgent platform issues Contribute to the documentation of platform architecture, APIs, and processes Develop software to provide the best possible experience for our product development teams and help them efficiently release high-quality software What We're Looking For Minimum 7 years of experience in software development, with a focus on platform engineering Minimum 3 years of experience in designing, building, deploying, and automating infrastructure using infrastructure as code (e.g., CloudFormation, Terraform) Proficiency in at least one programming language such as Python, or Go Strong understanding of distributed systems, microservices architecture, and cloud computing concepts (e.g., AWS, Azure, GCP) Experience with containerisation technologies like Docker and orchestration tools such as Kubernetes Experience in designing and implementing APIs and other web services Real-work experience with DevOps practices and tools for continuous integration and deployment CI/CD systems (e.g., GitLab CI, GitHub Actions, Jenkins) Proven track record of leading technical projects from conception to delivery Excellent problem-solving skills and the ability to thrive in a fast-pace, dynamic environment Strong communication skills and the ability to collaborate effectively with cross-functional teams Experience with Agile methodologies and working in Agile teams Strong knowledge of database systems (SQL and NoSQL), caching mechanisms, and message brokers Expert in defining, designing, and developing distributed and scalable products and services Experience with Software as a Service products and integrating multiple SaaS products What You Can Expect from Us Central Location: based at our city offices near St Paul's. Free Food: We provide lunch each day of the week when the employee attends the office via our vendor Feedr as well as breakfast cereals, office snacks and drinks from our free vending machines Paid Time Off: 25 days annual leave entitlement plus 2 charity days Reward for your service: We offer a two-week bonus holiday after completing each 5 years of service Core benefits: Besides competitive standard benefits package we offer private medical (PMI) for family, Cash Plan, health screenings, dental cover, 6X life assurance, critical illness cover, income protection, pension, car leasing (Tusker electronic cars), reimbursement for wellness stipend, interest free season ticket loan and a "Share Incentive" plan Tuition Assistance and Professional Training: Benefit from on-demand learning, boot camps, and opportunities to attend conferences For job positions in NYC, NY, and other locations where required, the estimated salary range for a new hire into this position is £100,000 to £135,000. Actual salary may vary depending on job-related factors, which may include knowledge, skills, experience, and location. You may also be eligible for annual cash incentives, equity, and other benefit programs. Collaboration and innovation are integral to our success - it's how we got to where we are and how we'll maintain and grow our competitive advantage. Employees in Technology work in the office 2 or more days a week. This approach still allows for flexibility depending on the business function you work within but also helps us maintain a collaborative office environment long-term.
Intuit's Small Business Group (SBG), serves the needs of small businesses and self-employed through Quickbooks and our ecosystem of attached products. Our mission is to power prosperity around the world, which means dramatically rethinking how we enable small businesses and individuals to run their businesses with confidence. Intuit UK is searching for a talented, hands-on Data Scientist to help deliver data science initiatives across the UK Business. We are an exciting, fast paced, and innovative team, leveraging industry-leading tools and best practices. As a Data Scientist, you will collaborate with cross functional teams to develop ML models and customer facing AI solutions. You will take complex concepts and communicate them to both technical and non-technical leaders in order to effect change for our customers. You will play an instrumental part in shaping the strategy and future of the UK Data Science Program. Working across Intuit AI, Data Engineering, Product and Marketing you will be involved in every step of the modeling process from creating and maintaining model data pipelines to A/B testing the models in production with white space opportunities to drive innovation and personal development. Responsibilities Perform hands-on data analysis and modeling with large data sets Lead experimental designs and measurement plans Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver Advanced in SQL and a statistical programming language such as Python or R 2+ years experience in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, recommender systems, sequential pattern discovery, and text mining Expertise in experimental design and Multivariate/A-B testing Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences. Undergraduate Degree in Quantitative Field, or equivalent experience
Apr 16, 2024
Full time
Intuit's Small Business Group (SBG), serves the needs of small businesses and self-employed through Quickbooks and our ecosystem of attached products. Our mission is to power prosperity around the world, which means dramatically rethinking how we enable small businesses and individuals to run their businesses with confidence. Intuit UK is searching for a talented, hands-on Data Scientist to help deliver data science initiatives across the UK Business. We are an exciting, fast paced, and innovative team, leveraging industry-leading tools and best practices. As a Data Scientist, you will collaborate with cross functional teams to develop ML models and customer facing AI solutions. You will take complex concepts and communicate them to both technical and non-technical leaders in order to effect change for our customers. You will play an instrumental part in shaping the strategy and future of the UK Data Science Program. Working across Intuit AI, Data Engineering, Product and Marketing you will be involved in every step of the modeling process from creating and maintaining model data pipelines to A/B testing the models in production with white space opportunities to drive innovation and personal development. Responsibilities Perform hands-on data analysis and modeling with large data sets Lead experimental designs and measurement plans Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver Advanced in SQL and a statistical programming language such as Python or R 2+ years experience in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, recommender systems, sequential pattern discovery, and text mining Expertise in experimental design and Multivariate/A-B testing Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences. Undergraduate Degree in Quantitative Field, or equivalent experience
We are Quantcast. Global leaders in AI-powered programmatic advertising and media performance. With measurement and consumer analytics in our DNA, we empower marketers to reach audiences and deliver measurable outcomes. Our mission is to make every marketer more successful, every campaign outperforms expectations, empowering brands to build meaningful relationships with consumers and achieve business results. Since our founding in 2006, Quantcast has led the industry with some market-changing firsts including the first measurement platform for digital publishers and the first AI-powered DSP. If you're ready to join a passionate team building cutting-edge solutions - Quantcast is for you. The Modeling team is responsible for Machine Learning (ML) Systems at Quantcast and is located in London and San Francisco. We build and maintain multiple ML products. We price millions of bid requests per second in a real-time auction environment to maximize advertiser outcomes. For each bid our models predict age, gender, viewability, fraud, advertiser relevance and many more characteristics. Using NLP, clustering and LLMs we build topics in multiple languages to help our advertisers target customers interested in relevant content. As a Machine Learning Engineer you care about the health and maintainability of our systems and the velocity of the engineering teams. You explore data, research new algorithms, experiment with proof of concepts, and build out scalable real-time production systems to tackle challenges the company faces. Responsibilities: Design, code, test, and debug ML applications and constantly improve large-scale global systems that respond to millions of real-time requests per second efficiently. Write clean, efficient, and maintainable code using industry best practices. Collaborate closely with product and platform engineering teams, to deliver high-quality ML products.Participate in code reviews and provide constructive feedback to team members. Identify performance bottlenecks and optimize system components for enhanced scalability. Generate and review proposals for further research and development directions. Keep up to date with developments in machine learning outside the company. Requirements: You are a new or recently qualified University graduate with a degree in Computer Science or a related technical field. Fluency in Python, Java or similar programming languages. Strong skills in mathematics and statistics. Exposure to ML algorithms such as classification, control systems, optimization, clustering, LLMs or recommendation systems. An interest in distributed system and software design, concurrent algorithms, data structures, and software engineering. Ultimately, in determining your offer, we will take into consideration your geographic location, relevant experience and expertise, and other job-related factors. Furthermore, full-time roles are eligible for a bonus, equity, and benefits (depending on your location) which include hybrid work, vacation, medical, dental, and vision insurance, and retirement plans. Please see our Careers page for additional information. Founded in 2006 and headquartered in San Francisco, Quantcast has employees in 18 offices across 10 countries. We are committed to building an inclusive and diverse environment where everyone can be their authentic self. We work to ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Recognizing the importance of flexible work environments, Quantcast operates in a hybrid work model. This model gives employees the opportunity to work from home two days a week and work in the office for team collaboration for the remainder of the time. Our hybrid model may differ based on location or team, so please consult with your hiring manager for further information. All hybrid employees can also work remotely for two weeks each year or, if eligible, apply for our fully remote work program. We strongly encourage vaccination for all Quantcast employees as a way to stop the spread of COVID and protect yourself and others.
Apr 16, 2024
Full time
We are Quantcast. Global leaders in AI-powered programmatic advertising and media performance. With measurement and consumer analytics in our DNA, we empower marketers to reach audiences and deliver measurable outcomes. Our mission is to make every marketer more successful, every campaign outperforms expectations, empowering brands to build meaningful relationships with consumers and achieve business results. Since our founding in 2006, Quantcast has led the industry with some market-changing firsts including the first measurement platform for digital publishers and the first AI-powered DSP. If you're ready to join a passionate team building cutting-edge solutions - Quantcast is for you. The Modeling team is responsible for Machine Learning (ML) Systems at Quantcast and is located in London and San Francisco. We build and maintain multiple ML products. We price millions of bid requests per second in a real-time auction environment to maximize advertiser outcomes. For each bid our models predict age, gender, viewability, fraud, advertiser relevance and many more characteristics. Using NLP, clustering and LLMs we build topics in multiple languages to help our advertisers target customers interested in relevant content. As a Machine Learning Engineer you care about the health and maintainability of our systems and the velocity of the engineering teams. You explore data, research new algorithms, experiment with proof of concepts, and build out scalable real-time production systems to tackle challenges the company faces. Responsibilities: Design, code, test, and debug ML applications and constantly improve large-scale global systems that respond to millions of real-time requests per second efficiently. Write clean, efficient, and maintainable code using industry best practices. Collaborate closely with product and platform engineering teams, to deliver high-quality ML products.Participate in code reviews and provide constructive feedback to team members. Identify performance bottlenecks and optimize system components for enhanced scalability. Generate and review proposals for further research and development directions. Keep up to date with developments in machine learning outside the company. Requirements: You are a new or recently qualified University graduate with a degree in Computer Science or a related technical field. Fluency in Python, Java or similar programming languages. Strong skills in mathematics and statistics. Exposure to ML algorithms such as classification, control systems, optimization, clustering, LLMs or recommendation systems. An interest in distributed system and software design, concurrent algorithms, data structures, and software engineering. Ultimately, in determining your offer, we will take into consideration your geographic location, relevant experience and expertise, and other job-related factors. Furthermore, full-time roles are eligible for a bonus, equity, and benefits (depending on your location) which include hybrid work, vacation, medical, dental, and vision insurance, and retirement plans. Please see our Careers page for additional information. Founded in 2006 and headquartered in San Francisco, Quantcast has employees in 18 offices across 10 countries. We are committed to building an inclusive and diverse environment where everyone can be their authentic self. We work to ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Recognizing the importance of flexible work environments, Quantcast operates in a hybrid work model. This model gives employees the opportunity to work from home two days a week and work in the office for team collaboration for the remainder of the time. Our hybrid model may differ based on location or team, so please consult with your hiring manager for further information. All hybrid employees can also work remotely for two weeks each year or, if eligible, apply for our fully remote work program. We strongly encourage vaccination for all Quantcast employees as a way to stop the spread of COVID and protect yourself and others.
About Lendable Lendable is on a mission to make consumer finance amazing:faster, cheaper and friendlier. world's leading fintech companies and are off to a strong start: UK's newest unicorns with a team of just over 400 people top 10 fastest-growing tech companies in the UK Profitable since 2017 Balderton Capital and Goldman Sachs Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot ) So far, we've rebuilt theBig Threeconsumer finance products from scratch: loans, credit cards and car finance. We get money into our customers' hands in minutes instead of days. We're growing fast, and there's a lot more to do: we're going after the two biggest Western markets(UK and US)where trillions worth of these are held by big banks with dated systems and painful processes. Join us if you want to Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo best technologyin-house, using new data sources, machine learning and AI to make machines do the heavy lifting About the role We're looking for aSenior React Native Engineerto join our Zable Credit Card team for a 6 month contract, joining a cross-functional team building and refining features for ourexisting iOS & Android applications, used by over450,000 customers. Over the last 6 months we've introduced new features likeVariable Recurring PaymentswithOpen Banking, enabled customers to instantly spend upon approval usingApple & Google Pay, and expanded our offering by introducingloan offers for eligible customersfrom oursister product, Lendable. Our next focus is on continuing tobuild key features that delight customersanddrive self-serve automationas we surpass half a million customers, allowing our cardholders to manage as many aspects of their account directly via our apps as possible. Alongside feature work we also put a big focus onimproving performance,reducing tech debt, andimproving scalability. Our ideal engineer is detail focused and resourceful, and keen to understand the bigger picture outside of their product team, contributing to wider engineering and business initiatives thathelp us scale our UKandUS based productsas we continue togrow. About you You have asolidunderstanding of modern Javascript with Typescript You have commercial experience withcross-platform mobile development using React Native You have a strong understanding of the different needs of mobile users across a variety of platforms and devices Youare an advocate for automated testing, and take a pragmatic approach to implementing and improving the various phases of the testing pyramid You can quicklyidentify and assess technical debtand are keen to make the case for remedying it whenever the opportunity arises You understand the importance ofcatering to users with accessibility needs, and are familiar with the approaches and tooling required to ensure accessibility guidelines and best practices are adhered to You have experience working with product owners tobreak down business requirements into deliverable tasksand estimate the complexity of their implementation. You can quickly identify the difficulties of implementing a feature from an initial design wireframe or outline spec and are comfortable putting forward alternative approaches where appropriate You haveexperience mentoring and supporting other engineers,playing a role in their personal and professional growth, and enabling them to succeed. What would make you stand out You've used Firebase to support product functionality, in particular with Firebase Remote Config and Firebase Cloud Messaging You've worked with OpenAPI/Swagger specifications to help define API requirements and contracts,collaborating with backend developers to agree on best approacheswhen scoping work that requires new and updated schemas You have in-depth experience ofmobile performance best practicesanddebugging You've employed staged rollouts andmultivariate testing approachesto release new features andtest hypotheses You haveexperience of UI or UX design. You feel at ease discussing approaches with product designers, and are happy to get involved in making design decisions where required You've built, or worked on,products that have scaled from zero users to tens or hundreds of thousands (or more), and can apply what you learnt in new contexts Interview process A1 hourvideo call with our hiring manager to discuss your experience and answer any initial technical questions you have about the role A45 minute Tech Interview Final interview with our Group Product Manager
Apr 16, 2024
Full time
About Lendable Lendable is on a mission to make consumer finance amazing:faster, cheaper and friendlier. world's leading fintech companies and are off to a strong start: UK's newest unicorns with a team of just over 400 people top 10 fastest-growing tech companies in the UK Profitable since 2017 Balderton Capital and Goldman Sachs Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot ) So far, we've rebuilt theBig Threeconsumer finance products from scratch: loans, credit cards and car finance. We get money into our customers' hands in minutes instead of days. We're growing fast, and there's a lot more to do: we're going after the two biggest Western markets(UK and US)where trillions worth of these are held by big banks with dated systems and painful processes. Join us if you want to Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo best technologyin-house, using new data sources, machine learning and AI to make machines do the heavy lifting About the role We're looking for aSenior React Native Engineerto join our Zable Credit Card team for a 6 month contract, joining a cross-functional team building and refining features for ourexisting iOS & Android applications, used by over450,000 customers. Over the last 6 months we've introduced new features likeVariable Recurring PaymentswithOpen Banking, enabled customers to instantly spend upon approval usingApple & Google Pay, and expanded our offering by introducingloan offers for eligible customersfrom oursister product, Lendable. Our next focus is on continuing tobuild key features that delight customersanddrive self-serve automationas we surpass half a million customers, allowing our cardholders to manage as many aspects of their account directly via our apps as possible. Alongside feature work we also put a big focus onimproving performance,reducing tech debt, andimproving scalability. Our ideal engineer is detail focused and resourceful, and keen to understand the bigger picture outside of their product team, contributing to wider engineering and business initiatives thathelp us scale our UKandUS based productsas we continue togrow. About you You have asolidunderstanding of modern Javascript with Typescript You have commercial experience withcross-platform mobile development using React Native You have a strong understanding of the different needs of mobile users across a variety of platforms and devices Youare an advocate for automated testing, and take a pragmatic approach to implementing and improving the various phases of the testing pyramid You can quicklyidentify and assess technical debtand are keen to make the case for remedying it whenever the opportunity arises You understand the importance ofcatering to users with accessibility needs, and are familiar with the approaches and tooling required to ensure accessibility guidelines and best practices are adhered to You have experience working with product owners tobreak down business requirements into deliverable tasksand estimate the complexity of their implementation. You can quickly identify the difficulties of implementing a feature from an initial design wireframe or outline spec and are comfortable putting forward alternative approaches where appropriate You haveexperience mentoring and supporting other engineers,playing a role in their personal and professional growth, and enabling them to succeed. What would make you stand out You've used Firebase to support product functionality, in particular with Firebase Remote Config and Firebase Cloud Messaging You've worked with OpenAPI/Swagger specifications to help define API requirements and contracts,collaborating with backend developers to agree on best approacheswhen scoping work that requires new and updated schemas You have in-depth experience ofmobile performance best practicesanddebugging You've employed staged rollouts andmultivariate testing approachesto release new features andtest hypotheses You haveexperience of UI or UX design. You feel at ease discussing approaches with product designers, and are happy to get involved in making design decisions where required You've built, or worked on,products that have scaled from zero users to tens or hundreds of thousands (or more), and can apply what you learnt in new contexts Interview process A1 hourvideo call with our hiring manager to discuss your experience and answer any initial technical questions you have about the role A45 minute Tech Interview Final interview with our Group Product Manager
About Lendable Lendable is on a mission to make consumer finance amazing:faster, cheaper and friendlier. world's leading fintech companies and are off to a strong start: UK's newest unicorns with a team of just over 400 people top 10 fastest-growing tech companies in the UK Profitable since 2017 Balderton Capital and Goldman Sachs Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot ) So far, we've rebuilt theBig Threeconsumer finance products from scratch: loans, credit cards and car finance. We get money into our customers' hands in minutes instead of days. We're growing fast, and there's a lot more to do: we're going after the two biggest Western markets(UK and US)where trillions worth of these are held by big banks with dated systems and painful processes. Join us if you want to Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo best technologyin-house, using new data sources, machine learning and AI to make machines do the heavy lifting About the role We're looking for aSenior React Native Engineerto join our Zable Credit Card team,joining a cross-functional team building and refining features for ourexisting iOS & Android applications, used by over450,000 customers. Over the last 6 months we've introduced new features likeVariable Recurring PaymentswithOpen Banking, enabled customers to instantly spend upon approval usingApple & Google Pay, and expanded our offering by introducingloan offers for eligible customersfrom oursister product, Lendable. Our next focus is on continuing tobuild key features that delight customersanddrive self-serve automationas we surpass half a million customers, allowing our cardholders to manage as many aspects of their account directly via our apps as possible. Alongside feature work we also put a big focus onimproving performance,reducing tech debt, andimproving scalability. Our ideal engineer is detail focused and resourceful, and keen to understand the bigger picture outside of their product team, contributing to wider engineering and business initiatives thathelp us scale our UKandUS based productsas we continue togrow. About you You have asolidunderstanding of modern Javascript with Typescript You have commercial experience withcross-platform mobile development using React Native You have a strong understanding of the different needs of mobile users across a variety of platforms and devices Youare an advocate for automated testing, and take a pragmatic approach to implementing and improving the various phases of the testing pyramid You can quicklyidentify and assess technical debtand are keen to make the case for remedying it whenever the opportunity arises You understand the importance ofcatering to users with accessibility needs, and are familiar with the approaches and tooling required to ensure accessibility guidelines and best practices are adhered to You have experience working with product owners tobreak down business requirements into deliverable tasksand estimate the complexity of their implementation. You can quickly identify the difficulties of implementing a feature from an initial design wireframe or outline spec and are comfortable putting forward alternative approaches where appropriate You haveexperience mentoring and supporting other engineers,playing a role in their personal and professional growth, and enabling them to succeed. What would make you stand out You've used Firebase to support product functionality, in particular with Firebase Remote Config and Firebase Cloud Messaging You've worked with OpenAPI/Swagger specifications to help define API requirements and contracts,collaborating with backend developers to agree on best approacheswhen scoping work that requires new and updated schemas You have in-depth experience ofmobile performance best practicesanddebugging You've employed staged rollouts andmultivariate testing approachesto release new features andtest hypotheses You haveexperience of UI or UX design. You feel at ease discussing approaches with product designers, and are happy to get involved in making design decisions where required You've built, or worked on,products that have scaled from zero users to tens or hundreds of thousands (or more), and can apply what you learnt in new contexts Interview process Aquickvideo call with a member of our talent team to learn more about you A30-minutevideo call with an engineer to discuss your experience and answer any initial technical questions you have about the role Ashort React Native coding exerciseto complete in your own time FinalOnsite or Videointerviews; Atechnical session with your peerswhere you'll discuss your solution to the exercise, talk through some problems and scenarios, and dig deeper into your technical experience An interview with anEngineering Managerto explore your motivations and goals, assess how you could play a part in your team's success, and better understand how we could help you thrive in your role.
Apr 16, 2024
Full time
About Lendable Lendable is on a mission to make consumer finance amazing:faster, cheaper and friendlier. world's leading fintech companies and are off to a strong start: UK's newest unicorns with a team of just over 400 people top 10 fastest-growing tech companies in the UK Profitable since 2017 Balderton Capital and Goldman Sachs Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot ) So far, we've rebuilt theBig Threeconsumer finance products from scratch: loans, credit cards and car finance. We get money into our customers' hands in minutes instead of days. We're growing fast, and there's a lot more to do: we're going after the two biggest Western markets(UK and US)where trillions worth of these are held by big banks with dated systems and painful processes. Join us if you want to Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo best technologyin-house, using new data sources, machine learning and AI to make machines do the heavy lifting About the role We're looking for aSenior React Native Engineerto join our Zable Credit Card team,joining a cross-functional team building and refining features for ourexisting iOS & Android applications, used by over450,000 customers. Over the last 6 months we've introduced new features likeVariable Recurring PaymentswithOpen Banking, enabled customers to instantly spend upon approval usingApple & Google Pay, and expanded our offering by introducingloan offers for eligible customersfrom oursister product, Lendable. Our next focus is on continuing tobuild key features that delight customersanddrive self-serve automationas we surpass half a million customers, allowing our cardholders to manage as many aspects of their account directly via our apps as possible. Alongside feature work we also put a big focus onimproving performance,reducing tech debt, andimproving scalability. Our ideal engineer is detail focused and resourceful, and keen to understand the bigger picture outside of their product team, contributing to wider engineering and business initiatives thathelp us scale our UKandUS based productsas we continue togrow. About you You have asolidunderstanding of modern Javascript with Typescript You have commercial experience withcross-platform mobile development using React Native You have a strong understanding of the different needs of mobile users across a variety of platforms and devices Youare an advocate for automated testing, and take a pragmatic approach to implementing and improving the various phases of the testing pyramid You can quicklyidentify and assess technical debtand are keen to make the case for remedying it whenever the opportunity arises You understand the importance ofcatering to users with accessibility needs, and are familiar with the approaches and tooling required to ensure accessibility guidelines and best practices are adhered to You have experience working with product owners tobreak down business requirements into deliverable tasksand estimate the complexity of their implementation. You can quickly identify the difficulties of implementing a feature from an initial design wireframe or outline spec and are comfortable putting forward alternative approaches where appropriate You haveexperience mentoring and supporting other engineers,playing a role in their personal and professional growth, and enabling them to succeed. What would make you stand out You've used Firebase to support product functionality, in particular with Firebase Remote Config and Firebase Cloud Messaging You've worked with OpenAPI/Swagger specifications to help define API requirements and contracts,collaborating with backend developers to agree on best approacheswhen scoping work that requires new and updated schemas You have in-depth experience ofmobile performance best practicesanddebugging You've employed staged rollouts andmultivariate testing approachesto release new features andtest hypotheses You haveexperience of UI or UX design. You feel at ease discussing approaches with product designers, and are happy to get involved in making design decisions where required You've built, or worked on,products that have scaled from zero users to tens or hundreds of thousands (or more), and can apply what you learnt in new contexts Interview process Aquickvideo call with a member of our talent team to learn more about you A30-minutevideo call with an engineer to discuss your experience and answer any initial technical questions you have about the role Ashort React Native coding exerciseto complete in your own time FinalOnsite or Videointerviews; Atechnical session with your peerswhere you'll discuss your solution to the exercise, talk through some problems and scenarios, and dig deeper into your technical experience An interview with anEngineering Managerto explore your motivations and goals, assess how you could play a part in your team's success, and better understand how we could help you thrive in your role.
The Opportunity Algolia is the world's most comprehensive search and discovery company. The core of discovery is recommendation. While Algolia's history with Search is based on users pulling content with queries, Recommend aims at pushing content to them, without any particular explicit trigger. Using our recommendation platform means any business can take advantage of next-gen AI and ML technologies to create great online customer experiences. Our platform can be customized to any companys' unique business needs and instantly delivers precise, session-based recommendations. It's designed to be easily integrated into existing infrastructure and software and doesn't require constant and costly API and software updates. Recommendations generate more engagement from users (e.g. the success of feeds like TikTok demonstrate the power of pushing contents). Finally, Recommend completes the discovery experience by filling areas that would not otherwise be filled with search. As Product Manager for the Recommend team: You will play a pivotal role in owning and architecting our Recommend product, and play a central role in the future of discovery at Algolia You will be in the driver's seat to innovate in the multi-billion dollar market eCommerce industry The Team The Recommend group is a remote first, multicultural team that believes our diversity should match the world around us. We are looking for a Senior Product Manager who can build the roadmap, drive execution, and help to define the vision of the product in that space. Additionally, you will work cross functionally with other teams creating delightful moments for our customers. YOUR ROLE WILL CONSIST OF: Develop a deep understanding of customer needs in the Recommendation space and identify what we can build to enable them. Own, define, and communicate the roadmap of the Recommend team with all key stakeholders. Directly influence the vision and strategy. Build processes to deliver AI-driven solutions that satisfy the needs of our customers Collaborate with UX design efforts supporting product iterations of our dashboard as well as integrated platforms Collaborate with engineering and machine learning teams to master the specifications of our AI platform and APIs, and lead technical product development and integrations initiatives Assist the engineering manager to assess product development sprints and enhancement opportunities, monitor progress and evaluate results Build and nurture an agile and innovative product culture within the team, founded on the importance of continuous and rapid prototyping and learning Uses analytical and quantitative skills to manage the business 'by the numbers' Develop budgets, forecasts, and metrics Drive innovative ideas, solutions and products through leadership and decisive action Understand the evolving competitive landscape and identify potential strategic partnerships for complementary product offerings YOU MIGHT BE A FIT IF YOU HAVE: 5 years experience in B2B product management Demonstrated success in shipping and iterating on products within an agile software development environment An ability to work with engineering, design, product marketing, GTM sales, and customer support to help launch new products and support existing ones. Ability to understand technical business problems, craft effective strategies to tackle them, and present simple solutions to our customers Outstanding written and verbal communication skills Extremely well organized with the ability to balance multiple concurrent priorities in a fast-paced and dynamic startup environment Good-to-have familiarity with ML/AI technologies Nice-to-have familiarity with search and recommendation engines and technologies Nice-to-have good understanding of the eCommerce industry trends and ecosystems Experience writing code - for fun, college, or work - is a plus. We are looking for someone with a technical bent to communicate with our internal engineers and engineering management, as well as our engineering-focused customers. Preference for candidates with experience at our current stage and beyond (over 10,000 customers, $200-500M ARR range, high growth, lots of change and building internal infrastructure). We're looking for someone who can live our values: GRIT - Problem-solving and perseverance capability in an ever-changing and growing environment TRUST - Willingness to trust our co-workers and to take ownership CANDOR - Ability to receive and give constructive feedback. CARE - Genuine care about other team members, our clients, and the decisions we make in the company. HUMILITY- Aptitude for learning from others, putting ego aside.
Apr 16, 2024
Full time
The Opportunity Algolia is the world's most comprehensive search and discovery company. The core of discovery is recommendation. While Algolia's history with Search is based on users pulling content with queries, Recommend aims at pushing content to them, without any particular explicit trigger. Using our recommendation platform means any business can take advantage of next-gen AI and ML technologies to create great online customer experiences. Our platform can be customized to any companys' unique business needs and instantly delivers precise, session-based recommendations. It's designed to be easily integrated into existing infrastructure and software and doesn't require constant and costly API and software updates. Recommendations generate more engagement from users (e.g. the success of feeds like TikTok demonstrate the power of pushing contents). Finally, Recommend completes the discovery experience by filling areas that would not otherwise be filled with search. As Product Manager for the Recommend team: You will play a pivotal role in owning and architecting our Recommend product, and play a central role in the future of discovery at Algolia You will be in the driver's seat to innovate in the multi-billion dollar market eCommerce industry The Team The Recommend group is a remote first, multicultural team that believes our diversity should match the world around us. We are looking for a Senior Product Manager who can build the roadmap, drive execution, and help to define the vision of the product in that space. Additionally, you will work cross functionally with other teams creating delightful moments for our customers. YOUR ROLE WILL CONSIST OF: Develop a deep understanding of customer needs in the Recommendation space and identify what we can build to enable them. Own, define, and communicate the roadmap of the Recommend team with all key stakeholders. Directly influence the vision and strategy. Build processes to deliver AI-driven solutions that satisfy the needs of our customers Collaborate with UX design efforts supporting product iterations of our dashboard as well as integrated platforms Collaborate with engineering and machine learning teams to master the specifications of our AI platform and APIs, and lead technical product development and integrations initiatives Assist the engineering manager to assess product development sprints and enhancement opportunities, monitor progress and evaluate results Build and nurture an agile and innovative product culture within the team, founded on the importance of continuous and rapid prototyping and learning Uses analytical and quantitative skills to manage the business 'by the numbers' Develop budgets, forecasts, and metrics Drive innovative ideas, solutions and products through leadership and decisive action Understand the evolving competitive landscape and identify potential strategic partnerships for complementary product offerings YOU MIGHT BE A FIT IF YOU HAVE: 5 years experience in B2B product management Demonstrated success in shipping and iterating on products within an agile software development environment An ability to work with engineering, design, product marketing, GTM sales, and customer support to help launch new products and support existing ones. Ability to understand technical business problems, craft effective strategies to tackle them, and present simple solutions to our customers Outstanding written and verbal communication skills Extremely well organized with the ability to balance multiple concurrent priorities in a fast-paced and dynamic startup environment Good-to-have familiarity with ML/AI technologies Nice-to-have familiarity with search and recommendation engines and technologies Nice-to-have good understanding of the eCommerce industry trends and ecosystems Experience writing code - for fun, college, or work - is a plus. We are looking for someone with a technical bent to communicate with our internal engineers and engineering management, as well as our engineering-focused customers. Preference for candidates with experience at our current stage and beyond (over 10,000 customers, $200-500M ARR range, high growth, lots of change and building internal infrastructure). We're looking for someone who can live our values: GRIT - Problem-solving and perseverance capability in an ever-changing and growing environment TRUST - Willingness to trust our co-workers and to take ownership CANDOR - Ability to receive and give constructive feedback. CARE - Genuine care about other team members, our clients, and the decisions we make in the company. HUMILITY- Aptitude for learning from others, putting ego aside.
We are looking for a Data Scientist who will support our product, sales, leadership and marketing teams with insights gained from analysing data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimisation and using models to test the effectiveness of different courses of action. They must have experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. He/She/Ze must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. The Candidate You will be responsible for executing end-to-end advanced analytics/data science projects. Strong technical knowledge of designing bespoke AI and ML algorithms. Sound knowledge on applying various machine learning techniques in production levels. Business understanding - capturing and proactively initiating analysis requirements and defining success metrics. Data understanding - identifying and validating sources of data. Data preparation - extracting, merging and cleaning data from a variety of sources. Communicating clear recommendations and action plans to stakeholders. Having the skills needed to exploit the data and managing the issues of data privacy and security. Leverage high technical skill and ability to support the development of innovative data solutions which can differentiate and drive growth for MEDIPROSPECTS AI. Key Activities Promotional Effectiveness, Sensitivity and ROI Modelling, Multi-channel Strategy Analysis. Innovative Segmentation and Targeting techniques, customer and geography restructures. Customer Intelligence to understand the needs and Priorities for the NHS. Sub-National Business Tool Management, analysis, including potential customer engagement. You have a strong software engineering background and are capable of engaging in technical conversations and challenging teams to arrive at strong technical decisions themselves. Experienced with managing people and debugging issues in teams. Comfortable working with high-performing engineering teams who have a strong sense of autonomy in their decision making, be it technical or product focussed. While you're great with people and adept at managing relationships, you still keep up-to-date with the latest technical trends and shifts in order to maintain and enhance your understanding of the challenges your teams face. Qualifications Skills & Experience A postgraduate degree preferably PhD in a numerate discipline and a minimum of 2 years working in a hands-on technical analytics/data science role within a customer data analytics team would be beneficial though not essential. Demonstrable end-to-end analytics / data science project lifecycle experience with a track record in being able to spot opportunities and drive them through to delivery. Passionate about analytics / data science. Up-to-date with the latest developments. A desire and ability to research and pick up new tools and techniques quickly is essential. Some Experience in running various methods like Regression, Random forest, k-NN, k-Means, boosted trees, SVM, Neural Network, text mining, NLP, statistical modelling, data mining, exploratory data analysis, statistics (hypothesis testing, descriptive statistics). Experience of manipulating large quantities of high-dimensional data. Ability to extract, clean, and combine data from a variety of sources and ensure high levels of data quality. Ability to build predictive models and customer segmentations. Solid understanding of machine learning techniques. Ability to communicate findings and recommendations clearly at all levels of the organisation. Strategic Thinking - Support the delivery of the MEDIPROSPECTS AI analytics strategy working alongside the Data Solutions Team Manager, by providing high quality data and analytical solutions. Interpersonal requirements Highly effective and confident communicator with the ability to influence outcomes at all levels of the business. Teamwork is crucial. To be truly successful, you will need to navigate a complex matrix, build meaningful relationships along the way, ask for help, and offer help to others. You will be part of a highly collaborative UK HR team, and as such you will work across site and country boundaries on key HR initiatives. Strong leadership skills. Resilient and can demonstrate that you embrace challenges, with tenacity to always do the right thing, while driving the business forward. Embraces diversity and has professional experience in working in different places, different industries and different geographies. Ability to form impactful and trusted partnerships across the network and ensure sustained, fruitful and meaningful collaboration with all relevant stakeholders. Your role at Mediprospects.ai is integral to helping the world meet new breakthroughs that affect generations to come, and we're counting on your skills and inventiveness to help make meaningful contributions to global medical advancement. At Mediprospects AI, we're inventing for life and unlocking the human potential. Mediprospects AI is not accepting unsolicited assistance from search firms / recruitment agencies for this employment opportunity. Please, no phone calls or emails. All resumes should be submitted directly to and for any informal discussion, please contact to . Job: Market Research & Analytics Job Type: Permanent Salary: £55,000 to £80,000 per year based on experiences Job Segment: AI, Data Science, Medical, Technology, Healthcare, Research The benefits Competitive salary and share options Unlimited holiday Private health insurance Free catered lunches, snacks and team bonding Enhanced maternity & paternity leave Free healthcare and life assurance Career development, coaching and training
Apr 16, 2024
Full time
We are looking for a Data Scientist who will support our product, sales, leadership and marketing teams with insights gained from analysing data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimisation and using models to test the effectiveness of different courses of action. They must have experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. He/She/Ze must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. The Candidate You will be responsible for executing end-to-end advanced analytics/data science projects. Strong technical knowledge of designing bespoke AI and ML algorithms. Sound knowledge on applying various machine learning techniques in production levels. Business understanding - capturing and proactively initiating analysis requirements and defining success metrics. Data understanding - identifying and validating sources of data. Data preparation - extracting, merging and cleaning data from a variety of sources. Communicating clear recommendations and action plans to stakeholders. Having the skills needed to exploit the data and managing the issues of data privacy and security. Leverage high technical skill and ability to support the development of innovative data solutions which can differentiate and drive growth for MEDIPROSPECTS AI. Key Activities Promotional Effectiveness, Sensitivity and ROI Modelling, Multi-channel Strategy Analysis. Innovative Segmentation and Targeting techniques, customer and geography restructures. Customer Intelligence to understand the needs and Priorities for the NHS. Sub-National Business Tool Management, analysis, including potential customer engagement. You have a strong software engineering background and are capable of engaging in technical conversations and challenging teams to arrive at strong technical decisions themselves. Experienced with managing people and debugging issues in teams. Comfortable working with high-performing engineering teams who have a strong sense of autonomy in their decision making, be it technical or product focussed. While you're great with people and adept at managing relationships, you still keep up-to-date with the latest technical trends and shifts in order to maintain and enhance your understanding of the challenges your teams face. Qualifications Skills & Experience A postgraduate degree preferably PhD in a numerate discipline and a minimum of 2 years working in a hands-on technical analytics/data science role within a customer data analytics team would be beneficial though not essential. Demonstrable end-to-end analytics / data science project lifecycle experience with a track record in being able to spot opportunities and drive them through to delivery. Passionate about analytics / data science. Up-to-date with the latest developments. A desire and ability to research and pick up new tools and techniques quickly is essential. Some Experience in running various methods like Regression, Random forest, k-NN, k-Means, boosted trees, SVM, Neural Network, text mining, NLP, statistical modelling, data mining, exploratory data analysis, statistics (hypothesis testing, descriptive statistics). Experience of manipulating large quantities of high-dimensional data. Ability to extract, clean, and combine data from a variety of sources and ensure high levels of data quality. Ability to build predictive models and customer segmentations. Solid understanding of machine learning techniques. Ability to communicate findings and recommendations clearly at all levels of the organisation. Strategic Thinking - Support the delivery of the MEDIPROSPECTS AI analytics strategy working alongside the Data Solutions Team Manager, by providing high quality data and analytical solutions. Interpersonal requirements Highly effective and confident communicator with the ability to influence outcomes at all levels of the business. Teamwork is crucial. To be truly successful, you will need to navigate a complex matrix, build meaningful relationships along the way, ask for help, and offer help to others. You will be part of a highly collaborative UK HR team, and as such you will work across site and country boundaries on key HR initiatives. Strong leadership skills. Resilient and can demonstrate that you embrace challenges, with tenacity to always do the right thing, while driving the business forward. Embraces diversity and has professional experience in working in different places, different industries and different geographies. Ability to form impactful and trusted partnerships across the network and ensure sustained, fruitful and meaningful collaboration with all relevant stakeholders. Your role at Mediprospects.ai is integral to helping the world meet new breakthroughs that affect generations to come, and we're counting on your skills and inventiveness to help make meaningful contributions to global medical advancement. At Mediprospects AI, we're inventing for life and unlocking the human potential. Mediprospects AI is not accepting unsolicited assistance from search firms / recruitment agencies for this employment opportunity. Please, no phone calls or emails. All resumes should be submitted directly to and for any informal discussion, please contact to . Job: Market Research & Analytics Job Type: Permanent Salary: £55,000 to £80,000 per year based on experiences Job Segment: AI, Data Science, Medical, Technology, Healthcare, Research The benefits Competitive salary and share options Unlimited holiday Private health insurance Free catered lunches, snacks and team bonding Enhanced maternity & paternity leave Free healthcare and life assurance Career development, coaching and training
If you need assistance during the recruiting process due to a disability, please reach out to our Recruiting Accommodations Team through the Accommodation Request form . This form is used only by individuals with disabilities who require assistance or adjustments in applying and interviewing for a job. This form is not for inquiring about a position or the status of an application. Are you interested in harnessing machine learning to power new personalisation experiences for travellers? Do you believe that modern online experiences should adapt to the needs and preferences of individual users? Are you fascinated by data, machine learning techniques, and software systems engineering? Do you love building creative, high-scale distributed systems using a diverse set of state of the art technologies? Our team wants to talk to you! What you'll do You work in a cross-functional team of ML Engineers and ML Scientists to operationalise ML models in production. You build scalable, high-performance systems for model development, data ingestion, feature engineering, inference, and monitoring/evaluation. You provide an accurate time estimates for your scope of work, turn it into code, and deliver on schedule. You advocate for quality coding. Write secure, stable, testable, maintainable code with minimal defects. Who you are 2+ years experience in ML and software engineering for Bachelor's, 1+ years for Master's Developed software in a team environment of at least 5 engineers (agile, version control, etc.). Built and maintained an ML model or pipeline in production environments in public/hybrid cloud infrastructure. Coding proficiency in at least one modern programming language (Java, Scala, Python etc.). Strong background in data structures and algorithms Experience working with at least one machine learning framework (TensorFlow, PyTorch, XGBoost, etc) Experience working with big data technologies (Spark, Kafka, Hive, Databricks, feature stores, etc). Experience working with containerisation, deployment and orchestration technologies (Docker, Kubernetes, Airflow, CI/CD pipelines, etc) Experience with automated testing, including unit, functional, and integration testing Excellent organizational and communication skills Bachelor's or master's degree in CS or similar About Expedia Group Expedia Group (NASDAQ: EXPE) powers travel for everyone, everywhere through our global platform. Driven by the core belief that travel is a force for good, we help people experience the world in new ways and build lasting connections. We provide industry-leading technology solutions to fuel partner growth and success, while facilitating memorable experiences for travelers. Expedia Group's family of brands includes: Brand Expedia, Expedia Partner Solutions, Vrbo, trivago, Orbitz, Travelocity, Hotwire, Wotif, ebookers, CheapTickets, Expedia Group Media Solutions, Expedia Local Expert, and Expedia Cruises. Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals to whom we have not made prior contact. Our email domain The official website to find and apply for job openings at Expedia Group is . Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age. If you need assistance during the recruiting process due to a disability, please reach out to our Recruiting Accommodations Team through the Accommodation Request form . This form is used only by individuals with disabilities who require assistance or adjustments in applying and interviewing for a job. This form is not for inquiring about a position or the status of an application. Machine Learning Engineer II Are you interested in harnessing machine learning to power new personalisation experiences for travellers? Do you believe that modern online experiences should adapt to the needs and preferences of individual users? Are you fascinated by data, machine learning techniques, and software systems engineering? Do you love building creative, high-scale distributed systems using a diverse set of state of the art technologies? Our team wants to talk to you! What you'll do You work in a cross-functional team of ML Engineers and ML Scientists to operationalise ML models in production. You build scalable, high-performance systems for model development, data ingestion, feature engineering, inference, and monitoring/evaluation. You provide an accurate time estimates for your scope of work, turn it into code, and deliver on schedule. You advocate for quality coding. Write secure, stable, testable, maintainable code with minimal defects. Who you are 2+ years experience in ML and software engineering for Bachelor's, 1+ years for Master's Developed software in a team environment of at least 5 engineers (agile, version control, etc.). Built and maintained an ML model or pipeline in production environments in public/hybrid cloud infrastructure. Coding proficiency in at least one modern programming language (Java, Scala, Python etc.). Strong background in data structures and algorithms Experience working with at least one machine learning framework (TensorFlow, PyTorch, XGBoost, etc) Experience working with big data technologies (Spark, Kafka, Hive, Databricks, feature stores, etc). Experience working with containerisation, deployment and orchestration technologies (Docker, Kubernetes, Airflow, CI/CD pipelines, etc) Experience with automated testing, including unit, functional, and integration testing Excellent organizational and communication skills Bachelor's or master's degree in CS or similar About Expedia Group Expedia Group (NASDAQ: EXPE) powers travel for everyone, everywhere through our global platform. Driven by the core belief that travel is a force for good, we help people experience the world in new ways and build lasting connections. We provide industry-leading technology solutions to fuel partner growth and success, while facilitating memorable experiences for travelers. Expedia Group's family of brands includes: Brand Expedia, Expedia Partner Solutions, Vrbo, trivago, Orbitz, Travelocity, Hotwire, Wotif, ebookers, CheapTickets, Expedia Group Media Solutions, Expedia Local Expert, and Expedia Cruises. 2021 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: -50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals to whom we have not made prior contact. Our email domain The official website to find and apply for job openings at Expedia Group is . Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age. Growth Marketing Manager, SEO and Data Insights At Expedia Group, we're committed to providing an inclusive and accessible recruiting experience for candidates with disabilities. If you require an accommodation or adjustment for any part of the application or hiring process, please let us know by completing our Accommodation Request form.
Apr 16, 2024
Full time
If you need assistance during the recruiting process due to a disability, please reach out to our Recruiting Accommodations Team through the Accommodation Request form . This form is used only by individuals with disabilities who require assistance or adjustments in applying and interviewing for a job. This form is not for inquiring about a position or the status of an application. Are you interested in harnessing machine learning to power new personalisation experiences for travellers? Do you believe that modern online experiences should adapt to the needs and preferences of individual users? Are you fascinated by data, machine learning techniques, and software systems engineering? Do you love building creative, high-scale distributed systems using a diverse set of state of the art technologies? Our team wants to talk to you! What you'll do You work in a cross-functional team of ML Engineers and ML Scientists to operationalise ML models in production. You build scalable, high-performance systems for model development, data ingestion, feature engineering, inference, and monitoring/evaluation. You provide an accurate time estimates for your scope of work, turn it into code, and deliver on schedule. You advocate for quality coding. Write secure, stable, testable, maintainable code with minimal defects. Who you are 2+ years experience in ML and software engineering for Bachelor's, 1+ years for Master's Developed software in a team environment of at least 5 engineers (agile, version control, etc.). Built and maintained an ML model or pipeline in production environments in public/hybrid cloud infrastructure. Coding proficiency in at least one modern programming language (Java, Scala, Python etc.). Strong background in data structures and algorithms Experience working with at least one machine learning framework (TensorFlow, PyTorch, XGBoost, etc) Experience working with big data technologies (Spark, Kafka, Hive, Databricks, feature stores, etc). Experience working with containerisation, deployment and orchestration technologies (Docker, Kubernetes, Airflow, CI/CD pipelines, etc) Experience with automated testing, including unit, functional, and integration testing Excellent organizational and communication skills Bachelor's or master's degree in CS or similar About Expedia Group Expedia Group (NASDAQ: EXPE) powers travel for everyone, everywhere through our global platform. Driven by the core belief that travel is a force for good, we help people experience the world in new ways and build lasting connections. We provide industry-leading technology solutions to fuel partner growth and success, while facilitating memorable experiences for travelers. Expedia Group's family of brands includes: Brand Expedia, Expedia Partner Solutions, Vrbo, trivago, Orbitz, Travelocity, Hotwire, Wotif, ebookers, CheapTickets, Expedia Group Media Solutions, Expedia Local Expert, and Expedia Cruises. Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals to whom we have not made prior contact. Our email domain The official website to find and apply for job openings at Expedia Group is . Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age. If you need assistance during the recruiting process due to a disability, please reach out to our Recruiting Accommodations Team through the Accommodation Request form . This form is used only by individuals with disabilities who require assistance or adjustments in applying and interviewing for a job. This form is not for inquiring about a position or the status of an application. Machine Learning Engineer II Are you interested in harnessing machine learning to power new personalisation experiences for travellers? Do you believe that modern online experiences should adapt to the needs and preferences of individual users? Are you fascinated by data, machine learning techniques, and software systems engineering? Do you love building creative, high-scale distributed systems using a diverse set of state of the art technologies? Our team wants to talk to you! What you'll do You work in a cross-functional team of ML Engineers and ML Scientists to operationalise ML models in production. You build scalable, high-performance systems for model development, data ingestion, feature engineering, inference, and monitoring/evaluation. You provide an accurate time estimates for your scope of work, turn it into code, and deliver on schedule. You advocate for quality coding. Write secure, stable, testable, maintainable code with minimal defects. Who you are 2+ years experience in ML and software engineering for Bachelor's, 1+ years for Master's Developed software in a team environment of at least 5 engineers (agile, version control, etc.). Built and maintained an ML model or pipeline in production environments in public/hybrid cloud infrastructure. Coding proficiency in at least one modern programming language (Java, Scala, Python etc.). Strong background in data structures and algorithms Experience working with at least one machine learning framework (TensorFlow, PyTorch, XGBoost, etc) Experience working with big data technologies (Spark, Kafka, Hive, Databricks, feature stores, etc). Experience working with containerisation, deployment and orchestration technologies (Docker, Kubernetes, Airflow, CI/CD pipelines, etc) Experience with automated testing, including unit, functional, and integration testing Excellent organizational and communication skills Bachelor's or master's degree in CS or similar About Expedia Group Expedia Group (NASDAQ: EXPE) powers travel for everyone, everywhere through our global platform. Driven by the core belief that travel is a force for good, we help people experience the world in new ways and build lasting connections. We provide industry-leading technology solutions to fuel partner growth and success, while facilitating memorable experiences for travelers. Expedia Group's family of brands includes: Brand Expedia, Expedia Partner Solutions, Vrbo, trivago, Orbitz, Travelocity, Hotwire, Wotif, ebookers, CheapTickets, Expedia Group Media Solutions, Expedia Local Expert, and Expedia Cruises. 2021 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: -50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals to whom we have not made prior contact. Our email domain The official website to find and apply for job openings at Expedia Group is . Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age. Growth Marketing Manager, SEO and Data Insights At Expedia Group, we're committed to providing an inclusive and accessible recruiting experience for candidates with disabilities. If you require an accommodation or adjustment for any part of the application or hiring process, please let us know by completing our Accommodation Request form.
Who you'll be working for: Situated in Yorkshire and Liverpool, Blacklight Software are a forward thinking Microsoft Gold Partner specialising in Microsoft solutions and bespoke software development. Our in-house team of Business Analysts, Project Managers and Software Developers are experts in creating and delivering software solutions for all of our customers. Offering a consultative and comprehensive approach, we provide our clients with the assurance they need to make us the digital partner of choice. What's in it for you: Blacklight Software are looking for a Software Developer Apprentice to join our development team. Initially you will be on a guided learning path to gain exposure to the technologies we use, especially around Microsoft's cloud stack (Azure, Office 365). Once completed you will join the development team and contribute to successful projects. In addition to project work, Blacklight Software will sponsor your continued learning on the Software Developer Apprenticeship L4. Working at Blacklight provides a lot of variety. Combined with regular knowledge sharing sessions, this is a great opportunity to learn. Duties: You will be responsible for: Coding, in a manner consistent with published coding standards, as part of a team to ensure all objectives are delivered to a high standard of quality and accuracy Working closely with other members of the team by understanding your own contribution to the team's goals, taking ownership of any potential problems to ensure they are resolved Designing technically and documenting aspects of the software project, including but not limited to database, business rules and presentation. Documentation must be produced to a high level of accuracy, be unambiguous, and kept up to date Identifying and highlighting where productivity gains can be achieved either through new techniques or adoption of programming tools. If appropriate design, develop and implement programming tools for internal use Helping the project managers identify and classify programming defects and then develop a solution for these defects that satisfies the specification Deploying updates onto target infrastructure, performing any necessary system tests and ensuring accuracy of deployment, either remotely or on a customer's site Performing other functions as required by line manager or Blacklight Software senior management Desired skills and qualities: Enthusiastic software developer with experience working within the .NET ecosystem during your L4 apprentice program Passionate about writing software and will be familiar with techniques used to delivering high quality, tested, scalable and maintainable code Adaptable. As a software agency we get requests to do weird and wonderful things with weird and wonderful technologies. This should excite you! You will have an appetite to learn and will share your findings Desired experience: Agile Methodologies TDD JavaScript Office 365 Azure Entry requirements: The learner must have completed a Level 3 Software Development Apprenticeship with QA or have an equivalent qualification with another training provider OR an A-level in Science, Technology, Engineering or Mathematics (STEM) subject and a successful completion of our aptitude test OR a BTEC Diploma in IT and a successful completion of our aptitude test OR 2 years' experience in a relevant role and successful completion of our aptitude test You may also have a combination of qualifications and experience which demonstrate the minimum foundation needed for the programme. In this instance you could still be considered for the programme. If you hold international equivalents of the above qualifications, at the time of your application you must be able to provide an official document that states how your international qualifications compare to the UK qualifications. For more information, please visit the UK ENIC website. Salary: Onboarding and Initial Training: 3 months (stage1) Starting Salary of £16k Further Training: 3 months (stage 2) Salary of £18k Gaining Experience: 12 months (stage 3) Salary of £20k End Position: Salary of £25k Working week: 37.5 hours per week Benefits: Arcade machine Training available material for MS certifications Free on-site parking Casual dress code Friendly atmosphere Coffee machine Free Tea/Coffee/fruit Flexible working hours can be arranged if required Future prospects: 90% of QA Apprentices secure permanent employment after finishing their apprenticeship. Additionally, there may be opportunities to undertake further apprenticeship training as many of our programs offer on-going development tracks. Important information: Our apprenticeships are the perfect way to gain new skills, earn while you learn, and launch yourself into an exciting future. With over 30,000 successful apprenticeship graduates, we're a top 50 training provider, dedicated to helping you succeed. Apply now!
Apr 15, 2024
Full time
Who you'll be working for: Situated in Yorkshire and Liverpool, Blacklight Software are a forward thinking Microsoft Gold Partner specialising in Microsoft solutions and bespoke software development. Our in-house team of Business Analysts, Project Managers and Software Developers are experts in creating and delivering software solutions for all of our customers. Offering a consultative and comprehensive approach, we provide our clients with the assurance they need to make us the digital partner of choice. What's in it for you: Blacklight Software are looking for a Software Developer Apprentice to join our development team. Initially you will be on a guided learning path to gain exposure to the technologies we use, especially around Microsoft's cloud stack (Azure, Office 365). Once completed you will join the development team and contribute to successful projects. In addition to project work, Blacklight Software will sponsor your continued learning on the Software Developer Apprenticeship L4. Working at Blacklight provides a lot of variety. Combined with regular knowledge sharing sessions, this is a great opportunity to learn. Duties: You will be responsible for: Coding, in a manner consistent with published coding standards, as part of a team to ensure all objectives are delivered to a high standard of quality and accuracy Working closely with other members of the team by understanding your own contribution to the team's goals, taking ownership of any potential problems to ensure they are resolved Designing technically and documenting aspects of the software project, including but not limited to database, business rules and presentation. Documentation must be produced to a high level of accuracy, be unambiguous, and kept up to date Identifying and highlighting where productivity gains can be achieved either through new techniques or adoption of programming tools. If appropriate design, develop and implement programming tools for internal use Helping the project managers identify and classify programming defects and then develop a solution for these defects that satisfies the specification Deploying updates onto target infrastructure, performing any necessary system tests and ensuring accuracy of deployment, either remotely or on a customer's site Performing other functions as required by line manager or Blacklight Software senior management Desired skills and qualities: Enthusiastic software developer with experience working within the .NET ecosystem during your L4 apprentice program Passionate about writing software and will be familiar with techniques used to delivering high quality, tested, scalable and maintainable code Adaptable. As a software agency we get requests to do weird and wonderful things with weird and wonderful technologies. This should excite you! You will have an appetite to learn and will share your findings Desired experience: Agile Methodologies TDD JavaScript Office 365 Azure Entry requirements: The learner must have completed a Level 3 Software Development Apprenticeship with QA or have an equivalent qualification with another training provider OR an A-level in Science, Technology, Engineering or Mathematics (STEM) subject and a successful completion of our aptitude test OR a BTEC Diploma in IT and a successful completion of our aptitude test OR 2 years' experience in a relevant role and successful completion of our aptitude test You may also have a combination of qualifications and experience which demonstrate the minimum foundation needed for the programme. In this instance you could still be considered for the programme. If you hold international equivalents of the above qualifications, at the time of your application you must be able to provide an official document that states how your international qualifications compare to the UK qualifications. For more information, please visit the UK ENIC website. Salary: Onboarding and Initial Training: 3 months (stage1) Starting Salary of £16k Further Training: 3 months (stage 2) Salary of £18k Gaining Experience: 12 months (stage 3) Salary of £20k End Position: Salary of £25k Working week: 37.5 hours per week Benefits: Arcade machine Training available material for MS certifications Free on-site parking Casual dress code Friendly atmosphere Coffee machine Free Tea/Coffee/fruit Flexible working hours can be arranged if required Future prospects: 90% of QA Apprentices secure permanent employment after finishing their apprenticeship. Additionally, there may be opportunities to undertake further apprenticeship training as many of our programs offer on-going development tracks. Important information: Our apprenticeships are the perfect way to gain new skills, earn while you learn, and launch yourself into an exciting future. With over 30,000 successful apprenticeship graduates, we're a top 50 training provider, dedicated to helping you succeed. Apply now!
We are recruiting a Systems Engineer to join the Application Engineering Team within the Engineering Department. Reporting to the Application Engineering Manager, the role of Systems Engineer has significant responsibility of developing complex and sophisticated engineering solutions using company products to meet customer needs. The role is responsible for executing all technical aspects of engineering projects including assessing customer requirements, developing customer hardware and software solutions, supporting customers, and writing technical documentation. The role requires an expert understanding of the functionality and use of the company's products and how to adapt them for new applications. Expertise / Technical Competence Technical Analysis : Able to investigate and understand complex technical issues and problems. Ensure issues are managed appropriately. Systems Design : Competent using system analysis tools (UML, Data Flow, FMEA, etc.) to analyse customer needs, system requirements, capability, and cost to determine project feasibility. Able to lead the integration of complex systems and development of system validation plans. Project Management: Experience in managing more than 3 concurrent projects; planning, tracking and manage development tasks. Work to deadlines and adapt plans as necessary to meet project objectives. Work collaboratively with customers and internal departments to successfully achieve outcomes and results. Health and Safety : Experience of performing system safety assessments and product safety certifications. Technical Documentation: Experience of writing technical documentation from non-technical customer input and writing documentation that allows non-technical people to understand the technical solution we are providing. Candidates should be competent with some of the following: Degree qualification in suitable discipline electronics or equivalent 2:1 or better Electronics Design A good knowledge of product design from feasibility to production, including digital and analogue circuits, microprocessor circuits and PCB design. Firmware Development A good knowledge of C, C++ programming languages and real time operating systems. Mechanical Design A good knowledge of mechanical design for products, including frames and housings, and for product testing equipment. Navigation Concepts and Kinematics Understanding of navigation concepts such as kinematic equations and hardware components used in navigation, such as IMUs and GPS/GNSS. Software Development Have a good knowledge of C++ and C# programming languages, WPF and XAML. Able to lead the development of Software applications and GUI covering the full software life cycle. IoT and SaaS Knowledge of application programming interfaces (APIs) that connect devices to the Internet, along with other key IoT technologies such as Big Data management tools, predictive analytics, AI and machine learning, the cloud, and radio-frequency identification (RFID). Product Compliance An expert knowledge of design for manufacture and product approval processes. Quality Assurance Development and implementation of quality assurance and regulatory compliance procedures for products. Please note: Only candidates with the relevant skills and experience will be contacted regarding this position. If you do not hear back from us within 5 days you have unfortunately been unsuccessful in your application for this position, however we may contact you in the future to discuss other opportunities. Please note: That no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and abilities to perform the duties of the job.
Apr 15, 2024
Full time
We are recruiting a Systems Engineer to join the Application Engineering Team within the Engineering Department. Reporting to the Application Engineering Manager, the role of Systems Engineer has significant responsibility of developing complex and sophisticated engineering solutions using company products to meet customer needs. The role is responsible for executing all technical aspects of engineering projects including assessing customer requirements, developing customer hardware and software solutions, supporting customers, and writing technical documentation. The role requires an expert understanding of the functionality and use of the company's products and how to adapt them for new applications. Expertise / Technical Competence Technical Analysis : Able to investigate and understand complex technical issues and problems. Ensure issues are managed appropriately. Systems Design : Competent using system analysis tools (UML, Data Flow, FMEA, etc.) to analyse customer needs, system requirements, capability, and cost to determine project feasibility. Able to lead the integration of complex systems and development of system validation plans. Project Management: Experience in managing more than 3 concurrent projects; planning, tracking and manage development tasks. Work to deadlines and adapt plans as necessary to meet project objectives. Work collaboratively with customers and internal departments to successfully achieve outcomes and results. Health and Safety : Experience of performing system safety assessments and product safety certifications. Technical Documentation: Experience of writing technical documentation from non-technical customer input and writing documentation that allows non-technical people to understand the technical solution we are providing. Candidates should be competent with some of the following: Degree qualification in suitable discipline electronics or equivalent 2:1 or better Electronics Design A good knowledge of product design from feasibility to production, including digital and analogue circuits, microprocessor circuits and PCB design. Firmware Development A good knowledge of C, C++ programming languages and real time operating systems. Mechanical Design A good knowledge of mechanical design for products, including frames and housings, and for product testing equipment. Navigation Concepts and Kinematics Understanding of navigation concepts such as kinematic equations and hardware components used in navigation, such as IMUs and GPS/GNSS. Software Development Have a good knowledge of C++ and C# programming languages, WPF and XAML. Able to lead the development of Software applications and GUI covering the full software life cycle. IoT and SaaS Knowledge of application programming interfaces (APIs) that connect devices to the Internet, along with other key IoT technologies such as Big Data management tools, predictive analytics, AI and machine learning, the cloud, and radio-frequency identification (RFID). Product Compliance An expert knowledge of design for manufacture and product approval processes. Quality Assurance Development and implementation of quality assurance and regulatory compliance procedures for products. Please note: Only candidates with the relevant skills and experience will be contacted regarding this position. If you do not hear back from us within 5 days you have unfortunately been unsuccessful in your application for this position, however we may contact you in the future to discuss other opportunities. Please note: That no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and abilities to perform the duties of the job.
Unlikely AI is a deep tech startup working to create a world where highly intelligent automated systems enable humanity to flourish and benefit us all. We are pioneering transformative technology aimed at making Artificial Intelligence more accurate, trustworthy and safe. Based in London, the company was founded by William Tunstall-Pedoe , best known for his key role in the creation of Alexa following the acquisition of his first start-up by Amazon in 2012. This is a key opportunity to join us as the second Frontend Engineer in the company, make a significant impact on the business and help define the future of our product. As a key member of the team, you will also play a vital role in leading the frontend stack and architecture. Your main responsibilities will be to take ownership of frontend development, optimise user experience and collaborate with cross-functional teams, including our Product Manager, UX designer and backend developers. Please see our Company Principles to understand the core things we value - in particular, we are looking for exceptional people who are willing to tackle some of the most difficult technical problems there are, in order to create something extraordinary with huge impact. Required: Exceptional coding ability Degree within a related field - Computer Science, Engineering, Physics, Maths or equivalent 4+ years of commercial experience in software engineering (Preferably Front End focused) Experience and ability coding in Typescript and React Desire to solve really difficult software engineering problems Understanding of modern best practices for agile software development Understanding of the architectural techniques needed to build massively scalable systems Desirable but not required: Ability or desire to learn and code in Java Experience with AWS and building scalable systems within it Understanding of state-of-the-art in Artificial Intelligence Understanding of modern machine learning techniques Location: We are currently operating a hybrid scheme with a small office near Holborn tube station available to anyone who wants to work there. We also have occasional team days where everyone meets face to face and days where people work heads down from home, communicating with colleagues using Slack and Zoom. Equal Opportunities: We are committed to having a truly diverse team where everyone is encouraged to be their authentic selves. We, therefore, do not discriminate in employment based on gender, race, religion, sexual orientation, national origin, political affiliation, disability, age, marital status, medical history, parental status or genetic information. Having a broad mix of people helps us to be the best we can.
Apr 14, 2024
Full time
Unlikely AI is a deep tech startup working to create a world where highly intelligent automated systems enable humanity to flourish and benefit us all. We are pioneering transformative technology aimed at making Artificial Intelligence more accurate, trustworthy and safe. Based in London, the company was founded by William Tunstall-Pedoe , best known for his key role in the creation of Alexa following the acquisition of his first start-up by Amazon in 2012. This is a key opportunity to join us as the second Frontend Engineer in the company, make a significant impact on the business and help define the future of our product. As a key member of the team, you will also play a vital role in leading the frontend stack and architecture. Your main responsibilities will be to take ownership of frontend development, optimise user experience and collaborate with cross-functional teams, including our Product Manager, UX designer and backend developers. Please see our Company Principles to understand the core things we value - in particular, we are looking for exceptional people who are willing to tackle some of the most difficult technical problems there are, in order to create something extraordinary with huge impact. Required: Exceptional coding ability Degree within a related field - Computer Science, Engineering, Physics, Maths or equivalent 4+ years of commercial experience in software engineering (Preferably Front End focused) Experience and ability coding in Typescript and React Desire to solve really difficult software engineering problems Understanding of modern best practices for agile software development Understanding of the architectural techniques needed to build massively scalable systems Desirable but not required: Ability or desire to learn and code in Java Experience with AWS and building scalable systems within it Understanding of state-of-the-art in Artificial Intelligence Understanding of modern machine learning techniques Location: We are currently operating a hybrid scheme with a small office near Holborn tube station available to anyone who wants to work there. We also have occasional team days where everyone meets face to face and days where people work heads down from home, communicating with colleagues using Slack and Zoom. Equal Opportunities: We are committed to having a truly diverse team where everyone is encouraged to be their authentic selves. We, therefore, do not discriminate in employment based on gender, race, religion, sexual orientation, national origin, political affiliation, disability, age, marital status, medical history, parental status or genetic information. Having a broad mix of people helps us to be the best we can.
We are looking for a Lead Machine Learning Engineer to join our new Knowledge Enrichment team at BenchSci. You will help design and implement ML-based approaches to analyse complex biomedical data such as experimental protocols and results from several heterogeneous sources, including both publicly available data and proprietary internal data, represented in unstructured text and knowledge graphs. The data will be leveraged in order to enrich BenchSci's knowledge graph through classification, discovery of high value implicit relationships, predicting novel insights/hypotheses. You will collaborate with your team members in applying state of the art ML and graph ML/data science algorithms to this data. You are comfortable working in a team that pushes the boundaries of what is possible with cutting edge ML/AI, challenges the status quo, is laser focused on value delivery in a fail-fast environment You Will: Analyse and manipulate a large, highly-connected biological knowledge graph constructed of data from multiple heterogeneous sources, in order to identify data enrichment opportunities and strategies. Work with data and knowledge engineering experts to design and develop knowledge enrichment approaches/strategies that can exploit data within our knowledge graph. Provide solutions related to classification, clustering, more-like-this-type querying, discovery of high value implicit relationships, and making inferences across the data that can reveal novel insights. Deliver robust, scalable and production-ready ML models, with a focus on optimising performance and efficiency. Architect and design ML solutions, from data collection and preparation, model selection, training, fine-tuning and evaluation, to deployment and monitoring. Collaborate with your teammates from other functions such as product management, project management and science, as well as other engineering disciplines. Sometimes provide technical leadership on Knowledge Enrichment projects that seek to use ML to enrich the data in BenchSci's Knowledge Graph. Work closely with other ML engineers to ensure alignment on technical solutioning and approaches. Liaise closely with stakeholders from other functions including product and science. Help ensure adoption of ML best practices and state of the art ML approaches at BenchSci. Participate in and sometimes lead various agile rituals and related practices. You Have: Minimum 5, ideally 8+ years of experience working as an ML engineer. Minimum 1, ideally 3+ years technical leadership experience, including leading 5-10 ICs technically on complex projects Degree, preferably PhD, in Software Engineering, Computer Science, or a similar area.A proven track record of delivering complex ML projects working alongside high performing ML engineers using agile software development. Demonstrable ML proficiency with a deep understanding of how to utilise state of the art NLP and ML techniques. Mastery of several ML frameworks and libraries, with the ability to architect complex ML systems from scratch. Extensive experience with Python and PyTorch. Track record of successfully delivering robust, scalable and production-ready ML models, with a focus on optimising performance and efficiency. Experience with the full ML development lifecycle from architecture and technical design, through data collection and preparation, model selection, training, fine-tuning and evaluation, to deployment and maintenance. Strong skills related to implementing solutions leveraging Large Language Models, as well as a deep understanding of how to implement solutions using Retrieval Augmented Generation (RAG) architecture. Expertise in graph machine learning (i.e. graph neural networks, graph data science) and practical applications thereof. This is complimented by your experience working with Knowledge Graphs, ideally biological, and a familiarity with biological ontologies. Experience with complex problem solving and an eye for details such as scalability and performance of a potential solution. Comprehensive knowledge of software engineering, programming fundamentals and industry experience using Python. Experience with data manipulation and processing, such as SQL, Cypher or Pandas. A can-do proactive and assertive attitude - your manager believes in freedom and responsibility and helping you own what you do; you will excel best if this environment suits you. You have experience working in cross-functional teams with product managers, project managers, engineers from other disciplines (e.g. data engineering).Ideally you have worked in the scientific/biological domain with scientists on your team. Outstanding verbal and written communication skills. Can clearly explain complex technical concepts/systems to engineering peers and non-engineering stakeholders. A growth mindset continuously seeking to stay up-to-date with cutting-edge advances in ML/AI, complimented by actively engaging with the ML/AI community. Benefits and Perks: An engaging remote-first culture A great compensation package that includes BenchSci equity options A robust vacation policy plus an additional vacation day every year Company closures for 14 more days throughout the year Flex time for sick days, personal days, and religious holidays Comprehensive health and dental benefits. Annual learning & development budget A one-time home office set-up budget to use upon joining BenchSci An annual lifestyle spending account allowance Generous parental leave benefits with a top-up plan or paid time off options The ability to save for your retirement coupled with a company match! About BenchSci: BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform. Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work, and top-ranked company on Glassdoor. Our Culture: BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning. We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement. You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture . Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives . Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to .
Apr 14, 2024
Full time
We are looking for a Lead Machine Learning Engineer to join our new Knowledge Enrichment team at BenchSci. You will help design and implement ML-based approaches to analyse complex biomedical data such as experimental protocols and results from several heterogeneous sources, including both publicly available data and proprietary internal data, represented in unstructured text and knowledge graphs. The data will be leveraged in order to enrich BenchSci's knowledge graph through classification, discovery of high value implicit relationships, predicting novel insights/hypotheses. You will collaborate with your team members in applying state of the art ML and graph ML/data science algorithms to this data. You are comfortable working in a team that pushes the boundaries of what is possible with cutting edge ML/AI, challenges the status quo, is laser focused on value delivery in a fail-fast environment You Will: Analyse and manipulate a large, highly-connected biological knowledge graph constructed of data from multiple heterogeneous sources, in order to identify data enrichment opportunities and strategies. Work with data and knowledge engineering experts to design and develop knowledge enrichment approaches/strategies that can exploit data within our knowledge graph. Provide solutions related to classification, clustering, more-like-this-type querying, discovery of high value implicit relationships, and making inferences across the data that can reveal novel insights. Deliver robust, scalable and production-ready ML models, with a focus on optimising performance and efficiency. Architect and design ML solutions, from data collection and preparation, model selection, training, fine-tuning and evaluation, to deployment and monitoring. Collaborate with your teammates from other functions such as product management, project management and science, as well as other engineering disciplines. Sometimes provide technical leadership on Knowledge Enrichment projects that seek to use ML to enrich the data in BenchSci's Knowledge Graph. Work closely with other ML engineers to ensure alignment on technical solutioning and approaches. Liaise closely with stakeholders from other functions including product and science. Help ensure adoption of ML best practices and state of the art ML approaches at BenchSci. Participate in and sometimes lead various agile rituals and related practices. You Have: Minimum 5, ideally 8+ years of experience working as an ML engineer. Minimum 1, ideally 3+ years technical leadership experience, including leading 5-10 ICs technically on complex projects Degree, preferably PhD, in Software Engineering, Computer Science, or a similar area.A proven track record of delivering complex ML projects working alongside high performing ML engineers using agile software development. Demonstrable ML proficiency with a deep understanding of how to utilise state of the art NLP and ML techniques. Mastery of several ML frameworks and libraries, with the ability to architect complex ML systems from scratch. Extensive experience with Python and PyTorch. Track record of successfully delivering robust, scalable and production-ready ML models, with a focus on optimising performance and efficiency. Experience with the full ML development lifecycle from architecture and technical design, through data collection and preparation, model selection, training, fine-tuning and evaluation, to deployment and maintenance. Strong skills related to implementing solutions leveraging Large Language Models, as well as a deep understanding of how to implement solutions using Retrieval Augmented Generation (RAG) architecture. Expertise in graph machine learning (i.e. graph neural networks, graph data science) and practical applications thereof. This is complimented by your experience working with Knowledge Graphs, ideally biological, and a familiarity with biological ontologies. Experience with complex problem solving and an eye for details such as scalability and performance of a potential solution. Comprehensive knowledge of software engineering, programming fundamentals and industry experience using Python. Experience with data manipulation and processing, such as SQL, Cypher or Pandas. A can-do proactive and assertive attitude - your manager believes in freedom and responsibility and helping you own what you do; you will excel best if this environment suits you. You have experience working in cross-functional teams with product managers, project managers, engineers from other disciplines (e.g. data engineering).Ideally you have worked in the scientific/biological domain with scientists on your team. Outstanding verbal and written communication skills. Can clearly explain complex technical concepts/systems to engineering peers and non-engineering stakeholders. A growth mindset continuously seeking to stay up-to-date with cutting-edge advances in ML/AI, complimented by actively engaging with the ML/AI community. Benefits and Perks: An engaging remote-first culture A great compensation package that includes BenchSci equity options A robust vacation policy plus an additional vacation day every year Company closures for 14 more days throughout the year Flex time for sick days, personal days, and religious holidays Comprehensive health and dental benefits. Annual learning & development budget A one-time home office set-up budget to use upon joining BenchSci An annual lifestyle spending account allowance Generous parental leave benefits with a top-up plan or paid time off options The ability to save for your retirement coupled with a company match! About BenchSci: BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform. Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work, and top-ranked company on Glassdoor. Our Culture: BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning. We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement. You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture . Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives . Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to .
Proximity Recruitment are searching for a Business Applications Developer (circa £35,000 + Bonus + Benefits) to join an innovation, technology-driven business in Northampton. Reporting into a talented and supportive Technical Projects Manager. The role is based in the office (full-time with potential option for 1 day working from home) so the successful candidate will need to be within commutable distance of Northampton. Responsibilities include: Building CRM 'Widgets' using HTML, CSS and JavaScript. Software Development on Zoho CRM in Zoho's native language 'Deluge' (prior experience with Deluge not necessary). Applying technical knowledge and understanding to automate a variety of business processes. Developing and maintaining multiple external API Integrations. Designing solutions within the current tech stack to achieve business requirements. Improving coding efficiency in existing CRM functionality. Working closely within the Technical Team (CRM, Machine Learning, Support) to deliver high quality and impactful projects to the wider business. Providing an internal 2nd level tier support for escalations on scripting issues. The successful candidate would be joining a fast-paced, high growth business in Northampton with huge FinTech projects underway which the successful Business Applications Developer will play to key role in delivering within. Please don't hesitate to apply for more details.
Apr 11, 2024
Full time
Proximity Recruitment are searching for a Business Applications Developer (circa £35,000 + Bonus + Benefits) to join an innovation, technology-driven business in Northampton. Reporting into a talented and supportive Technical Projects Manager. The role is based in the office (full-time with potential option for 1 day working from home) so the successful candidate will need to be within commutable distance of Northampton. Responsibilities include: Building CRM 'Widgets' using HTML, CSS and JavaScript. Software Development on Zoho CRM in Zoho's native language 'Deluge' (prior experience with Deluge not necessary). Applying technical knowledge and understanding to automate a variety of business processes. Developing and maintaining multiple external API Integrations. Designing solutions within the current tech stack to achieve business requirements. Improving coding efficiency in existing CRM functionality. Working closely within the Technical Team (CRM, Machine Learning, Support) to deliver high quality and impactful projects to the wider business. Providing an internal 2nd level tier support for escalations on scripting issues. The successful candidate would be joining a fast-paced, high growth business in Northampton with huge FinTech projects underway which the successful Business Applications Developer will play to key role in delivering within. Please don't hesitate to apply for more details.