Digital Research Infrastructure Engineer - Linux Specialist
PML operations grade 4 £30000 - £45000 DOE
Full Time
Open Ended Appointment
The Role
We have an exciting opportunity at PML for an individual with skills in Linux system administration to join the PML’s Digital Innovation and Marine Autonomy (DIMA) group. The role provides a business critical link between scientists, PML Applications (commercial work) and our IT Group to support the Linux computing infrastructure as it continues to evolve, underpinning PML science in multiple areas and across all levels. This ranges from data generation, (storage technologies and data management), processing and analysis (high performance computing and technologies such as JupyterHub), to making visual outputs for end users (web technologies and virtualisation) to increase the reach and impact of PML science.
About You
You will enjoy working with others to help deliver a modern and reliable digital infrastructure to underpin the world leading research carried out at PML. You will understand the importance of stability from existing infrastructure but will also be keen to learn and try new technologies. You will have experience of administering Linux systems, ideally using Ubuntu, and will be able to make use of scripts and common tools such as ansible to manage this. You will understand the importance of taking a proactive approach to identify and resolve and problems and will be able to make use of monitoring software (e.g., Nagios, Grafana) to accomplish this. You will understand best practices in cybersecurity and be able to apply these.
Skills Required
Linux systems administration and monitoring
Linux scripting (e.g., bash and Python)
Experience in management of data at the Terrabyte to Petabyte scale and storage technologies such as NFS and S3.
Cybersecurity (Understand and apply best practices)
Container technologies (Docker and Kubernetes)
High performance Computing (Slurm)
Virtualisation (VMWare)
Key Deliverables
Maintain our storage infrastructure to ensure data is distributed across servers based on existing capacity and projected changes in data volumes. This includes regular data moves and liaising with stakeholders to ensure data is backed up and archiving projects are completes as needed.
Monitor high performance computing infrastructure to identify and resolve problems either on their own or by working with IT (depending on the nature of the problem).
Act of a point of contact between scientists and IT to answer questions, help identify solutions and provide training.
Work with the data architect to maintain and develop web infrastructure used to provide existing and planned data search and visualisation services.
Manage the NEODAAS GPU cluster (MAGEO), including liaising with IT, vendors and system users.
About PML
As a marine-focused charity we develop and apply innovative science with a view to ensuring ocean sustainability. With over 40 years of experience, we offer evidence-based solutions to societal challenges. Our impact spans from research publications to informing policies and training future scientists. The science undertaken at PML contributes to UN Sustainable Development Goals by promoting healthy, productive and resilient oceans and seas.
To support PML’s science it operates in house Linux infrastructure used for processing satellite data, running models and making outputs accessible through web visualisation tools. This infrastructure includes a large amount of storage (6 PB), a High-Performance Computing cluster with over 1500 cores, a 40 GPU cluster (the MAssive GPU cluster for Earth Observation; MAGEO) and a virtual machine cluster. The role will be part of the Digital Innovation and Marine Autonomy (DIMA) group within PML. DIMA is a pioneering digital science group dedicated to advancing PML’s world-class and cutting-edge environmental research through the utilisation of state-of-the-art digital and autonomous technologies. The team comprises research software engineers, research infrastructure engineers, marine technologists and scientists who work on a variety of projects using autonomous vessels, satellite data, drones, Artificial Intelligence, High Performance Computing and data visualisation tools to help deliver PML’s goals. The team have an enthusiasm for solving problems through collaboration and shared learning.
Apr 11, 2024
Full time
Digital Research Infrastructure Engineer - Linux Specialist
PML operations grade 4 £30000 - £45000 DOE
Full Time
Open Ended Appointment
The Role
We have an exciting opportunity at PML for an individual with skills in Linux system administration to join the PML’s Digital Innovation and Marine Autonomy (DIMA) group. The role provides a business critical link between scientists, PML Applications (commercial work) and our IT Group to support the Linux computing infrastructure as it continues to evolve, underpinning PML science in multiple areas and across all levels. This ranges from data generation, (storage technologies and data management), processing and analysis (high performance computing and technologies such as JupyterHub), to making visual outputs for end users (web technologies and virtualisation) to increase the reach and impact of PML science.
About You
You will enjoy working with others to help deliver a modern and reliable digital infrastructure to underpin the world leading research carried out at PML. You will understand the importance of stability from existing infrastructure but will also be keen to learn and try new technologies. You will have experience of administering Linux systems, ideally using Ubuntu, and will be able to make use of scripts and common tools such as ansible to manage this. You will understand the importance of taking a proactive approach to identify and resolve and problems and will be able to make use of monitoring software (e.g., Nagios, Grafana) to accomplish this. You will understand best practices in cybersecurity and be able to apply these.
Skills Required
Linux systems administration and monitoring
Linux scripting (e.g., bash and Python)
Experience in management of data at the Terrabyte to Petabyte scale and storage technologies such as NFS and S3.
Cybersecurity (Understand and apply best practices)
Container technologies (Docker and Kubernetes)
High performance Computing (Slurm)
Virtualisation (VMWare)
Key Deliverables
Maintain our storage infrastructure to ensure data is distributed across servers based on existing capacity and projected changes in data volumes. This includes regular data moves and liaising with stakeholders to ensure data is backed up and archiving projects are completes as needed.
Monitor high performance computing infrastructure to identify and resolve problems either on their own or by working with IT (depending on the nature of the problem).
Act of a point of contact between scientists and IT to answer questions, help identify solutions and provide training.
Work with the data architect to maintain and develop web infrastructure used to provide existing and planned data search and visualisation services.
Manage the NEODAAS GPU cluster (MAGEO), including liaising with IT, vendors and system users.
About PML
As a marine-focused charity we develop and apply innovative science with a view to ensuring ocean sustainability. With over 40 years of experience, we offer evidence-based solutions to societal challenges. Our impact spans from research publications to informing policies and training future scientists. The science undertaken at PML contributes to UN Sustainable Development Goals by promoting healthy, productive and resilient oceans and seas.
To support PML’s science it operates in house Linux infrastructure used for processing satellite data, running models and making outputs accessible through web visualisation tools. This infrastructure includes a large amount of storage (6 PB), a High-Performance Computing cluster with over 1500 cores, a 40 GPU cluster (the MAssive GPU cluster for Earth Observation; MAGEO) and a virtual machine cluster. The role will be part of the Digital Innovation and Marine Autonomy (DIMA) group within PML. DIMA is a pioneering digital science group dedicated to advancing PML’s world-class and cutting-edge environmental research through the utilisation of state-of-the-art digital and autonomous technologies. The team comprises research software engineers, research infrastructure engineers, marine technologists and scientists who work on a variety of projects using autonomous vessels, satellite data, drones, Artificial Intelligence, High Performance Computing and data visualisation tools to help deliver PML’s goals. The team have an enthusiasm for solving problems through collaboration and shared learning.
Description
We are looking for a Data Engineer to help us build and maintain scalable and resilient pipelines that will ingest, process, and deliver the data needed for predictive and descriptive analytics. These data pipelines will further connect to machine learning pipelines to facilitate automatic retraining of our models.
We are a diverse group of data scientists, data engineers, software engineers, machine learning engineers from over 30 different countries. We are smart and fast moving, operating in small teams, with freedom for independent work and fast decision making.
To empower scientists and radically improve how science is published, evaluated and disseminated to researchers, innovators and the public, we have built our own state-of-the-art Artificial Intelligence Review Assistant (AIRA), backed by cutting-edge machine learning algorithms.
Key Responsibilities
Work in a team of machine learning engineers responsible for the productization of prototypes developed by data scientists.
Collaborate with data scientists, machine learning engineers, and other data engineers to design scalable, reliable, and maintainable ETL processes that ensure data scientists and automated ML processes have the necessary data available
Research and adopt the best DataOps & MLOps standards to design and develop scalable end-to-end data pipelines.
Identify opportunities for data process automation.
Establish and enforce best practices (e.g. in development, quality assurance, optimization, release, and monitoring).
Requirements
Degree in Computer Science or similar
Proven experience as a Data Engineer
Proficiency in Python
Experience with a Cloud Platform (e.g. Azure, AWS, GCP)
Experience with a workflow engine (e.g. Data Factory, Airflow)
Experience with SQL and NoSQL (e.g. MongoDB) databases
Experience with Hadoop & Spark
Great communication, teamwork, problem-solving, and organizational skills.
Nice To Have
Understanding of supervised and unsupervised machine learning algorithms
Stream-processing frameworks (e.g. Kafka)
Benefits
Competitive salary.
Participation in Frontiers annual bonus scheme
25 leave days + 4 well-being days (pro rata and expiring each year on 31st of December)
Great work-life balance.
Opportunity to work remotely
Fresh fruit, snacks and coffee.
English classes.
Team building/sport activities and monthly social events.
Lots of opportunities to work with exciting technologies and solve challenging problems
Who we are
Frontiers is an award-winning open science platform and leading open access scholarly publisher. We are one of the largest and most cited publishers globally. Our journals span science, health, humanities and social sciences, engineering, and sustainability and we continue to expand into new academic disciplines so more researchers can publish open access.
Dec 23, 2021
Full time
Description
We are looking for a Data Engineer to help us build and maintain scalable and resilient pipelines that will ingest, process, and deliver the data needed for predictive and descriptive analytics. These data pipelines will further connect to machine learning pipelines to facilitate automatic retraining of our models.
We are a diverse group of data scientists, data engineers, software engineers, machine learning engineers from over 30 different countries. We are smart and fast moving, operating in small teams, with freedom for independent work and fast decision making.
To empower scientists and radically improve how science is published, evaluated and disseminated to researchers, innovators and the public, we have built our own state-of-the-art Artificial Intelligence Review Assistant (AIRA), backed by cutting-edge machine learning algorithms.
Key Responsibilities
Work in a team of machine learning engineers responsible for the productization of prototypes developed by data scientists.
Collaborate with data scientists, machine learning engineers, and other data engineers to design scalable, reliable, and maintainable ETL processes that ensure data scientists and automated ML processes have the necessary data available
Research and adopt the best DataOps & MLOps standards to design and develop scalable end-to-end data pipelines.
Identify opportunities for data process automation.
Establish and enforce best practices (e.g. in development, quality assurance, optimization, release, and monitoring).
Requirements
Degree in Computer Science or similar
Proven experience as a Data Engineer
Proficiency in Python
Experience with a Cloud Platform (e.g. Azure, AWS, GCP)
Experience with a workflow engine (e.g. Data Factory, Airflow)
Experience with SQL and NoSQL (e.g. MongoDB) databases
Experience with Hadoop & Spark
Great communication, teamwork, problem-solving, and organizational skills.
Nice To Have
Understanding of supervised and unsupervised machine learning algorithms
Stream-processing frameworks (e.g. Kafka)
Benefits
Competitive salary.
Participation in Frontiers annual bonus scheme
25 leave days + 4 well-being days (pro rata and expiring each year on 31st of December)
Great work-life balance.
Opportunity to work remotely
Fresh fruit, snacks and coffee.
English classes.
Team building/sport activities and monthly social events.
Lots of opportunities to work with exciting technologies and solve challenging problems
Who we are
Frontiers is an award-winning open science platform and leading open access scholarly publisher. We are one of the largest and most cited publishers globally. Our journals span science, health, humanities and social sciences, engineering, and sustainability and we continue to expand into new academic disciplines so more researchers can publish open access.
Our client has an exciting opportunity for a Senior Data Scientist to join the team. Location: London, UK (Remote) must be based in the UK as will require occasional travel into the office Salary: £60k - £85k PA (dependant on experience) Job Type: Full-time, Permanent About The Company: Our client is a leading EdTech firm specialising in child digital safety technology for use in primary and secondary schools in the UK. They aim to provide sophisticated advanced child digital safety by monitoring students' online activity, filtering content and providing alerts to school faculty regarding student safety. Senior Data Scientist The Role: Our client is looking for a Data Scientist to join their Data and AI team working closely with partners across the business to tackle challenging problems and enhance company performance through algorithms, experimentation, and interactive dashboards. As part of the Data and AI team, you will set the standard for data-driven decision-making. You will also have the chance to contribute to innovative research studies and the development of production-grade algorithms benefiting students and educators. Senior Data Scientist Key Responsibilities: - Take the lead in designing, developing, and refining advanced machine learning models aimed at personalising learning experiences, forecasting student outcomes, and improving the delivery of educational content - Employ statistical analysis and data mining techniques to sift through extensive datasets, extracting actionable insights that drive product development, user engagement strategies, and enhancements to educational content - Collaborate closely with product managers, software engineers, and educational experts to seamlessly integrate data science solutions into the platform -Provide mentorship and guidance to junior data scientists and analysts, fostering a culture of learning and ongoing improvement within the team - Regularly interface with senior management or executive leadership on matters pertaining to data science - Stay abreast of the latest advancements in data science, machine learning, generative AI, and educational technology - Uphold ethical standards in data usage, comply with privacy laws and regulations, and implement robust data governance practices to safeguard sensitive information pertaining to students and educators Senior Data Scientist You: - 5+ years of data scientist experience - Experience within EdTech or other similar field - Degree or Higher Education qualification in Computer Science or other relevant field - Advanced proficiency in Python and SQL is required - Demonstrated leadership in steering data science initiatives towards impactful outcomes - Proficiency in both written and verbal communication - Strong expertise in traditional statistics and machine learning methodologies - Familiarity with git and cloud computing platforms (such as AWS, GCP, or Azure) is desirable - Previous experience in mentoring and guiding junior to mid-level data scientists would be advantageous Senior Data Scientist Benefits: - Comprehensive pension scheme - 26 days holiday including an extra day for your birthday plus the option to buy additional days - Company car and expensed travel - Flexible working - Regular company events - Death in service 4 times annual salary - Annual personal learning budget - 7 hours of paid volunteering work Application Process: You must have the right to work in the UK in order to be eligible to apply for this position. This position is predominantly remote based but the role will require occasional travel into the office. To submit your CV for this exciting Senior Data Scientist opportunity, please click Apply
Apr 18, 2024
Full time
Our client has an exciting opportunity for a Senior Data Scientist to join the team. Location: London, UK (Remote) must be based in the UK as will require occasional travel into the office Salary: £60k - £85k PA (dependant on experience) Job Type: Full-time, Permanent About The Company: Our client is a leading EdTech firm specialising in child digital safety technology for use in primary and secondary schools in the UK. They aim to provide sophisticated advanced child digital safety by monitoring students' online activity, filtering content and providing alerts to school faculty regarding student safety. Senior Data Scientist The Role: Our client is looking for a Data Scientist to join their Data and AI team working closely with partners across the business to tackle challenging problems and enhance company performance through algorithms, experimentation, and interactive dashboards. As part of the Data and AI team, you will set the standard for data-driven decision-making. You will also have the chance to contribute to innovative research studies and the development of production-grade algorithms benefiting students and educators. Senior Data Scientist Key Responsibilities: - Take the lead in designing, developing, and refining advanced machine learning models aimed at personalising learning experiences, forecasting student outcomes, and improving the delivery of educational content - Employ statistical analysis and data mining techniques to sift through extensive datasets, extracting actionable insights that drive product development, user engagement strategies, and enhancements to educational content - Collaborate closely with product managers, software engineers, and educational experts to seamlessly integrate data science solutions into the platform -Provide mentorship and guidance to junior data scientists and analysts, fostering a culture of learning and ongoing improvement within the team - Regularly interface with senior management or executive leadership on matters pertaining to data science - Stay abreast of the latest advancements in data science, machine learning, generative AI, and educational technology - Uphold ethical standards in data usage, comply with privacy laws and regulations, and implement robust data governance practices to safeguard sensitive information pertaining to students and educators Senior Data Scientist You: - 5+ years of data scientist experience - Experience within EdTech or other similar field - Degree or Higher Education qualification in Computer Science or other relevant field - Advanced proficiency in Python and SQL is required - Demonstrated leadership in steering data science initiatives towards impactful outcomes - Proficiency in both written and verbal communication - Strong expertise in traditional statistics and machine learning methodologies - Familiarity with git and cloud computing platforms (such as AWS, GCP, or Azure) is desirable - Previous experience in mentoring and guiding junior to mid-level data scientists would be advantageous Senior Data Scientist Benefits: - Comprehensive pension scheme - 26 days holiday including an extra day for your birthday plus the option to buy additional days - Company car and expensed travel - Flexible working - Regular company events - Death in service 4 times annual salary - Annual personal learning budget - 7 hours of paid volunteering work Application Process: You must have the right to work in the UK in order to be eligible to apply for this position. This position is predominantly remote based but the role will require occasional travel into the office. To submit your CV for this exciting Senior Data Scientist opportunity, please click Apply
People Source Consulting
Cambridge, Cambridgeshire
Role: Senior Research Software Development Engineer Location: 198 Cambridge Science Park, Cambridge PAYE contract - Required start date Monday 22 April 2024, Required end date: 30/06/2024, expectation to extend up to 18 months from the start date. Work schedule: full time, 40 hours a week This position is for a highly proficient software engineer who likes to work in a research setting, and who will have the opportunity to impact the progress of this exciting new storage system. You would be responsible for working on the software controlling research systems and that analyses results. Come and join an incredibly talented multi-disciplinary team of laser scientists, optical physicists, electronics engineers, and computer scientists working together in a tight-knit team to build this storage technology of the future. Required skills Excellent software design and implementation skills. Mastery of computer science fundamentals (e.g., concurrency, data-structures. Proficient at communication and team working in a multi-disciplinary and highly agile environment. Able to work independently with minimal supervisions towards only partly-defined tasks interacting with others in the team to clarify needs and iterate quickly. C/C++ native coding experience. Preferred skills Experience with python, e.g., numpy, etc. Knowledge of scientific computing, e.g. image processing techniques. Experience working with hardware (not everything can be debugged offline) Key Responsibilities: Designing, implementing, and testing new features in the codebase to support research experiments. Working closely with scientists to understand their needs and help smooth their day-to-day workflow. Maintaining and improving our C# codebase which controls our hardware systems. Diagnosing and troubleshooting interactions between the hardware and software. Maintaining and improving our python codebase for results analysis. Qualifications Bachelor's in Computer Science (Masters or PhD preferred), or related field. Experience working in a research setting (e.g., PostDoc, Research Assistant, or Research Software Engineer (RSE C# coding, at least 3 years of experience. Contract Details: PAYE Contract 18 Months Contract Hybrid (Cambridge) How To Apply Please send a CV to (url removed) People Source Consulting Ltd is acting as an Employment Business in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas.
Apr 18, 2024
Contractor
Role: Senior Research Software Development Engineer Location: 198 Cambridge Science Park, Cambridge PAYE contract - Required start date Monday 22 April 2024, Required end date: 30/06/2024, expectation to extend up to 18 months from the start date. Work schedule: full time, 40 hours a week This position is for a highly proficient software engineer who likes to work in a research setting, and who will have the opportunity to impact the progress of this exciting new storage system. You would be responsible for working on the software controlling research systems and that analyses results. Come and join an incredibly talented multi-disciplinary team of laser scientists, optical physicists, electronics engineers, and computer scientists working together in a tight-knit team to build this storage technology of the future. Required skills Excellent software design and implementation skills. Mastery of computer science fundamentals (e.g., concurrency, data-structures. Proficient at communication and team working in a multi-disciplinary and highly agile environment. Able to work independently with minimal supervisions towards only partly-defined tasks interacting with others in the team to clarify needs and iterate quickly. C/C++ native coding experience. Preferred skills Experience with python, e.g., numpy, etc. Knowledge of scientific computing, e.g. image processing techniques. Experience working with hardware (not everything can be debugged offline) Key Responsibilities: Designing, implementing, and testing new features in the codebase to support research experiments. Working closely with scientists to understand their needs and help smooth their day-to-day workflow. Maintaining and improving our C# codebase which controls our hardware systems. Diagnosing and troubleshooting interactions between the hardware and software. Maintaining and improving our python codebase for results analysis. Qualifications Bachelor's in Computer Science (Masters or PhD preferred), or related field. Experience working in a research setting (e.g., PostDoc, Research Assistant, or Research Software Engineer (RSE C# coding, at least 3 years of experience. Contract Details: PAYE Contract 18 Months Contract Hybrid (Cambridge) How To Apply Please send a CV to (url removed) People Source Consulting Ltd is acting as an Employment Business in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas.
Senior Data Scientist Location: Hybrid (London) Salary: 70,000 - 85,000 (Per Annum) About 83DATA are partnered with a , who are focused on developing AI Solutions. They work across many industries including Insurance, banking, telecoms and more. They are looking for an experienced Senior Data Scientist to join their growing data science team. The Senior Data Scientist will be responsible for leveraging their advanced data analysis and machine learning skills to solve complex business problems and drive data-driven decision-making within the organisation and those of their clients. Key Responsibilities: Conduct independent (and collaborative) research and development of data science and machine learning models; develop cutting-edge data science and machine learning models that drive business value, leveraging internal and external data sources. Skilled in, and continue to improve upon you knowledge of decision science, communicating data, domain modelling, predictive modelling, advanced analytics, MLOps, Research and AI Ethics with the willingness to up skill others in these competencies. Collaborate with cross-functional teams: work closely with cross-functional teams to apply data science and machine learning models to business problems, ensuring that models are integrated into products and services. Communicate results and impact: communicate results and impact to stakeholders, including technical and non-technical audiences. Mentor junior data scientists: mentor junior data scientists, fostering a culture of continuous improvement and innovation. Requirements: Fluency in Python with experience with at least one cloud provider ( preferably Azure ) Qualified experience in a related field, including, but not limited to, Data Science, Learning & Computer Science. 5+ years of experience in data science and machine learning, with a strong track record independent research and development a plus. Strong technical background, with expertise in a range of machine learning algorithms data science techniques. Strong experience in delivery across the lifecycle of machine learning products, adhering robust software engineering practices. Excellent communication, with the ability to communicate complex data science to technical and non-technical audiences. Strong collaboration skills, with the ability to work effectively with cross-functional teams. Desirable: Experience with GISc (raster & vector-based workflows), graph theory, time series modelling and XAI. Experience in retail, utilities (e.g. water or telco) or financial services industries.
Apr 18, 2024
Full time
Senior Data Scientist Location: Hybrid (London) Salary: 70,000 - 85,000 (Per Annum) About 83DATA are partnered with a , who are focused on developing AI Solutions. They work across many industries including Insurance, banking, telecoms and more. They are looking for an experienced Senior Data Scientist to join their growing data science team. The Senior Data Scientist will be responsible for leveraging their advanced data analysis and machine learning skills to solve complex business problems and drive data-driven decision-making within the organisation and those of their clients. Key Responsibilities: Conduct independent (and collaborative) research and development of data science and machine learning models; develop cutting-edge data science and machine learning models that drive business value, leveraging internal and external data sources. Skilled in, and continue to improve upon you knowledge of decision science, communicating data, domain modelling, predictive modelling, advanced analytics, MLOps, Research and AI Ethics with the willingness to up skill others in these competencies. Collaborate with cross-functional teams: work closely with cross-functional teams to apply data science and machine learning models to business problems, ensuring that models are integrated into products and services. Communicate results and impact: communicate results and impact to stakeholders, including technical and non-technical audiences. Mentor junior data scientists: mentor junior data scientists, fostering a culture of continuous improvement and innovation. Requirements: Fluency in Python with experience with at least one cloud provider ( preferably Azure ) Qualified experience in a related field, including, but not limited to, Data Science, Learning & Computer Science. 5+ years of experience in data science and machine learning, with a strong track record independent research and development a plus. Strong technical background, with expertise in a range of machine learning algorithms data science techniques. Strong experience in delivery across the lifecycle of machine learning products, adhering robust software engineering practices. Excellent communication, with the ability to communicate complex data science to technical and non-technical audiences. Strong collaboration skills, with the ability to work effectively with cross-functional teams. Desirable: Experience with GISc (raster & vector-based workflows), graph theory, time series modelling and XAI. Experience in retail, utilities (e.g. water or telco) or financial services industries.
Are you looking to work for a company doing something truly incredible, disruptive and exciting? Now is your chance! Intelligent Growth Solutions (IGS) was founded in 2013 and has brought together decades of farming and engineering experience to create a market-leading agritech business with a vision to revolutionise indoor growing. Over the last decade, IGS has built its reputation as a leading global provider of vertical farming technology, and is looking to recruit an experienced Data Engineer to join the team. The purpose of this role is to create and productionise data-centric applications and features, data pipelines and data analysis tools in an Azure cloud environment. You will also provide real time control and information for our market leading vertical farming solution. Responsibilities: Build new data-centric applications that are tested at multiple levels and ready for our Azure / kubernetes production environment Update and add new features to existing applications Work closely with data scientists to automate and productionise machine learning and other complex solutions to business problems Collaborate and communicate with other team members including product managers, crop scientists, hardware, software and IoT engineers Use, update and contribute to IGS standards and methods for modular, agile, continuous delivery, software development Build tools to capture data from multiple sources including operational products and develop appropriate pipelines for those data, leveraging appropriate technologies Develop simple customer facing reporting tools Participate in and promote a culture of learning and improvement including code reviews and tech talks The team: Part of the wider software team, Data Applications is a cross-functional team of data scientists, data engineers, site-reliability and frontend engineers, data visualisers and product managers, who use data to add intelligence to IGS systems. Our work includes conceptualisation of difficult problems, research projects and proofs of concept, creation of machine learning models and building production-ready features and products. The person: You are a python coder with an aptitude and taste for data. You know how to decide which tools and approaches to choose. You can assist the Data Applications team to gather data in the best way and you can build the right solutions to implement ML, DL and AI models at scale. You are committed to quality, testing and the importance of good engineering practice. You can work with a team of Data Engineers, Data Scientists, Data Visualisers and the wider business to deliver enterprise grade products for both internal and external use. You are at home in a business that leads the world in a field that combines plant science, hardware engineering and software. You are all that and you are a real person too, one who remembers that we all are, displaying kindness and patience. We have a list of skills and experiences that we need you to have. Essential (you need all of these): At least 2 years experience working with Python At least 6 months experience working with SQL Some exposure to AI, ML, DL or similar analysis tools Experience in building production-ready data solutions Experience working with git or other version control systems Excellent communication skills University degree in data/computer related subject or industry equivalent Highly valued (you should have at least three of these): Experience working in Linux environments Experience building AI, ML, DL or similar analysis tools Experience with microservice architecture Design and implementation skills for unit, integration and UI testing Experience with CI/CD pipelines Experience working with graph data Experience with Azure data offerings, especially Data Grid, Data Explorer and Kusto query language Experience working with Docker and Kubernetes High coding standards with skills in code review and static code analysis Desirable (you probably have at least one of these): Experience with other software or analytical languages; C#, Angular and Typescript would be especially useful Data visualisation skills Software design and architecture experience Experience with or exposure to Computer Vision tools Presentation and documentation skills Experience with PLC control systems Experience with cloud based (Azure) SaaS user interfaces (e.g. Angular) IGS is focused on delivering innovative solutions to enable our customers to sustainably grow high-quality crops all year round. This is made possible by a highly inclusive, empowered, constructive, challenging and team-driven culture. However, we are still a business and people like you deserve to be well rewarded for your passion, energy, commitment and effort. Your base salary is accompanied by core benefits including; 7 weeks' holiday, solid pension, opt in Private Health Care, company sick pay, Income Protection, Life Assurance x 4 of basic salary, Lifestyle & Recognition benefits and personal development/training funding. Please apply via our website.
Apr 18, 2024
Full time
Are you looking to work for a company doing something truly incredible, disruptive and exciting? Now is your chance! Intelligent Growth Solutions (IGS) was founded in 2013 and has brought together decades of farming and engineering experience to create a market-leading agritech business with a vision to revolutionise indoor growing. Over the last decade, IGS has built its reputation as a leading global provider of vertical farming technology, and is looking to recruit an experienced Data Engineer to join the team. The purpose of this role is to create and productionise data-centric applications and features, data pipelines and data analysis tools in an Azure cloud environment. You will also provide real time control and information for our market leading vertical farming solution. Responsibilities: Build new data-centric applications that are tested at multiple levels and ready for our Azure / kubernetes production environment Update and add new features to existing applications Work closely with data scientists to automate and productionise machine learning and other complex solutions to business problems Collaborate and communicate with other team members including product managers, crop scientists, hardware, software and IoT engineers Use, update and contribute to IGS standards and methods for modular, agile, continuous delivery, software development Build tools to capture data from multiple sources including operational products and develop appropriate pipelines for those data, leveraging appropriate technologies Develop simple customer facing reporting tools Participate in and promote a culture of learning and improvement including code reviews and tech talks The team: Part of the wider software team, Data Applications is a cross-functional team of data scientists, data engineers, site-reliability and frontend engineers, data visualisers and product managers, who use data to add intelligence to IGS systems. Our work includes conceptualisation of difficult problems, research projects and proofs of concept, creation of machine learning models and building production-ready features and products. The person: You are a python coder with an aptitude and taste for data. You know how to decide which tools and approaches to choose. You can assist the Data Applications team to gather data in the best way and you can build the right solutions to implement ML, DL and AI models at scale. You are committed to quality, testing and the importance of good engineering practice. You can work with a team of Data Engineers, Data Scientists, Data Visualisers and the wider business to deliver enterprise grade products for both internal and external use. You are at home in a business that leads the world in a field that combines plant science, hardware engineering and software. You are all that and you are a real person too, one who remembers that we all are, displaying kindness and patience. We have a list of skills and experiences that we need you to have. Essential (you need all of these): At least 2 years experience working with Python At least 6 months experience working with SQL Some exposure to AI, ML, DL or similar analysis tools Experience in building production-ready data solutions Experience working with git or other version control systems Excellent communication skills University degree in data/computer related subject or industry equivalent Highly valued (you should have at least three of these): Experience working in Linux environments Experience building AI, ML, DL or similar analysis tools Experience with microservice architecture Design and implementation skills for unit, integration and UI testing Experience with CI/CD pipelines Experience working with graph data Experience with Azure data offerings, especially Data Grid, Data Explorer and Kusto query language Experience working with Docker and Kubernetes High coding standards with skills in code review and static code analysis Desirable (you probably have at least one of these): Experience with other software or analytical languages; C#, Angular and Typescript would be especially useful Data visualisation skills Software design and architecture experience Experience with or exposure to Computer Vision tools Presentation and documentation skills Experience with PLC control systems Experience with cloud based (Azure) SaaS user interfaces (e.g. Angular) IGS is focused on delivering innovative solutions to enable our customers to sustainably grow high-quality crops all year round. This is made possible by a highly inclusive, empowered, constructive, challenging and team-driven culture. However, we are still a business and people like you deserve to be well rewarded for your passion, energy, commitment and effort. Your base salary is accompanied by core benefits including; 7 weeks' holiday, solid pension, opt in Private Health Care, company sick pay, Income Protection, Life Assurance x 4 of basic salary, Lifestyle & Recognition benefits and personal development/training funding. Please apply via our website.
Our client is the world leader in high performance software and hardware products and are looking for an excellent Computer Vision Scientist to join the research team. You will play a key role in projects using a variety of approaches. You will have significant opportunities to drive technical direction, working within a strong team to build great products. Key Responsibilities Researching and engineering algorithms of humans and objects from a variety of sensing methods Experimental design, presentation and reviewing experimental results Algorithm and system performance characterisation Collaborate with software development and product stakeholders to deliver software products built upon our technologies Required Skills, Knowledge and Expertise Computer vision to post-graduate level Excellent communication and presentation skills Strong software engineering in C++, Python Desirable Skills Multiple view geometry, camera calibration and structure-from-motion/SLAM Experience with robotics, high-performance real-time computer vision applications Motion capture and human modelling Experience of using deep learning for computer vision problems Experience of other sensing modalities such as IMU
Apr 17, 2024
Full time
Our client is the world leader in high performance software and hardware products and are looking for an excellent Computer Vision Scientist to join the research team. You will play a key role in projects using a variety of approaches. You will have significant opportunities to drive technical direction, working within a strong team to build great products. Key Responsibilities Researching and engineering algorithms of humans and objects from a variety of sensing methods Experimental design, presentation and reviewing experimental results Algorithm and system performance characterisation Collaborate with software development and product stakeholders to deliver software products built upon our technologies Required Skills, Knowledge and Expertise Computer vision to post-graduate level Excellent communication and presentation skills Strong software engineering in C++, Python Desirable Skills Multiple view geometry, camera calibration and structure-from-motion/SLAM Experience with robotics, high-performance real-time computer vision applications Motion capture and human modelling Experience of using deep learning for computer vision problems Experience of other sensing modalities such as IMU
Machine Learning Engineer Analytics Centre of Excellence (ACOE) London/Hybrid The Analytics Centre of Excellence (ACOE) is positively impacting patient lives through the anticipation and delivery of Decision Intelligence solutions that increase clinical trial success, shorten drug development timelines, and reduce costs in bringing new drugs to market, getting much-needed drugs to patients faster through successful clinical trial delivery. Our vision at the ACOE is that every decision our users and clients make in R&D is made through Decision Intelligence, allowing speedy access to safe, novel, and effective treatments for all patients. ACOE Product Portfolio: In trial strategy, we are using Machine Learning (ML) to recommend countries and clinical trial sites and accurately predict clinical study timelines. We are deploying ML at clinical trial sites to read Electronic Medical Records data and find undiagnosed patients that are otherwise challenging to identify. We are optimizing our patient outreach targeting and are predicting participant dropout. In addition, problems in patient recruitment are being solved with ML. Further upstream in R&D we are predicting clinical trial outcomes, drug-protein interactions, repurposing drugs and even leveraging ML to optimize molecules. Job Overview Develop fit for purpose AIML models/algorithms/processes to address pharma/healthcare applications and innovative products upon completion of prototypes followed by the building of production grade algorithms/automation engines for client deliverables. Test for viability to deliver final products to clients. Able to bring newly researched ideas to reality quickly and on a large scale. Design, build, test, and deliver products from post-prototype to client delivery. Essential Functions Facilitates the transformation of machine learning research domain expertise in the areas of human data into viable prototypes Facilitates the development of features of models on individual projects and/or products with guidance and support from others Develops understanding of the creation of new algorithms through working alongside other Machine Learning Engineers and Machine Learning Research Scientists Facilitates the building and training of new production grade algorithms that can learn from complex, high dimensionality data to uncover patterns from which machine learning models and applications can be developed Uses a variety of techniques to improve the performance of individual natural language processing and/or machine learning algorithms Facilitates the testing and validation of models to determine viability for deployment with guidance and support from others Consult for internal and external clients, implement solution development and innovation to meet clients' needs, facilitate client AI project technical delivery What we're looking for Master's Degree Master's Degree in Machine Learning, Statistics, Computer Science, Physics, Math, or related field Several years' experience working on creating machine learning algorithms Programming experience using one or more of the following: Python, Java, C++, R, Go, Kubernetes, Deep learning or equivalent. Python (Scikit-learn, Tensor Flow, Pandas, NumPy, SciPy) SQL, Linux/mac command-line tools Experience with building, testing, measuring, and deploying machine learning models in production Familiarity with ML algorithms (classification, regression) and processes (how to build models, assess their goodness of fit, etc.) Familiarity with agile software development lifecycle (SCRUM, Kanban, etc.) Previous experience of owning, maintaining, and enhancing software data products Attention to clarity of code, ease of development, and correctness of implementations Good knowledge of software development best practices including testing, continuous integration, and DevOps tools Preferred Requirements: Knowledge and experience of Hierarchical Modelling Experience with clinical domain and with regulated data Used Deep Neural Network libraries such as Tensor Flow, especially with Bayesian Neural Networks Knowledge of cloud systems such as AWS, Azure, GCP and containerization such as Docker Experience working with large, real-world datasets Demonstrated in-depth understanding of product development lifecycle Demonstrated aptitude for and interest in peer mentorship Experience deploying code into production through CI/CD tools Knowledge of biostatistics/life sciences/healthcare technology Knowledge of UX principles Experience working in the Hadoop ecosystem Why Join? Those who join us become part of a recognized global leader still willing to challenge the status quo to improve patient care. You will have access to the most cutting-edge technology, the largest data sets, the best analytics tools and, in our opinion, some of the finest minds in the Healthcare industry. You can drive your career at IQVIA and choose the path that best defines your development and success. With exposure across diverse geographies, capabilities, and vast therapeutic and information and technology areas, you can seek opportunities to change and grow without boundaries. Regardless of your role, we invite you to reimagine healthcare with us. You will have the opportunity to play an important part in helping our clients drive healthcare forward and ultimately improve human health outcomes. It's an exciting time to join and reimagine what's possible in healthcare. IQVIA is a strong advocate of diversity and inclusion in the workplace. We believe that a work environment that embraces diversity will give us a competitive advantage in the global marketplace and enhance our success. We believe that an inclusive and respectful workplace culture fosters a sense of belonging among our employees, builds a stronger team, and allows individual employees the opportunity to maximize their personal potential. We thank all applicants for their interest; however only those selected for interview will be contacted. IQVIA is a leading global provider of advanced analytics, technology solutions and clinical research services to the life sciences industry. We believe in pushing the boundaries of human science and data science to make the biggest impact possible - to help our customers create a healthier world. Learn more at
Apr 17, 2024
Full time
Machine Learning Engineer Analytics Centre of Excellence (ACOE) London/Hybrid The Analytics Centre of Excellence (ACOE) is positively impacting patient lives through the anticipation and delivery of Decision Intelligence solutions that increase clinical trial success, shorten drug development timelines, and reduce costs in bringing new drugs to market, getting much-needed drugs to patients faster through successful clinical trial delivery. Our vision at the ACOE is that every decision our users and clients make in R&D is made through Decision Intelligence, allowing speedy access to safe, novel, and effective treatments for all patients. ACOE Product Portfolio: In trial strategy, we are using Machine Learning (ML) to recommend countries and clinical trial sites and accurately predict clinical study timelines. We are deploying ML at clinical trial sites to read Electronic Medical Records data and find undiagnosed patients that are otherwise challenging to identify. We are optimizing our patient outreach targeting and are predicting participant dropout. In addition, problems in patient recruitment are being solved with ML. Further upstream in R&D we are predicting clinical trial outcomes, drug-protein interactions, repurposing drugs and even leveraging ML to optimize molecules. Job Overview Develop fit for purpose AIML models/algorithms/processes to address pharma/healthcare applications and innovative products upon completion of prototypes followed by the building of production grade algorithms/automation engines for client deliverables. Test for viability to deliver final products to clients. Able to bring newly researched ideas to reality quickly and on a large scale. Design, build, test, and deliver products from post-prototype to client delivery. Essential Functions Facilitates the transformation of machine learning research domain expertise in the areas of human data into viable prototypes Facilitates the development of features of models on individual projects and/or products with guidance and support from others Develops understanding of the creation of new algorithms through working alongside other Machine Learning Engineers and Machine Learning Research Scientists Facilitates the building and training of new production grade algorithms that can learn from complex, high dimensionality data to uncover patterns from which machine learning models and applications can be developed Uses a variety of techniques to improve the performance of individual natural language processing and/or machine learning algorithms Facilitates the testing and validation of models to determine viability for deployment with guidance and support from others Consult for internal and external clients, implement solution development and innovation to meet clients' needs, facilitate client AI project technical delivery What we're looking for Master's Degree Master's Degree in Machine Learning, Statistics, Computer Science, Physics, Math, or related field Several years' experience working on creating machine learning algorithms Programming experience using one or more of the following: Python, Java, C++, R, Go, Kubernetes, Deep learning or equivalent. Python (Scikit-learn, Tensor Flow, Pandas, NumPy, SciPy) SQL, Linux/mac command-line tools Experience with building, testing, measuring, and deploying machine learning models in production Familiarity with ML algorithms (classification, regression) and processes (how to build models, assess their goodness of fit, etc.) Familiarity with agile software development lifecycle (SCRUM, Kanban, etc.) Previous experience of owning, maintaining, and enhancing software data products Attention to clarity of code, ease of development, and correctness of implementations Good knowledge of software development best practices including testing, continuous integration, and DevOps tools Preferred Requirements: Knowledge and experience of Hierarchical Modelling Experience with clinical domain and with regulated data Used Deep Neural Network libraries such as Tensor Flow, especially with Bayesian Neural Networks Knowledge of cloud systems such as AWS, Azure, GCP and containerization such as Docker Experience working with large, real-world datasets Demonstrated in-depth understanding of product development lifecycle Demonstrated aptitude for and interest in peer mentorship Experience deploying code into production through CI/CD tools Knowledge of biostatistics/life sciences/healthcare technology Knowledge of UX principles Experience working in the Hadoop ecosystem Why Join? Those who join us become part of a recognized global leader still willing to challenge the status quo to improve patient care. You will have access to the most cutting-edge technology, the largest data sets, the best analytics tools and, in our opinion, some of the finest minds in the Healthcare industry. You can drive your career at IQVIA and choose the path that best defines your development and success. With exposure across diverse geographies, capabilities, and vast therapeutic and information and technology areas, you can seek opportunities to change and grow without boundaries. Regardless of your role, we invite you to reimagine healthcare with us. You will have the opportunity to play an important part in helping our clients drive healthcare forward and ultimately improve human health outcomes. It's an exciting time to join and reimagine what's possible in healthcare. IQVIA is a strong advocate of diversity and inclusion in the workplace. We believe that a work environment that embraces diversity will give us a competitive advantage in the global marketplace and enhance our success. We believe that an inclusive and respectful workplace culture fosters a sense of belonging among our employees, builds a stronger team, and allows individual employees the opportunity to maximize their personal potential. We thank all applicants for their interest; however only those selected for interview will be contacted. IQVIA is a leading global provider of advanced analytics, technology solutions and clinical research services to the life sciences industry. We believe in pushing the boundaries of human science and data science to make the biggest impact possible - to help our customers create a healthier world. Learn more at
Job Title: Desktop Support Intern Location: Cambridge, UK. SLB Cambridge Research (SCR) is part of SLB's global network of research and engineering centres. SCR is a dynamic, multidisciplinary environment with state-of-the-art research and computing facilities. We work on applied research projects in the physical sciences to meet the current and future challenges of the industry. SLB Cambridge Research is a distinctive marquee-like structure dominating the High Cross site on the western outskirts of Cambridge, England. This spectacular building was completed in 1985 and the smaller second phase was opened in 1992. It has recently been classified as a Grade II listed building. Altogether, there are more than 930 m2; of laboratory space and offices for more than 100 scientists, technicians and domain experts. About SLB: We are a global technology company, driving energy innovation for a balanced planet. At SLB we create amazing technology that unlocks access to energy for the benefit of all. That is our purpose. As innovators, that's been our mission for 100 years. We are facing the world's greatest balancing act - how to simultaneously reduce emissions and meet the world's growing energy demands. We're working on that answer. Every day, a step closer. Our collective future depends on decarbonizing the fossil fuel industry, while innovating a new energy landscape. It's what drives us. Ensuring progress for people and the planet, on the journey to net zero and beyond. For a balanced planet. Job Summary: You will work with the global IT organisation to provide desktop support and IT service management to the scientific community in Cambridge. You will be exposed to a wide range of tools and business processes. This is a great opportunity to learn about IT service delivery and management. Essential Responsibilities and Duties: Troubleshoot and resolve PC incidents Hardware & software maintenance and support Asset management Coordinate with Break/Fix vendor for hardware repair Assist and work closely with IT security issue and virus eradication effort Comply with IT standard processes and procedures Active participation in regular staff meetings as coordinated by Service Delivery manager Maintain working area to professional standards Comply with Schlumberger QHSE and IT security policies Assist in running local and virtual conferences in our state-of-the-art conferencing facilities. Qualification: Studying towards a Bachelors or Masters in Computer Science or related field. Competencies: A familiarity with PC hardware and Microsoft software Great customer focus Show initiative to identify and solve interesting technical problems and share the results with the wider organisation The ability to communicate technical issues to a wide audience SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or other characteristics protected by law.
Apr 17, 2024
Full time
Job Title: Desktop Support Intern Location: Cambridge, UK. SLB Cambridge Research (SCR) is part of SLB's global network of research and engineering centres. SCR is a dynamic, multidisciplinary environment with state-of-the-art research and computing facilities. We work on applied research projects in the physical sciences to meet the current and future challenges of the industry. SLB Cambridge Research is a distinctive marquee-like structure dominating the High Cross site on the western outskirts of Cambridge, England. This spectacular building was completed in 1985 and the smaller second phase was opened in 1992. It has recently been classified as a Grade II listed building. Altogether, there are more than 930 m2; of laboratory space and offices for more than 100 scientists, technicians and domain experts. About SLB: We are a global technology company, driving energy innovation for a balanced planet. At SLB we create amazing technology that unlocks access to energy for the benefit of all. That is our purpose. As innovators, that's been our mission for 100 years. We are facing the world's greatest balancing act - how to simultaneously reduce emissions and meet the world's growing energy demands. We're working on that answer. Every day, a step closer. Our collective future depends on decarbonizing the fossil fuel industry, while innovating a new energy landscape. It's what drives us. Ensuring progress for people and the planet, on the journey to net zero and beyond. For a balanced planet. Job Summary: You will work with the global IT organisation to provide desktop support and IT service management to the scientific community in Cambridge. You will be exposed to a wide range of tools and business processes. This is a great opportunity to learn about IT service delivery and management. Essential Responsibilities and Duties: Troubleshoot and resolve PC incidents Hardware & software maintenance and support Asset management Coordinate with Break/Fix vendor for hardware repair Assist and work closely with IT security issue and virus eradication effort Comply with IT standard processes and procedures Active participation in regular staff meetings as coordinated by Service Delivery manager Maintain working area to professional standards Comply with Schlumberger QHSE and IT security policies Assist in running local and virtual conferences in our state-of-the-art conferencing facilities. Qualification: Studying towards a Bachelors or Masters in Computer Science or related field. Competencies: A familiarity with PC hardware and Microsoft software Great customer focus Show initiative to identify and solve interesting technical problems and share the results with the wider organisation The ability to communicate technical issues to a wide audience SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or other characteristics protected by law.
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
The Alan Turing Institute Named in honour of Alan Turing, the Institute is a place for inspiring, exciting work and we need passionate, sharp, and innovative people who want to use their skills to contribute to our mission to make great leaps in data science and AI research to change the world for the better. BACKGROUND The Defence & Security programme at the Turing is looking to expand a newly formed team of data scientists working on real-world problems in the radio frequency domain aligned with defending and securing the UK. As a team, we bring together cutting-edge research and motivating mission challenges, using our data science, software engineering and stakeholder management skills to create next generation capabilities for our partners. Your role will be to work both independently and collaboratively with the Private Investigators (PIs), and other researchers in the Defence Artificial Intelligence Research (DARe) centre in domains as diverse as: future sensing, space systems, human-machine teaming, synthetic environments, and edge AI. CANDIDATE PROFILE The ideal candidate is inquisitive, enjoys solving complex, challenging problems, and thinks creatively to find non-obvious solutions. We are a cross-disciplinary team and encourage applications from both generalists and specialists including those who self-identify as software engineers, computer scientists, machine learning practitioners, physicists, mathematicians, statisticians or more widely as data scientists or data engineers. DUTIES AND AREAS OF RESPONSIBILITY Engaging with scientists from the EME's Defence and Security partners Appling ML, Data Science, and radio frequency to problems faced by EME partners, both as part of unclassified EME projects and on partner systems The application of modern AI techniques to the RF domain Developing novel multi-modal AI approaches to the fusion of data from multiple sensors Developing new techniques for the detection, recognition, identification, localisation, and exploitation (DRILE) of radio frequency signals. Person Specification PhD or equivalent professional experience in a field with significant use of both computer programming and advanced statistical or numerical methods Practical experience or strong theoretical knowledge and academic experience with ML and adjacent topics or demonstrated experience developing algorithms for transmitting, processing and analysing radio frequency signals Fluency in one or more modern programming languages such as Python Experience leading a research project with a focus on AI or Radar or Communications and Networks. Please see our portal for a full breakdown of the Job Description. Terms and Conditions This full-time post is offered on a fixed term basis for 3 years. The annual salary is £51,476 to £58,000 plus excellent benefits, including flexible working and family friendly policies, The Alan Turing Institute is based at the British Library, in the heart of London's Knowledge Quarter. We expect staff to come to our office at least 4 days per month. Some roles may require more days in the office; the hiring manager will be able to confirm this during the interview. Application procedure Please see our jobs portal for full details on how to apply and the interview process. Equality Diversity and Inclusion We are committed to making sure our recruitment process is accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at to find out how we can assist you.
Apr 16, 2024
Full time
The Alan Turing Institute Named in honour of Alan Turing, the Institute is a place for inspiring, exciting work and we need passionate, sharp, and innovative people who want to use their skills to contribute to our mission to make great leaps in data science and AI research to change the world for the better. BACKGROUND The Defence & Security programme at the Turing is looking to expand a newly formed team of data scientists working on real-world problems in the radio frequency domain aligned with defending and securing the UK. As a team, we bring together cutting-edge research and motivating mission challenges, using our data science, software engineering and stakeholder management skills to create next generation capabilities for our partners. Your role will be to work both independently and collaboratively with the Private Investigators (PIs), and other researchers in the Defence Artificial Intelligence Research (DARe) centre in domains as diverse as: future sensing, space systems, human-machine teaming, synthetic environments, and edge AI. CANDIDATE PROFILE The ideal candidate is inquisitive, enjoys solving complex, challenging problems, and thinks creatively to find non-obvious solutions. We are a cross-disciplinary team and encourage applications from both generalists and specialists including those who self-identify as software engineers, computer scientists, machine learning practitioners, physicists, mathematicians, statisticians or more widely as data scientists or data engineers. DUTIES AND AREAS OF RESPONSIBILITY Engaging with scientists from the EME's Defence and Security partners Appling ML, Data Science, and radio frequency to problems faced by EME partners, both as part of unclassified EME projects and on partner systems The application of modern AI techniques to the RF domain Developing novel multi-modal AI approaches to the fusion of data from multiple sensors Developing new techniques for the detection, recognition, identification, localisation, and exploitation (DRILE) of radio frequency signals. Person Specification PhD or equivalent professional experience in a field with significant use of both computer programming and advanced statistical or numerical methods Practical experience or strong theoretical knowledge and academic experience with ML and adjacent topics or demonstrated experience developing algorithms for transmitting, processing and analysing radio frequency signals Fluency in one or more modern programming languages such as Python Experience leading a research project with a focus on AI or Radar or Communications and Networks. Please see our portal for a full breakdown of the Job Description. Terms and Conditions This full-time post is offered on a fixed term basis for 3 years. The annual salary is £51,476 to £58,000 plus excellent benefits, including flexible working and family friendly policies, The Alan Turing Institute is based at the British Library, in the heart of London's Knowledge Quarter. We expect staff to come to our office at least 4 days per month. Some roles may require more days in the office; the hiring manager will be able to confirm this during the interview. Application procedure Please see our jobs portal for full details on how to apply and the interview process. Equality Diversity and Inclusion We are committed to making sure our recruitment process is accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at to find out how we can assist you.
Software Engineer, Python. Python, JavaScript, Linux/Windows, Mathematical Modelling, AI Salary circa £55,000 - £60,000 plus hybrid working and benefits A great opportunity to work within a dynamic R&D software team and to develop a range of digital technology solutions to solve real world scenarios in a military / MoD setting. This small and talented team comprise of software engineers, data scientists, research engineers and mathematic programmers developing a range of solutions that support and safeguard British military personnel.Using mathematical modelling and data analytics, the systems build communication and distribution links between multiple MoD forces enabling fast response, situation awareness training, geographical placement of services and equipment and emergency response deployment. We are looking for a mid to senior level software developer keen to progress to team lead in the future (2-3 years). As such leadership aptitude and a mindset of supportive coach and mentor is the ideal profile. Scope of the role The work is varied and will include: Software development using Python & JavaScript across Linux & windows. Problem lead solutions engineering. Identifying the best fit technology to solve the problem; i.e. C, C++, C#, Haskell, Java, Python etc Developing and running mathematical models/algorithms to assist in data driven decision making. Conducting background research for new techniques, e.g. AI & ML. Developing innovative analysis methods. Ongoing professional self-development. Working conditions This work will be hybrid office based in Alton, Hampshire (1-3 days a week) with occasional travel to customer site. On completion of probation, hybrid flexibility will increase. Salary & Benefits Approx. £55,000 - £60,000 plus benefits, training and investment in personal development. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Apr 16, 2024
Full time
Software Engineer, Python. Python, JavaScript, Linux/Windows, Mathematical Modelling, AI Salary circa £55,000 - £60,000 plus hybrid working and benefits A great opportunity to work within a dynamic R&D software team and to develop a range of digital technology solutions to solve real world scenarios in a military / MoD setting. This small and talented team comprise of software engineers, data scientists, research engineers and mathematic programmers developing a range of solutions that support and safeguard British military personnel.Using mathematical modelling and data analytics, the systems build communication and distribution links between multiple MoD forces enabling fast response, situation awareness training, geographical placement of services and equipment and emergency response deployment. We are looking for a mid to senior level software developer keen to progress to team lead in the future (2-3 years). As such leadership aptitude and a mindset of supportive coach and mentor is the ideal profile. Scope of the role The work is varied and will include: Software development using Python & JavaScript across Linux & windows. Problem lead solutions engineering. Identifying the best fit technology to solve the problem; i.e. C, C++, C#, Haskell, Java, Python etc Developing and running mathematical models/algorithms to assist in data driven decision making. Conducting background research for new techniques, e.g. AI & ML. Developing innovative analysis methods. Ongoing professional self-development. Working conditions This work will be hybrid office based in Alton, Hampshire (1-3 days a week) with occasional travel to customer site. On completion of probation, hybrid flexibility will increase. Salary & Benefits Approx. £55,000 - £60,000 plus benefits, training and investment in personal development. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
JOB AD: We are currently looking for a Research Scientist - Natural Language Processing (NLP) to join a London Research Center. In this role, you will have the chance to work on projects that impacting millions of people by analyzing and understanding textual content through innovating and applying advanced NLP, machine learning and deep learning technologies. Key Responsibilities: Carry out state-of-the-art (SOTA) NLP research, such as knowledge graph, key information extraction at different granular levels from texts, textual content understanding and text generation etc. Apply SOTA NLP techniques to practical scenarios such as search and recommendation, while preserving user privacy Literature review and investigate the SOTA NLP technologies regarding specific projects Dataset acquisition Build models with novelty, applicability, and practicality in mind. Model evaluation and iteration Navigate ambiguity that might occur in the projects or relationship with stakeholders Building a demonstration system to showcase the value of strength Write documentation, research papers, or patent application (whichever applicable) Position Requirements: PhD or equivalent Master's Degree plus 4+ years in computing-related fields (such as Computer Science, Engineering, Mathematics, Physics) Publication track records in top tier Computing/NLP/AI/ML conferences or journals Passionate about data and machine learning Programming experience in Python, R, C, or C++ Software engineering background, e.g., you have a Computer Science background, or software engineering working experience Able to work independently and as a team, and drive a project from its inception to the finish line on time Preferred: NLP background with deep learning modelling and library use (e.g. Pytorch, Tensorflow) experience Publications at top-tier conferences such as ACL/EMNLP/NAACL/AAAI/ICLR etc. and journals such as TACL/CL etc.
Apr 16, 2024
Full time
JOB AD: We are currently looking for a Research Scientist - Natural Language Processing (NLP) to join a London Research Center. In this role, you will have the chance to work on projects that impacting millions of people by analyzing and understanding textual content through innovating and applying advanced NLP, machine learning and deep learning technologies. Key Responsibilities: Carry out state-of-the-art (SOTA) NLP research, such as knowledge graph, key information extraction at different granular levels from texts, textual content understanding and text generation etc. Apply SOTA NLP techniques to practical scenarios such as search and recommendation, while preserving user privacy Literature review and investigate the SOTA NLP technologies regarding specific projects Dataset acquisition Build models with novelty, applicability, and practicality in mind. Model evaluation and iteration Navigate ambiguity that might occur in the projects or relationship with stakeholders Building a demonstration system to showcase the value of strength Write documentation, research papers, or patent application (whichever applicable) Position Requirements: PhD or equivalent Master's Degree plus 4+ years in computing-related fields (such as Computer Science, Engineering, Mathematics, Physics) Publication track records in top tier Computing/NLP/AI/ML conferences or journals Passionate about data and machine learning Programming experience in Python, R, C, or C++ Software engineering background, e.g., you have a Computer Science background, or software engineering working experience Able to work independently and as a team, and drive a project from its inception to the finish line on time Preferred: NLP background with deep learning modelling and library use (e.g. Pytorch, Tensorflow) experience Publications at top-tier conferences such as ACL/EMNLP/NAACL/AAAI/ICLR etc. and journals such as TACL/CL etc.
Software Engineer, Python. Python, JavaScript, Linux/Windows, Mathematical Modelling, AI Salary circa 55,000 - 60,000 plus hybrid working and benefits A great opportunity to work within a dynamic R&D software team and to develop a range of digital technology solutions to solve real world scenarios in a military / MoD setting. This small and talented team comprise of software engineers, data scientists, research engineers and mathematic programmers developing a range of solutions that support and safeguard British military personnel. Using mathematical modelling and data analytics, the systems build communication and distribution links between multiple MoD forces enabling fast response, situation awareness training, geographical placement of services and equipment and emergency response deployment. We are looking for a mid to senior level software developer keen to progress to team lead in the future (2-3 years). As such leadership aptitude and a mindset of supportive coach and mentor is the ideal profile. Scope of the role The work is varied and will include: Software development using Python & JavaScript across Linux & windows. Problem lead solutions engineering. Identifying the best fit technology to solve the problem; i.e. C, C++, C#, Haskell, Java, Python etc Developing and running mathematical models/algorithms to assist in data driven decision making. Conducting background research for new techniques, e.g. AI & ML. Developing innovative analysis methods. Ongoing professional self-development. Working conditions This work will be hybrid office based in Alton, Hampshire (1-3 days a week) with occasional travel to customer site. On completion of probation, hybrid flexibility will increase. Salary & Benefits Approx. 55,000 - 60,000 plus benefits, training and investment in personal development. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Apr 16, 2024
Full time
Software Engineer, Python. Python, JavaScript, Linux/Windows, Mathematical Modelling, AI Salary circa 55,000 - 60,000 plus hybrid working and benefits A great opportunity to work within a dynamic R&D software team and to develop a range of digital technology solutions to solve real world scenarios in a military / MoD setting. This small and talented team comprise of software engineers, data scientists, research engineers and mathematic programmers developing a range of solutions that support and safeguard British military personnel. Using mathematical modelling and data analytics, the systems build communication and distribution links between multiple MoD forces enabling fast response, situation awareness training, geographical placement of services and equipment and emergency response deployment. We are looking for a mid to senior level software developer keen to progress to team lead in the future (2-3 years). As such leadership aptitude and a mindset of supportive coach and mentor is the ideal profile. Scope of the role The work is varied and will include: Software development using Python & JavaScript across Linux & windows. Problem lead solutions engineering. Identifying the best fit technology to solve the problem; i.e. C, C++, C#, Haskell, Java, Python etc Developing and running mathematical models/algorithms to assist in data driven decision making. Conducting background research for new techniques, e.g. AI & ML. Developing innovative analysis methods. Ongoing professional self-development. Working conditions This work will be hybrid office based in Alton, Hampshire (1-3 days a week) with occasional travel to customer site. On completion of probation, hybrid flexibility will increase. Salary & Benefits Approx. 55,000 - 60,000 plus benefits, training and investment in personal development. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Spectrum IT Recruitment (South) Ltd
Alton, Hampshire
Software Engineer, Python. Python, JavaScript, Linux/Windows, Mathematical Modelling, AI Salary circa £55,000 - £60,000 plus hybrid working and benefits A great opportunity to work within a dynamic R&D software team and to develop a range of digital technology solutions to solve real world scenarios in a military/MoD setting. This small and talented team comprise of software engineers, data scientists, research engineers and mathematic programmers developing a range of solutions that support and safeguard British military personnel. Using mathematical modelling and data analytics, the systems build communication and distribution links between multiple MoD forces enabling fast response, situation awareness training, geographical placement of services and equipment and emergency response deployment. We are looking for a mid to senior level software developer keen to progress to team lead in the future (2-3 years). As such leadership aptitude and a mindset of supportive coach and mentor is the ideal profile. Scope of the role The work is varied and will include: Software development using Python & JavaScript across Linux & windows. Problem lead solutions engineering. Identifying the best fit technology to solve the problem; ie C, C++, C#, Haskell, Java, Python etc Developing and running mathematical models/algorithms to assist in data driven decision making. Conducting background research for new techniques, eg AI & ML. Developing innovative analysis methods. Ongoing professional self-development. Working conditions This work will be hybrid office based in Alton, Hampshire (1-3 days a week) with occasional travel to customer site. On completion of probation, hybrid flexibility will increase. Salary & Benefits Approx. £55,000 - £60,000 plus benefits, training and investment in personal development. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Apr 16, 2024
Full time
Software Engineer, Python. Python, JavaScript, Linux/Windows, Mathematical Modelling, AI Salary circa £55,000 - £60,000 plus hybrid working and benefits A great opportunity to work within a dynamic R&D software team and to develop a range of digital technology solutions to solve real world scenarios in a military/MoD setting. This small and talented team comprise of software engineers, data scientists, research engineers and mathematic programmers developing a range of solutions that support and safeguard British military personnel. Using mathematical modelling and data analytics, the systems build communication and distribution links between multiple MoD forces enabling fast response, situation awareness training, geographical placement of services and equipment and emergency response deployment. We are looking for a mid to senior level software developer keen to progress to team lead in the future (2-3 years). As such leadership aptitude and a mindset of supportive coach and mentor is the ideal profile. Scope of the role The work is varied and will include: Software development using Python & JavaScript across Linux & windows. Problem lead solutions engineering. Identifying the best fit technology to solve the problem; ie C, C++, C#, Haskell, Java, Python etc Developing and running mathematical models/algorithms to assist in data driven decision making. Conducting background research for new techniques, eg AI & ML. Developing innovative analysis methods. Ongoing professional self-development. Working conditions This work will be hybrid office based in Alton, Hampshire (1-3 days a week) with occasional travel to customer site. On completion of probation, hybrid flexibility will increase. Salary & Benefits Approx. £55,000 - £60,000 plus benefits, training and investment in personal development. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Full Stack Developer / Engineer (Python JavaScript) WFH / Cambridge to £60k Are you a bright, ambitious Full Stack Developer with a strong record of academic achievement looking for an opportunity to progress your career? You could be joining a tech start-up that are producing a cutting edge Digital Twins and Information Management platform for the construction industry and highways agencies. As a Full Stack Developer you'll join a small team, collaborating with the CEO, CTO, Chief Scientist and other world leading researchers to design and develop new features and enhancements on the core platform. You'll be using a range a technology, primarily Python and JavaScript but will have access to a range of others and will be encouraged to learn and pick new things up, using the best tool for the job. Location / WFH: You can work from home or go into the office in Cambridge as often as desired, it would be great to meet up with the team once a month. About you: You have achieved a 2.1 or above in Computer Science from an Oxbridge / Russel Group and have commercial experience either as internships or postgraduate You have programming experience with Python and / or JavaScript You have an understanding of Data Lineage, APIs, GraphDB You have a strong knowledge of software engineering best practices, Data Structures, Design Patterns, Algorithms You're collaborative, keen to learn What's in it for you: As a Full Stack Developer / Engineer you will earn a competitive package: Salary to £60k 25 days holiday + your birthday off Generous stock option scheme Personal development plan with ongoing training and development opportunities Apply now to find out more about this Full Stack Developer / Engineer (Graduate Python JavaScript) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
Apr 16, 2024
Full time
Full Stack Developer / Engineer (Python JavaScript) WFH / Cambridge to £60k Are you a bright, ambitious Full Stack Developer with a strong record of academic achievement looking for an opportunity to progress your career? You could be joining a tech start-up that are producing a cutting edge Digital Twins and Information Management platform for the construction industry and highways agencies. As a Full Stack Developer you'll join a small team, collaborating with the CEO, CTO, Chief Scientist and other world leading researchers to design and develop new features and enhancements on the core platform. You'll be using a range a technology, primarily Python and JavaScript but will have access to a range of others and will be encouraged to learn and pick new things up, using the best tool for the job. Location / WFH: You can work from home or go into the office in Cambridge as often as desired, it would be great to meet up with the team once a month. About you: You have achieved a 2.1 or above in Computer Science from an Oxbridge / Russel Group and have commercial experience either as internships or postgraduate You have programming experience with Python and / or JavaScript You have an understanding of Data Lineage, APIs, GraphDB You have a strong knowledge of software engineering best practices, Data Structures, Design Patterns, Algorithms You're collaborative, keen to learn What's in it for you: As a Full Stack Developer / Engineer you will earn a competitive package: Salary to £60k 25 days holiday + your birthday off Generous stock option scheme Personal development plan with ongoing training and development opportunities Apply now to find out more about this Full Stack Developer / Engineer (Graduate Python JavaScript) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
At Kpler, we simplify global trade information and provide valuable insights. Founded in 2014, our goal is to help over 10,000 organisations by offering the best intelligence on commodities, energy, and maritime through a single platform. Working at Kpler means you'll be a key player in turning complex data into strategic resources for our clients. Your role involves creating data-driven stories that empower clients in their industries. Your expertise helps Kpler navigate markets successfully. Your journey starts here, where innovation meets impact. Join our team of 500+ talented people from 35+ countries worldwide. Purpose of the role: Maritime domain awareness involves the effective fusion of fragmented pieces of information that compose the complex maritime landscape. Vessel tracking data and trading history, satellite imagery, sanction lists and OSINT comprise some of the data sources which, when combined efficiently, provide an understanding of events that take place at ports and in open seas. Rapidly evolving global geopolitical developments and tensions greatly affect trading, disturbing the supply chain and altering the patterns of shipping activity. As a senior data scientist with Kpler's risk and compliance team you will develop algorithms that will detect deviations from normal maritime activity and will discriminate trivial abnormalities from those that imply deceptive shipping practices. This venture requires dealing with high volumes of dispersed and often highly imbalanced data. Some of the exciting projects you will work on include: Driving the design, rapid experimentation, development, testing and deployment of models for maritime anomaly detection and risk assessment. Optimising and fine-tuning models in production, overseeing the continuous monitoring of deployed models, effectively handling model and data drifts in a timely manner. Building robust pipelines for integrating data from diverse sources, including big geospatial data, mobility data, noisy sensor data, tabular data. Researching and identifying methods, data sources, features that will drive business impact in the scope of maritime risk and compliance. As a senior data scientist, you will: Devise efficient solutions to tackle ML/Big Data challenges using relevant and up-to-date methods and technologies. Work across the stack to deliver new features end to end. Ensure optimal, cost-effective design decisions that improve performance and overcome scalability limits. Own meaningful parts of our service, demonstrating the ability to lead projects independently, have an impact, and grow with the company. Identify opportunities for novel projects and liaise with product teams to advance ideas into value-adding features. Actively share knowledge and document insights, effectively communicate complex concepts and analyses to technical and non-technical audiences, aiming to support continuous team improvement and drive collaboration. Act as a mentor for our junior data scientists, helping to accelerate their growth; you will act as the Tech Lead on some projects. Be part of a vibrant Machine Learning community in Kpler, tackling the whole spectrum of ML problems. Our Machine Learning tech stack includes: Python, ML libraries (TensorFlow, pytorch, scikit-learn, transformers, XGBoost, ResNet), geospatial libraries (shapely, geopandas, rasterio), CV libraries (scikit-image, OpenCV, yolo, Detectron2). AWS, Postgres, Apache Airflow, Apache kafka, Apache Spark. Mandatory requirements: You have at least 5 years of experience in DS role, deploying models into production; You have proven experience delivering end-to-end ML solutions that produced business value. You have proven experience with big data technologies, specifically Spark and Kafka You are proficient in Python. You have expert knowledge of at least one cloud computing platform (preferably aws). You are fluent in English. Nice to haves but not mandatory: You have expertise on applications with focus on geospatial data and mobility analytics (highly desirable). You have a Ph. D. in a quantitative field (computer science, mathematics, physics, engineering ). You are familiar with the shipping industry and/or commodity trading. You are comfortable with software engineering best practices. You value code simplicity, performance and attention to detail. You have experience working in an international environment. We're a dynamic company dedicated to nurturing connections and innovating solutions that tackle market challenges head-on. If you're driven by customer satisfaction and thrive on turning ideas into reality, then you've found your ideal destination. Are you prepared to embark on this exciting journey with us? we make things happen We act decisively and with purpose, and we like to go the extra mile. we build together We foster relationships and develop creative solutions to address market challenges with cool features and solutions. hey, how can i help you today? Being accessible and supportive to colleagues and clients with a friendly approach is essential. Our People Pledge Don't meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don't match 100% of the job requirements. Don't let the confidence gap stand in your way, we'd love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team. Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. By applying, I confirm that I have read and accept the Staff Privacy Notice
Apr 16, 2024
Full time
At Kpler, we simplify global trade information and provide valuable insights. Founded in 2014, our goal is to help over 10,000 organisations by offering the best intelligence on commodities, energy, and maritime through a single platform. Working at Kpler means you'll be a key player in turning complex data into strategic resources for our clients. Your role involves creating data-driven stories that empower clients in their industries. Your expertise helps Kpler navigate markets successfully. Your journey starts here, where innovation meets impact. Join our team of 500+ talented people from 35+ countries worldwide. Purpose of the role: Maritime domain awareness involves the effective fusion of fragmented pieces of information that compose the complex maritime landscape. Vessel tracking data and trading history, satellite imagery, sanction lists and OSINT comprise some of the data sources which, when combined efficiently, provide an understanding of events that take place at ports and in open seas. Rapidly evolving global geopolitical developments and tensions greatly affect trading, disturbing the supply chain and altering the patterns of shipping activity. As a senior data scientist with Kpler's risk and compliance team you will develop algorithms that will detect deviations from normal maritime activity and will discriminate trivial abnormalities from those that imply deceptive shipping practices. This venture requires dealing with high volumes of dispersed and often highly imbalanced data. Some of the exciting projects you will work on include: Driving the design, rapid experimentation, development, testing and deployment of models for maritime anomaly detection and risk assessment. Optimising and fine-tuning models in production, overseeing the continuous monitoring of deployed models, effectively handling model and data drifts in a timely manner. Building robust pipelines for integrating data from diverse sources, including big geospatial data, mobility data, noisy sensor data, tabular data. Researching and identifying methods, data sources, features that will drive business impact in the scope of maritime risk and compliance. As a senior data scientist, you will: Devise efficient solutions to tackle ML/Big Data challenges using relevant and up-to-date methods and technologies. Work across the stack to deliver new features end to end. Ensure optimal, cost-effective design decisions that improve performance and overcome scalability limits. Own meaningful parts of our service, demonstrating the ability to lead projects independently, have an impact, and grow with the company. Identify opportunities for novel projects and liaise with product teams to advance ideas into value-adding features. Actively share knowledge and document insights, effectively communicate complex concepts and analyses to technical and non-technical audiences, aiming to support continuous team improvement and drive collaboration. Act as a mentor for our junior data scientists, helping to accelerate their growth; you will act as the Tech Lead on some projects. Be part of a vibrant Machine Learning community in Kpler, tackling the whole spectrum of ML problems. Our Machine Learning tech stack includes: Python, ML libraries (TensorFlow, pytorch, scikit-learn, transformers, XGBoost, ResNet), geospatial libraries (shapely, geopandas, rasterio), CV libraries (scikit-image, OpenCV, yolo, Detectron2). AWS, Postgres, Apache Airflow, Apache kafka, Apache Spark. Mandatory requirements: You have at least 5 years of experience in DS role, deploying models into production; You have proven experience delivering end-to-end ML solutions that produced business value. You have proven experience with big data technologies, specifically Spark and Kafka You are proficient in Python. You have expert knowledge of at least one cloud computing platform (preferably aws). You are fluent in English. Nice to haves but not mandatory: You have expertise on applications with focus on geospatial data and mobility analytics (highly desirable). You have a Ph. D. in a quantitative field (computer science, mathematics, physics, engineering ). You are familiar with the shipping industry and/or commodity trading. You are comfortable with software engineering best practices. You value code simplicity, performance and attention to detail. You have experience working in an international environment. We're a dynamic company dedicated to nurturing connections and innovating solutions that tackle market challenges head-on. If you're driven by customer satisfaction and thrive on turning ideas into reality, then you've found your ideal destination. Are you prepared to embark on this exciting journey with us? we make things happen We act decisively and with purpose, and we like to go the extra mile. we build together We foster relationships and develop creative solutions to address market challenges with cool features and solutions. hey, how can i help you today? Being accessible and supportive to colleagues and clients with a friendly approach is essential. Our People Pledge Don't meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don't match 100% of the job requirements. Don't let the confidence gap stand in your way, we'd love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team. Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. By applying, I confirm that I have read and accept the Staff Privacy Notice
Senior Data Scientist - Trading Department: Technology Employment Type: Permanent - Full Time Location: UK - London Description At Field, we're accelerating the build out of renewable energy infrastructure to reach net zero. We are starting with battery storage, storing up energy for when it's needed most to create a more reliable, flexible and greener grid. At Field, we will show that batteries are a valuable part of our energy infrastructure - now, not in some distant future. We have ambitious plans to become Europe's defining clean energy player over the next few years, expanding beyond batteries into new asset types. Overview At Field, we are developing our automated energy trading platform, Gaia. Before the end of this year we will deploy Gaia to trade in real-time for our physical assets in the UK power markets. You will be part of a small, fast moving team of certified power traders, wearing multiple hats, and you will have a tangible impact shaping how we increase revenue. You will be working with people across the organisation: platform engineers, data scientists, the executive team, commercial operations, and more. This is an operational role and the candidate will need to be flexible regarding their working hours, and be in a position to participate in an on-call rotation as part of a small team. The market is 24 hours a day, 365 days a year, and you will be one of the key responders for any aspect of trading that requires humans in the loop, such as responding to unplanned or emergency scenarios. This is an exciting time to join Field, right at the core of the business. In the next few years our team's responsibility will expand rapidly as we deploy Gaia for dozens of assets in the UK and across Europe. Key Responsibilities Develop algorithms to trade, forecast and co-optimise revenues across multiple markets Be part of the team that manages live trading and physical assets, and provide 24/7 support Deploy and maintain real-time, mission-critical software Develop the ability to inform and/or override algorithmic decisions in volatile market conditions Present trading results to senior management Identify gaps in our trading strategy from backtests and competitor analysis, and improve and iterate on our trading strategies Drive the development of the product roadmap Skills, Knowledge and Expertise A bit about you You're up for an operational role and are keen to get stuck into trading in the power markets. You are happy to be flexible with working hours and are able to be on-call You're a clear, impactful communicator , able to articulate complex concepts to technical and non-technical audiences You thrive in autonomous work environmentswith a positive and proactive approach You're excited to learn - you enjoy learning about new and complex topics and are able to pick them up quickly We are interested in candidates from a variety of backgrounds such as Trading, Data Science, Data Analytics, Operations Research or related fields, with a minimum of 3 years experience. Essential Skills Demonstrable experience drawing conclusions from data to make impactful decisions Expert in Python development for data manipulation, analysis, visualisation and more Ability to communicate complex topics and results effectively at all levels Strong applied probability and statistics knowledge Extremely Desirable Skills In addition to the core skills above, we are looking to hire candidates who have expertise in a subset of the following: UK or European power markets Algorithmic trading Advanced numerical methods such as time-series analysis, machine learning, or linear programming Developing, deploying, and maintaining mission-critical software Working in an operational environment Benefits We're offering a competitive compensation package, including participation in our employee share scheme which rewards all employees for the growth of the business. Other benefits include Enhanced parental leave, for all new parents: 6 months fully paid primary carer leave 3 months fully paid secondary carer leave 10 days fully paid leave for fertility treatment Up to 10% company wide bonus based on company performance Hybrid working (blend of home and office working to suit individual needs) Nest pension (8% combined contributions) on qualifying earnings 25 days holiday + bank holidays £2,000 annual learning & development budget to spend on whatever best supports your growth 1 month a year 'work from anywhere in the world' policy Spill: our mental health benefit allowing every Fielder access to equal and unrestricted therapy and resources Green leave: paid time off to do something good for the environment Fun co-working office space in Shoreditch, London Dog friendly office (with some regular furry friends already in the team) Free team lunch once a week Regular team socials Birthday carbon offset: a gift from Field to the world to celebrate your birthday & many more on the way!
Apr 16, 2024
Full time
Senior Data Scientist - Trading Department: Technology Employment Type: Permanent - Full Time Location: UK - London Description At Field, we're accelerating the build out of renewable energy infrastructure to reach net zero. We are starting with battery storage, storing up energy for when it's needed most to create a more reliable, flexible and greener grid. At Field, we will show that batteries are a valuable part of our energy infrastructure - now, not in some distant future. We have ambitious plans to become Europe's defining clean energy player over the next few years, expanding beyond batteries into new asset types. Overview At Field, we are developing our automated energy trading platform, Gaia. Before the end of this year we will deploy Gaia to trade in real-time for our physical assets in the UK power markets. You will be part of a small, fast moving team of certified power traders, wearing multiple hats, and you will have a tangible impact shaping how we increase revenue. You will be working with people across the organisation: platform engineers, data scientists, the executive team, commercial operations, and more. This is an operational role and the candidate will need to be flexible regarding their working hours, and be in a position to participate in an on-call rotation as part of a small team. The market is 24 hours a day, 365 days a year, and you will be one of the key responders for any aspect of trading that requires humans in the loop, such as responding to unplanned or emergency scenarios. This is an exciting time to join Field, right at the core of the business. In the next few years our team's responsibility will expand rapidly as we deploy Gaia for dozens of assets in the UK and across Europe. Key Responsibilities Develop algorithms to trade, forecast and co-optimise revenues across multiple markets Be part of the team that manages live trading and physical assets, and provide 24/7 support Deploy and maintain real-time, mission-critical software Develop the ability to inform and/or override algorithmic decisions in volatile market conditions Present trading results to senior management Identify gaps in our trading strategy from backtests and competitor analysis, and improve and iterate on our trading strategies Drive the development of the product roadmap Skills, Knowledge and Expertise A bit about you You're up for an operational role and are keen to get stuck into trading in the power markets. You are happy to be flexible with working hours and are able to be on-call You're a clear, impactful communicator , able to articulate complex concepts to technical and non-technical audiences You thrive in autonomous work environmentswith a positive and proactive approach You're excited to learn - you enjoy learning about new and complex topics and are able to pick them up quickly We are interested in candidates from a variety of backgrounds such as Trading, Data Science, Data Analytics, Operations Research or related fields, with a minimum of 3 years experience. Essential Skills Demonstrable experience drawing conclusions from data to make impactful decisions Expert in Python development for data manipulation, analysis, visualisation and more Ability to communicate complex topics and results effectively at all levels Strong applied probability and statistics knowledge Extremely Desirable Skills In addition to the core skills above, we are looking to hire candidates who have expertise in a subset of the following: UK or European power markets Algorithmic trading Advanced numerical methods such as time-series analysis, machine learning, or linear programming Developing, deploying, and maintaining mission-critical software Working in an operational environment Benefits We're offering a competitive compensation package, including participation in our employee share scheme which rewards all employees for the growth of the business. Other benefits include Enhanced parental leave, for all new parents: 6 months fully paid primary carer leave 3 months fully paid secondary carer leave 10 days fully paid leave for fertility treatment Up to 10% company wide bonus based on company performance Hybrid working (blend of home and office working to suit individual needs) Nest pension (8% combined contributions) on qualifying earnings 25 days holiday + bank holidays £2,000 annual learning & development budget to spend on whatever best supports your growth 1 month a year 'work from anywhere in the world' policy Spill: our mental health benefit allowing every Fielder access to equal and unrestricted therapy and resources Green leave: paid time off to do something good for the environment Fun co-working office space in Shoreditch, London Dog friendly office (with some regular furry friends already in the team) Free team lunch once a week Regular team socials Birthday carbon offset: a gift from Field to the world to celebrate your birthday & many more on the way!
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
Job title: Software Engineer Intern (12 months) - Starting Summer 2024 Location: Cambridge, UK SLB Cambridge Research (SCR) is part of SLB's global network of research and engineering centres. SCR is a dynamic, multidisciplinary environment with state-of-the-art research and computing facilities. We work on applied research projects in the physical sciences to meet the current and future challenges of the industry About SLB: We are a global technology company, driving energy innovation for a balanced planet. At SLB we create amazing technology that unlocks access to energy for the benefit of all. That is our purpose. As innovators, that's been our mission for 100 years. We are facing the world's greatest balancing act- how to simultaneously reduce emissions and meet the world's growing energy demands. We're working on that answer. Every day, a step closer. Our collective future depends on decarbonizing the fossil fuel industry, while innovating a new energy landscape. It's what drives us. Ensuring progress for people and the planet, on the journey to net zero and beyond. For a balanced planet. Description and Scope: Prototyping the digital platform for the future of the company, we have an opportunity to join Schlumberger Cambridge Research on an internship. You will be part of a multi-disciplinary team in the Digital Systems Research department which comprises the Data & Domain (D&D) program and the Automation & Planning (A&P) programme. In A&P we are developing the future machine reasoning infrastructure. This system assists decision-making, offering explanations (XAI) for its recommendations via a proprietary semantic web ontology. Additionally, we create state-of-the-art solvers for AI Planning and Scheduling; the resulting plans are interwoven by the ontology with the vision of a truly integrated digital infrastructure. These are extensive multi-year research efforts, you will be guided and supported throughout, and success is not measured by completion of a pre-specified list of tasks. The specialism of the group is in the development of the algorithms and the role of the internship is to provide software development support and expertise around the front-end and also the backend integration between algorithms and data stores, so this role suits an open-minded self-starter. Your work will involve programming in Python and potentially also in SQL, Java and C++ and the ontology structural approaches like SHACL. Other programming languages and frameworks may also be required, and training resources and time will be provided. Deliverables Interns will be mentored and responsible for developing aspects of the SLB digital solutions from the cloud and web-based applications to data analytics. Interns will experience the development of prototype solutions and the interaction scientists, domain experts and end-users to assist in the testing of the prototypes. Develop software that integrates with a variety of real-world business systems Support scientists on software development for user-ready prototypes, data analysis, user interfaces Present demos to visitors and internal stakeholders, acquire and apply software development skills in a supportive environment of continuous learning Required Skills & Qualifications Penultimate or Final year BSc / Masters student in Computer Science or a related discipline Passionate interest in programming Willingness to learn. Good communication skills Exposure to any of the following would be a plus, however demonstrating an ability to learn is more important than specific existing skills: Scripting (Python, Shell), C++, C#, Java, JavaScript System design, including producing UML diagrams. Development of Web Applications Source code control such as Git Systems integration, databases, SQL Semantic web, SPARQL AI Planning, PDDL BlueFlex: We are open to flexible, hybrid working with a combination of on-site & home working days. SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or other characteristics protected by law.
Apr 15, 2024
Full time
Job title: Software Engineer Intern (12 months) - Starting Summer 2024 Location: Cambridge, UK SLB Cambridge Research (SCR) is part of SLB's global network of research and engineering centres. SCR is a dynamic, multidisciplinary environment with state-of-the-art research and computing facilities. We work on applied research projects in the physical sciences to meet the current and future challenges of the industry About SLB: We are a global technology company, driving energy innovation for a balanced planet. At SLB we create amazing technology that unlocks access to energy for the benefit of all. That is our purpose. As innovators, that's been our mission for 100 years. We are facing the world's greatest balancing act- how to simultaneously reduce emissions and meet the world's growing energy demands. We're working on that answer. Every day, a step closer. Our collective future depends on decarbonizing the fossil fuel industry, while innovating a new energy landscape. It's what drives us. Ensuring progress for people and the planet, on the journey to net zero and beyond. For a balanced planet. Description and Scope: Prototyping the digital platform for the future of the company, we have an opportunity to join Schlumberger Cambridge Research on an internship. You will be part of a multi-disciplinary team in the Digital Systems Research department which comprises the Data & Domain (D&D) program and the Automation & Planning (A&P) programme. In A&P we are developing the future machine reasoning infrastructure. This system assists decision-making, offering explanations (XAI) for its recommendations via a proprietary semantic web ontology. Additionally, we create state-of-the-art solvers for AI Planning and Scheduling; the resulting plans are interwoven by the ontology with the vision of a truly integrated digital infrastructure. These are extensive multi-year research efforts, you will be guided and supported throughout, and success is not measured by completion of a pre-specified list of tasks. The specialism of the group is in the development of the algorithms and the role of the internship is to provide software development support and expertise around the front-end and also the backend integration between algorithms and data stores, so this role suits an open-minded self-starter. Your work will involve programming in Python and potentially also in SQL, Java and C++ and the ontology structural approaches like SHACL. Other programming languages and frameworks may also be required, and training resources and time will be provided. Deliverables Interns will be mentored and responsible for developing aspects of the SLB digital solutions from the cloud and web-based applications to data analytics. Interns will experience the development of prototype solutions and the interaction scientists, domain experts and end-users to assist in the testing of the prototypes. Develop software that integrates with a variety of real-world business systems Support scientists on software development for user-ready prototypes, data analysis, user interfaces Present demos to visitors and internal stakeholders, acquire and apply software development skills in a supportive environment of continuous learning Required Skills & Qualifications Penultimate or Final year BSc / Masters student in Computer Science or a related discipline Passionate interest in programming Willingness to learn. Good communication skills Exposure to any of the following would be a plus, however demonstrating an ability to learn is more important than specific existing skills: Scripting (Python, Shell), C++, C#, Java, JavaScript System design, including producing UML diagrams. Development of Web Applications Source code control such as Git Systems integration, databases, SQL Semantic web, SPARQL AI Planning, PDDL BlueFlex: We are open to flexible, hybrid working with a combination of on-site & home working days. SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or other characteristics protected by law.