Must have active enhanced DV (West) Clearance Up to £75k DoE plus bonuses and benefits 3 days on site per week in Cheltenham Skills required in Machine Learning, AWS/Azure, Python, NLP, AI Who are we? We are recruiting a Data Scientist with enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation. You'll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Apply creative data science and ML techniques Innovate and research solutions Stay current with ML and data tech Engage in full data science lifecycle Document technically Deliver high-quality project components Provide practical client solutions Assist in proposal crafting and pitching Deepen understanding of the Defence and Security sector for AI & Data transformation opportunities Key Skills and Requirements Essential: Active Enhanced DV Clearance Applying data science or machine learning in Defence/Security, public sector, or academia Proficiency in various machine learning architectures and models Methodical problem-solving skills Effective communication of complex technical concepts to diverse audiences Client relationship management abilities Desirable: Cloud-based Data Science and Machine Learning services (AWS, Azure, GCP) Familiarity with Python libraries for data management, statistics, machine learning, and visualisation. Expertise in popular machine learning frameworks like TensorFlow and PyTorch Knowledge of cutting-edge techniques for Natural Language Processing and Computer Vision Strong grasp of basic probability concepts and machine learning lifecycle Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo) Understanding and application of Ethical AI considerations TO BE CONSIDERED . Please either apply by clicking online or emailing me directly at . For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Scientist / Data Science / AWS / Azure / Machine Learning / NLP / AI / PyTorch / TensorFlow / Python / Cheltenham / Security Cleared / DV / DV Cleared / Enhanced Clearance
Apr 24, 2024
Full time
Must have active enhanced DV (West) Clearance Up to £75k DoE plus bonuses and benefits 3 days on site per week in Cheltenham Skills required in Machine Learning, AWS/Azure, Python, NLP, AI Who are we? We are recruiting a Data Scientist with enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation. You'll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Apply creative data science and ML techniques Innovate and research solutions Stay current with ML and data tech Engage in full data science lifecycle Document technically Deliver high-quality project components Provide practical client solutions Assist in proposal crafting and pitching Deepen understanding of the Defence and Security sector for AI & Data transformation opportunities Key Skills and Requirements Essential: Active Enhanced DV Clearance Applying data science or machine learning in Defence/Security, public sector, or academia Proficiency in various machine learning architectures and models Methodical problem-solving skills Effective communication of complex technical concepts to diverse audiences Client relationship management abilities Desirable: Cloud-based Data Science and Machine Learning services (AWS, Azure, GCP) Familiarity with Python libraries for data management, statistics, machine learning, and visualisation. Expertise in popular machine learning frameworks like TensorFlow and PyTorch Knowledge of cutting-edge techniques for Natural Language Processing and Computer Vision Strong grasp of basic probability concepts and machine learning lifecycle Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo) Understanding and application of Ethical AI considerations TO BE CONSIDERED . Please either apply by clicking online or emailing me directly at . For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Scientist / Data Science / AWS / Azure / Machine Learning / NLP / AI / PyTorch / TensorFlow / Python / Cheltenham / Security Cleared / DV / DV Cleared / Enhanced Clearance
Third Nexus Group Limited
Cheltenham, Gloucestershire
Azure Data Engineer Perm Cheltenham / Hybrid working (2 / 3 days per week onsite) Up to 65,000pa Candidates must be eligible for SC Clearance We're in search of an exceptional Azure Data Engineer to join our Engineering Team. As a member of our dynamic and forward-thinking group, you'll have the chance to actively participate in a broad spectrum of digital projects, spanning cultural awareness, business continuity, and beyond. QUALIFICATIONS Due to the nature of client work for this role, you will need to be a sole British national, eligible to work on secure client sites. We're seeking a Data Engineer with a focus on Azure, showcasing proficiency in: Leveraging Azure cloud technologies for tasks such as ETL pipeline development, data warehousing, data lake creation, and data movement. Utilizing Azure data and analytics services, including but not limited to Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Stream Analytics, and Azure Synapse Analytics. A solid foundation in data engineering, data science, and product development, encompassing experience in both stream and batch processing. Designing and deploying production data pipelines, utilizing languages such as Java, Python, Scala, Spark, and SQL. In addition, you should have proficiency or familiarity with: Scripting and data extraction via APIs, along with composing SQL queries. Integrating data engineering components into production systems and expertise in data cleaning, data wrangling, data visualization, and reporting. Handling substantial volumes of structured and unstructured data, including integration of data through Azure cloud-based ingestion and curation processes. Knowledge of data mining, machine learning, and natural language processing is considered advantageous. Familiarity with Agile methodologies and participation in Scrum ceremonies. Competence in designing and constructing solutions tailored for the Azure cloud environment, which may involve expertise in Platform-as-a-Service components, serverless architecture, and container technologies.
Apr 24, 2024
Full time
Azure Data Engineer Perm Cheltenham / Hybrid working (2 / 3 days per week onsite) Up to 65,000pa Candidates must be eligible for SC Clearance We're in search of an exceptional Azure Data Engineer to join our Engineering Team. As a member of our dynamic and forward-thinking group, you'll have the chance to actively participate in a broad spectrum of digital projects, spanning cultural awareness, business continuity, and beyond. QUALIFICATIONS Due to the nature of client work for this role, you will need to be a sole British national, eligible to work on secure client sites. We're seeking a Data Engineer with a focus on Azure, showcasing proficiency in: Leveraging Azure cloud technologies for tasks such as ETL pipeline development, data warehousing, data lake creation, and data movement. Utilizing Azure data and analytics services, including but not limited to Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Stream Analytics, and Azure Synapse Analytics. A solid foundation in data engineering, data science, and product development, encompassing experience in both stream and batch processing. Designing and deploying production data pipelines, utilizing languages such as Java, Python, Scala, Spark, and SQL. In addition, you should have proficiency or familiarity with: Scripting and data extraction via APIs, along with composing SQL queries. Integrating data engineering components into production systems and expertise in data cleaning, data wrangling, data visualization, and reporting. Handling substantial volumes of structured and unstructured data, including integration of data through Azure cloud-based ingestion and curation processes. Knowledge of data mining, machine learning, and natural language processing is considered advantageous. Familiarity with Agile methodologies and participation in Scrum ceremonies. Competence in designing and constructing solutions tailored for the Azure cloud environment, which may involve expertise in Platform-as-a-Service components, serverless architecture, and container technologies.
NLP Machine Learning Engineer Tech Company Permanent £60,000 - £80,000 + benefits London (hybrid - 1 day a week in the office minimum) Xcede are excited to be partnering with an AI focused Tech company who are looking to add to their Data Science team. They are looking for an NLP focused ML Engineer who is experienced in building models and deploying them. Their cutting edge product is NLP focused, so you would have the opportunity to work on lots of unstructured data and make an impact with their Financial Services clients. They have lots of exciting projects working on Large Language Models. Key skills/experience required: • A degree in STEM subject • 2+ years industry experience • Solid experience building ML models • Industry experience focused on using NLP techniques to train models • Experience developing ML solutions to Cloud (AWS ideally) • Excellent grasp of Python/SQL + machine learning core libraries • Some experience/interest in Computer vision is nice to have • Experience building Large Language Models (LLMs) is nice to have For more information, please send an up-to-date CV to Machine Learning Engineer, Data Scientist, Data Science, Machine Learning, Python, NLP, Natural Language Processing, Computer Science, Statistics, Data pipelines, SQL, Regression, Clustering, XGBoost, Random Forest, Decision Trees, Predictive modelling, FinTech, ML Ops, Deep Learning, Neural Networks, Deployment, Containerisation, Generative AI, LLMs, large language models Company: Xcede Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) How to apply: Please mention NLP People as a source when applying Tagged as: Clustering , Industry , Natural Language Processing , Neural Networks , NLP , Unspecified
Apr 23, 2024
Full time
NLP Machine Learning Engineer Tech Company Permanent £60,000 - £80,000 + benefits London (hybrid - 1 day a week in the office minimum) Xcede are excited to be partnering with an AI focused Tech company who are looking to add to their Data Science team. They are looking for an NLP focused ML Engineer who is experienced in building models and deploying them. Their cutting edge product is NLP focused, so you would have the opportunity to work on lots of unstructured data and make an impact with their Financial Services clients. They have lots of exciting projects working on Large Language Models. Key skills/experience required: • A degree in STEM subject • 2+ years industry experience • Solid experience building ML models • Industry experience focused on using NLP techniques to train models • Experience developing ML solutions to Cloud (AWS ideally) • Excellent grasp of Python/SQL + machine learning core libraries • Some experience/interest in Computer vision is nice to have • Experience building Large Language Models (LLMs) is nice to have For more information, please send an up-to-date CV to Machine Learning Engineer, Data Scientist, Data Science, Machine Learning, Python, NLP, Natural Language Processing, Computer Science, Statistics, Data pipelines, SQL, Regression, Clustering, XGBoost, Random Forest, Decision Trees, Predictive modelling, FinTech, ML Ops, Deep Learning, Neural Networks, Deployment, Containerisation, Generative AI, LLMs, large language models Company: Xcede Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) How to apply: Please mention NLP People as a source when applying Tagged as: Clustering , Industry , Natural Language Processing , Neural Networks , NLP , Unspecified
JOB AD: Key Responsibilities: Carry out research on recommender systems and apply to practical scenarios such as advertisement, cross-domain etc, while preserving user privacy Literature review and investigate the state of the art regarding recommendation systems including mutimodal information fused recommendation 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: Experience in recommender systems and distributed, decentralized, or federated learning or natural language processing
Apr 23, 2024
Full time
JOB AD: Key Responsibilities: Carry out research on recommender systems and apply to practical scenarios such as advertisement, cross-domain etc, while preserving user privacy Literature review and investigate the state of the art regarding recommendation systems including mutimodal information fused recommendation 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: Experience in recommender systems and distributed, decentralized, or federated learning or natural language processing
Minimum qualifications Bachelor's degree in Computer Science, Software Engineering or other Quantitative field (e.g. Physics, Mathematics, Statistics) or equivalent practical experience. 4 years of experience in Machine Learning, NLP or other applied AI. Experience in coding, unitest and scripting in one or more languages (Python, C, C++ or Go). Preferred qualifications Experience with deep learning frameworks (such as TensorFlow, PyTorch, transformers). Experience with model training/deployment frameworks, e.g., mlfow, triton inference server, torch server or text generation inference. Experience in delivering complex Artificial Intelligence (AI) or data analytics projects. Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, Extract, transform, and load (ETL) and reporting/analytic tools and environments such as Apache Beam, Hadoop, Spark. Demonstrated ability to translate business problems in AI projects. Excellent communication skills. Responsibilities Develop and fine-tune machine learning models, craft analytical pipelines, and orchestrate their integration into high-capacity production environments. Foster productive cross-functional communication with Product teams, actively proposing AI-driven enhancements for novel product features. Execute rigorous technical assessments, perform thorough code audits, and lead design reviews to ensure the highest standard of quality and performance. Engage in in-depth technical exploration of diverse machine learning solutions, technology stacks, and infrastructure to drive innovation and optimisation. About The Job Toggle's software engineers drive the development of cutting-edge technologies that transform how millions of users connect, explore information, and engage with the market. Our products must effectively manage vast amounts of data and go far beyond generating investment insights. We seek engineers who bring innovative concepts from diverse fields such as information retrieval, distributed computing, designing large-scale systems, networking, data storage, cybersecurity, artificial intelligence, natural language processing, mobile and UI design - the range continues to expand constantly. As a Machine Learning and AI Engineer, you will design and implement Machine Learning solutions for internal and customer use cases, leveraging best of breed products including TensorFlow/PyTorch, DataFlow, OpenAI, LLAMA, and Vertex AI. You will work closely with Product Management and Product Engineering to build and constantly drive excellence in our products. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will document, design, secure, maintain, and enhance software solutions. Toggle aims to become an inclusive organization that mirrors the globally varied audience benefiting from our products and technology. We firmly believe that a diversity of viewpoints, concepts, and cultures not only enriches our workforce, but also results in the development of superior products and services. At its core, Toggle embodies an engineering ethos. We recruit individuals with a wide array of technical proficiencies who are prepared to confront some of technology's most significant hurdles and leave a mark on global users. Within Toggle, engineers not only pioneer advancements in the investment space, but they also routinely address scalability and storage solutions, develop large-scale applications, and introduce entirely novel platforms for other developers. Notice Toggle does not accept agency resumes. Please do not forward resumes to our jobs alias, Toggle employees or any other organization location. Toggle is not responsible for any fees related to unsolicited resumes
Apr 21, 2024
Full time
Minimum qualifications Bachelor's degree in Computer Science, Software Engineering or other Quantitative field (e.g. Physics, Mathematics, Statistics) or equivalent practical experience. 4 years of experience in Machine Learning, NLP or other applied AI. Experience in coding, unitest and scripting in one or more languages (Python, C, C++ or Go). Preferred qualifications Experience with deep learning frameworks (such as TensorFlow, PyTorch, transformers). Experience with model training/deployment frameworks, e.g., mlfow, triton inference server, torch server or text generation inference. Experience in delivering complex Artificial Intelligence (AI) or data analytics projects. Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, Extract, transform, and load (ETL) and reporting/analytic tools and environments such as Apache Beam, Hadoop, Spark. Demonstrated ability to translate business problems in AI projects. Excellent communication skills. Responsibilities Develop and fine-tune machine learning models, craft analytical pipelines, and orchestrate their integration into high-capacity production environments. Foster productive cross-functional communication with Product teams, actively proposing AI-driven enhancements for novel product features. Execute rigorous technical assessments, perform thorough code audits, and lead design reviews to ensure the highest standard of quality and performance. Engage in in-depth technical exploration of diverse machine learning solutions, technology stacks, and infrastructure to drive innovation and optimisation. About The Job Toggle's software engineers drive the development of cutting-edge technologies that transform how millions of users connect, explore information, and engage with the market. Our products must effectively manage vast amounts of data and go far beyond generating investment insights. We seek engineers who bring innovative concepts from diverse fields such as information retrieval, distributed computing, designing large-scale systems, networking, data storage, cybersecurity, artificial intelligence, natural language processing, mobile and UI design - the range continues to expand constantly. As a Machine Learning and AI Engineer, you will design and implement Machine Learning solutions for internal and customer use cases, leveraging best of breed products including TensorFlow/PyTorch, DataFlow, OpenAI, LLAMA, and Vertex AI. You will work closely with Product Management and Product Engineering to build and constantly drive excellence in our products. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will document, design, secure, maintain, and enhance software solutions. Toggle aims to become an inclusive organization that mirrors the globally varied audience benefiting from our products and technology. We firmly believe that a diversity of viewpoints, concepts, and cultures not only enriches our workforce, but also results in the development of superior products and services. At its core, Toggle embodies an engineering ethos. We recruit individuals with a wide array of technical proficiencies who are prepared to confront some of technology's most significant hurdles and leave a mark on global users. Within Toggle, engineers not only pioneer advancements in the investment space, but they also routinely address scalability and storage solutions, develop large-scale applications, and introduce entirely novel platforms for other developers. Notice Toggle does not accept agency resumes. Please do not forward resumes to our jobs alias, Toggle employees or any other organization location. Toggle is not responsible for any fees related to unsolicited resumes
Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable and secure payments network, enabling individuals, businesses and economies to thrive. When partnering with Visa, you are also in a way part of a culture of purpose and belonging - where the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world - helping unlock financial access to enable the future of money movement. Visa Cross-Border Solutions offers deep money movement capabilities to organisations across the globe. Powered by Currencycloud technology, Visa Cross-Border Solutions enhances, streamlines and simplifies integrating the cross-border financial tools of tomorrow. Clients can embed cross-border finance into the heart of their business and create sophisticated and user-friendly app-based experiences, connecting consumers and businesses around the world. Since 2012, the technology behind Visa Cross-Border Solutions has been used to process more than 250bn to over 180 countries, partnering with banks, businesses and fintechs all over the world. Partner with Visa: A Network Working for Everyone. What's it all about? Data Engineering Team at VXBS Our small but dynamic data engineering team we play a pivotal role in managing critical aspects of VXBS's data ecosystem. AWS : Our cloud computing platform. Snowflake : Our trusted data warehouse platform. DBT Core : We leverage DBT for data transformations and modelling. Matillion : An essential tool for orchestrating ETL workflows. Datadog: For monitoring and alerting. Terraform for our infrastructure, including Snowflake. The Balancing Act: As we embark on a transformation journey toward a more modern data stack, we find ourselves juggling our current workload while keeping an eye on the future. Our mission: seamlessly transition to a stack that empowers us even further. Join us as we navigate this exciting evolution, making data-driven decisions and shaping the future of VXBS Are you passionate about crafting robust data pipelines , fine-tuning performance , and empowering data-driven decisions ? The role will involve designing, developing, and maintaining robust data pipelines with a focus on automation and scalability, implementing data quality controls, optimising efficiency, collaborating with teams and researching new technologies. Key Responsibilities: Design, implement, and maintain cloud-based infrastructure and automation tools to support the development, testing, and deployment of software systems. Collaborate with cross-functional teams, including software development, operations, and quality assurance, to define and implement DevOps strategies and best practices. Develop and manage CI/CD pipelines, including build, test, and deployment automation, to enable efficient and reliable software delivery. Ensure the scalability, availability, and security of infrastructure systems, including monitoring, logging, and disaster recovery plans. Drive continuous improvement by identifying and implementing process enhancements, tools, and technologies to optimize the software development lifecycle. Collaborate with development teams to optimize application performance, troubleshoot issues, and implement efficient resource utilization. Stay up-to-date with industry trends, emerging technologies, and best practices in DevOps, cloud computing, and system administration. Join us as we propel our legacy stack into a more modern, efficient, and data-savvy future. If you're ready to make an impact, apply now If you are interested in a career that will challenge and inspire you - we'd love to hear from you Diversity & Inclusion Universal acceptance for everyone, everywhere, is not only our brand promise, it's the foundation of our company culture. We foster a feeling of connectedness in the workplace, support diversity of thought, culture and background, fight for important initiatives like Equal Pay and actively work to eliminate unconscious biases that hold us all back. By leveraging the diverse backgrounds and perspectives of our worldwide teams, Visa is a better place to work and a better business partner to our clients. This is a remote position. A remote position does not require job duties be performed within proximity of a Visa office location. Remote positions may be required to be present at a Visa office with scheduled notice. Qualifications Qualifications: Proven experience in DevOps or system administration roles, with a focus on cloud-based infrastructure. Strong experience with AWS cloud platforms: including infrastructure provisioning, monitoring, and automation. Expert in Infrastructure as code using Terraform and AWS CloudFormation. Proficiency in scripting languages such as Python, Bash, or PowerShell, and experience with configuration management tools like Ansible, Chef, or Puppet. In-depth knowledge of CI/CD tools and practices, such as Jenkins, GitHub&GitHub Actions, ADO, GitLab CI/CD, or CircleCI, and experience with source code management systems like Git. Extensive experience with containerization technologies such as Docker and orchestration tools like Kubernetes, particularly EKS. Solid understanding of networking principles, security best practices, and system performance optimization. Excellent problem-solving skills and ability to troubleshoot complex issues in a distributed, cloud-based environment. Strong communication and collaboration skills, with the ability to effectively work with cross-functional teams and stakeholders. Additional Information Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Explore more AI, ML, Data Science career opportunities Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
Apr 21, 2024
Full time
Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable and secure payments network, enabling individuals, businesses and economies to thrive. When partnering with Visa, you are also in a way part of a culture of purpose and belonging - where the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world - helping unlock financial access to enable the future of money movement. Visa Cross-Border Solutions offers deep money movement capabilities to organisations across the globe. Powered by Currencycloud technology, Visa Cross-Border Solutions enhances, streamlines and simplifies integrating the cross-border financial tools of tomorrow. Clients can embed cross-border finance into the heart of their business and create sophisticated and user-friendly app-based experiences, connecting consumers and businesses around the world. Since 2012, the technology behind Visa Cross-Border Solutions has been used to process more than 250bn to over 180 countries, partnering with banks, businesses and fintechs all over the world. Partner with Visa: A Network Working for Everyone. What's it all about? Data Engineering Team at VXBS Our small but dynamic data engineering team we play a pivotal role in managing critical aspects of VXBS's data ecosystem. AWS : Our cloud computing platform. Snowflake : Our trusted data warehouse platform. DBT Core : We leverage DBT for data transformations and modelling. Matillion : An essential tool for orchestrating ETL workflows. Datadog: For monitoring and alerting. Terraform for our infrastructure, including Snowflake. The Balancing Act: As we embark on a transformation journey toward a more modern data stack, we find ourselves juggling our current workload while keeping an eye on the future. Our mission: seamlessly transition to a stack that empowers us even further. Join us as we navigate this exciting evolution, making data-driven decisions and shaping the future of VXBS Are you passionate about crafting robust data pipelines , fine-tuning performance , and empowering data-driven decisions ? The role will involve designing, developing, and maintaining robust data pipelines with a focus on automation and scalability, implementing data quality controls, optimising efficiency, collaborating with teams and researching new technologies. Key Responsibilities: Design, implement, and maintain cloud-based infrastructure and automation tools to support the development, testing, and deployment of software systems. Collaborate with cross-functional teams, including software development, operations, and quality assurance, to define and implement DevOps strategies and best practices. Develop and manage CI/CD pipelines, including build, test, and deployment automation, to enable efficient and reliable software delivery. Ensure the scalability, availability, and security of infrastructure systems, including monitoring, logging, and disaster recovery plans. Drive continuous improvement by identifying and implementing process enhancements, tools, and technologies to optimize the software development lifecycle. Collaborate with development teams to optimize application performance, troubleshoot issues, and implement efficient resource utilization. Stay up-to-date with industry trends, emerging technologies, and best practices in DevOps, cloud computing, and system administration. Join us as we propel our legacy stack into a more modern, efficient, and data-savvy future. If you're ready to make an impact, apply now If you are interested in a career that will challenge and inspire you - we'd love to hear from you Diversity & Inclusion Universal acceptance for everyone, everywhere, is not only our brand promise, it's the foundation of our company culture. We foster a feeling of connectedness in the workplace, support diversity of thought, culture and background, fight for important initiatives like Equal Pay and actively work to eliminate unconscious biases that hold us all back. By leveraging the diverse backgrounds and perspectives of our worldwide teams, Visa is a better place to work and a better business partner to our clients. This is a remote position. A remote position does not require job duties be performed within proximity of a Visa office location. Remote positions may be required to be present at a Visa office with scheduled notice. Qualifications Qualifications: Proven experience in DevOps or system administration roles, with a focus on cloud-based infrastructure. Strong experience with AWS cloud platforms: including infrastructure provisioning, monitoring, and automation. Expert in Infrastructure as code using Terraform and AWS CloudFormation. Proficiency in scripting languages such as Python, Bash, or PowerShell, and experience with configuration management tools like Ansible, Chef, or Puppet. In-depth knowledge of CI/CD tools and practices, such as Jenkins, GitHub&GitHub Actions, ADO, GitLab CI/CD, or CircleCI, and experience with source code management systems like Git. Extensive experience with containerization technologies such as Docker and orchestration tools like Kubernetes, particularly EKS. Solid understanding of networking principles, security best practices, and system performance optimization. Excellent problem-solving skills and ability to troubleshoot complex issues in a distributed, cloud-based environment. Strong communication and collaboration skills, with the ability to effectively work with cross-functional teams and stakeholders. Additional Information Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Explore more AI, ML, Data Science career opportunities Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
Company Description Hitachi Solutions Europe is a global Digital, Data and Technology consultancy, Microsoft Gold partner and Cloud Services partner, specialising in end-to-end transformation. As a global consultancy firm working across the private and public sectors, we specialise in Dynamics 365 Business Applications, Power Platform, including Azure, Application Modernisation and Data & Analytics. Our highly skilled team help drive improvements, creating efficiency and growth within organisations. We are committed to Microsoft technologies, with a mission to revolutionise modern businesses. To achieve this we employ the best, most dedicated talent to deliver outstanding technology solutions to both our local and global clients. Be part of our Hitachi family We place value on collaboration, open communication, and transparency. We emphasise the importance of team spirit, cohesion, and appreciation - And through our talented people, innovative culture, and technical and business expertise, we deliver game changing outcomes every day. Our learning culture and flat hierarchy are our recipes for success. But don't take our word for it - Have a look at what our employees are saying: Hitachi Solutions: Recruiting the best talent and offering outstanding career opportunities (hitachi-solutions.co.uk) What to expect, your benefits Hitachi Solutions offers competitive compensation packages (incl. bonuses), pension and benefits plans. Work/Life balance is an essential part of our culture, and all our employees are home workers, although you will be expected to come into our or customer's offices regularly. We operate a comprehensive career development programme that includes mentoring and training plans to ensure that you will continue to grow and develop your career at Hitachi. Job Description We are growing our consulting team and looking for Senior AI (Artificial Intelligence) Consultants to join us on our exciting journey and be part of the Hitachi Solutions family Key Responsibilities Identify business problems and translate them into technology solutions. Explore and analyse data from various sources and formats using tools such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Machine Learning Implement data pipelines and workflows to automate and operationalize machine learning solutions using tools such as Azure ML Pipelines, Azure DevOps, and Azure Functions Run experiments and monitor performance of machine learning solutions using tools such as Azure ML Experimentation, Azure ML Studio, and Azure Application Insights Define high-value business scenarios that can benefit from generative AI and LLM solutions. Communicate and present findings and recommendations to stakeholders and customers using tools such as Power BI, Azure Data Explorer, and Azure Cognitive Services Qualifications Key Competencies Demonstrable experience in data science, machine learning, or a related field. Proficiency in Python, R, SQL, or other programming languages for data analysis and machine learning. Experience with cloud platforms and services, preferably Azure, for data science and machine learning Experience with one or more generative AI and LLM frameworks and tools, such as GPT-3, DALL-E, CLIP, or others. Familiarity with machine learning concepts and techniques such as supervised and unsupervised learning, classification, regression, clustering, anomaly detection, natural language processing, computer vision, and deep learning. Experience with data visualization and storytelling tools and techniques. Excellent communication, collaboration, stakeholder management, and problem-solving skills. Additional Information In applying for a role with Hitachi Solutions Europe Limited and/or its affiliates ("Hitachi") you consent to Hitachi collecting and storing your personal information (including your name, job title and email address) in relation to this role and any others that may be suitable in the future. For more information please refer to our Privacy Policy located at Privacy policy (hitachi-solutions.co.uk) Beware of scams Our recruiting team may communicate with candidates via domain email address and/or via our SmartRecruiters (Applicant Tracking System) domain email address regarding your application and interview requests. All offers will originate from domain email address. If you receive an offer or information from someone purporting to be an employee of Hitachi Solutions from any other domain, it may not be legitimate.
Apr 20, 2024
Full time
Company Description Hitachi Solutions Europe is a global Digital, Data and Technology consultancy, Microsoft Gold partner and Cloud Services partner, specialising in end-to-end transformation. As a global consultancy firm working across the private and public sectors, we specialise in Dynamics 365 Business Applications, Power Platform, including Azure, Application Modernisation and Data & Analytics. Our highly skilled team help drive improvements, creating efficiency and growth within organisations. We are committed to Microsoft technologies, with a mission to revolutionise modern businesses. To achieve this we employ the best, most dedicated talent to deliver outstanding technology solutions to both our local and global clients. Be part of our Hitachi family We place value on collaboration, open communication, and transparency. We emphasise the importance of team spirit, cohesion, and appreciation - And through our talented people, innovative culture, and technical and business expertise, we deliver game changing outcomes every day. Our learning culture and flat hierarchy are our recipes for success. But don't take our word for it - Have a look at what our employees are saying: Hitachi Solutions: Recruiting the best talent and offering outstanding career opportunities (hitachi-solutions.co.uk) What to expect, your benefits Hitachi Solutions offers competitive compensation packages (incl. bonuses), pension and benefits plans. Work/Life balance is an essential part of our culture, and all our employees are home workers, although you will be expected to come into our or customer's offices regularly. We operate a comprehensive career development programme that includes mentoring and training plans to ensure that you will continue to grow and develop your career at Hitachi. Job Description We are growing our consulting team and looking for Senior AI (Artificial Intelligence) Consultants to join us on our exciting journey and be part of the Hitachi Solutions family Key Responsibilities Identify business problems and translate them into technology solutions. Explore and analyse data from various sources and formats using tools such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Machine Learning Implement data pipelines and workflows to automate and operationalize machine learning solutions using tools such as Azure ML Pipelines, Azure DevOps, and Azure Functions Run experiments and monitor performance of machine learning solutions using tools such as Azure ML Experimentation, Azure ML Studio, and Azure Application Insights Define high-value business scenarios that can benefit from generative AI and LLM solutions. Communicate and present findings and recommendations to stakeholders and customers using tools such as Power BI, Azure Data Explorer, and Azure Cognitive Services Qualifications Key Competencies Demonstrable experience in data science, machine learning, or a related field. Proficiency in Python, R, SQL, or other programming languages for data analysis and machine learning. Experience with cloud platforms and services, preferably Azure, for data science and machine learning Experience with one or more generative AI and LLM frameworks and tools, such as GPT-3, DALL-E, CLIP, or others. Familiarity with machine learning concepts and techniques such as supervised and unsupervised learning, classification, regression, clustering, anomaly detection, natural language processing, computer vision, and deep learning. Experience with data visualization and storytelling tools and techniques. Excellent communication, collaboration, stakeholder management, and problem-solving skills. Additional Information In applying for a role with Hitachi Solutions Europe Limited and/or its affiliates ("Hitachi") you consent to Hitachi collecting and storing your personal information (including your name, job title and email address) in relation to this role and any others that may be suitable in the future. For more information please refer to our Privacy Policy located at Privacy policy (hitachi-solutions.co.uk) Beware of scams Our recruiting team may communicate with candidates via domain email address and/or via our SmartRecruiters (Applicant Tracking System) domain email address regarding your application and interview requests. All offers will originate from domain email address. If you receive an offer or information from someone purporting to be an employee of Hitachi Solutions from any other domain, it may not be legitimate.
Machine Learning Lead Are you enthusiastic about leading a team to develop groundbreaking Natural Language Processing (NLP) solutions for intricate challenges? Our client are looking to spearhead the creation of cutting-edge NLP systems that are poised to redefine the landscape of work in the future! Job Description: We are seeking a talented Machine Learning leader to elevate the maturity of our ML Solution. As the Machine Learning Lead, you will play a pivotal role in maximizing the value delivered by our ML engineering team through strategic decision-making and mentorship. Your responsibilities will include guiding architectural decisions, enhancing ML operations, shaping product strategy, and laying a robust foundation for scaling our machine learning capabilities. Additionally, you'll be tasked with effectively communicating technical concepts to non-technical stakeholders. Qualifications: Proficient in machine learning with a focus on NLP Demonstrated experience leading Data Science and ML projects from research to operational deployment Adept at problem-solving with a customer-centric approach Entrepreneurial mindset with a passion for developing ethical AI solutions Excellent communication skills, capable of simplifying complex technical concepts Experience implementing cutting-edge NLP research and working with large datasets and distributed computing frameworks Familiarity with Azure, AWS, or GCP Startup Mindset: To thrive in our environment, you should be proactive, adaptable to change, and possess a continuous improvement mindset. Flexibility, a willingness to exceed expectations, and a comfort with ambiguity are essential traits for success. Flexible Working: We understand that everyone's work preferences differ, which is why we offer various flexible working arrangements, including remote work and flexible hours.
Apr 19, 2024
Full time
Machine Learning Lead Are you enthusiastic about leading a team to develop groundbreaking Natural Language Processing (NLP) solutions for intricate challenges? Our client are looking to spearhead the creation of cutting-edge NLP systems that are poised to redefine the landscape of work in the future! Job Description: We are seeking a talented Machine Learning leader to elevate the maturity of our ML Solution. As the Machine Learning Lead, you will play a pivotal role in maximizing the value delivered by our ML engineering team through strategic decision-making and mentorship. Your responsibilities will include guiding architectural decisions, enhancing ML operations, shaping product strategy, and laying a robust foundation for scaling our machine learning capabilities. Additionally, you'll be tasked with effectively communicating technical concepts to non-technical stakeholders. Qualifications: Proficient in machine learning with a focus on NLP Demonstrated experience leading Data Science and ML projects from research to operational deployment Adept at problem-solving with a customer-centric approach Entrepreneurial mindset with a passion for developing ethical AI solutions Excellent communication skills, capable of simplifying complex technical concepts Experience implementing cutting-edge NLP research and working with large datasets and distributed computing frameworks Familiarity with Azure, AWS, or GCP Startup Mindset: To thrive in our environment, you should be proactive, adaptable to change, and possess a continuous improvement mindset. Flexibility, a willingness to exceed expectations, and a comfort with ambiguity are essential traits for success. Flexible Working: We understand that everyone's work preferences differ, which is why we offer various flexible working arrangements, including remote work and flexible hours.
Master's degree in Computer Science, a related field, or equivalent practical experience. Candidates will typically have 5 years of experience with software development in C and C++, and with data structures/algorithms. Experience in embedded development. Experience with mobile security, debugging. Preferred qualifications: Experience with phone security design, development and lifecycle. Experience in authentication, encryption, certificate management, or operating system security. Experience in Hardware System Architecture, Cryptography, Security Analysis, Security-Enhanced Linux, Linux Kernel Real-Time Operating System, Android BSP Security Testing, Rust, Python. Experience with open source development. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. Responsibilities Work on next generation Pixel security designs and projects. Harden system software components criticial to Pixel security. Research design and develop cutting edge security features for future Pixel devices. Improve infrastructures for fuzzing, testing and Continuous integration (CI). Develop technical solutions to help mitigate security vulnerabilities. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Apr 19, 2024
Full time
Master's degree in Computer Science, a related field, or equivalent practical experience. Candidates will typically have 5 years of experience with software development in C and C++, and with data structures/algorithms. Experience in embedded development. Experience with mobile security, debugging. Preferred qualifications: Experience with phone security design, development and lifecycle. Experience in authentication, encryption, certificate management, or operating system security. Experience in Hardware System Architecture, Cryptography, Security Analysis, Security-Enhanced Linux, Linux Kernel Real-Time Operating System, Android BSP Security Testing, Rust, Python. Experience with open source development. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. Responsibilities Work on next generation Pixel security designs and projects. Harden system software components criticial to Pixel security. Research design and develop cutting edge security features for future Pixel devices. Improve infrastructures for fuzzing, testing and Continuous integration (CI). Develop technical solutions to help mitigate security vulnerabilities. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Algolia was built to help users deliver an intuitive search-as-you-type experience on their websites and mobile apps. We provide Algolia NeuralSearch, a next-generation vector and keyword search in a single API with powerful, end-to-end AI processing for every query. Our API is used by thousands of customers in more than 100 countries. Billions of search queries are answered every month thanks to the code we push into production every day. We are looking for a Senior Back-end Engineer to grow our Engines team. The team provides the main Search API for Algolia. They build and maintain the Core Search Engine to provide the best performance and scalability for our customers. We are looking for engineers who are fluent in modern C++, Golang and complex algorithms who will contribute to raise the bar for how we think about search and relevance. Your role will consist of: Be a key contributor to the design, development, and ultimately operation of the Search engine system at scale Be responsible of the quality, soundness of the system Work with other teams to identify, troubleshoot, and resolve high impact issues. You might be a fit if you have: 3+ years of C++ or Golang development of production-released code A rock-solid foundation in Computer Science (data structures, algorithms, software design) Rigor in high code quality, automated testing, and other engineering best practices Experience in the design of major components and leading engineers in the delivery Excellent spoken and written English skills Nice to have: Experience debugging distributed systems in production Ability to work in a Kubernetes based environment Experience in information retrieval or AI models Experience with the problematics around natural language processing We're looking for someone who can live our values: GRIT - Problem-solving and perseverance capability in an ever-changing and growing environment TRUST - Willingness to trust our co-workers and to take ownership CANDOR - Ability to receive and give constructive feedback. CARE - Genuine care about other team members, our clients and the decisions we make in the company. HUMILITY- Aptitude for learning from others, putting ego aside.
Apr 18, 2024
Full time
Algolia was built to help users deliver an intuitive search-as-you-type experience on their websites and mobile apps. We provide Algolia NeuralSearch, a next-generation vector and keyword search in a single API with powerful, end-to-end AI processing for every query. Our API is used by thousands of customers in more than 100 countries. Billions of search queries are answered every month thanks to the code we push into production every day. We are looking for a Senior Back-end Engineer to grow our Engines team. The team provides the main Search API for Algolia. They build and maintain the Core Search Engine to provide the best performance and scalability for our customers. We are looking for engineers who are fluent in modern C++, Golang and complex algorithms who will contribute to raise the bar for how we think about search and relevance. Your role will consist of: Be a key contributor to the design, development, and ultimately operation of the Search engine system at scale Be responsible of the quality, soundness of the system Work with other teams to identify, troubleshoot, and resolve high impact issues. You might be a fit if you have: 3+ years of C++ or Golang development of production-released code A rock-solid foundation in Computer Science (data structures, algorithms, software design) Rigor in high code quality, automated testing, and other engineering best practices Experience in the design of major components and leading engineers in the delivery Excellent spoken and written English skills Nice to have: Experience debugging distributed systems in production Ability to work in a Kubernetes based environment Experience in information retrieval or AI models Experience with the problematics around natural language processing We're looking for someone who can live our values: GRIT - Problem-solving and perseverance capability in an ever-changing and growing environment TRUST - Willingness to trust our co-workers and to take ownership CANDOR - Ability to receive and give constructive feedback. CARE - Genuine care about other team members, our clients and the decisions we make in the company. HUMILITY- Aptitude for learning from others, putting ego aside.
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.
Data Scientist - Central London Data Scientist with experience in machine learning, SQL, Python / R experience is required by a leading research company in Central London. As the Data Scientist, you will design and implement algorithms for research evaluation. You will lead this project in collaboration with a mix of teams including product and technology teams to build, develop and deploy new data pipelines and research evaluation models. Any experience of Machine Learning would be a big advantage as this is an area that they want to move into, so something that will be huge for them in the coming years Experience ideally required: Either a PhD or MSc in a quantitative research field with at least 1 year of experience in a professional data-science position or 3+ years of experience in a Data Science position Strong programming skills as evidenced by earlier work in data science or software engineering, including experience with standard libraries for data science (NumPy, Pandas, Scikit-Learn, Keras or equivalents) Extensive experience of completing complex data analysis and create proposals / provide recommendations on the back of analysis proficiency in data mining, mathematics, and statistical analysis Solid knowledge of machine learning, natural language processing and ability to develop new algorithms. Be an advocate of the advantages of using machine learning to increase efficiency in the data moving forward Ideally some proven predictive modelling, forecasting or analytical experience with strong SQL, Python & R skills If you have the following it would be a bonus Prior research experience in Data Science or biomedical/medical research (PhD or Postdoc) as evidenced by academic publications or conference talks Experience with deep learning frameworks such as TensorFlow and PyTorch Data Scientist Responsibilities: Design and implement algorithms for research evaluation. You will lead this project in collaboration with a mix of teams including product and technology teams to build, develop and deploy new data pipelines and research evaluation models. Work with the editorial team to identify opportunities to leverage our proprietary recommendation data and the expertise to create research evaluation models. Collaborate with the Product team to develop products based on new data pipelines and models Create data visualizations in collaboration with their technology teams Champion data quality and integrity, highlighting data quality issues and suggesting appropriate solutions. Share knowledge and experience, and analytical/modelling best practices as well as mentoring and development of team member skills My client is looking to pay a salary of between £50,000 - £60,000. They offer some great benefits, including a 35 hour week and flexible work, i.e. working from home. To apply press apply now or send your CV to or contact me on LinkedIn Circle Recruitment is acting as an Employment Agency in relation to this vacancy. Earn yourself a referral bonus if you refer somebody else who fills the role! We also offer an iPad if you refer a new client to us and we recruit for them. Follow us on Facebook - Circle Recruitment , Twitter and LinkedIn - Circle Recruitment.
Nov 10, 2021
Full time
Data Scientist - Central London Data Scientist with experience in machine learning, SQL, Python / R experience is required by a leading research company in Central London. As the Data Scientist, you will design and implement algorithms for research evaluation. You will lead this project in collaboration with a mix of teams including product and technology teams to build, develop and deploy new data pipelines and research evaluation models. Any experience of Machine Learning would be a big advantage as this is an area that they want to move into, so something that will be huge for them in the coming years Experience ideally required: Either a PhD or MSc in a quantitative research field with at least 1 year of experience in a professional data-science position or 3+ years of experience in a Data Science position Strong programming skills as evidenced by earlier work in data science or software engineering, including experience with standard libraries for data science (NumPy, Pandas, Scikit-Learn, Keras or equivalents) Extensive experience of completing complex data analysis and create proposals / provide recommendations on the back of analysis proficiency in data mining, mathematics, and statistical analysis Solid knowledge of machine learning, natural language processing and ability to develop new algorithms. Be an advocate of the advantages of using machine learning to increase efficiency in the data moving forward Ideally some proven predictive modelling, forecasting or analytical experience with strong SQL, Python & R skills If you have the following it would be a bonus Prior research experience in Data Science or biomedical/medical research (PhD or Postdoc) as evidenced by academic publications or conference talks Experience with deep learning frameworks such as TensorFlow and PyTorch Data Scientist Responsibilities: Design and implement algorithms for research evaluation. You will lead this project in collaboration with a mix of teams including product and technology teams to build, develop and deploy new data pipelines and research evaluation models. Work with the editorial team to identify opportunities to leverage our proprietary recommendation data and the expertise to create research evaluation models. Collaborate with the Product team to develop products based on new data pipelines and models Create data visualizations in collaboration with their technology teams Champion data quality and integrity, highlighting data quality issues and suggesting appropriate solutions. Share knowledge and experience, and analytical/modelling best practices as well as mentoring and development of team member skills My client is looking to pay a salary of between £50,000 - £60,000. They offer some great benefits, including a 35 hour week and flexible work, i.e. working from home. To apply press apply now or send your CV to or contact me on LinkedIn Circle Recruitment is acting as an Employment Agency in relation to this vacancy. Earn yourself a referral bonus if you refer somebody else who fills the role! We also offer an iPad if you refer a new client to us and we recruit for them. Follow us on Facebook - Circle Recruitment , Twitter and LinkedIn - Circle Recruitment.
Ofcom is the regulator for the communications services that we use and rely on each day. We make sure people get the best from their broadband, home phone and mobile services, as well as keeping an eye on TV and radio. We also oversee the universal postal service, look after the airwaves used by wireless devices, and also help to make sure people don't get scammed and are protected from bad practices, and we have recently taken on the regulation of video-sharing platforms, and we are preparing for a role in protecting people from online harms. Protecting consumers is at the heart of what we do. Our culture is clear - we live by our values: Empowerment; Excellence; Collaboration; Agility and Respect. These define how we work to deliver our purpose, now and in the future. The behaviours which support these values set the path for a fully inclusive and innovative culture at Ofcom. We focus not only on what we do, but how we do it. We pride ourselves on being an organisation of people who genuinely care about helping others. The Data Innovation Hub works with colleagues across the organisation to improve Ofcom's capability to process, analyse and extract insights from data. For example, we crunch terabytes of data to give us an unparalleled understanding of the coverage and performance of the UK's broadband and mobile networks. And we're exploring how artificial intelligence and machine learning can help us extract more insights from complex data sets or help us do things more efficiently. Purpose of the role This role will support the delivery of our data strategy and growing data agenda by bringing an open mind and strong intellectual curiosity to develop our data analysis capability. Identifying and solving complex business problems with data science and ensuring that we continue to innovate and leverage our data. We are looking for talent to join a central team that can work with all areas of regulatory work, assisting and working alongside colleagues across the organisation, including those working on the new online safety regime. by, exploring the application of deep learning for anomaly detection, combining social media analysis and natural language processing to understand issues affecting consumers or developing new ways to visualise and interact with our geospatial data. Expectations To work collaboratively with colleagues in the Data Innovation Hub, policy and operations teams to understand where data science can add value and deliver innovative projects Work with data engineers to source, access, manipulate and engineer data across a range of sources and data formats Build credible statistical models from a range of data sources data and use best coding practices to generate reproducible work in an agile way. Taking projects through to productions where appropriate Explore and visualise data to present a story in a meaningful way, and communicate new insights to a range of technical and non-technical audiences Maintain an awareness of, and utilise an evolving range of data analysis tools and techniques, including open source, some of which must be learnt quickly, as and when required Promote data science skills and inspire best practice in other teams, building an understanding the variety of data science methods and how they can be effectively applied to solve problems Ensuring compliance with our relevant data and information security principles Support colleagues in engagement with external stakeholders on a range of data and data science related topics. Essential Skills & Knowledge You will need to demonstrate knowledge or experience of: Translating complex business problems into analytical projects, then leading or delivering impactful data or analysis with tangible outcomes. A range of data and analytic tools (such as Python, R, Power BI, Azure Databricks, or equivalent), and cloud computing environments. Machine Learning, statistics, or other data analysis tools and techniques. In particular, but not limited to, we would welcome applications from candidates with experience in the following areas of data science: Natural Language Processing Geospatial Data Science Graphs / Network Analytics Neural Networks and Deep Learning Additional experience: Applying scientific methods through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions, including reviewing the work of others Acting as a thought leader within the Data Science community, including through management and development of junior staff and others' projects. Exploring and advocating ways of utilising new data science tools and techniques to tackle business and organisational challenges, drawing on the application of, and innovation in communication services industries, academia, and other sectors. Strong interpersonal skills and evidence of ability to interact effectively with a range of stakeholders, both internally and externally, to communicate technical concepts across organisational and technical boundaries. Working independently, demonstrating flexibility and adaptability, and supporting a culture of collaboration and trust. Previous experience in the one of our regulatory areas, particularly in online, would be desirable, but is not essential.
Nov 09, 2021
Full time
Ofcom is the regulator for the communications services that we use and rely on each day. We make sure people get the best from their broadband, home phone and mobile services, as well as keeping an eye on TV and radio. We also oversee the universal postal service, look after the airwaves used by wireless devices, and also help to make sure people don't get scammed and are protected from bad practices, and we have recently taken on the regulation of video-sharing platforms, and we are preparing for a role in protecting people from online harms. Protecting consumers is at the heart of what we do. Our culture is clear - we live by our values: Empowerment; Excellence; Collaboration; Agility and Respect. These define how we work to deliver our purpose, now and in the future. The behaviours which support these values set the path for a fully inclusive and innovative culture at Ofcom. We focus not only on what we do, but how we do it. We pride ourselves on being an organisation of people who genuinely care about helping others. The Data Innovation Hub works with colleagues across the organisation to improve Ofcom's capability to process, analyse and extract insights from data. For example, we crunch terabytes of data to give us an unparalleled understanding of the coverage and performance of the UK's broadband and mobile networks. And we're exploring how artificial intelligence and machine learning can help us extract more insights from complex data sets or help us do things more efficiently. Purpose of the role This role will support the delivery of our data strategy and growing data agenda by bringing an open mind and strong intellectual curiosity to develop our data analysis capability. Identifying and solving complex business problems with data science and ensuring that we continue to innovate and leverage our data. We are looking for talent to join a central team that can work with all areas of regulatory work, assisting and working alongside colleagues across the organisation, including those working on the new online safety regime. by, exploring the application of deep learning for anomaly detection, combining social media analysis and natural language processing to understand issues affecting consumers or developing new ways to visualise and interact with our geospatial data. Expectations To work collaboratively with colleagues in the Data Innovation Hub, policy and operations teams to understand where data science can add value and deliver innovative projects Work with data engineers to source, access, manipulate and engineer data across a range of sources and data formats Build credible statistical models from a range of data sources data and use best coding practices to generate reproducible work in an agile way. Taking projects through to productions where appropriate Explore and visualise data to present a story in a meaningful way, and communicate new insights to a range of technical and non-technical audiences Maintain an awareness of, and utilise an evolving range of data analysis tools and techniques, including open source, some of which must be learnt quickly, as and when required Promote data science skills and inspire best practice in other teams, building an understanding the variety of data science methods and how they can be effectively applied to solve problems Ensuring compliance with our relevant data and information security principles Support colleagues in engagement with external stakeholders on a range of data and data science related topics. Essential Skills & Knowledge You will need to demonstrate knowledge or experience of: Translating complex business problems into analytical projects, then leading or delivering impactful data or analysis with tangible outcomes. A range of data and analytic tools (such as Python, R, Power BI, Azure Databricks, or equivalent), and cloud computing environments. Machine Learning, statistics, or other data analysis tools and techniques. In particular, but not limited to, we would welcome applications from candidates with experience in the following areas of data science: Natural Language Processing Geospatial Data Science Graphs / Network Analytics Neural Networks and Deep Learning Additional experience: Applying scientific methods through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions, including reviewing the work of others Acting as a thought leader within the Data Science community, including through management and development of junior staff and others' projects. Exploring and advocating ways of utilising new data science tools and techniques to tackle business and organisational challenges, drawing on the application of, and innovation in communication services industries, academia, and other sectors. Strong interpersonal skills and evidence of ability to interact effectively with a range of stakeholders, both internally and externally, to communicate technical concepts across organisational and technical boundaries. Working independently, demonstrating flexibility and adaptability, and supporting a culture of collaboration and trust. Previous experience in the one of our regulatory areas, particularly in online, would be desirable, but is not essential.
City, London
Cathcart Associates
City, London
Cathcart Associates
Data Scientist required by a tech start-up for what will be a challenging but rewarding role, working closely with an incredibly bright and ambitious Head of Data. You will be working for a company with data analytics at its heart, meaning you won't be a value add, or a nice to have department in a big company - you will drive the success in pretty much everything they do. The Company: A successful start-up based in the trendy Shoreditch region, with a modern work space with all the perks you'd expect from a London scale-up. Following the most successful year in their short history, which included a seven figure Series A and plans in place for a Series B early this year, they are growing at a pace of knots. They provide real-time analytics solutions for some of the world's best-known brands and have some big plans for how the company will look in the next 6-12 months - which you will be an integral part of. The Role: Now for the important stuff. What will you be doing on a day to day basis? When I said earlier this is a greenfield library / solution - the Head of Analytics literally designed the NLP platform a matter of months ago, from scratch. If that excites you rather than daunts you, keep reading. You will work closely with the recently appointed head of department, which is a big bonus in this role as he's obsessed with developing his team, speaks internationally at data science conferences and is genuinely a lovely bloke! The first real area of focus of this role will surround Natural Language Processing (NLP), Text Analytics, Deep Learning and Neural Networks. In time, they will be looking at Image Recognition, Computer Vision and the likes, however, due to the immature nature of the data set, they want to focus on a couple of key areas initially. The Tech: From a programming point of view, everything they do is Python based, so you will likely have experience of most of the following: NumPy, Pandas, SpaCY, Scikit-Learn and a few others. When it comes to Neural Networks, they will be mainly using TensorFlow, so any experience here would be a real bonus. NLP wise, they focus on Natural Language Process with Python (NLTK), so if you have experience here either professionally or in your own time, it will be a bonus. Otherwise, knowledge of the key principles of NLP would be helpful to make sense of everything. Location & Package: The role is in the heart of London's start-up scene, Shoreditch. You will be working in a bright, modern office space with likeminded people in an organisation who are really going places. From a package point of view, they offer contributory pension (like everyone else, it's the law now …); generous holiday allowance; brand new kit (any set-up you like); training budget - you'll be really encouraged to talk at meet-ups, undergo certifications and go to conferences and the usual softer benefits of working with a scale-up, drinks fridge, flexible working hours, breakout areas and exercise classes. Salary wise, they are very flexible for the right person. In practice, that means somewhere in the region of £55-60k for a more junior, but switched on Data Scientist (think PhD educated, or a Research position) all the way up to £95-100k for a seasoned Data Scientist ready for their next challenge. Click on the link below and contact Liam at Cathcart Associates for more information on the role & company.
Feb 15, 2019
City, London
Cathcart Associates
City, London
Cathcart Associates
Data Scientist required by a tech start-up for what will be a challenging but rewarding role, working closely with an incredibly bright and ambitious Head of Data. You will be working for a company with data analytics at its heart, meaning you won't be a value add, or a nice to have department in a big company - you will drive the success in pretty much everything they do. The Company: A successful start-up based in the trendy Shoreditch region, with a modern work space with all the perks you'd expect from a London scale-up. Following the most successful year in their short history, which included a seven figure Series A and plans in place for a Series B early this year, they are growing at a pace of knots. They provide real-time analytics solutions for some of the world's best-known brands and have some big plans for how the company will look in the next 6-12 months - which you will be an integral part of. The Role: Now for the important stuff. What will you be doing on a day to day basis? When I said earlier this is a greenfield library / solution - the Head of Analytics literally designed the NLP platform a matter of months ago, from scratch. If that excites you rather than daunts you, keep reading. You will work closely with the recently appointed head of department, which is a big bonus in this role as he's obsessed with developing his team, speaks internationally at data science conferences and is genuinely a lovely bloke! The first real area of focus of this role will surround Natural Language Processing (NLP), Text Analytics, Deep Learning and Neural Networks. In time, they will be looking at Image Recognition, Computer Vision and the likes, however, due to the immature nature of the data set, they want to focus on a couple of key areas initially. The Tech: From a programming point of view, everything they do is Python based, so you will likely have experience of most of the following: NumPy, Pandas, SpaCY, Scikit-Learn and a few others. When it comes to Neural Networks, they will be mainly using TensorFlow, so any experience here would be a real bonus. NLP wise, they focus on Natural Language Process with Python (NLTK), so if you have experience here either professionally or in your own time, it will be a bonus. Otherwise, knowledge of the key principles of NLP would be helpful to make sense of everything. Location & Package: The role is in the heart of London's start-up scene, Shoreditch. You will be working in a bright, modern office space with likeminded people in an organisation who are really going places. From a package point of view, they offer contributory pension (like everyone else, it's the law now …); generous holiday allowance; brand new kit (any set-up you like); training budget - you'll be really encouraged to talk at meet-ups, undergo certifications and go to conferences and the usual softer benefits of working with a scale-up, drinks fridge, flexible working hours, breakout areas and exercise classes. Salary wise, they are very flexible for the right person. In practice, that means somewhere in the region of £55-60k for a more junior, but switched on Data Scientist (think PhD educated, or a Research position) all the way up to £95-100k for a seasoned Data Scientist ready for their next challenge. Click on the link below and contact Liam at Cathcart Associates for more information on the role & company.
X4 Group
X4 Group
Data Scientist - Natural Language Processing - Canary Warf - Contract I am currently working with a London client of mine who has opened up a fantastic new opportunity for Data Scientist on a Contract basis, to join their growing team of scientists and engineers. The Data Scientist will be working on a Natural Language Processing project for legal documents and be joining a team of technologists from a range of highly successfully academic and industry backgrounds. The role requires a Data Scientist to come on board for a minimum 3 month project. However the breadth of work available for the Scientist position is likely to offer the eventually successful candidate a great challenge. The type of Scientist background will include: Programming language: Python or similar such as R Machine Learning - Random Forests, Decision Trees Natural Language Processing problem - training machines to read documents where the output of the program is an entire new document You will be working in a well-funded start-up environment in the trading and Block Chain space. A PhD is highly preferable particularly in Computer Science, Natural Language today (06.02.19), and appointments made after. If this could be of interest please apply here, or call on
Feb 15, 2019
X4 Group
X4 Group
Data Scientist - Natural Language Processing - Canary Warf - Contract I am currently working with a London client of mine who has opened up a fantastic new opportunity for Data Scientist on a Contract basis, to join their growing team of scientists and engineers. The Data Scientist will be working on a Natural Language Processing project for legal documents and be joining a team of technologists from a range of highly successfully academic and industry backgrounds. The role requires a Data Scientist to come on board for a minimum 3 month project. However the breadth of work available for the Scientist position is likely to offer the eventually successful candidate a great challenge. The type of Scientist background will include: Programming language: Python or similar such as R Machine Learning - Random Forests, Decision Trees Natural Language Processing problem - training machines to read documents where the output of the program is an entire new document You will be working in a well-funded start-up environment in the trading and Block Chain space. A PhD is highly preferable particularly in Computer Science, Natural Language today (06.02.19), and appointments made after. If this could be of interest please apply here, or call on
Harnham
Harnham
Machine Learning Engineer - Natural Language Processing OXFORDSHIRE £40,000 - £90,000 INTRODUCTION We are working with an internationally recongised client based in Oxfordshire, who are looking to build out a team of NLP Research Data Scientists to help developing their current SaaS product offering. The problems are centred entirely around NLP, Sentiment Analysis and Deep Learning. THE COMPANY Our client are global leaders within academic publishing, but might just be on of the biggest companies you have never heard of! Off the back of their recent partnerships with major brands, they are looking to expand their Data Science team and further develop their product offering. THE ROLE This position is a good fit for all ranges of experience, but NLP and Deep Learning is at the core of the work. The challenge for anyone joining the team is to balance multiple porjects on the go simultaneously, all the way from Proof of Concept through to production. YOUR SKILLS AND EXPERIENCE As a Data Scientist the remit and requirements are as follows: A passion for Data Science and Machine Learning Strong development skills in Python or Java Experience in developing machine learning and deep learning solutions and products Deep understanding and experience in Text Mining and Natural Language Processing (NLP) Experience with Keras, TensorFlow, PyTorch, sklearn, liblinear, Weka, or OpenNLP etc. Proven ability to train, tune and evaluate ML models Academic background in Computer Science or Machine Learning related fields Team player who enjoys working collaboratively THE BENEFITS Competitive salary Contributory pension scheme Opportunity to grow in a fast-moving and dynamic organisation with like-minded colleagues. HOW TO APPLY To find out more about this opportunity and the other Data Science opportunities that we are representing at Harnham please apply via the link below or contact Mark Proud directly ()
Feb 15, 2019
Harnham
Harnham
Machine Learning Engineer - Natural Language Processing OXFORDSHIRE £40,000 - £90,000 INTRODUCTION We are working with an internationally recongised client based in Oxfordshire, who are looking to build out a team of NLP Research Data Scientists to help developing their current SaaS product offering. The problems are centred entirely around NLP, Sentiment Analysis and Deep Learning. THE COMPANY Our client are global leaders within academic publishing, but might just be on of the biggest companies you have never heard of! Off the back of their recent partnerships with major brands, they are looking to expand their Data Science team and further develop their product offering. THE ROLE This position is a good fit for all ranges of experience, but NLP and Deep Learning is at the core of the work. The challenge for anyone joining the team is to balance multiple porjects on the go simultaneously, all the way from Proof of Concept through to production. YOUR SKILLS AND EXPERIENCE As a Data Scientist the remit and requirements are as follows: A passion for Data Science and Machine Learning Strong development skills in Python or Java Experience in developing machine learning and deep learning solutions and products Deep understanding and experience in Text Mining and Natural Language Processing (NLP) Experience with Keras, TensorFlow, PyTorch, sklearn, liblinear, Weka, or OpenNLP etc. Proven ability to train, tune and evaluate ML models Academic background in Computer Science or Machine Learning related fields Team player who enjoys working collaboratively THE BENEFITS Competitive salary Contributory pension scheme Opportunity to grow in a fast-moving and dynamic organisation with like-minded colleagues. HOW TO APPLY To find out more about this opportunity and the other Data Science opportunities that we are representing at Harnham please apply via the link below or contact Mark Proud directly ()
Caspian One
Caspian One
Caspian One requires Data Scientists to work for a unique and well-established start-up organisation in the fintech and finance space. ideal candidates will be ambitious and innovative, looking forward to a challenge with a genuine passion for Data Science. You will work directly on a unique software platform which integrates project management tooling with data science and analytics to support large change and transformation programmes focused on helping Financial Services companies gain more value from their data. Financial Services organisations continue to waste huge sums of money and human capital on IT change projects. So little of the technology innovation that's revolutionising business models (AI, machine learning, behavioral science etc.) is actually being used to improve the delivery of change. This company is trying to make it increasingly possible to automate projects, combining technology, data and algorithms with highly engaged (but smaller) teams to massively increase project efficiency and the creation of real business value. In turn, this is saving clients millions and accelerating real business value. Essential Requirements: Hands-on Data Science experience (3-5 years is ideal) Machine Learning/Deep Learning Natural Language Processing, Bayesian Models and Neural networks Experienced using software such as R, Python, SQL, and Hadoop etc. Must be able to explain Data Science to non-technical stakeholders
Feb 15, 2019
Caspian One
Caspian One
Caspian One requires Data Scientists to work for a unique and well-established start-up organisation in the fintech and finance space. ideal candidates will be ambitious and innovative, looking forward to a challenge with a genuine passion for Data Science. You will work directly on a unique software platform which integrates project management tooling with data science and analytics to support large change and transformation programmes focused on helping Financial Services companies gain more value from their data. Financial Services organisations continue to waste huge sums of money and human capital on IT change projects. So little of the technology innovation that's revolutionising business models (AI, machine learning, behavioral science etc.) is actually being used to improve the delivery of change. This company is trying to make it increasingly possible to automate projects, combining technology, data and algorithms with highly engaged (but smaller) teams to massively increase project efficiency and the creation of real business value. In turn, this is saving clients millions and accelerating real business value. Essential Requirements: Hands-on Data Science experience (3-5 years is ideal) Machine Learning/Deep Learning Natural Language Processing, Bayesian Models and Neural networks Experienced using software such as R, Python, SQL, and Hadoop etc. Must be able to explain Data Science to non-technical stakeholders
Harnham
Machine Learning Engineer - Natural Language Processing OXFORDSHIRE £40,000 - £90,000 INTRODUCTION We are working with an internationally recongised client based in Oxfordshire, who are looking to build out a team of NLP Research Data Scientists to help developing their current SaaS product offering. The problems are centred entirely around NLP, Sentiment Analysis and Deep Learning. THE COMPANY Our client are global leaders within academic publishing, but might just be on of the biggest companies you have never heard of! Off the back of their recent partnerships with major brands, they are looking to expand their Data Science team and further develop their product offering. THE ROLE This position is a good fit for all ranges of experience, but NLP and Deep Learning is at the core of the work. The challenge for anyone joining the team is to balance multiple porjects on the go simultaneously, all the way from Proof of Concept through to production. YOUR SKILLS AND EXPERIENCE As a Data Scientist the remit and requirements are as follows: A passion for Data Science and Machine Learning Strong development skills in Python or Java Experience in developing machine learning and deep learning solutions and products Deep understanding and experience in Text Mining and Natural Language Processing (NLP) Experience with Keras, TensorFlow, PyTorch, sklearn, liblinear, Weka, or OpenNLP etc. Proven ability to train, tune and evaluate ML models Academic background in Computer Science or Machine Learning related fields Team player who enjoys working collaboratively THE BENEFITS Competitive salary Contributory pension scheme Opportunity to grow in a fast-moving and dynamic organisation with like-minded colleagues. HOW TO APPLY To find out more about this opportunity and the other Data Science opportunities that we are representing at Harnham please apply via the link below or contact Mark Proud directly ()
Feb 15, 2019
Harnham
Machine Learning Engineer - Natural Language Processing OXFORDSHIRE £40,000 - £90,000 INTRODUCTION We are working with an internationally recongised client based in Oxfordshire, who are looking to build out a team of NLP Research Data Scientists to help developing their current SaaS product offering. The problems are centred entirely around NLP, Sentiment Analysis and Deep Learning. THE COMPANY Our client are global leaders within academic publishing, but might just be on of the biggest companies you have never heard of! Off the back of their recent partnerships with major brands, they are looking to expand their Data Science team and further develop their product offering. THE ROLE This position is a good fit for all ranges of experience, but NLP and Deep Learning is at the core of the work. The challenge for anyone joining the team is to balance multiple porjects on the go simultaneously, all the way from Proof of Concept through to production. YOUR SKILLS AND EXPERIENCE As a Data Scientist the remit and requirements are as follows: A passion for Data Science and Machine Learning Strong development skills in Python or Java Experience in developing machine learning and deep learning solutions and products Deep understanding and experience in Text Mining and Natural Language Processing (NLP) Experience with Keras, TensorFlow, PyTorch, sklearn, liblinear, Weka, or OpenNLP etc. Proven ability to train, tune and evaluate ML models Academic background in Computer Science or Machine Learning related fields Team player who enjoys working collaboratively THE BENEFITS Competitive salary Contributory pension scheme Opportunity to grow in a fast-moving and dynamic organisation with like-minded colleagues. HOW TO APPLY To find out more about this opportunity and the other Data Science opportunities that we are representing at Harnham please apply via the link below or contact Mark Proud directly ()
Caspian One
Caspian One requires Data Scientists to work for a unique and well-established start-up organisation in the fintech and finance space. ideal candidates will be ambitious and innovative, looking forward to a challenge with a genuine passion for Data Science. You will work directly on a unique software platform which integrates project management tooling with data science and analytics to support large change and transformation programmes focused on helping Financial Services companies gain more value from their data. Financial Services organisations continue to waste huge sums of money and human capital on IT change projects. So little of the technology innovation that's revolutionising business models (AI, machine learning, behavioral science etc.) is actually being used to improve the delivery of change. This company is trying to make it increasingly possible to automate projects, combining technology, data and algorithms with highly engaged (but smaller) teams to massively increase project efficiency and the creation of real business value. In turn, this is saving clients millions and accelerating real business value. Essential Requirements: Hands-on Data Science experience (3-5 years is ideal) Machine Learning/Deep Learning Natural Language Processing, Bayesian Models and Neural networks Experienced using software such as R, Python, SQL, and Hadoop etc. Must be able to explain Data Science to non-technical stakeholders
Feb 15, 2019
Caspian One
Caspian One requires Data Scientists to work for a unique and well-established start-up organisation in the fintech and finance space. ideal candidates will be ambitious and innovative, looking forward to a challenge with a genuine passion for Data Science. You will work directly on a unique software platform which integrates project management tooling with data science and analytics to support large change and transformation programmes focused on helping Financial Services companies gain more value from their data. Financial Services organisations continue to waste huge sums of money and human capital on IT change projects. So little of the technology innovation that's revolutionising business models (AI, machine learning, behavioral science etc.) is actually being used to improve the delivery of change. This company is trying to make it increasingly possible to automate projects, combining technology, data and algorithms with highly engaged (but smaller) teams to massively increase project efficiency and the creation of real business value. In turn, this is saving clients millions and accelerating real business value. Essential Requirements: Hands-on Data Science experience (3-5 years is ideal) Machine Learning/Deep Learning Natural Language Processing, Bayesian Models and Neural networks Experienced using software such as R, Python, SQL, and Hadoop etc. Must be able to explain Data Science to non-technical stakeholders
X4 Group
Data Scientist - Natural Language Processing - Canary Warf - Contract I am currently working with a London client of mine who has opened up a fantastic new opportunity for Data Scientist on a Contract basis, to join their growing team of scientists and engineers. The Data Scientist will be working on a Natural Language Processing project for legal documents and be joining a team of technologists from a range of highly successfully academic and industry backgrounds. The role requires a Data Scientist to come on board for a minimum 3 month project. However the breadth of work available for the Scientist position is likely to offer the eventually successful candidate a great challenge. The type of Scientist background will include: Programming language: Python or similar such as R Machine Learning - Random Forests, Decision Trees Natural Language Processing problem - training machines to read documents where the output of the program is an entire new document You will be working in a well-funded start-up environment in the trading and Block Chain space. A PhD is highly preferable particularly in Computer Science, Natural Language today (06.02.19), and appointments made after. If this could be of interest please apply here, or call on
Feb 15, 2019
X4 Group
Data Scientist - Natural Language Processing - Canary Warf - Contract I am currently working with a London client of mine who has opened up a fantastic new opportunity for Data Scientist on a Contract basis, to join their growing team of scientists and engineers. The Data Scientist will be working on a Natural Language Processing project for legal documents and be joining a team of technologists from a range of highly successfully academic and industry backgrounds. The role requires a Data Scientist to come on board for a minimum 3 month project. However the breadth of work available for the Scientist position is likely to offer the eventually successful candidate a great challenge. The type of Scientist background will include: Programming language: Python or similar such as R Machine Learning - Random Forests, Decision Trees Natural Language Processing problem - training machines to read documents where the output of the program is an entire new document You will be working in a well-funded start-up environment in the trading and Block Chain space. A PhD is highly preferable particularly in Computer Science, Natural Language today (06.02.19), and appointments made after. If this could be of interest please apply here, or call on