976 to 1,000 of 5,283 Data Science Jobs in the UK

intelligent assistants for traders and business users Technical Architecture & Implementation Architect and implement RAG pipelines for knowledge retrieval from structured and unstructured financial data sources Design and optimise vector databases and embedding strategies for efficient information retrieval Develop prompt engineering frameworks and fine‐tuning strategies for domain‐specific … applications Build multi‐agent systems that can collaborate to solve complex financial problems Implement guardrails, validation frameworks, and monitoring systems for AI applications Data Engineering & Integration Design and build data pipelines to support AI/ML workflows, integrating market data, trade data, and research content Develop ...

team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting‐edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state‐of‐the‐art in AI as applied … disability needs. We are looking for an outstanding Machine Learning Engineer to help us deliver maximum value on this opportunity. Job responsibilities Build robust Data Science capabilities which can be scaled across multiple business use cases Collaborate with software engineering team to design and deploy Machine Learning services ...

case, evaluating technical feasibility, vendor capability, total cost of ownership, and time-to-value, then manage the chosen delivery path to completion. Work with data science and ML engineers, managing them to defined milestones and value targets. Monitor deployed solutions and manage model performance, iteration, and stakeholder reporting. … senior leadership and the AI Steering Committee. Build governance routines to review adoption progress, unblock friction points, and adjust rollout plans based on data and feedback. Create executive-ready dashboards and recommendations showing progress against delivery, adoption, and business impact goals. Emerging Capabilities & Continuous Improvement Stay current on emerging ...

sure that we focus our efforts on accelerating significant assets that meet patients' needs and have the highest probability of success. We're uniting science, technology, and talent to get ahead of disease together. Find out more: Our approach to R&D Position Summary You will lead decision analytics … clinical operations across global studies. You will design and deliver data-driven tools, models and insights that improve trial planning, execution and resource use. You will work closely with clinical operations, data science, biostatistics and technology partners. We value clear thinkers who lead with empathy, communicate simply ...

OVERVIEWPURPOSE OF JOBAs JTC enters the Genesis era of growth and transformation under private equity ownership, the Group's ambition is to become a data- and AI-powered specialist-services platform where every interaction, acquisition and piece of expertise makes the firm smarter, more efficient and easier to scale. … Director, AI Engineering leads the AI Engineering & Data Science function within the unified Tech-Ops operating model, the engineering engine room that turns JTC's AI & Agentic Strategy 2030 into working, governed and value-generating systems.The postholder will build and lead the team responsible for AI/ ...

OVERVIEWPURPOSE OF JOBAs JTC enters the Genesis era of growth and transformation under private equity ownership, the Group's ambition is to become a data- and AI-powered specialist-services platform where every interaction, acquisition and piece of expertise makes the firm smarter, more efficient and easier to scale. … Director, AI Engineering leads the AI Engineering & Data Science function within the unified Tech-Ops operating model, the engineering engine room that turns JTC's AI & Agentic Strategy 2030 into working, governed and value-generating systems. The postholder will build and lead the team responsible for AI/ ...

Overview We are seeking a talented and detail‐oriented Applied AI Engineer to join our Global Data Science team and help internal technology and commercial teams adopt CCI’s approved AI tooling effectively. The ideal candidate will combine technical fluency, strong communication skills, and practical experience using … advancements in applied AI, context engineering, enterprise copilots, agentic workflows, RAG, and AI evaluation methods. Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Information Systems, Business Analytics, Economics, Mathematics, or a related technical or quantitative field. 2+ years of experience in data ...

seeking a talented and detail-oriented Applied AI Engineer to join our Global Data Science team and help internal technology and commercial teams adopt CCI’s approved AI tooling effectively. The ideal candidate will combine technical fluency, strong communication skills, and practical experience using AI to improve real … practical advancements in applied AI, context engineering, enterprise copilots, agentic workflows, RAG, and AI evaluation methods.QualificationsBachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Information Systems, Business Analytics, Economics, Mathematics, or a related technical or quantitative field.2+ years of experience in data analytics ...

agents for tracing, metrics, and feedback loops. Partner with stakeholders to define requirements, design intuitive human‐AI interfaces, and deliver measurable business impact. Analyze data to inform agent capabilities, optimize retrieval, and drive data‐driven decision‐making; conduct A/B tests and performance evaluations. Mentor and guide … team members on agent frameworks, LLM usage, safety, and best practices. Required Qualifications, Capabilities, and Skills: Advanced degree in Computer Science, Data Science, Machine Learning, or related field. Experience building and deploying agentic AI applications in production environments. Expertise with ML frameworks such as PyTorch, TensorFlow ...

seeking a talented and detail-oriented Applied AI Engineer to join our Global Data Science team and help internal technology and commercial teams adopt CCI's approved AI tooling effectively. The ideal candidate will combine technical fluency, strong communication skills, and practical experience using AI to improve real … practical advancements in applied AI, context engineering, enterprise copilots, agentic workflows, RAG, and AI evaluation methods. QualificationsBachelor's or Master's degree in Computer Science, Data Science, Engineering, Information Systems, Business Analytics, Economics, Mathematics, or a related technical or quantitative field.2+ years of experience in data ...

team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied … team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. Job responsibilitiesBuild robust Data Science capabilities which can be scaled across multiple business use casesCollaborate with software engineering team to design and deploy Machine Learning services that ...

current with AI/ML advancements and apply relevant techniques to business problemsRequired Qualifications, Capabilities, and Skills:Bachelor’s or Master’s degree in Data Science, Computer Science, Artificial Intelligence, or a related field (or equivalent experience)Strong foundation in AI/ML concepts and practical experience … with data analysis, feature engineering, and model developmentExperience working with large, complex datasets and applying statistical analysisHands-on experience training, deploying, and maintaining machine learning models in production environmentsProficiency in Python and relevant AI/ML libraries (such as scikit-learn, TensorFlow, PyTorch)Experience with MLOps practices and tools ...

with AI/ML advancements and apply relevant techniques to business problems Required Qualifications, Capabilities, And Skills Bachelor's or Master's degree in Data Science, Computer Science, Artificial Intelligence, or a related field (or equivalent experience) Strong foundation in AI/ML concepts and practical experience … with data analysis, feature engineering, and model development Experience working with large, complex datasets and applying statistical analysis Hands-on experience training, deploying, and maintaining machine learning models in production environments Proficiency in Python and relevant AI/ML libraries (such as scikit-learn, TensorFlow, PyTorch) Experience with MLOps ...

enjoy opportunities for leading, coaching, and mentoring more junior ML Engineers. Key Responsibilities: Report and communicate with Senior Stakeholders, such as the Head of Data Science and Machine Learning and Director of Technical Underwriting Propose, proof-of-concept, develop, and deliver novel machine learning processes that automate current … manual processes, and leverage DevOps and MLOps software. Work in a collaborative environment with data science to help deploy machine learning methods that are state-of-the-art, robust, and future extensible. Tune machine learning methods for optimal performance. Deploy and maintain machine learning methods in our machine ...

largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the job you are considering Capgemini’s Insights & Data practice helps leading organizations harness data and Artificial Intelligence to drive innovation, efficiency, and business transformation. As organizations accelerate adoption of Generative … prompt engineering, embeddings, orchestration frameworks, and security controls. Develop solutions on cloud platforms including Azure, AWS, and Google Cloud Platform, utilizing modern AI and data services. Collaborate with architects, data scientists, software engineers, and business stakeholders throughout the project lifecycle. Provide technical leadership on AI solution architecture, best ...

About Neo4j:Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment … data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter.Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results ...

shaping them into funded workstreamsRepresents the AIML team in firm-wide AI/ML governance and engineering forums; ensures cross-border, regulatory, and data-privacy considerations are reflected in solution designContributes to the team's GenAI education programme through training content, knowledge-sharing sessions, and mentoring of junior engineers … Language Models, including prompt engineering, RAG, fine-tuning, agentic frameworks, skills.Demonstrated experience delivering system design, application development, testing, and operational stability for ML or data-intensive systemsStrong communication skills with confidence engaging senior business stakeholders and translating technical concepts for non-technical audiencesExperience applying new methods to determine solutions ...

Will DoAs Business Intelligence Manager within Commercial Operations & Enablement, EMEA, you will build and lead a scalable business intelligence capability that transforms commercial data into actionable insights. Reporting to the Head of Data Analytics & Digital Tools, you will partner with Sales, Service, Marketing, Finance, Digital, IT and regional … commercial performance, forecasting accuracy, sales productivity and decision-making. This is a high-impact, matrix leadership role supporting EMEA growth through analytics, reporting governance, data quality, automation and AI-enabled insights. Travel may be required across the EMEA region.What We OfferCompetitive salary plus bonus plan25 days holiday plus bank ...

Will DoAs Business Intelligence Manager within Commercial Operations & Enablement, EMEA, you will build and lead a scalable business intelligence capability that transforms commercial data into actionable insights. Reporting to the Head of Data Analytics & Digital Tools, you will partner with Sales, Service, Marketing, Finance, Digital, IT and regional … commercial performance, forecasting accuracy, sales productivity and decision-making. This is a high-impact, matrix leadership role supporting EMEA growth through analytics, reporting governance, data quality, automation and AI-enabled insights. Travel may be required across the EMEA region.What We OfferCompetitive salary plus bonus plan25 days holiday plus bank ...

Will DoAs Business Intelligence Manager within Commercial Operations & Enablement, EMEA, you will build and lead a scalable business intelligence capability that transforms commercial data into actionable insights. Reporting to the Head of Data Analytics & Digital Tools, you will partner with Sales, Service, Marketing, Finance, Digital, IT and regional … commercial performance, forecasting accuracy, sales productivity and decision-making. This is a high-impact, matrix leadership role supporting EMEA growth through analytics, reporting governance, data quality, automation and AI-enabled insights. Travel may be required across the EMEA region.What We OfferCompetitive salary plus bonus plan25 days holiday plus bank ...

agents for tracing, metrics, and feedback loops. Partner with stakeholders to define requirements, design intuitive human-AI interfaces, and deliver measurable business impact. Analyze data to inform agent capabilities, optimize retrieval, and drive data-driven decision-making; conduct A/B tests and performance evaluations. Mentor and guide … team members on agent frameworks, LLM usage, safety, and best practices. Required Qualifications, Capabilities, and Skills Advanced degree in Computer Science, Data Science, Machine Learning, or related field. Experience building and deploying agentic AI applications in production environments. Expertise with ML frameworks such as PyTorch, TensorFlow ...

Talan Data x AI is a leading Data Management and Analytics consultancy, working closely with leading software vendors and top industry experts across a range of sectors, unlocking value and insight from their data. At Talan Data x AI, innovation is at the heart of our client … heart of everything we do, and we have been recertified as a 2025 Great Place to Work®. This achievement not only highlights Talan Data x AI’s positive organisational culture but also strengthens its reputation as an employer of choice within the industry. We invest heavily ...

This role is a strategic leadership position responsible for transforming vendor management into a data‐driven, digitally enabled function. The Senior Manager will own the design and execution of automation, data architecture, and advanced analytics initiatives to enhance commercial visibility, operational scalability and decision‐making across the vendor … ecosystem. The position requires a combination of vendor management domain expertise, strong data and systems capability, and the ability to lead cross‐functional digital transformation initiatives at a regional or global level. Key Responsibilities Digital Strategy and Transformation Leadership Define and execute the digital transformation roadmap for vendor management ...

focus on building and deploying machine learning models to drive analytics and decision-making. You'll play a vital role in shaping data-driven strategies that contribute to the organisation's success. Client Details Lead AI/ML Engineer Our client is a leading UK organisation undergoing an ambitious … data and AI transformation. Operating across multiple locations, they are investing heavily in modern analytics, machine learning and predictive modelling capabilities to support smarter decision-making and long-term business growth. Description Lead AI/ML Engineer Engage with business stakeholders to understand operational and commercial challenges and translate ...

Join Thames Water's multidisciplinary System Insights team and help shape the water industry's biggest-ever investment programme. Using GIS, spatial analytics and data-driven insight, you'll influence how we invest billions of pounds in critical infrastructure, helping create more resilient wastewater systems while delivering lasting benefits … customers, communities and the environment. Working alongside hydraulic modellers, data analysts, engineers and environmental specialists, you'll help build the evidence that underpins major strategic programmes, including our Drainage and Wastewater Management Plans and Price Reviews. This is a unique opportunity to see your work directly inform future investment ...