1,601 to 1,625 of 1,970 Data Science Jobs in the UK

Closing Date Monday, 10th August 2026 Start Date Monday, 17th August 2026 Desired Skills IT skills About the Employer Hyperfinity Ltd Hyperfinity use data science and AI to help retailers make profitable pricing, marketing and retail media decisions. Put simply, they help retailers sell the right products ...

Most "Head of AI" job titles are a data science team with a fancy name bolted on top. This one isn't. This is an AI-native indirect tax platform, still small enough that one person's thinking genuinely shapes what the product becomes. Not "AI strategy ...

Hire, Insurance and a building a compelling advertising + media offering. You’ll join a cross functional leadership team of product, engineering, commercial and data science leaders who’s mission it is to turn Trainline’s New Business ambition from vision into live propositions. You will be responsible ...

Forward Deployed Engineer to design, develop, and deploy full‐stack AI-driven applications on the C3 AI Platform. You will work directly with customers, data scientists, and engineers to deliver production-ready solutions and proofs-of-technology. You will join frontline projects in UK and European defence, contributing ...

Motion Applied are seeking a Platform Engineer to help build the Fleet Connect cloud infrastructure and drive secure, scalable systems. You will work with Data Scientists, Software Engineers, Test Engineers, SREs and Systems Engineers to deliver robust platforms. Based in Woking, this hybrid role requires collaboration across teams ...

requirements and technical execution alongside the AI Delivery Manager and AI Product Owner, providing architectural oversight and mentoring a team of AI engineers and data scientists. You will design robust agentic systems, build scalable LLMOps pipelines with Vertex AI, and ensure enterprise-grade safety and governance while enabling other ...

doing something you are passionate about. My client is based in London. Skills Needed Java, C++, Erlang, F#, Scala , Haskell, Django, Python, Twisted, NoSQL, Data Science... ``` #J-18808-Ljbffr ...

distillation; leverage batching, streaming, and parallel tool-calls to meet stringent SLOs under real-world load. Build a RAG pipeline: Curate domain-knowledge; build data-quality validation framework; establish feedback loops and milestone framework maintain knowledge freshness. Raise the bar: Drive design reviews, experiment rigor, and high-quality engineering … peers on agent architectures, evaluation methodologies, and safe deployment patterns. Qualifications A Bachelor's degree (Masters/PhD preferred) in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline), with 5+ years of experience as an applied data scientist/machine learning engineer. ...

possible with our colleagues across the company to deliver true business value in an agile fashion. We are a group of engineers (Software, Data, Quality, Platform), data scientists and agile practitioners. We organise ourselves into chapters according to these professional disciplines. You would be joining our Software Engineering ...

scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets . RESPONSIBILITIES As a software engineer … position on the cutting edge. Or, join our core engineering teams, and elevate all of our businesses by providing reliable, scalable platforms for data engineering, machine learning, networking, developer tooling, collaboration and more. Innovate with UI/UX designers, data scientists, cloud engineers, and more in a collaborative ...

Overview The Applied Innovation (of AI) Engineering team is an elite machine learning group strategically located within the Chief Data Analytics Office (CDAO) Technology group of JPMorgan Chase. AI Engineering tackles business critical priorities using innovative machine learning techniques and technologies with a focus on machine learning for Software … long-term projects in these areas that require significant machine learning development to support JPMorgan Chase businesses as they grow. Responsibilities Collaborates with engineers, data scientists, and product owners, to deliver products to production. Builds and maintains data pipelines for analytics, model evaluation, and training (includes versioning, compliance ...

scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets . As a software engineer … position on the cutting edge. Or, join our core engineering teams, and elevate all of our businesses by providing reliable, scalable platforms for data engineering, machine learning, networking, developer tooling, collaboration and more. Innovate with UI/UX designers, data scientists, cloud engineers, and more in a collaborative ...

scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets . RESPONSIBILITIES As a software engineer … position on the cutting edge. Or, join our core engineering teams, and elevate all of our businesses by providing reliable, scalable platforms for data engineering, machine learning, networking, developer tooling, collaboration and more. Innovate with UI/UX designers, data scientists, cloud engineers, and more in a collaborative ...

machine learning models, natural language processing (NLP), knowledge representation, and reasoning techniques.Integrate AI agents with existing JD.com systems and platforms, ensuring seamless functionality and data flow.Conduct research and experimentation with new AI paradigms and technologies to continuously improve agent performance and capabilities.Collaborate with product managers, data scientists … ensuring high accuracy, reliability, and scalability.Contribute to the development of internal AI frameworks, tools, and best practices.Job Qualifications**Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Robotics, or a related quantitative field.Proven experience (3+ years) in designing and implementing AI agents or intelligent systems.Strong proficiency ...

that support rapid experimentation while meeting production standards for latency, scale, monitoring, SLOs, playbooks, and operational excellence. Partner closely with ML engineers, product engineers, data scientists, and platform teams across DoorDash, Wolt, and the company to turn emerging GenAI capabilities into durable platform primitives. Shape the future … next generation of AI-powered products, agents, automation, and personalization. We’re excited about you because you have... BSc, MSc, or PhD in Computer Science or equivalent 3+ years of industry experience in software engineering Strong backend engineering fundamentals, especially in Python and distributed systems. Experience building production services ...

Central is seeking a Senior Data Scientist to turn complex data into actionable insights and deliver innovative solutions that drive business value and strategic decision‐making. You will develop data services, apply deep learning and ML, perform data analysis, and collaborate across teams to implement data ...

production-ready AI solutions that solve complex business challenges? We're looking for a Senior Consultant – AI Enginee r to join a growing AI & Data practice delivering cutting-edge AI, machine learning and Generative AI solutions for leading financial services organisations. This is an opportunity to work on high … rapid prototyping through to enterprise-scale implementation . What you'll be doing As a Senior Consultant, you'll work alongside AI Engineers, Data Scientists, Architects and client stakeholders to deliver innovative AI products and solutions across the Banking sector. You'll be responsible for: Designing and delivering ...

Lithe Consulting Ltd is a fast-growing international consultancy specialising in data, AI and advanced analytics for major financial institutions. The Senior Data Scientist/Analyst will join a global banking client’s developer experience team to turn raw data into insights that drive strategic decisions. … role blends data engineering and analytics, with a focus on building robust pipelines, applying advanced statistics, and delivering strategic reporting. #J-18808-Ljbffr ...

Senior Product Data Scientist London (Hybrid, 2-3 days per week) | £110,000 - £125,000 + Benefits If you're excited by the challenge of understanding how people interact with AI, this is a rare opportunity to work on a product where your insights genuinely shape what gets built … next. You'll be working with large-scale conversation and text data, helping teams understand what delivers value for users and where AI experiences can be improved. The Company This fast-growing technology business is building AI-native products used by enterprise customers around the world. They ...

London A leading business is expanding its team and looking to bring in several Machine Learning Engineers . You'll help design and deploy data pipelines, ML models, and production systems that deliver real-time insights and automation throughout the business. This role is ideal for someone with strong … software engineering fundamentals, hands-on data experience, and a passion for building scalable, high-quality ML and data solutions in production environments. Essential Experience Strong programming skills in Python (Pandas, NumPy, etc.). Proficiency in SQL for data querying and transformation. Hands-on experience with Machine Learning ...

Engineer to join a growing team responsible for building, deploying, and maintaining scalable machine learning solutions on Microsoft Azure. You will work closely with Data Scientists, DevOps Engineers, Architects, and Software Developers to deliver reliable, secure, and automated MLOps platforms supporting large-scale data processing and production … scalability, performance, and cost efficiency. Implement automated deployment and scaling strategies. Manage Azure cloud resources supporting ML workloads. Ensure security, governance, and compliance with data protection standards. Manage data pipelines, storage, versioning, and lineage. Collaborate with cross-functional teams to support end-to-end ML life cycle management. ...

dunnhumby is the global leader in Customer Data Science, partnering with the world's most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value ...

dunnhumby is the global leader in Customer Data Science, partnering with the world's most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value ...

dunnhumby is the global leader in Customer Data Science, partnering with the world's most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value ...

Fraud, Trust & Safety, and Integrity product area for an international marketplace. The role combines strategy, leadership, and cross-functional collaboration across legal, compliance, operations, data science, and engineering. You will own the product vision, drive a multi-year roadmap, and converge global risk signals with regional nuances ...