951 to 975 of 1,178 Data Science Jobs in London

quality. This hands-on leadership role requires sound judgment, creative problem-solving, and adaptability to changing conditions, while partnering with account teams, platform owners, data science teams, #J-18808-Ljbffr ...

weight-management ecosystem, and is looking for a senior fullstack engineer to shape features across web and mobile. You will work closely with Data Science and product teams to design scalable solutions using React and Go/Node.js in a fast-paced environment. You will contribute to frontend ...

Naver. You will develop scalable frameworks for campaign management and lead AI-powered workflows across global markets. You will partner with Product, Engineering, Data Science and Operations to define roadmaps, translate business goals into technical solutions, and mentor teammates to drive growth and efficiency in a fast-paced ...

Customer Experience across our global platforms. You will lead a team of Product Managers responsible for AI-enabled customer experiences, partnering with Engineering, Design, Data Science, and Operations to deliver scalable solutions across regions. This role requires 7+ years in Product Management, 2-3+ years leading ...

Data Science Festival is seeking a Staff Software Security Engineer to join their London team. This hybrid position offers a salary of up to £135,000 and the chance to work on innovative AI-driven products. In this role, you will implement security initiatives across engineering teams, work ...

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 ...

operationalise advanced machine learning solutions that directly support UK national security objectives. This role sits within a multidisciplinary AI engineering environment, working closely with Data Scientists, Software Engineers, Product teams and government stakeholders. The Senior ML Engineer will own the journey from experimentation and hypothesis testing through to secure … moving models from experimentation into production with appropriate governance and quality controls Hands-on experience with MLOps tooling such as MLflow, Weights & Biases or Data Version Control Practical experience building LLM/GenAI applications, including prompt engineering and retrieval-augmented generation (RAG) Familiarity with LLMOps frameworks such as LangChain ...

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 . 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 ...

production standards for latency, scale, monitoring, SLOs, playbooks, and operational excellence. Partner closely with - and raise the technical bar for - ML engineers, product engineers, data scientists, and platform teams across DoorDash, Wolt, and Deliveroo to turn emerging GenAI capabilities into durable platform primitives. Set technical direction for the future … enabling the next generation of AI-powered products, agents, automation, and personalisation. We're excited about you because... BSc, MSc or PhD in Computer Science or equivalent 5+ years of industry experience in software engineering Deep backend engineering fundamentals, especially in Python and distributed systems. Track record of designing ...

Docker, Kubernetes, Elastic Container Service, or equivalent technologies in production environments Strong experience designing and implementing application programming interfaces, distributed systems, event‐driven architectures, data pipelines, PostgreSQL, MongoDB, Redis, vector databases, observability, and automated deployment pipelines Demonstrated ability to influence technical direction while remaining close to the codebase, mentoring … risk awareness, ethical use, governance, evaluation, monitoring, and continuous improvement of AI‐enabled products and services Education Bachelor’s degree or higher in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field, or equivalent practical experience Responsibilities Design, code, and lead delivery of scalable AI platforms ...

Docker, Kubernetes, Elastic Container Service, or equivalent technologies in production environments - Strong experience designing and implementing application programming interfaces, distributed systems, event-driven architectures, data pipelines, PostgreSQL, MongoDB, Redis, vector databases, observability, and automated deployment pipelines - Demonstrated ability to influence technical direction while remaining close to the codebase, mentoring … risk awareness, ethical use, governance, evaluation, monitoring, and continuous improvement of AI-enabled products and services Education - Bachelor's degree or higher in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field, or equivalent practical experience Responsibilities Design, code, and lead delivery of scalable AI platforms ...

Docker, Kubernetes, Elastic Container Service, or equivalent technologies in production environments - Strong experience designing and implementing application programming interfaces, distributed systems, event-driven architectures, data pipelines, PostgreSQL, MongoDB, Redis, vector databases, observability, and automated deployment pipelines - Demonstrated ability to influence technical direction while remaining close to the codebase, mentoring … risk awareness, ethical use, governance, evaluation, monitoring, and continuous improvement of AI-enabled products and services Education - Bachelor's degree or higher in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field, or equivalent practical experience Responsibilities Design, code, and lead delivery of scalable AI platforms ...

Engineer London (Hybrid - 3x a week) The Company They are a large, data-driven organisation investing heavily in artificial intelligence and advanced analytics. Their AI team is focused on building innovative solutions that improve business operations, enhance customer experiences, and drive measurable commercial value. With access to large … Python code and contribute to cloud-native applications and services. Apply MLOps best practices, including CI/CD, containerisation, monitoring and observability. Partner with data scientists, engineers and business stakeholders to translate business challenges into impactful AI solutions. Monitor, evaluate and improve deployed models while ensuring responsible, secure ...

secure, cloud-native platforms. This is a hands-on engineering role suited to someone who enjoys solving technically challenging problems and working closely with data scientists, software engineers, and security specialists. WE NEED THE AI SOFTWARE ENGINEER TO HAVE. Active UKSV DV clearance Strong software engineering background with Python … HAVE. Experience with RAG pipelines and vector databases Knowledge of MLOps tooling and CI/CD pipelines Exposure to Palantir Foundry or similar data platforms Experience working on National Security or Defence programmes TO BE CONSIDERED. Please either apply by clicking online or emailing me directly at . ...

Funding Circle is expanding its Data Product team in London, aiming to strengthen our data-driven decision making across risk, marketing and operations. You will collaborate with data engineers, analytics engineers and data scientists to build scalable data products and datasets. You will guide senior … stakeholders, coach juniors, and drive strategic development of Data Products, ensuring value is delivered through cutting-edge data solutions. #J-18808-Ljbffr ...

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 ...

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 ...

will build secure, scalable platforms and applications that accelerate experimentation while meeting high engineering standards. You will partner closely with AI Researchers and Data Scientists to move prototypes into optimized, reliable solutions. You will grow your influence by mentoring others and helping shape team practices. You will join … team that values collaboration, inclusion, and continuous improvement. As a Software Engineer III in AI and Machine Learning Data Platforms, you will deliver critical technology solutions that support the firm’s business objectives. You will work directly with AI Research and the Machine Learning Center of Excellence to advance ...

hackajob is partnering directly with Dunnhumby to hire for this role. 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 ...

hackajob is partnering directly with Dunnhumby to hire for this role. 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 ...

leads marketplace end-to-end—from matching homeowners to trades, to monetisation and the Opportunity Board. You will set the vision, work with Data Science and engineering, and drive pricing, packaging, and growth with a two-sided marketplace. If you bring extensive senior product experience and a track ...

core product area end to end. You will manage the backlog, run discovery, write clear specs, and collaborate with Engineering, Design, Data Science, Risk and commercial teams to ship products customers love and the business can rely on. This hands-on, high-impact role exists in a fast ...

routing optimisation in London. You’ll lead a high‐impact squad, shape technical direction, and drive scalable, production‐grade systems. You’ll work with data scientists, product, and operations, mentoring engineers and raising engineering standards while delivering real‐world improvements to the city’s delivery network. #J-18808-Ljbffr ...