1,876 to 1,900 of 2,229 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 ...

multi-objective ranking, sequential user modeling, and graph-based travel recommendations, while mentoring a team of scientists. You will collaborate with Product, Engineering, and Data Science to deliver scalable, low-latency pipelines, driver frameworks, and A/B testing practices that optimize engagement and #J-18808-Ljbffr ...

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 ...

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 ...

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 ...

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 ...

Black Box Ad EmpireABC7 News: The State of Children's Privacy OnlineNBC News: How many apps are tracking your childrenOur team of lawyers, data scientists, engineers, economists, and researchers spans globally with presence in California, New York, Washington, DC, London, and Singapore.Role OverviewAt Pixalate, we are building technology products ...

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, production … experience moving models from experimentation into production with appropriate governance and quality controlsHands-on experience with MLOps tooling such as MLflow, Weights & Biases or Data Version ControlPractical experience building LLM/GenAI applications, including prompt engineering and retrieval-augmented generation (RAG)Familiarity with LLMOps frameworks such as LangChain, LangSmith ...

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 ...

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.RESPONSIBILITIESAs 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, agile ...

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 ...

advanced AI solutions within financial services and capital markets environments.This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping … strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment.You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes.Key responsibilities:·Translating ...

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 … 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 ...

keep our customers’ needs at the centre of every decision while building effective controls that help Wise onboard businesses safely and compliantly. We use data, research, customer feedback and operational insights to identify the most important problems, reduce unnecessary friction and strengthen our verification processes.At Wise, teams have … code quality.What do you need A strong product mindset and passion for user experience, you prioritise work with the customers in mind and make data-driven decisions to fix customer pain-pointsExperience of Java or other JVM based language, experience with Spring framework and deep understanding of JDBC ...

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 ...

largest and most demanding organisations on the planet to build the next generation of AI-powered enterprise applications. You will work directly with data scientists, software engineers, and subject matter experts to define new analytics capabilities that give our customers the information they need to make decisions under pressure … needs.Drive product improvement. Work closely with product management and engineering to improve the overall quality of C3 AI software.QualificationsMSc or Bachelor’s degree in Science, Technology, Engineering, or Mathematics (STEM), or a comparable area of study.5+ years of professional software development experience with object-oriented programming languages.Strong verbal ...

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 ...

bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before. Learn more at geniussports.com. The Role You will join one of our established high … work? Join a specially formed, highly skilled team delivering an innovative & intelligent product! Forming part of a multi-disciplinary Agile team of Software Engineers, Data Scientists, QA Engineers and a Product Manager, you will look to work closely to the fundamental principles of continuous delivery and empowered, high-performing ...

Learning Engineer to design, develop, and deploy production-ready machine learning solutions that make a genuine impact across defence, government, and national security.Working alongside Data Scientists, Software Engineers, and AI specialists, you'll take projects from experimentation through to production, leveraging modern MLOps and LLMOps practices … PyTorchTensorFlowScikit-learnXGBoostExperience deploying ML solutions on AWS, including services such as SageMaker, Lambda, and S3.Strong understanding of MLOps tooling, including MLflow, Weights & Biases, or Data Version Control (DVC).Experience developing LLM or Generative AI applications, including RAG architectures and prompt engineering.Knowledge of LLMOps frameworks such as LangChain, LangGraph ...