276 to 300 of 313 Data Science Jobs in London

customers, and with your fellow content designers, how to leverage AI as part of your design toolkit. You’ll collaborate with your design, data science, product, and engineering partners to set the vision and strategy, and coach teams to deliver it. You’ll be influential in your product ...

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 AI architecture … 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 ...

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 ...

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 … 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-points Experience of Java or other JVM based language, experience with Spring framework and deep understanding of JDBC ...

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 . ...

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 ...

assistants, conversational applications, retrieval-augmented generation, semantic search, intelligent document processing, computer vision and workflow automation solutions. Integrate AI capabilities with enterprise applications, APIs, data platforms, security controls and operational workflows. Balance customer value, functionality, speed, scalability, cost, security and technical complexity. Forward-Deployed Customer Engineering Work directly with … customers to diagnose ambiguous and mission-critical business or operational problems. Adapt and extend AI products within customer environments, including integration with proprietary data, systems and workflows. Collaborate with customer stakeholders from discovery through implementation, testing, launch and adoption. Build practical solutions rapidly while maintaining engineering, security and governance ...

usable product. This is a rare opportunity to apply genuine SNN experience to production software with direct operational applications. You will work alongside Researchers, Data Scientists and Engineers on SNNs, machine vision, synthetic training data and related CNN or Transformer-based projects. The position is predominantly office ...

experienced Machine Learning Engineer to develop cutting-edge AI, Machine Learning and Generative AI solutions that deliver real-world impact. Working alongside Data Scientists, Software Engineers and stakeholders, you'll help shape and deploy scalable ML solutions, taking projects from experimentation through to production while helping organisations unlock … Scikit-learn or XGBoost Knowledge of AWS cloud services including SageMaker, Lambda and S3 Experience with MLOps tools such as MLflow, Weights & Biases or Data Version Control Experience designing, testing and evaluating machine learning experiments Knowledge of Generative AI, LLMs, prompt engineering and RAG architectures Experience with LLMOps tools ...

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 … Experience 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 ...

/Week Onsite) Type: Contract Inside IR35 Exp: 5 to 10 Years A Python + React + SQL + Databricks developer role blends backend data engineering with frontend application development, requiring strong coding skills in Python, React.js, SQL, and Databricks for building scalable, data-driven Note: Investment banking … required. Key Responsibilities Backend Development (Python) Build APIs and services using Python frameworks (Flask, FastAPI, Django). Integrate with Databricks SQL endpoints for data access. Ensure performance, scalability, and security of backend systems. Databricks & Data Engineering Develop ETL pipelines and workflows using PySpark on Databricks. Work with Delta ...

Senior Data Scientist (Single Cell) About Relation Relation is a sector defining TechBio company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life’s most devastating diseases. We leverage single-cell multi-omics … will help define how medicines are discovered and deliver meaningful impact for patients. The opportunity Relation is offering an outstanding opportunity for a Senior Data Scientist to help build the next generation of generative and predictive models of cellular behaviour, with a focus on single cell multi-omics. Your ...

etc.). Experience integrating generative Artificial Intelligence (AI) tools or Large Language Model (LLM) interfaces into workflows. Preferred qualifications: Experience in data infrastructure and analytics, software experimentation systems, or both. Familiarity with AI/ML infrastructure. Excellent communication skills (e.g,, written, verbal). Strong cross-functional and cross-organizational … collaboration skills, especially with engineering and data science. Adept at using AI tools to amplify Product Manager (PM) impact. Responsibilities: Own and drive roadmap and delivery for offline data infrastructure supporting Home and Health. Improve data access for subs/growth, agentic access, etc. including logging, observability ...

They are a consumer-focused digital business with a large and engaged user base. The organisation is investing heavily in growth, customer experience, and data-driven decision making. The analytics function is expanding to support product, marketing, and commercial teams across a range of strategic initiatives. The Role … Strong experience in Product Analytics within a digital product, marketplace, e-commerce, or consumer platform environment. Hands-on expertise in SQL and dbt for data transformation and analysis. Proven experience designing and evaluating experiments, including A/B testing and impact assessment. Experience creating and defining product or commercial ...

seasoned Business Analyst with strong knowledge of Commodities Trading, Products Trading, Supply & Distribution, Logistics, Risk Management, and Commercial optimisation. Experience working on AI, data, analytics, or digital transformation initiatives is highly desirable. Key Responsibilities Business Analysis Leadership Lead discovery, analysis, process modelling and requirements definition activities across multiple strategic … Processes AI & Digital Product Enablement Identify opportunities to leverage AI and Generative AI capabilities within trading and commercial workflows. Work closely with AI engineers, data scientists, and developers to define and deliver AI-enabled solutions. Support product discovery, MVP definition, and scaling of successful AI products. Translate business ...

initial design through to production Contribute to and lead architectural and technical design decisions Design and develop scalable systems supporting automated trading, research and data-driven applications Work closely with quantitative researchers and traders to understand requirements and translate them into robust technical solutions Develop, optimise and maintain relational … verbal English communication skills High level of attention to detail and a methodical approach to problem solving Bachelor's degree or higher in Computer Science, Mathematics, Physics, Engineering or another relevant scientific/technical discipline Desirable Technical Experience Experience developing multi-threaded and concurrent applications Understanding of asynchronous programming ...

initial design through to production Contribute to and lead architectural and technical design decisions Design and develop scalable systems supporting automated trading, research and data-driven applications Work closely with quantitative researchers and traders to understand requirements and translate them into robust technical solutions Develop, optimise and maintain relational … verbal English communication skills High level of attention to detail and a methodical approach to problem solving Bachelor's degree or higher in Computer Science, Mathematics, Physics, Engineering or another relevant scientific/technical discipline Desirable Technical Experience Experience developing multi-threaded and concurrent applications Understanding of asynchronous programming ...

Machine Learning Engineer, youll help take machine learning models from development through to robust, scalable production systems. Youll work closely with engineers, data scientists, technical leadership and clients to understand challenges, shape solutions and deliver high-quality ML products. Youll be involved across the full lifecycle, from technical discovery … grade machine learning software, tooling and infrastructure. Design reusable and scalable solutions that accelerate the delivery of ML systems. Work collaboratively with software engineers, data scientists and commercial stakeholders to solve complex client challenges. Lead technical discovery, scoping and architectural decisions. Help establish and improve engineering standards and best ...

delivery . This is a hands-on senior platform role , focused on building robust, Kubernetes-based platforms that enable MLOps engineers, ML engineers, and data scientists to deploy, run, and manage models safely and effectively in production. While you'll need a strong understanding of how machine learning … platform services that enable consistent, repeatable model deployment , even where day-to-day deployment is owned by MLOps or ML engineers Work closely with data scientists and MLOps engineers to ensure the platform is genuinely usable and fit for purpose Own platform operability, reliability, security, and lifecycle management ...

optimise their working capital. Our client aims to change how corporate finance works, by replacing static, limited and often stale financial metrics with live data-driven insights sourced from direct connections to their clients systems. You will be joining a strong team of Python Engineers, Data Scientists … contribute to the design, development, and delivery of scalable, high-impact features across our platform. Youll work closely with experienced engineers, product managers, and data scientists to build reliable systems that solve complex financial problems. This role offers an excellent opportunity to deepen your technical expertise, take ownership ...

record of shaping its industry. While its heritage is well established, the organisation is firmly focused on the future, making major investments across technology, data, and AI to accelerate innovation at scale. As part of this journey, they are now seeking a highly capable technical leader to help support … backend infrastructure through to frontend integration). There is an ongoing migration from MLflow to AWS SageMaker, so you will be working closely with data scientists, engineers and cross-functional stakeholders to deliver this. You will also be responsible for MLOps delivery from predictive maintenance, fault detection, and component ...

record of shaping its industry. While its heritage is well established, the organisation is firmly focused on the future, making major investments across technology, data, and AI to accelerate innovation at scale. As part of this journey, they are now seeking a highly capable technical leader to help support … backend infrastructure through to frontend integration). There is an ongoing migration from MLflow to AWS SageMaker, so you will be working closely with data scientists, engineers and cross-functional stakeholders to deliver this. You will also be responsible for MLOps delivery from predictive maintenance, fault detection, and component ...

helping them develop robust governance frameworks, policies and operating models. You'll work closely with senior stakeholders across business, legal, compliance, risk, technology, security, data and engineering teams to deliver practical solutions that enable innovation while meeting regulatory and operational requirements. Key Responsibilities as an AI Governance Lead Support … lifecycle governance across model development, validation, deployment, monitoring, explainability, transparency, accountability and human oversight. Advise organisations on the governance implications of Generative AI, including data usage, intellectual property, security, privacy, bias and model risk. Facilitate workshops, governance forums and risk assessments with senior client stakeholders. Develop tailored AI governance ...