5,351 to 5,375 of 6,655 Machine Learning Jobs in the UK

Vortexa Ltd. in London is seeking a Principal Data Scientist to own the most challenging AI/ML problems and shape production-grade data solutions for real-time energy analytics. You will lead model development across the ML lifecycle, mentor cross-functional teams, and work with analysts, engineers and traders ...

person shaping how data moves through the business - from ingestion and pipelines through to warehousing and the infrastructure that powers data science and ML work. This is a hands‐on role in a small, collaborative team, with real scope to set standards, influence architecture, and see your work used across … business from day one. Role & Responsibilities: Building and owning data pipelines from ingestion through to serving Designing data models and warehousing architecture Supporting ML models into production alongside the data science team Setting data quality, governance and compliance standards (GDPR) Skills & Experience: 5+ years in data engineering Strong database experience ...

person shaping how data moves through the business - from ingestion and pipelines through to warehousing and the infrastructure that powers data science and ML work. This is a hands-on role in a small, collaborative team, with real scope to set standards, influence architecture, and see your work used across … business from day one. Role & Responsibilities: Building and owning data pipelines from ingestion through to serving Designing data models and warehousing architecture Supporting ML models into production alongside the data science team Setting data quality, governance and compliance standards (GDPR) Skills & Experience: 5+ years in data engineering Strong database experience ...

disruptions, and changing conditions Create demand forecasting models that predict shipment volumes and capacity needs Build the data pipelines and feature stores that power ML models at scale Work with operations teams to understand the messy reality of how logistics actually works Optimise for the metrics that matter: cost, time … reliability, and carbon A strong backend engineer with 4+ years of experience, ideally with ML systems exposure. Experience with optimisation problems — vehicle routing, scheduling, or similar combinatorial challenges. Comfortable with Python and production ML tooling. Strong data engineering skills — you can build the pipelines that feed the models. Pragmatic about ...

brand new Decision Optimisation product from 0-1. This is a complex, data-heavy product which uses applied AI (agentic systems, ML, knowledge graphs), focusing on trade-off modelling and capital allocation. The MVP is being launched later this month. Role Responsibilities: 0-1 product strategy and discovery Deconstructing … ambiguous environments, making confident product bets, and setting clear direction without requiring hand-holding Strong product mechanics in complex data products, applied AI/ML, big data platforms, decision intelligence, or regulated financial/risk platforms Applied AI fluency - practical experience with LLMs, ML, knowledge graphs Eligible for SC Clearance ...

Account & Identity - a pivotal role sitting at the centre of their digital transformation. This is a rare opportunity to shape how data, AI/ML and identity platforms operate at national and global scale, underpinning everything from personalisation and audience insight through to regulatory compliance. You'll operate … transition toward domain-oriented, platform-based architectures, embedding data product thinking and ownership models Own and govern architectural standards across data, AI/ML and identity ecosystems (real-time & batch processing, ML enablement, customer identity) Enable responsible AI and ML at scale, balancing innovation with governance, risk and safety Lead ...

real-world model quality Work closely with Product and Engineering to turn ambiguous problems into working software Требования: Commercial experience building production AI/ML applications Strong Python engineering skills Experience with modern LLMs and agentic AI systems Hands-on experience with RAG, vector databases, and LLM orchestration Experience deploying … operating production ML systems Comfort working across models, infrastructure, and product Условия: Equity options Opportunity to shape a pre-launch product Work with a small, high-calibre engineering team #J-18808-Ljbffr ...

strategies is mandatory . What you'll work on: Real-time market data and tick-data processing systems Alpha generation and feature engineering pipelines ML infrastructure and research-to-production frameworks Strategy execution platforms and OMS integrations Requirements: Current experience at a systematic hedge fund, market maker, or quantitative trading … NumPy, Pandas, and the wider data ecosystem) Background as a Software Engineer/Quant Developer, not a Quant Researcher Experience with market data engineering, ML pipelines, execution systems, and research infrastructure 5+ years of relevant industry experience #J-18808-Ljbffr ...

insurance. Excited to make an impact? Here are the details What you will do Define model development methodologies and best practices across the entire ML lifecycle Play a central role in selecting and evolving the technological stack Support the productionalization and evolution of the Oracles — entities that leverage machine … with emerging technologies What we’re looking for Core Skills & Experience Strong programming background with deep expertise in Python Experience across the lifecycle of ML model development, including production deployment Proficiency in software development practices such as: TDD BDD Commitment to code quality, readability, and maintainability Extensive experience in software ...

across a truly international footprint. As the Data & Analytics Domain Solution Architect, you will own the architecture vision across data platforms, analytics, AI/ML, visualisation, governance, and integration. You will shape the technology roadmap, set architectural standards, and design well-architected solutions that bring clarity, simplification, and value … practice frameworks. Why this role? Global remit with visibility across multiple regions, brands, and business functions Strategic architectural ownership across data, analytics, AI/ML, and governance Drive simplification & standardisation across a diverse technology environment Direct influence on senior stakeholders and enterprise-wide decision making Modern tech stack exposure including ...

Model ML is the AI workflow builder transforming how major financial institutions produce and validate client-ready work. Model ML converts complex, manual processes into fully automated AI systems that scale across global teams. In under a year, Model ML has become one of the fastest growing enterprise AI platforms … rounds ever. The round was backed by FT Partners, Y Combinator, LocalGlobe, QED, 13books, and other top global investors. About the Role Model ML is hiring a Revenue Operations Lead focused on GTM enablement to own how the field learns, sells, and stays sharp. This is a newly created, high ...

decisions are technically sound and commercially deliverable within a managed services model. Skills/Must Have: Experience: 5+ years in applied data science or ML engineering, with direct exposure to LLM training or fine-tuning at a technical (not just API-consumption) level. Core Tech/Domain: Hands-on experience … with transformer architectures, LLM pre-training or fine-tuning workflows, and modern ML frameworks (PyTorch, Hugging Face, or equivalent). Methodology/Protocols: Strong grounding in evaluation methodology, RAG and fine-tuning trade-offs, and production ML deployment patterns. Soft Skills: Confident and credible in front of senior technical stakeholders ...

design and build scalable backend services and APIs that power Agent Studio capabilities from concept through production. You will collaborate with frontend, AI/ML, product, UX, and platform teams to own configuration, orchestration, testing, deployment, and lifecycle management while upholding performance, reliability, and security. #J-18808-Ljbffr ...

forecast, model serving, and data processing services, mentor senior engineers, and collaborate with product and data science partners to deliver scalable, production‐grade ML capabilities. #J-18808-Ljbffr ...

solutions. You will partner with customer architects and Directors, design scalable architectures, and influence product direction with insights from engagements across data engineering, ML/AI, and real-time analytics. #J-18808-Ljbffr ...

evolve our cloud, data and AI infrastructure underpinning our genomics-first platform. You will lead AWS platform engineering, data systems and AI/ML workloads, collaborating with cloud and data engineers, bioinformaticians and scientists to deliver secure, scalable solutions. This is a senior IC role with technical leadership and accountability. ...

oversee delivery across programs. You will lead a team of data scientists, collaborate with biostatistics, regulatory, and clinical teams, and drive innovation in ML and analytics to improve trial design and outcomes. #J-18808-Ljbffr ...

Amazon Security Automation team seeks a skilled Software Development Engineer II to build autonomous security solutions that protect Amazon’s customers, leveraging AI/ML to automate detection, analysis and response at scale. As an SDE II you will design and develop AI-driven security automation systems, collaborate with security ...

pipelines and guiding the team through a pivotal growth phase. You will work on modern data platforms and collaborate with AI engineers to productionise ML solutions, while staying technically hands-on and growing the department. #J-18808-Ljbffr ...

Data team in London. The role focuses on ingesting, cleansing and modelling data into a single source of truth using Kimball datasets for BI, ML, DS & AI. You will lead data engineering activities, guide a team of data engineers, and ensure high-quality data pipelines, governance and collaboration across ...

Model ML is the AI workflow builder transforming how major financial institutions produce and validate client-ready work. Model ML converts complex, manual processes into fully automated AI systems that scale across global teams. In under a year, Model ML has become one of the fastest growing enterprise AI platforms … global investors, bringing total funding to $90 million. The Role: We’re looking for a Growth Marketing Manager to build and scale Model ML’s growth engine across paid, organic, lifecycle, and experimentation. You’ll be one of the earliest hires on the marketing team, driving measurable acquisition, engagement ...

e.g. music generation, visual systems, interactive installations). Work closely with internal Engineering and Research teams. Stay attuned to emerging technologies (quantum, AI/ML, generative media, game engines) and identify their potential cultural applications. Build work that lands with a range of audiences — from gamers to the quantum industry … least one language (Python, C++, JavaScript/TypeScript), with the ability to work across multiple languages as needed. Familiarity with generative AI and creative ML workflows (e.g. diffusion models, RNNs, transformers, audio‐visual ML). A portfolio showcasing experimental, artistic, or interdisciplinary projects — demonstrating creativity, technical skill, and originality What ...

Jingdong Retail (UK) Limited is seeking a Data Engineer to design, build, and maintain scalable data pipelines and platforms that power analytics and ML systems. You will work with product managers, data scientists, and business stakeholders to ensure data availability, quality, and efficiency across markets. This role is onsite ...

Marshmallow is seeking a Principal Data Scientist in London to lead data science across Claims Fraud, designing and deploying ML and Generative AI systems for automated claims processing. You will collaborate with product and engineering to scale decisions, while ensuring robust, testable solutions and measurable improvements. This role emphasizes ownership ...

Sedona Digital Ltd is seeking a Lead Data Scientist to lead enterprise‐scale AI, ML and analytics solutions. The role combines technical leadership, solution architecture, and hands‐on data science to transform business challenges into measurable outcomes through data and AI. You will set best practices across the Data ...