4,576 to 4,600 of 5,806 Machine Learning Jobs in the UK

Thomson Reuters Labs is seeking a Research Engineer to advance AI/ML capabilities that transform how legal, tax, accounting, and government professionals work globally. You will design, build, and deliver scalable ML solutions and data pipelines while collaborating with cross-functional and remote teams. The role emphasizes agile delivery ...

datasets, and fine-tune open weight models with a strong focus on performance and scalability. The role requires hands-on experience with Python and ML frameworks (PyTorch/TensorFlow), production ML pipelines, and GPU optimisation, with emphasis on rigorous evaluation and error analysis. #J-18808-Ljbffr ...

Dewis Gyrfa Ltd is seeking an experienced AI Security Engineering Lead to design and deliver secure patterns, controls and tooling for our AI/ML systems. This is a hands-on technical leadership role, with code, automation and platform design responsibilities. The role requires deep expertise in AI/ML ...

JPMorgan Chase & Co. in the United Kingdom seeks an Applied AI/ML Lead Engineer to design, build, and productionize GenAI and Agentic AI solutions. You will contribute across ML delivery, backend services, and cloud-native platforms on AWS, applying modern engineering practices and secure coding standards. You will lead ...

world-class leader to grow the UK Forward Deployed AI Engineering (AI FDE) team in London. You will lead customers through AI/ML transformations, recruit and develop top data scientists and ML engineers, and manage a portfolio of key EMEA accounts. You will report to the Director ...

building AI-powered cybersecurity threat detection that scales across billions of events and integrates with analysts’ workflows. You will build analyst dashboards, ML models for anomaly detection and threat classification, and data pipelines for real-time ML insights. Expect collaboration with security researchers and fast iteration in a high-velocity ...

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 ...

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 ...

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 ...

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. ...

Devitechs in the United Kingdom is seeking a professional with expertise in AI ethics to develop and implement frameworks for AI/ML projects. The successful candidate will conduct ethical reviews of algorithms and collaborate with cross-functional teams to ensure compliance with ethical guidelines. A degree in Philosophy, Computer ...

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 ...

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 development, focusing on data pipelines and system performance. Candidates should have proven experience in training models, proficiency in Python, and knowledge of ML frameworks. Offers a collaborative environment, competitive salary, and professional development opportunities. #J-18808-Ljbffr ...

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 ...