1 to 25 of 1,294 Machine Learning Jobs in the UK

processes giving Markerstudy a critical advantage in the increasingly competitive insurance market by minimizing the development to deployment and monitoring stages of the ML lifecycle through automation. You will also be responsible for refining, tuning, deploying and maintaining machine learning methods in our machine learning pipeline … customer-centric offerings across Motor, Home and Commercial Lines businesses. The successful candidate will also enjoy opportunities for leading, coaching, and mentoring more junior ML Engineers. Key Responsibilities: Report and communicate with Senior Stakeholders, such as the Head of Data Science and Machine Learning and Director of Technical ...

/LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence Location: London, United Kingdom The Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, large … LLMs or recommendation systems Produce outputs that lead to high‐impact business applications, open‐source software, patents, and publications in top AI/ML conferences and journals Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production Drive ...

sure the approach meets our business and customer needs. As a technical individual contributor, you’ll be providing technical leadership and shipping highly impactful ML‐based solutions. You’ll be embedded in a cross‐functional product squad, working closely with product managers, data scientists, backend engineers and designers … levels of technical expertise and best practice across the Machine Learning discipline, leading by example and mentoring others. Working closely with our ML platform team to steer the ongoing development of tools to enable rapid iteration of models and optimisations of the full ML model lifecycle. You should ...

sure the approach meets our business and customer needs. As a technical individual contributor, you’ll be providing technical leadership and shipping highly impactful ML‐based solutions. You’ll be embedded in a cross‐functional product squad, working closely with product managers, data scientists, backend engineers and designers … levels of technical expertise and best practice across the Machine Learning discipline, leading by example and mentoring others. Working closely with our ML platform team to steer the ongoing development of tools to enable rapid iteration of models and optimisations of the full ML model lifecycle. You should ...

Machine Learning Engineer £75k-£100k DOE | UK Remote About the Role We are seeking an experienced Machine Learning Engineer to develop, train and optimise advanced computer vision and machine learning systems for deployment in constrained edge environments. This role is ideal for someone … combines strong machine learning expertise with excellent software engineering capability and enjoys solving difficult performance, optimisation and deployment challenges. You will work on cutting-edge computer vision systems, helping deliver highly efficient machine learning models that operate in demanding real-world conditions. Responsibilities Develop advanced computer ...

deliver complex machine learning and data science solutions with a high degree of autonomy. Lead technical investigations, research activities and AI/ML development across customer and internal projects. Identify innovative approaches to solving complex technical challenges and contribute to future research directions. Provide technical leadership within project … Face, TensorFlow and PyTorch. Proven experience delivering machine learning solutions within commercial, research or government environments. Strong understanding of modern AI/ML techniques across areas such as Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP) and Computer Vision. Experience training, fine-tuning and evaluating machine ...

this role, you will: Establish the roadmap and own the OKRs for machine learning systems powering our insurance business Utilize the latest ML and AI technologies to enhance our travelers’ personalized experience and discovery experience on both app and web platforms. Drive innovation, technical excellence, and deliver business … prioritize requirements Operate with a broad business perspective and technical depth, understanding company goals while navigating and influencing the EG data platform and ML technology stacks Recruit, develop, and manage highly skilled and independent applied machine learning scientists in a complex environment Minimum Qualifications You have a graduate ...

build, and deploy machine learning and statistical models using Azure Machine Learning Studio (AML Studio) in production environments. Apply appropriate ML techniques to improve predictions such as longevity, default risk, and investment outcomes. Machine Learning Operations (MLOps in Azure) Manage the full ML life … cycle using Azure ML Studio, including deployment, monitoring, retraining pipelines, and version control. Implement robust MLOps practices such as model drift detection, data quality monitoring, and automated retraining workflows. Data Engineering and Preprocessing Develop and maintain scalable data pipelines using Python, SQL, and Azure Data Factory (ADF). Ensure data ...

predictive modelling, and the application of recommendation systems. Our data scientists and machine learning engineers are applying advanced quantitative and AI/ML techniques to solve the most complex business challenges in a dynamic, entrepreneurial team with a passion for the markets. Marquee is Goldman Sachs’ premier digital … business impact of deployed models. Collaborate with product managers, engineers, and business stakeholders to translate complex analytical findings into clear, actionable insights and integrate ML solutions into production systems. Stay abreast of the latest advancements in machine learning, AI, and data science, and proactively identify opportunities to apply ...

Focus), you’ll act as the specialist technical authority within your discipline — helping shape the architecture, technical direction, and implementation strategy behind our ML‐driven products and platforms. You’ll work closely with Machine Learning Engineers, Tech Leads, Product teams, and other Team Architects to design intelligent … guide technical implementation across areas such as trajectory prediction, motion synthesis, real‐time data processing, 2D‐to‐3D geometry pipelines, and cloud‐hosted ML services. You’ll also ensure solutions are scalable, reusable, maintainable, and aligned with wider engineering standards across the business. What We Value You’ll fit right ...

STEM discipline such as Computer Science, Mathematics, Physics, Engineering, or related fields Commercial experience developing machine learning solutions using Python and modern ML frameworks Strong understanding of applied machine learning techniques, particularly around modelling complex systems and large-scale datasets Experience working with time-series, forecasting … work autonomously within a fast-moving environment Interest in applying machine learning to operational, industrial, or physical systems Desirable Experience Experience deploying ML systems into production environments Exposure to scientific machine learning, simulation, or reinforcement learning Familiarity with cloud infrastructure and scalable ML pipelines ...

model/agent development, deployment, and monitoring. You will build foundational experience designing and implementing AI agents and cloud-based AI solutions, while learning how to maintain scalable AI systems in production environments. You'll collaborate across teams to learn and apply established best practices and reusable components, helping … have supervisory duties. Posting date: Monday 22nd June 2026 {11.59pm} Skills AI Agents, Business Case Analyses, Data Analytics, Data Science, Machine Learning (ML), Machine Learning Algorithms, Machine Learning Methods, Predictive Analytics, Predictive Modeling, Python (Programming Language), Structured Query Language (SQL), Waterfall Model Shape ...

work is thoughtful, challenging, and purposeful, rather than driven by novelty or trend. What you'll be doing You'll take ownership of complex ML problems, applying scientific thinking and pragmatism in equal measure. You will: Lead end-to-end machine learning delivery , from problem definition through experimentation … with internal teams and selected external partners working at the leading edge of AI What we're looking for This role suits a senior ML practitioner who values judgement, evidence, and outcomes over theoretical or tooling purity. Essential experience: Proven experience operating at senior practitioner level as a Machine ...

Machine Learning Engineer with generative AI, LLM or ML experience is sought by a high growth scale up based near Birmingham. Working at the forefront of national security innovation this Machine Learning Engineer will work within a R&D team collaborating with industry partners to turn … would suit a software engineer with a couple of years commercial experience within broad range of technologies and a demonstratable passion for AI/ML innovation who is looking for a truly collaborative, autonomous working environment with end to end project exposure. In return this Machine Learning Engineer ...

machine learning and AI solutions for complex Payments and Banking Operations challenges, from discovery to production rollout and lifecycle management. Develop innovative ML-based solutions, including GenAI and agentic approaches, and define evaluation, safety, and monitoring strategies for production use. Own production deployment patterns, including containerization, CI/… automated testing, model registries, governance, monitoring, alerting, and rollback strategies. Architect and deploy scalable, reliable, and secure ML services integrated with strategic platforms and downstream consumers (APIs, batch, streaming), meeting SLAs and SLOs. Partner with product, operations, risk/control, and technology teams to influence roadmaps, align on requirements ...

higher-level apprenticeship programmes such as Advanced Data Fellowship and AI Data Specialist. You will cover a range of topics, including: Fundamentals of ML and AI (including Machine Learning Lifecycle, Machine Learning Mathematical Foundations); Solving Business Problems with Machine Learning; Data Preparation and Feature … Engineering; Planning and preparing ML/AI solution; Data Ethics and Responsible AI; Model Engineering and Training; Model Evaluation and Deployment; Monitoring, Maintenance, and Continuous Learning; Data Security, Privacy, and Governance; Stakeholder Communication and Documentation The Multiverse coaching team is a diverse mix of industry experts, educators, and academics ...

higher-level apprenticeship programmes such as Advanced Data Fellowship and AI Data Specialist. You will cover a range of topics, including: Fundamentals of ML and AI (including Machine Learning Lifecycle, Machine Learning Mathematical Foundations); Solving Business Problems with Machine Learning; Data Preparation and Feature … Engineering; Planning and preparing ML/AI solution; Data Ethics and Responsible AI; Model Engineering and Training; Model Evaluation and Deployment; Monitoring, Maintenance, and Continuous Learning; Data Security, Privacy, and Governance; Stakeholder Communication and Documentation The Multiverse coaching team is a diverse mix of industry experts, educators, and academics ...

higher-level apprenticeship programmes such as Advanced Data Fellowship and AI Data Specialist. You will cover a range of topics, including: Fundamentals of ML and AI (including Machine Learning Lifecycle, Machine Learning Mathematical Foundations); Solving Business Problems with Machine Learning; Data Preparation and Feature … Engineering; Planning and preparing ML/AI solution; Data Ethics and Responsible AI; Model Engineering and Training; Model Evaluation and Deployment; Monitoring, Maintenance, and Continuous Learning; Data Security, Privacy, and Governance; Stakeholder Communication and Documentation The Multiverse coaching team is a diverse mix of industry experts, educators, and academics ...

higher-level apprenticeship programmes such as Advanced Data Fellowship and AI Data Specialist. You will cover a range of topics, including: Fundamentals of ML and AI (including Machine Learning Lifecycle, Machine Learning Mathematical Foundations); Solving Business Problems with Machine Learning; Data Preparation and Feature … Engineering; Planning and preparing ML/AI solution; Data Ethics and Responsible AI; Model Engineering and Training; Model Evaluation and Deployment; Monitoring, Maintenance, and Continuous Learning; Data Security, Privacy, and Governance; Stakeholder Communication and Documentation The Multiverse coaching team is a diverse mix of industry experts, educators, and academics ...

higher-level apprenticeship programmes such as Advanced Data Fellowship and AI Data Specialist. You will cover a range of topics, including: Fundamentals of ML and AI (including Machine Learning Lifecycle, Machine Learning Mathematical Foundations); Solving Business Problems with Machine Learning; Data Preparation and Feature … Engineering; Planning and preparing ML/AI solution; Data Ethics and Responsible AI; Model Engineering and Training; Model Evaluation and Deployment; Monitoring, Maintenance, and Continuous Learning; Data Security, Privacy, and Governance; Stakeholder Communication and Documentation The Multiverse coaching team is a diverse mix of industry experts, educators, and academics ...

collaborate extensively with scientific and operational teams to ensure the robustness, scalability, and reliability of AI tools. By implementing automation and standardisation throughout the ML lifecycle, your work will support faster, data-informed decision-making and innovation. Key Responsibilities: Design, build, and maintain resilient Machine Learning Operations pipelines … learning and large language models in practical operational settings, transforming research findings into functional business tools. Support the development and evaluation of ML models, including both standard machine learning and neural network-focused models, as requested by R&D teams. Develop standardised, reusable workflows that ...

growth. We’re looking for an Applied Scientist to join the Wolt AdTech & Promotions team, who can help us build impactful, reliable, and scalable ML systems that directly impact revenue and advertiser success. What you’ll be doing As part of the AdTech Experience team you will be designing … alongside contributing to the wider applied science community. As a Senior Applied Scientist in the AdTech Experience team, you will: Design, build, and productionize ML and optimization systems for Wolt’s ads products, including areas such as ranking, targeting, campaign optimization, forecasting, and measurement. Translate ambiguous business and marketplace problems ...

develop machine learning and LLM-based solutions Work on advanced AI systems within secure and constrained environments Apply deep technical knowledge across ML, statistics, and optimisation Contribute to real-world AI applications in defence and high-assurance settings Collaborate with engineers and clients to solve complex challenges Take … solutions deployed in edge, constrained, or air-gapped environments Apply best practices in AI safety, explainability, and robustness Collaborate with engineering teams to integrate ML systems into production environments Key Requirements: Strong understanding of machine learning fundamentals Solid foundation in mathematics and statistics Hands-on experience with LLMs ...

develop machine learning and LLM-based solutions Work on advanced AI systems within secure and constrained environments Apply deep technical knowledge across ML, statistics, and optimisation Contribute to real-world AI applications in defence and high-assurance settings Collaborate with engineers and clients to solve complex challenges Take … solutions deployed in edge, constrained, or air-gapped environments Apply best practices in AI safety, explainability, and robustness Collaborate with engineering teams to integrate ML systems into production environments Key Requirements: Strong understanding of machine learning fundamentals Solid foundation in mathematics and statistics Hands-on experience with LLMs ...

develop machine learning and LLM-based solutions Work on advanced AI systems within secure and constrained environments Apply deep technical knowledge across ML, statistics, and optimisation Contribute to real-world AI applications in defence and high-assurance settings Collaborate with engineers and clients to solve complex challenges Take … solutions deployed in edge, constrained, or air-gapped environments Apply best practices in AI safety, explainability, and robustness Collaborate with engineering teams to integrate ML systems into production environments Key Requirements: Strong understanding of machine learning fundamentals Solid foundation in mathematics and statistics Hands-on experience with LLMs ...