1 to 25 of 1,413 Machine Learning Jobs in the UK

ASOS, you're free to be your true self without judgment, and channel your creativity into a platform used by millions. Job DescriptionAt ASOS, machine learning is a core part of how millions of customers discover products, engage with our brand and shop every day. We're looking … Ability to work through ambiguity and lead complex technical initiatives. Experience in customer intelligence, marketing optimisation, pricing, forecasting or personalisation. Experience building feature platforms, ML platforms or shared machine learning infrastructure. Exposure to experimentation frameworks, causal inference or measurement platforms. Experience mentoring engineers and influencing technical direction beyond ...

team know if you need any adjustments throughout the process in whatever way works best for you. Job DescriptionWe're looking for a Senior Machine Learning Engineer to join our Search & Recommendations team, where we're building the machine learning systems that help millions of customers … Contribute to the team's technical direction and help evolve machine learning standards, best practices and ways of working across the wider ML community. QualificationsAbout YouWe're interested in candidates who bring experience in several of the following areas. You'll likely be someone who enjoys combining strong ...

cross-team architectural decisions to ensure consistency, scalability, reliability and maintainability. Establish long-term technical direction for recommendation, retrieval and AI-powered discovery platforms. ML Product Engineering & Production Delivery Set technical direction and best practices across recommendation systems, retrieval, personalisation, search relevance, deep learning and generative AI applications. Partner … Identify and resolve architectural, scalability, reliability and performance challenges throughout the machine learning lifecycle. Support the delivery of production-grade customer-facing ML products that generate measurable business and customer value. Technical Leadership & Engineering Excellence Provide technical leadership on strategic initiatives, including platform investment decisions and build-versus ...

been removed by the job board, full contact details are readily available on our website). Keywords: Machine Learning Researcher/ML Research Scientist/Applied Machine Learning Scientist/AI Researcher/Research Engineer/Machine Learning Engineer/AI Engineer/Applied … Engineer/ML Scientist/Deep Learning Researcher/NLP Researcher/Research Software Engineer/Python/PyTorch/Large Language Models/LLM/LangChain/LangGraph/AI Agents/Enterprise Search/Neural Networks/Model Deployment/Edge AI/TensorFlow/scikit-learn ...

platforms, analytics and data-led transformation for clients. As part of the growing Data Science capability within the Data Practice, you will work on Machine Learning, Predictive Analytics and Applied AI use cases that help clients move beyond traditional reporting towards evidence-led, AI-enabled decision making. … will work alongside data engineers, data architects, platform specialists and consultants across Snowflake, Databricks and Microsoft Fabric to develop practical, production-ready machine learning solutions. We are looking for a Data Scientist with a solid background in Machine Learning, Statistics and Predictive Analytics to join ...

Sector: Machine Learning EngineerReference: GG - 63Founding Machine Learning Engineer | Early-Stage AI Start-Up | LondonFounding Machine Learning Engineer required to join an early-stage AI start-up in London, building cutting-edge technology from the ground up and solving real world problems. This … join at the earliest stage, work closely with the founding team, and take significant ownership over the development of the company's core machine learning systems. You'll have the freedom to experiment, move quickly, and directly influence both the technology and product as the company grows. ...

across the organization. The position will be based out of our London or Manchester office. Specific Emerging Technology team objectives are: Gen AI/ML technology implementation with business and product owners Emerging Tech Governance function covering policies, guidelines and processes to govern AI/ML enabled components as well … vendor evaluations and tool assessments for relevant use cases. Where appropriate, onboard the right solutions into the platform. Effectively communicate advanced data science/ML concepts in simple language to the business stakeholders always focusing on its applicability to Fitch business Develop and deploy machine learning ...

create innovative products, services, and tools that deliver high-quality experiences for travellers, partners, and employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that build loyalty and traveller satisfaction. The Content AI team develops content intelligence capabilities that … Experience and Qualifications: Required4-5+ years of people leadership experience managing Machine Learning Scientists, Applied Scientists, Data Scientists, or multidisciplinary AI/ML teams. Master's degree in computer science, machine learning, statistics, mathematics, or a related technical field; or equivalent related professional experience. Significant experience ...

Machine Learning Engineer who is keen to take the next step into leadership. You'll continue building and deploying production-grade ML systems while gradually taking on team management responsibilities, offering the chance to shape both technical strategy and team growth. The Company A high-growth technology business … with a strong focus on machine learning and data-driven decision-making. They are investing heavily in their ML capabilities and are looking for a technical leader to help scale their machine learning infrastructure, engineering best practices, and team capability. You'll join a collaborative environment ...

Machine Learning Engineer - Computer Vision & Deep LearningSalary: 50,000 to 95,000, depending on experienceLocation: West LondonWorking arrangement: Predominantly office and customer-site based, with some remote working availableEmployment: Permanent, full-timeMFK Recruitment is recruiting Machine Learning Engineers for an innovative UK technology company developing advanced … Artificial Intelligence and Machine Learning systems for defence, security and other demanding real-world environments. We are recruiting at junior, mid-level and senior levels. Applications are welcomed from talented Machine Learning Engineers at different stages of their careers, with responsibilities and salary determined by experience ...

projects, focusing on building, deploying and scaling machine learning systems in production environments. The role is heavily focused on Python software engineering, ML deployment and cloud infrastructure, working alongside engineers, data scientists and technical stakeholders to deliver robust, production-grade solutions for complex client challenges. THE ROLE … role in taking machine learning models from development into production, building the software, tools and infrastructure required to deploy and operate ML systems reliably at scale. Working across software engineering, cloud architecture and machine learning operations, you'll help develop reusable solutions, influence technical decisions ...

initiatives and take proofs of concept and minimum viable products towards reliable operational use. Working within Research & Development, you will connect biology with machine learning, so drug discovery and development teams can act on clear, measurable results that support the research behind treatments for people living with serious … degree with 8+ years, a Master's degree with 6+ years, or a PhD with 3+ years of relevant experience in Computer Science, Machine Learning, Data Science, Bioinformatics or a related quantitative field. Experience developing and evaluating AI or machine learning methods through research, experimentation ...

Cambridge working on cutting-edge machine learning projects from concept through to deployment. The Role: Research and develop innovative AI/ML solutions for challenging technical problems. Design, train and evaluate machine learning models across a variety of applications. Rapidly prototype, test and optimise new ideas. … Analyse research papers and apply the latest ML techniques. Design experiments, interpret results and present technical findings. Key Skills required for this Machine Learning Engineer role: Strong degree in Computer Science, Mathematics, Physics, Engineering or a related STEM subject. Commercial or research experience in Machine Learning ...

Machine Learning | Python | Data Science | Industrial Analytics | Predictive Modelling | Process Optimisation Imagine using advanced analytics to predict problems before they happen, improve manufacturing performance and help industrial plants operate more efficiently. Not through hypothetical datasets, but by working with real industrial processes, real customers and data that makes … Full Time | Permanent Monday–Friday, 9am–5:30pm (Some Flexibility Available) Occasional International Travel, Primarily North America Sector: Industrial Analytics | Machine Learning | Spectroscopy | Process Technology Your Background/Skills: Python, Machine Learning, Data Science, Statistics, Predictive Modelling, Industrial Data, Process Analytics, Time-Series Analysis, Chemometrics, Process ...

need any adjustments throughout the process in whatever way works best for you. Job DescriptionJoin the team responsible for building the data and machine learning products that power customer experiences, marketing effectiveness and commercial decision-making across ASOS.As a Senior Data Engineer in our Customer & Marketing Machine Learning team, you will play a key role in developing the data foundations that enable machine learning models, pricing optimisation, customer analytics, media measurement and marketing decisioning at scale. The team brings together Data Engineers, Machine Learning Engineers and Applied Scientists to deliver ...

Machine Learning | Python | Data Science | Industrial Analytics | Predictive Modelling | Process Optimisation Imagine using advanced analytics to predict problems before they happen, improve manufacturing performance and help industrial plants operate more efficiently. Not through hypothetical datasets, but by working with real industrial processes, real customers and data that makes … Full Time | Permanent Monday–Friday, 9am–5:30pm (Some Flexibility Available) Occasional International Travel, Primarily North America Sector: Industrial Analytics | Machine Learning | Spectroscopy | Process Technology Your Background/Skills: Python, Machine Learning, Data Science, Statistics, Predictive Modelling, Industrial Data, Process Analytics, Time-Series Analysis, Chemometrics, Process ...

building a greenfield AI product within a highly successful global technology business. You'll have significant ownership from day one, helping shape the architecture, ML systems, and product direction of a platform designed to solve complex, high-value challenges at scale. The Company They are a global technology organisation operating … intelligence. The Role As a Senior Machine Learning Engineer, you will play a key role in designing, building, and operating production-grade ML systems from the ground up. Responsibilities include: Building and owning end-to-end machine learning solutions, from data ingestion through to deployment ...

databases, and modern collaborative development practices using tools such as Git, Jira, GitHub, and GitLab. Hands-on experience building, deploying, and scaling AI/ML solutions using frameworks and platforms such as Scikit-learn, PyTorch, TensorFlow, Hugging Face, LangChain, Databricks, Spark, vector databases, cloud services (AWS/Azure), and MLOps … ontologies, and evidence-grounded AI in scientific, scholarly, biomedical, or other knowledge-intensive domains. Proven track record of deploying and scaling production AI/ML systems, including monitoring, drift detection, automated retraining, performance optimisation, and maintaining reliable, cost-effective, high-throughput solutions in regulated or high-trust environments. Demonstrated technical ...

solutions, including product retrieval and AI-driven content processing applications. Your Skills & Experience Strong experience in MLOps, machine learning engineering, or production ML deployment. Proven capability deploying machine learning models into real-time, customer-facing environments. Experience working with recommendation systems, ranking models, or other … latency online ML applications. Strong software engineering and production engineering mindset. Experience with TensorFlow, PyTorch, or similar machine learning frameworks. Understanding of model serving, monitoring, scalability, and production infrastructure. Exposure to LLMOps or deploying large language models in production environments is beneficial. Experience within sectors such ...

good software engineering fundamentals. Experience could come from professional work, internships, academic projects, open-source contributions, or other practical software development. An interest in machine learning software and how AI models run on different hardware is important. Some experience with, or exposure to, machine learning frameworks … would be beneficial but is not essential. In this role, you will contribute to developing, testing, and improving software across different parts of the machine learning software stack. Working alongside experienced engineers, you will help investigate functional and performance issues and contribute to solutions across runtimes, compilers, drivers ...

Interested in leading teams that build AI systems combining machine learning, retrieval, and modern language models to solve real-world problems? About the team: We're looking for a Manager, Data Science to lead and develop a team of data scientists delivering intelligent, data-driven systems that help … impact work, enable excellent execution through your team, and ensure robust, scalable, and trustworthy solutions move from concept to production. You will combine strong machine learning foundations with practical experience in modern AI approaches—including retrieval, ranking, and generation—to guide sound technical and product decisions. ...

Machine Learning Research Engineer Location: London Salary: Competitive, dependent on experience Employment: Permanent What if the reinforcement learning models you developed actually controlled a humanoid robot? We're working with an innovative robotics company in London that's developing advanced humanoid robotic systems, and we're looking … Machine Learning Research Engineer to help push the boundaries of what these machines can do. This is an opportunity to work at the intersection of reinforcement learning, robotics, simulation and real-world control , helping develop intelligent behaviours that can be transferred from simulation onto physical robotic hardware. ...

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 ...

work is thoughtful, challenging, and purposeful, rather than driven by novelty or trend. What you'll be doingYou'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, evaluation … review cultureCollaborate with internal teams and selected external partners working at the leading edge of AIWhat we're looking forThis 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 ...

fine-tuning existing models or optimizing yesterday's algorithms. We're architecting the next generation: sophisticated agentic AI systems, intelligent automation that thinks, and ML capabilities that will redefine how credit analysis happens and how global financial markets consume insights. This is AI's moment at Fitch … moving decisively. We have executive sponsorship, significant investment, and we're establishing Toronto as our AI innovation center. As a Lead ML Engineer, you'll be a technical champion driving this transformation—building breakthrough ML systems that others will study, mentoring engineers who will become tomorrow's AI leaders ...