2,476 to 2,500 of 3,843 Machine Learning Jobs in the UK

a high-impact role at the intersection of AdTech and gaming. This is a rare chance to join a team solving billions in wasted UA spend with investment-grade ML models and petabyte-scale data. Whether your background is in programmatic advertising, mobile user acquisition, or gaming analytics, you’ll be building the models that drive smarter spend, deeper insights … and better business outcomes. What You’ll Do: Develop ML models for LTV prediction, user acquisition optimisation, and forecasting. Lead modelling initiatives from design to deployment. Work on real-world problems in AdTech, mobile gaming, or both. Explore new data sources and signals to improve model performance. Partner with engineers, PMs and commercial teams to deliver measurable impact. You’ll … Need: 5+ years in data science or ML roles, ideally within AdTech or gaming. Strong coding skills in Python, SQL, and modern ML libraries (XGBoost, PyTorch, etc.). Experience with time-series modelling, UA data, or predictive analytics. A creative, proactive mindset and a commercial eye for how data drives outcomes. Bonus: Experience in mobile games, DSPs, RTB, or performance More ❯

a high-impact role at the intersection of AdTech and gaming. This is a rare chance to join a team solving billions in wasted UA spend with investment-grade ML models and petabyte-scale data. Whether your background is in programmatic advertising, mobile user acquisition, or gaming analytics, you’ll be building the models that drive smarter spend, deeper insights … and better business outcomes. What You’ll Do: Develop ML models for LTV prediction, user acquisition optimisation, and forecasting. Lead modelling initiatives from design to deployment. Work on real-world problems in AdTech, mobile gaming, or both. Explore new data sources and signals to improve model performance. Partner with engineers, PMs and commercial teams to deliver measurable impact. You’ll … Need: 5+ years in data science or ML roles, ideally within AdTech or gaming. Strong coding skills in Python, SQL, and modern ML libraries (XGBoost, PyTorch, etc.). Experience with time-series modelling, UA data, or predictive analytics. A creative, proactive mindset and a commercial eye for how data drives outcomes. Bonus: Experience in mobile games, DSPs, RTB, or performance More ❯

data-driven decision-making. Partnering with the Global Head of Performance and Senior Analyst Manager, you’ll be responsible for transitioning our pricing models to python and developing our machine learning capability. If you’re passionate about turning data into actionable strategies and thrive in a collaborative, energetic environment, we want you on our team! Main responsibilities: Lead … in transitioning our GLM pricing models to Python and developing our machine learning capability Help shape and support Automotive Protection’s data science strategy Work closely with the Global Head of Performance and Senior Analyst Manager to identify opportunities, plan project delivery and deliver key outcomes that drive decision-making Develop and implement analytical models that support pricing … bring new ideas to life. Skills you'll need: Expert in Python for data analysis, modelling, and building solutions Familiarity with working in a Linux environment Strong understanding of machine learning and data science Good experience in MS SQL Server Management Studio, MS Office, Power BI, and Excel, with the ability to transform data into impactful insights A More ❯

the systematic infrastructure within the business. Key Responsibilities: Quantitative Research & Strategy Development: Conduct rigorous quantitative research to identify market inefficiencies and develop systematic trading strategies. Utilize statistical, econometric, and machine learning techniques to model macroeconomic relationships and forecast asset prices. Data Analysis & Signal Generation: Analyse large and complex datasets, including macroeconomic indicators, market prices, and alternative data sources … Computer Science, or a related field. Strong programming skills in Python, R, or a similar language, and the ability to write clean code. Experience with statistical analysis, econometrics, and machine learning techniques. Proficiency in working with large datasets and data analysis tools. Familiarity with financial markets and economic theory. Proven track record of developing and implementing successful quantitative More ❯

the systematic infrastructure within the business. Key Responsibilities: Quantitative Research & Strategy Development: Conduct rigorous quantitative research to identify market inefficiencies and develop systematic trading strategies. Utilize statistical, econometric, and machine learning techniques to model macroeconomic relationships and forecast asset prices. Data Analysis & Signal Generation: Analyse large and complex datasets, including macroeconomic indicators, market prices, and alternative data sources … Computer Science, or a related field. Strong programming skills in Python, R, or a similar language, and the ability to write clean code. Experience with statistical analysis, econometrics, and machine learning techniques. Proficiency in working with large datasets and data analysis tools. Familiarity with financial markets and economic theory. Proven track record of developing and implementing successful quantitative More ❯

bring: Strong command of Python and related frameworks and libraries with good experience of at least one other language (C++, Java, Julia, R, Matlab, JS frameworks) Excellent understanding of machine learning theory and related mathematical principles Practical MLOps experience of training and tuning deep learning models and evaluating performance (e.g working with PyTorch to build deep learning … as well as model API integration Experience across a range of deployment environments including public cloud and high-performance computing clusters Practical experience creating user-friendly interfaces for applied machine learning applications What will you receive? At the Francis Crick Institute, we value our team members and are proud to offer an extensive range of benefits to support More ❯

bring: Strong command of Python and related frameworks and libraries with good experience of at least one other language (C++, Java, Julia, R, Matlab, JS frameworks) Excellent understanding of machine learning theory and related mathematical principles Practical MLOps experience of training and tuning deep learning models and evaluating performance (e.g working with PyTorch to build deep learning … as well as model API integration Experience across a range of deployment environments including public cloud and high-performance computing clusters Practical experience creating user-friendly interfaces for applied machine learning applications What will you receive? At the Francis Crick Institute, we value our team members and are proud to offer an extensive range of benefits to support More ❯

On Driving the evolution of our web platform and native apps Leading development on new product features, from concept to deployment Supporting API integrations, backend systems, and our internal machine-learning engine Working directly with the business team to translate needs into scalable code Balancing quick iteration with smart architecture and long-term maintainability Our Tech Stack PHP … Symfony) + MySQL + Twig Native Android & iOS apps connected via a TypeScript REST API Hosted on AWS with Docker containers + CDK orchestration A custom-built machine learning/NLP engine for smart content curation Integration with multiple third-party APIs for distribution and analytics About You You're not just a developer -you're a problem More ❯

to fraud data through collaboration with engineering and data teams Present complex data findings to stakeholders in a clear and actionable manner Model Development Create predictive models and apply machine learning techniques to identify fraud risks Continuously evaluate and enhance fraud models to maintain detection accuracy Maintain clear documentation of methodology for use across both technical and non … data extraction Python – for analysis, automation, and model development Data visualisation tools such as Power BI, Metabase, or Tableau Statistical methods, including regression and hypothesis testing Basic understanding of machine learning as applied to fraud detection Ability to analyse anomalies, identify trends, and convert findings into prevention strategies Excellent communication and stakeholder engagement skills A strong attention to More ❯

can have equal and unconstrained access to educational experiences on par with Oxford, Cambridge, CalTech, et cetera. We believe that this can be achieved with a new class of learning tools, which combine advances in cognitive science, language models, and datasets. We are building these tools in England. Our first product, Grasp Concepts , enables students to disambiguate and learn … concepts through great online explanations and is deployed with design partners including Imperial College London. Our second product, Grasp Pathways , decomposes learning goals and suggests flexible learning trajectories to reach them, using reputable learning resources like books and lectures, and is in private alpha. An on-demand, online oxbridge-like experience . Team and Funding We've … so hard we cannot afford to work with anyone but the best. R&D Engineering at Grasp You will be an individual contributor in a team researching and developing ML and AI-based features. These features directly solve problems for online self-directed learners . As an individual contributor, you will be expected to take a high degree of initiative More ❯

to fraud data through collaboration with engineering and data teams Present complex data findings to stakeholders in a clear and actionable manner Model Development Create predictive models and apply machine learning techniques to identify fraud risks Continuously evaluate and enhance fraud models to maintain detection accuracy Maintain clear documentation of methodology for use across both technical and non … data extraction Python – for analysis, automation, and model development Data visualisation tools such as Power BI, Metabase, or Tableau Statistical methods, including regression and hypothesis testing Basic understanding of machine learning as applied to fraud detection Ability to analyse anomalies, identify trends, and convert findings into prevention strategies Excellent communication and stakeholder engagement skills A strong attention to More ❯

High Holborn, colocating Hawkes (formerly CMIC), UCL's AI Centre (AIC), and UCL's Advanced Research Computing Centre (ARC), creating a vibrant hub of data-science researchers focused on machine learning, AI technologies, and healthcare applications. The institute aims to develop next-generation low-field portable MRI scanners for research and clinical use in low-resource settings. The … candidate should have a minimum of an honours degree (2:1 or higher) and a PhD in a relevant discipline. Proven experience in the theory, development, and application of machine learning/AI tools relevant to this project is essential. Strong problem-solving skills, excellent communication abilities, and a record of high-quality research publications are required. For More ❯

AI, Computer Science, Electronics, or related field (or equivalent experience) Proven experience deploying, profiling, and optimising AI models on embedded platforms (NPU/CPU) Strong skills in developing novel ML architectures and training methods Background in audio signal processing or enhancement technologies Proficiency in embedded C++ and/or Python Excellent communication, time management, and teamwork skills A proactive approach … to innovation and problem solving Desirable: Publications in leading ML conferences (e.g., ICML, ICCV, SysML) Open-source contributions to ML frameworks (e.g., TensorFlow, TensorFlow Lite) Experience with knowledge distillation, computer vision, or federated learning Familiarity with Linux, shell scripting, and multi-threaded embedded software development If you are an AI Researched with an interest in digital technology give me More ❯

Work closely with your manager to identify issues and use data to propose solutions for effective decision making Merge, manage, interrogate and extract data to supply tailored reports Use machine learning tools and statistical techniques to produce solutions to problems Create clear reports that tell compelling stories about how customers or clients work with the business Conduct research … to do Pivot tables, VLOOKUP's, formulas The tenacity to makes sure deadlines are met, even getting involved in other department if need be. Problem-solving aptitude Interested in learning programming languages such as R and Python. Please contact John Devlin at Agility Resourcing for further details Apply for this job More ❯

processes. Apply link Copy link Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. Preferred qualifications: Experience with Unix/Linux environments, distributed systems, machine learning, information retrieval, and TCP/IP. Experience in network programming or developing/designing large software systems. About the job Google's software engineers develop the next … Research, conceive, and develop software applications to extend and improve Google's product offering. Contribute to a wide variety of projects utilizing natural language processing, artificial intelligence, data compression, machine learning, and search technologies. Collaborate on scalability issues involving access to massive amounts of data and information. Google is proud to be an equal opportunity and affirmative action More ❯

In 2012, Lambda started with a crew of AI engineers publishing research at top machine-learning conferences. We began as an AI company built by AI engineers. That hasn't changed. Today, we're on a mission to be the world's top AI computing platform. We equip engineers with the tools to deploy AI that is fast … a trillion dollars of market capitalization. Our goal is to make computation as effortless and ubiquitous as electricity. If you'd like to build the world's best deep learning cloud, join us. What You'll Do Help scale Lambda's high performance cloud network Contribute to the reproducible automation of network configuration and deployments Contribute to the implementation … SVB, 1517, Crescent Cove. We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG Health, dental, and vision coverage for you and your dependents Commuter/Work from home stipends for select More ❯

Master's with highly relevant commercial experience will also be considered) Full rights to work in the UK without limitation While not required, any additional experience with digital twins, machine learning, reinforcement learning or agentic systems within a scientific context would be beneficial. On offer is a very competitive salary and attractive benefits package including medical insurance More ❯

performance marketing and lead generation business working across the automotive sector. The business partners with multiple global automotive brands to deliver high-quality customer leads through advanced data integrations, machine learning models, and digital innovation. With a unique blend of B2B platform development and consumer-facing product work, this is a fast-paced SME environment offering real ownership … science, and client services to deliver product features and system enhancements. Oversee platform operations and lead processing, ensuring platform reliability, system uptime, and data accuracy. Deliver technical innovation across machine learning-based lead scoring, CRM integration, data validation, and social platform connections. Take responsibility for long-term platform scalability and international market readiness. B2C Product Owner Role The More ❯

offer. Name Email Telephone Address Cover Note Upload CV What do you want to search? Keyword Apprenticeship Type Location AI Engineer Apprentice , Apply From: 19/06/2025 Learning Provider Delivered by QA LIMITED Employer ENVERA TELECOMMUNICATIONS LIMITED Vacancy Description AI & automation deployment for clients: Assist in the design and deployment of AI-driven solutions for UK-based … of AI engineers are required. The AI Engineer programme helps businesses embrace AI-driven transformation by developing specialists with the skills to design, build, and deploy Generative AI and Machine Learning solutions. AI Engineer apprentices will empower organisations to: Drive AI innovation Optimise business processes Enhance decision-making The AI Engineer programme integrates live and online workshops with … self-paced learning, employing a guided discovery approach for individual learner contexts. Learners are assigned a Digital Learning Consultant (DLC) for personalised coaching and support. These specialists ensure their successful progress, wellbeing, and readiness for assessments. Learning Provider QA LIMITED Skills Required Communication skillsIT skillsProblem solving skills Apply Now More ❯

DeepRec is on the lookout for an experienced AI Recruiter with a focus on the U.S market. You will have the opportunity to work across any of these verticals; Machine Learning, Computer Vision, Blockchain , Data Science or NLP. Here's an overview: We have over 500,000 people as part of our global communities Women in DevOps, Ex … opportunities. Responsibilities: Build and maintain strong client relationships across the AI Market. Identify and capitalise on new business opportunities across the U.S. Source and place senior-level candidates such Machine Learning and Computer Vision Engineers. Stay informed about industry trends and market dynamics to effectively engage clients. Manage relationships with senior individuals in the market and identify opportunities More ❯

DeepRec is on the lookout for an experienced AI Recruiter with a focus on the U.S. Market. You will have the opportunity to work across any of these verticals; Machine Learning, Computer Vision, Blockchain , Data Science or NLP. Here's an overview: We have over 500,000 people as part of our global communities Women in DevOps, Ex … opportunities. Responsibilities Build and maintain strong client relationships across the AI Market. Identify and capitalise on new business opportunities across the U.S. Source and place senior-level candidates such Machine Learning and Computer Vision Engineers. Stay informed about industry trends and market dynamics to effectively engage clients. Manage relationships with senior individuals in the market and identify opportunities More ❯

the development of both our Robot Simulation Framework and AI Robotic Infrastructure. Develop control algorithms that effectively translate simulated environments to real-world robot behavior. Enhance the efficiency of machine learning models through techniques like quantization, pruning, and other optimization methods. Harness the power of GPUs through CUDA, Python, or Jax to accelerate simulations and training processes. Qualifications … Solid understanding of control theory, with a focus on manipulation and locomotion tasks. Proficiency in Python/C++ and deep learning frameworks like PyTorch. Extensive experience with GPU programming, including CUDA and GPU-accelerated libraries. Experience with robotics simulation frameworks (e.g., OpenAI Gym) is a plus. Experience working with physical robots is beneficial. Thrives in a fast-paced, dynamic More ❯

is the market leader in sports tech. We provide the richest and most trusted sports data available and are at the forefront of the latest advancements in AI and machine learning to turn this data into something magic. We entwine our extensive back-catalogue of data in with innovative products and machine-learning to deliver insights More ❯

to create and maintain cutting-edge software, firmware, and databases Project Management: Ensure timely delivery of software projects that meet objectives and timescales Hands-On Problem Solving: Assist with machine issues during build and test phases Global Support: Provide second-line support for our worldwide network of field service engineers. Customer Interaction: Engage with our global customer base to … the boundaries of technology Global Impact: Make a difference on an international scale Collaborative Environment: Join a team of passionate professionals dedicated to excellence Professional Growth: Opportunities for continuous learning and career advancement What We're Looking For Technical Expertise: Proficiency in various software development tools and languages. Problem-Solving Skills: Ability to tackle challenges head-on and find … proven relevant experience since graduating OR Programming in C#, C++, C, assembler, and PLC programming experience. It would be helpful to have had some exposure to/experience of machine learning and/or other forms of AI. Embedded/low level/real time control using C/C++, exposure to and knowledge of fieldbus technologies an More ❯

environments. You’ll be responsible for producing robust, production-ready code that integrates AI models - especially computer vision- into client systems. You won’t be expected to build deep learning models from scratch but will play a key role in engineering and maintaining full CI/CD pipelines to deploy AI solutions reliably. The role also includes data analysis … in production. This role is ideal for experienced software engineers with strong Python and CI/CD skills who want to move into computer vision and AI. Prior deep learning experience is beneficial but not essential, as you’ll be supported to develop this expertise. What You’ll Do Engineer resilient, deployable software that connects AI models to client … Need Strong software engineering skills in Python (including NumPy, OpenCV) Experience with CI/CD pipelines, testing frameworks, and deployment best practices Comfortable working in Linux environments Familiarity with ML tooling and pipeline orchestration Good understanding of software engineering principles, reliability, and production readiness Basic knowledge of computer vision concepts; experience with deep learning models is a plus but More ❯