1 to 25 of 2,467 Machine Learning Jobs in the UK

model development and production deployment will be key to delivering robust, high-impact machine learning solutions. You'll be expected to understand and implement methodologies from the ML Ops lifecycle.You'll also be expected to work in an Agile environment, contributing to iterative development cycles, collaborating across disciplines, and adapting quickly to changing requirements. Key Responsibilities Develop and … maintain infrastructure for deploying ML models in both real-time and batch environments. Build and maintain Python APIs (Flask/FastAPI) to serve ML models. Collaborate with cross discipline engineers to integrate ML services into user-facing applications. Work with platform engineers to align with infrastructure best practices and ensure scalable deployments. Review pull requests and contribute to code quality … across the MLE team. Monitor and maintain cloud-based ML services, ensuring reliability and performance. Design and implement CI/CD pipelines for ML model deployment. Write unit tests and follow object-oriented programming principles to ensure maintainable code. Support data modelling and cloud networking tasks as needed. Contribute to the development and improvement to our model registry, including tracking More ❯

and AI at Trainline Machine learning is at the heart of Trainline's mission to help millions of people make sustainable travel choices every day. Our ML models power critical aspects of our platform, including: Advanced search and recommendations capabilities across our mobile and web applications Pricing and routing optimisations to find the best fares for customers … for a Junior Machine Learning Engineer to join our team help shape the future of train travel. You will be part of a highly innovative AI and ML platform working alongside engineers, scientists and product managers to tackle complex challenges by combining Trainline's rich datasets with cutting edge algorithms. What unites our team is an expertise in … travel. As a part of Trainline you will be joining an environment where learning and development is top priority. You will have the opportunity to work with fellow ML enthusiasts on large-scale production systems, delivering highly impactful products that make a difference to our millions of users. As a Junior Machine Learning Engineer at Trainline you More ❯

commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As an Applied AI ML Director - NLP/LLM and Graphs within the Chief Data & Analytics Office, Machine Learning Centre of Excellence, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including natural language processing, graph analytics, speech analytics, time series, reinforcement learning and recommendation systems. You will collaborate with various teams and actively participate in our knowledge sharing community. We are looking for someone who excels in a highly collaborative environment, working together with our business, technologists and control partners to deploy solutions into … production. If you have a strong passion for machine learning and enjoy investing time towards learning, researching and experimenting with new innovations in the field, this role is for you. We value solid expertise in Deep Learning with hands on implementation experience, strong analytical thinking, a deep desire to learn and high motivation. Job Responsibilities Research More ❯

Innovative Companies by Fast Company. We realize people do not fit into neat boxes. We are looking for curious and empathetic individuals who are committed to developing themselves and learning new skills, and we are ready to help you do that. We cannot complete our mission without building a diverse and inclusive team. We hire the best people based … efficiency, synthesizing findings into actionable threat intelligence to better protect our customers.The team's core disciplines are data engineering, data science, devops, and security. We use data science and machine learning to process large volumes of data and build threat intelligence for Cloudflare's customers About the Role We're looking for a Machine Learning Engineer … to join our team and lead the charge in applying cutting-edge machine learning to cyber threat intelligence. In this highly impactful, hands-on role, you'll design, develop, and deploy scalable machine learning models that leverage massive datasets from our global network to identify and neutralize sophisticated cyber threats. Your expertise will directly enhance our More ❯

Machine Learning Engineer Description The company We are a rapidly growing startup developing solutions that blend human expertise and AI agents to handle manual customer and marketplace operations tasks. Our unique approach combines the strengths of human expertise (high accuracy and nuanced decision-making) with the advantages of AI automation (speed and cost efficiency). This cutting-edge … the beginning of our journey - and we are very excited about our plans for growth over the coming year and beyond! The role We are now looking for a Machine Learning Engineer to build and deliver innovative AI products to our customers. Your software expertise and machine learning knowledge will help transform our customers' manual processes … analytical skills to understand customer challenges and collaborate with them to leverage our AI in the automation of their work. Initially, you will provide hands-on support for our machine learning models as they come to market, but then will gradually develop self-service tools that empower customers to achieve value independently. As part of this role, you More ❯

Informatics (REF 2021). Why study AI and Machine Learning at UCL Computer Science UCL is a powerhouse in Artificial Intelligence (AI) and Machine Learning (ML), renowned for shaping some of the field's most important advances and training graduates who go on to lead in the global tech industry. Our interdisciplinary programmes blend theory with … Our programmes Artificial Intelligence for Biomedicine and Healthcare MSc - This one-year, interdisciplinary MSc will equip you with advanced AI skills to revolutionise biomedicine and healthcare. Combining foundations of ML and AI with biomedicine and healthcare, you'll learn how to harness AI to craft innovative solutions. Artificial Intelligence for Sustainable Development MSc - This specialist MSc programme combines the technical … excel in an increasingly data driven world. In collaboration with renowned centres like the Gatsby Computational Neuroscience Unit and Google DeepMind, this programme uniquely blends statistical rigour with advanced ML techniques. Data Science and Machine Learning MSc - Become a changemaker in the world of data science and machine learning through one of the most established Master More ❯

Career Opportunities: AI and Machine LearningEngineer - (10783) Requisition … ID 10783 -Posted - Years of Experience (1) - Technology - Where (1) - Job DATA REPLY are data specialists, offering data platforms, BI, advanced analytics and AI/Machine Learning (ML) solutions to drive business success. We specialise in developing, deploying and operating production data solutions on AWS cloud. Role overview: As a AI & Machine Learning Engineer, you'll … instrumental inthe design and development of machine learningprocesses in a variety of client environments. You will analyse client requirements and help generate suitable recommendations. You will help managethe ML lifecycle fromdata selection and collection, ML model design and creation all the way through tooperationalizationand monitoring. You will work closely with data scientists and senior MLOps Engineers to understand and More ❯

ll be joining the team leading Entrust's Identity portfolio, formerly known as Onfido (an AI- powered digital identity solution). Our technology helps businesses verify real identities using machine learning, ensuring secure remote customer onboarding. By assessing government- issued identity documents and facial biometrics using state-of-the-art machine learning, we provide companies with … securely while allowing people to access services quickly and safely. Our Applied Scientist team consists of about twenty machine learning scientists. The team is supported by an ML Ops team that provides state-of-the-art tooling (including AWS, Encord, Ray, PyTorch Lightning and Weights & Biases). The Applied Science team works closely with product engineering to deploy … may be a g ood fit if y ou: Have strong experience in machine learning and computer vision. Have a strong record of successfully delivering high-performance ML-driven products. Have a deep understanding of machine learning theory. Have strong coding skills in Python and PyTorch. Care about building fair and cutting-edge machine learning More ❯

ll be joining the team leading Entrust's Identity portfolio, formerly known as Onfido (an AI- powered digital identity solution). Our technology helps businesses verify real identities using machine learning, ensuring secure remote customer onboarding. By assessing government- issued identity documents and facial biometrics using state-of-the-art machine learning, we provide companies with … securely while allowing people to access services quickly and safely. Our Applied Scientist team consists of about twenty machine learning scientists. The team is supported by an ML Ops team that provides state-of-the-art tooling (including AWS, Encord, Ray, PyTorch Lightning and Weights & Biases). The Applied Science team works closely with product engineering to deploy … may be a g ood fit if y ou: Have strong experience in machine learning and computer vision. Have a strong record of successfully delivering high-performance ML-driven products. Have a deep understanding of machine learning theory. Have strong coding skills in Python and PyTorch. Care about building fair and cutting-edge machine learning More ❯

ll be joining the team leading Entrust's Identity portfolio, formerly known as Onfido (an AI- powered digital identity solution). Our technology helps businesses verify real identities using machine learning, ensuring secure remote customer onboarding. By assessing government- issued identity documents and facial biometrics using state-of-the-art machine learning, we provide companies with … securely while allowing people to access services quickly and safely. Our Applied Scientist team consists of about twenty machine learning scientists. The team is supported by an ML Ops team that provides state-of-the-art tooling (including AWS, Encord, Ray, PyTorch Lightning and Weights & Biases). The Applied Science team works closely with product engineering to deploy … may be a g ood fit if y ou: Have strong experience in machine learning and computer vision. Have a strong record of successfully delivering high-performance ML-driven products. Have a deep understanding of machine learning theory. Have strong coding skills in Python and PyTorch. Care about building fair and cutting-edge machine learning More ❯

ll be joining the team leading Entrust's Identity portfolio, formerly known as Onfido (an AI- powered digital identity solution). Our technology helps businesses verify real identities using machine learning, ensuring secure remote customer onboarding. By assessing government- issued identity documents and facial biometrics using state-of-the-art machine learning, we provide companies with … securely while allowing people to access services quickly and safely. Our Applied Scientist team consists of about twenty machine learning scientists. The team is supported by an ML Ops team that provides state-of-the-art tooling (including AWS, Encord, Ray, PyTorch Lightning and Weights & Biases). The Applied Science team works closely with product engineering to deploy … may be a g ood fit if y ou: Have strong experience in machine learning and computer vision. Have a strong record of successfully delivering high-performance ML-driven products. Have a deep understanding of machine learning theory. Have strong coding skills in Python and PyTorch. Care about building fair and cutting-edge machine learning More ❯

where you'll be shaping the future of secure data systems and AI capabilities in some of the most critical areas of the UK's national infrastructure. As a Machine Learning Engineer, you'll be part of a forward-thinking team solving complex, real-world challenges through advanced analytics, automation, and intelligent systems. This is your chance to … IT with bespoke Operational Technology, all in a fast-paced, collaborative environment. We're looking for curious, creative minds-people who are not only technically skilled in Python and machine learning but also eager to explore, learn, and build secure, scalable AI solutions. Responsibilities Building, integrating, testing and scaling models including NLP and Computer Vision. Take ownership of … developing, training and productionising machine learning lifecycles, adhering to best practices, security needs and quality assurance. Developing deep learning architectures and implementing neural networks tailored to complex use cases. Implementing and maintaining MLops workflows Collaborating closely with Data Engineers and DevOps teams to support continuous integration, deployment, and automation. Exploring new tools and frameworks to keep your More ❯

Machine Learning Engineer £700-750/day overall assignment rate to umbrella Fully remote … month initial A FTSE 100 retail client are on the look for a Machine Learning Engineer to join their data science function to drive cutting-edge ML technology across the business. Machine Learning Engineer, key skills: Significant experience working as a Machine Learning Engineer Solid knowledge of SQLandPython's ecosystem for data analysis (Jupyter … Pandas, Scikit Learn, Matplotlib). GCP, VertexAI experience is desirable (developing GCP machine learning services) Timeseries forecasting Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling and software architecture Strong knowledge of Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) as well as state-of-the-art research area (e.g. NLP More ❯

less environmental impact. .# Job Description # Key Responsibilities May Include: Collaborate with key stakeholders to identify business challenges, translating ambiguous problems into structured analyses using statistical modelling and machine learning algorithms. Lead the selection, validation, and optimization of models to discover meaningful patterns and insights, ensuring models remain relevant, reliable, and scalable. Drive continuous integration and deployment … of data science solutions, optimizing performance through advanced machine learning techniques, code reviews, and best practices. 'Develop and deliver sophisticated visualizations, dashboards, and reports translate complex data into clear, actionable insights for business stakeholders. Present technical solutions to business stakeholders, using creative methods to explain complex concepts, increase understanding, and encourage solution adoption. Mentor and develop junior data … and experience following CRISP-DM data science lifecycle. Expertise taking projects from ideation or experimental Jupyter notebooks to full production deployment. Strong programming skills in Python, with familiarity in ML libraries/frameworks such as TensorFlow, PyTorch, and Scikit-learn. Experience with MLOps practices including model drift detection, decay, A/B testing, integration testing, differential testing, Python package building More ❯

the beginning of our journey - and we are very excited about our plans for growth over the coming year and beyond! The role We are now looking for a Machine Learning Engineer to build and deliver innovative AI products to our customers. Your software expertise and machine learning knowledge will help transform our customers' manual processes … analytical skills to understand customer challenges and collaborate with them to leverage our AI in the automation of their work. Initially, you will provide hands-on support for our machine learning models as they come to market but then will gradually develop self-service tools that empower customers to achieve value independently. As part of this role, you … development of our Virtual Agent development platform that scales with our product strategy. Ensure our AI services maintain high standards of reliability, observability, availability, and performance. Participate in our machine learning community to influence how we implement machine learning and computer vision technologies, shaping Unitary's future. Take ownership of customer outcomes with the autonomy to More ❯

sustainable and innovative ways we work to bring people together, there's something for everyone to get stuck into. And that's where you come in. Description Job title: Machine Learning Engineering Lead Location: Southampton Your new role Here at Hitachi Rail, we have a fantastic opportunity for a Machine Learning Engineering Lead to join our … productionising algorithms, working with other teams in the larger Perpetuum Onboard team, supporting new product development and delivering insights to customers. This role will involve taking technical leadership of machine learning activities, in particular owning and driving development of the Machine Learning based elements of condition monitoring systems, such as Hitachi Rail's OLE monitoring system. … specific items in the latest agreed Development Roadmap, with the objective of providing a world-class level of analytics expertise. To be the principal contact and technical lead for Machine Learning in the team, delivering solutions and technical guidance on this for all aspects of condition monitoring, particularly the OLE monitoring. Lead Machine Learning development projects More ❯

looking for Machine Learning Specialists, and we’re hoping it’s you! In this role, you’ll play a leading role in helping both customers with their ML validation challenges and in helping drive our product forward with insights on how to build the best validation solutions for high-stakes machine vision problems. The specific focus of … this position is on ML-based computer vision in high-stakes applications in Aviation, Mobility, Robotics and Edge Devices, with particular emphasis on object detection and tracking. The role has customer & user-facing elements working on real world problems to help ML teams (R&D and Product within other organizations) improve the quality of their models, but also requires deep … foundational knowledge on ML-based computer vision. In addition you will also work closely with the Safe Intelligence R&D team to help improve the company’s tools based on the challenges you see in your domains of expertise. This can range from inputs to product to working on the product itself. Previous contributions to state-of-the-art machine More ❯

looking for Machine Learning Specialists, and we’re hoping it’s you! In this role, you’ll play a leading role in helping both customers with their ML validation challenges and in helping drive our product forward with insights on how to build the best validation solutions for high-stakes machine vision problems. The specific focus of … this position is on ML-based computer vision in high-stakes applications in Aviation, Mobility, Robotics and Edge Devices, with particular emphasis on object detection and tracking. The role has customer & user-facing elements working on real world problems to help ML teams (R&D and Product within other organizations) improve the quality of their models, but also requires deep … foundational knowledge on ML-based computer vision. In addition you will also work closely with the Safe Intelligence R&D team to help improve the company’s tools based on the challenges you see in your domains of expertise. This can range from inputs to product to working on the product itself. Previous contributions to state-of-the-art machine More ❯

who thrives in environments where reliability, scale, and impact truly matter. At Rightmove, you'll join a close-knit, collaborative AI team that's developing, shipping and operating live ML/AI services that help Rightmove deliver exceptional experiences and value to consumers, our partners and all our stakeholders across the UK property market. You'll be at the heart … deploying, and operating machine learning systems that leverage Rightmove's data at large scale. You'll have the opportunity to shape best practices, own and grow the ML Ops discipline, and help us move from first launches to robust, sustainable production. In this role, you will work in a cross-functional team to productionise machine learning … You'll collaborate closely with data scientists, engineers, and product teams to automate workflows, monitor performance, and retrain models as needed. You'll bring a passion for building reliable ML infrastructure, a strong technical foundation in modern machine learning engineering, and a track record of working in environments where reliability and scale are paramount. Our Data & Analytics team More ❯

This is a hands-on leadership role: you’ll set the AI strategy, design and scale production NLP and machine learning systems, and grow a high-performing ML team - while closely partnering with Product and Engineering to deliver real, measurable impact for customers. This VP of AI & Machine Learning will Take ownership of the company’s … AI roadmap — from concept to production. Build and scale NLP and ML models that turn complex organisational data into meaningful insights. Lead and develop a small ML engineering team, acting as a player-coach. Establish MLOps, monitoring, governance, and responsible AI practices. Work cross-functionally with Product, Engineering, and Customer teams. Represent AI and technology thinking to customers, partners, and … knowledge of MLOps (model versioning, monitoring, evaluation, drift detection). Hands-on expertise in Python, PyTorch/TensorFlow, HuggingFace, and vector search technologies. Experience leading or mentoring small, senior ML/data teams. Ability to translate technical work into clear product and business value. A pragmatic, delivery-focused mindset — comfortable in fast-moving, evolving environments. The tech environment: Python, PyTorch More ❯

users find and engage with products through advanced machine learning models improving search relevance, personalisation, and conversion outcomes at scale. You’ll lead a talented team of ML Scientists and collaborate cross-functionally with product, data, and engineering leaders to define and execute the ML roadmap for search. This is an opportunity to have tangible business impact while … for the Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | London, Hybrid, 1 Day PW, Up to £140,000 Lead, coach, and develop a team of ML Scientists, fostering a culture of experimentation, collaboration, and continuous learning. Partner with Product, Data, and Engineering leaders to shape and deliver an actionable ML strategy that drives engagement, conversion, and … design, training, and deployment of search and recommendation models — from data strategy to monitoring and performance optimisation. Collaborate with platform and MLOps teams to ensure robust, efficient, and scalable ML workflows (including CI/CD, feature management, and monitoring). Share insights and best practices across other ML teams, particularly in areas of recommendations, ranking, and multimodal representation learning. Stay More ❯

users find and engage with products through advanced machine learning models improving search relevance, personalisation, and conversion outcomes at scale. You’ll lead a talented team of ML Scientists and collaborate cross-functionally with product, data, and engineering leaders to define and execute the ML roadmap for search. This is an opportunity to have tangible business impact while … for the Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | London, Hybrid, 1 Day PW, Up to £140,000 Lead, coach, and develop a team of ML Scientists, fostering a culture of experimentation, collaboration, and continuous learning. Partner with Product, Data, and Engineering leaders to shape and deliver an actionable ML strategy that drives engagement, conversion, and … design, training, and deployment of search and recommendation models — from data strategy to monitoring and performance optimisation. Collaborate with platform and MLOps teams to ensure robust, efficient, and scalable ML workflows (including CI/CD, feature management, and monitoring). Share insights and best practices across other ML teams, particularly in areas of recommendations, ranking, and multimodal representation learning. Stay More ❯

users find and engage with products through advanced machine learning models improving search relevance, personalisation, and conversion outcomes at scale. You’ll lead a talented team of ML Scientists and collaborate cross-functionally with product, data, and engineering leaders to define and execute the ML roadmap for search. This is an opportunity to have tangible business impact while … for the Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | London, Hybrid, 1 Day PW, Up to £140,000 Lead, coach, and develop a team of ML Scientists, fostering a culture of experimentation, collaboration, and continuous learning. Partner with Product, Data, and Engineering leaders to shape and deliver an actionable ML strategy that drives engagement, conversion, and … design, training, and deployment of search and recommendation models — from data strategy to monitoring and performance optimisation. Collaborate with platform and MLOps teams to ensure robust, efficient, and scalable ML workflows (including CI/CD, feature management, and monitoring). Share insights and best practices across other ML teams, particularly in areas of recommendations, ranking, and multimodal representation learning. Stay More ❯

users find and engage with products through advanced machine learning models improving search relevance, personalisation, and conversion outcomes at scale. You’ll lead a talented team of ML Scientists and collaborate cross-functionally with product, data, and engineering leaders to define and execute the ML roadmap for search. This is an opportunity to have tangible business impact while … for the Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | London, Hybrid, 1 Day PW, Up to £140,000 Lead, coach, and develop a team of ML Scientists, fostering a culture of experimentation, collaboration, and continuous learning. Partner with Product, Data, and Engineering leaders to shape and deliver an actionable ML strategy that drives engagement, conversion, and … design, training, and deployment of search and recommendation models — from data strategy to monitoring and performance optimisation. Collaborate with platform and MLOps teams to ensure robust, efficient, and scalable ML workflows (including CI/CD, feature management, and monitoring). Share insights and best practices across other ML teams, particularly in areas of recommendations, ranking, and multimodal representation learning. Stay More ❯

users find and engage with products through advanced machine learning models improving search relevance, personalisation, and conversion outcomes at scale. You’ll lead a talented team of ML Scientists and collaborate cross-functionally with product, data, and engineering leaders to define and execute the ML roadmap for search. This is an opportunity to have tangible business impact while … for the Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | London, Hybrid, 1 Day PW, Up to £140,000 Lead, coach, and develop a team of ML Scientists, fostering a culture of experimentation, collaboration, and continuous learning. Partner with Product, Data, and Engineering leaders to shape and deliver an actionable ML strategy that drives engagement, conversion, and … design, training, and deployment of search and recommendation models — from data strategy to monitoring and performance optimisation. Collaborate with platform and MLOps teams to ensure robust, efficient, and scalable ML workflows (including CI/CD, feature management, and monitoring). Share insights and best practices across other ML teams, particularly in areas of recommendations, ranking, and multimodal representation learning. Stay More ❯