101 to 125 of 3,144 Machine Learning Jobs in the UK

Salary ~£70,000 + 10% bonus | SC Clearable A specialist technology consultancy is seeking a Data Science and Machine Learning Research Scientist to develop novel AI/ML solutions for complex, real-world challenges in national security and defence. Working within a mission-led, multidisciplinary team, youll help shape next-generation tools across areas such as multi-modal … impact use cases. Key Responsibilities Conduct applied research in data science and machine learning, with a focus on real-world decision-making applications Design, implement, and evaluate ML models for structured and unstructured data Contribute to R&D proposals, technical reports, and demonstrator systems Collaborate with domain experts, academic partners, and internal teams to deliver mission-relevant innovation … Support mentoring and knowledge sharing within the wider AI/ML group About You PhD or Masters degree in Computer Science, Machine Learning, Data Science, or related field 3+ years' experience in applied R&D or research consultancy (public sector/defence background advantageous) Strong Python skills and experience with ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn) Expertise More ❯

Groups AI Implementation Chapter is seeking a Machine Learning Engineer to be part of a team dedicated to building and supporting Generative AI, Machine Learning (ML) and Data Science solutions across the Fitch Ratings organization. This position could be based out of our Chicago, London, or Manchester offices. The AI Chapters team objectives: Implement AI & ML … and support enterprise-level AI exploration tools and capabilities Provide guidance for efficient and secure development and deployment of AI Establish and maintain guidelines and processes for AI/ML governance How Youll Make an Impact: Work closely with or as part of product squads to build, integrate, and deploy AI and ML solutions, sharing best practices and learnings with … other squad members. Effectively communicate data science & ML concepts to stakeholders, focusing on applicability to Fitch use cases Collaborate in developing and deploying ML & Gen AI solutions to meet enterprise goals and support innovation and experimentation. Collaborate with data scientists to identify innovative solutions that leverage data to meet business objectives. Develop, in collaboration with senior engineers, scalable solutions and More ❯

Synechron is looking for a skilled Machine Learning Developer with expertise in Spark ML to work with a leading financial organisation on a global programme of work. The role involves predictive modeling, and deploying training and inference pipelines on distributed systems such as Hadoop. The ideal candidate will design, implement, and optimise machine learning solutions for … large-scale data processing and predictive analytics. Role: Develop and implement machine learning models using Spark ML for predictive analytics Design and optimise training and inference pipelines for distributed systems (e.g., Hadoop) Process and analyse large-scale datasets to extract meaningful insights and features Collaborate with data engineers to ensure seamless integration of ML workflows with data pipelines … tasks Strong understanding of predictive modeling techniques (e.g., regression, classification, clustering) Experience with distributed systems like Hadoop for data storage and processing Proficiency in Python, Scala, or Java for ML development Familiarity with data preprocessing techniques and feature engineering Knowledge of model evaluation metrics and techniques Experience with deploying ML models in production environments Permanent or Contract position - Swift onboarding More ❯

Social network you want to login/join with: ML Operations Engineer II (Viator), Oxford col-narrow-left Client: Location: Oxford, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Reference: adae2754f7c6 Job Views: 3 Posted: 12.07.2025 Expiry Date: 26.08.2025 col-wide Job Description: About Viator Viator, a Tripadvisor company, is the leading marketplace for … mission is to make data scientists more productive and to enable broader and deeper utilization of machine learning techniques to help improve the business performance. As an ML Ops Engineer, you will play a pivotal role in our dynamic team, you will have the opportunity to learn many cutting edge technologies around Machine Learning Platform, as … also push the boundaries, to test, develop and implement new ideas, technology and opportunities. Your primary responsibilities will include: Empowering Data Science and ML teams, by providing the tools and infrastructure necessary for seamless execution of data science and machine learning tasks. Support tech stack evolution, by developing across our existing technology stack while contributing to our migration More ❯

mission is to make data scientists more productive and to enable broader and deeper utilization of machine learning techniques to help improve the business performance. As an ML Ops Engineer, you will play a pivotal role in our dynamic team, you will have the opportunity to learn many cutting edge technologies around Machine Learning Platform, as … also push the boundaries, to test, develop and implement new ideas, technology and opportunities. Your primary responsibilities will include: Empowering Data Science and ML teams, by providing the tools and infrastructure necessary for seamless execution of data science and machine learning tasks. Support tech stack evolution, by developing across our existing technology stack while contributing to our migration … and real-time model needs, ensuring smooth deployment and operation of machine learning models. Foster a culture of innovation by generating and promoting new ideas within the ML Ops domain. Find creative solutions to complex problems, pushing the boundaries of what is possible. Touch code at every level - from the UI, backend microservices, database, big data processing, operations More ❯

mission is to make data scientists more productive and to enable broader and deeper utilization of machine learning techniques to help improve the business performance. As an ML Ops Engineer, you will play a pivotal role in our dynamic team, you will have the opportunity to learn many cutting edge technologies around Machine Learning Platform, as … also push the boundaries, to test, develop and implement new ideas, technology and opportunities. Your primary responsibilities will include: Empowering Data Science and ML teams, by providing the tools and infrastructure necessary for seamless execution of data science and machine learning tasks. Support tech stack evolution, by developing across our existing technology stack while contributing to our migration … and real-time model needs, ensuring smooth deployment and operation of machine learning models. Foster a culture of innovation by generating and promoting new ideas within the ML Ops domain. Find creative solutions to complex problems, pushing the boundaries of what is possible. Touch code at every level - from the UI, backend microservices, database, big data processing, operations More ❯

mission is to make data scientists more productive and to enable broader and deeper utilization of machine learning techniques to help improve the business performance. As an ML Ops Engineer, you will play a pivotal role in our dynamic team, you will have the opportunity to learn many cutting edge technologies around Machine Learning Platform, as … also push the boundaries, to test, develop and implement new ideas, technology and opportunities. Your primary responsibilities will include: Empowering Data Science and ML teams, by providing the tools and infrastructure necessary for seamless execution of data science and machine learning tasks. Support tech stack evolution, by developing across our existing technology stack while contributing to our migration … and real-time model needs, ensuring smooth deployment and operation of machine learning models. Foster a culture of innovation by generating and promoting new ideas within the ML Ops domain. Find creative solutions to complex problems, pushing the boundaries of what is possible. Touch code at every level - from the UI, backend microservices, database, big data processing, operations More ❯

Sr. Specialist BD, AI/ML/GenAI, SSO/GenAI Team Amazon Web Services, an Company, has been the world's leading cloud provider for more than 17 years with the most mature, comprehensive, and broadly adopted cloud platform. We have over 200 fully featured cloud services, managed from 114 availability zones within 36 geographic regions across the globe. … companies in financial services, pharmaceuticals, and technology. AWS customers are looking for ways to transform their businesses and solve their own complex business challenges with machine learning (ML) technologies in the cloud. AWS is leading the way in providing customers with end-to-end AI/ML/GenAI platforms such as Bedrock, SageMaker. Are you passionate about … AI/ML/GenAI, Deep Learning, and scalable distributed systems? Are you passionate about developing impactful ML content and strategies? Are you passionate about engaging the Artificial Intelligence community (AI researchers, developers building ML-powered products, data scientists and ML entrepreneurs in startups and enterprises)? AWS is seeking a Sr. Specialist BD for AI/ML/GenAI. More ❯

strive to be the best in industry for our users. As a Data Scientist at Sporty, you will play a vital role in developing innovative data science solutions and machine learning models to drive business impact. Working closely with our Trading, Product, and Tech teams, you will leverage your expertise to tackle a wide range of business challenges … translating them into supervised and/or unsupervised learning problems. Who We Are Sporty Group is a consumer internet and technology business with an unrivalled sports media, gaming, social and fintech platform which serves millions of daily active users across the globe via technology and operations hubs across more than 10 countries and 3 continents. The recipe for our … users further via their grit and innovation. Responsibilities Create data science solutions to address a variety of business challenges that can be translated to supervised and/or unsupervised learning problems using statistical and machine learning models Participate in monitoring and evaluation of performance of existing models Develop advanced quantitative models and concepts, such as LTV models More ❯

ll join their Data Science team working on complex problems for their digital advertising platform that processes millions of requests per second. You'll collaborate directly with Data Scientists, ML engineers, and the CTO/Co-Founder on building pipelines and ad optimization models. The role offers a perfect blend of big data challenges and cutting-edge ML applications in … and innovation. The position offers competitive compensation, comprehensive benefits, and the flexibility to work remotely from anywhere in the UK. You'll be instrumental in designing and implementing scalable ML pipelines, working with microservice architectures, and handling massive datasets in a low-latency environment. The company's commitment to personal development, work-life balance, and inclusive culture makes it an … ideal place for ambitious ML engineers looking to make a significant impact in the adtech industry. Last updated 3 months ago Responsibilities For Senior/Staff Machine Learning Engineer Design modular and scalable real time data pipelines to handle huge datasets Suggest, implement, and coordinate architectural improvements for big data ML pipelines Understand and implement custom ML algorithms More ❯

from Vallum Associates Machine Learning/MLOps Engineer Leading Energy Company Location: Remote - London Type: Contract - 6 months rolling About the Role We're looking for an ML Ops Engineer to join a leading energy company as part of the Wholesale Markets team. This role focuses on building the infrastructure and tooling to help data scientists turn research … data and advanced analytics to forecast market movements, manage risk, optimize generation assets, and support energy procurement. You'll work closely with the Tech Lead and support the full ML lifecycle - from training to deployment - using AWS SageMaker and modern DevOps practices. This is an engineering-focused role, not a mathematical modeling one. What Youll Do Build and maintain ML …/CD, monitoring, and model versioning. Ensure infrastructure is scalable, secure, and robust. Automate model lifecycle processes to support rapid iteration and reliability. What Youll Need Strong experience in ML Ops with a focus on machine learning systems. Proficiency with AWS SageMaker, Python, Docker, and workflow orchestration tools. Familiarity with infrastructure-as-code (e.g., Terraform, CloudFormation). Experience More ❯

Senior Machine Learning Engineer Up to £100,000 London (Fully Remote) Company: Join an innovative, fast-paced crypto start-up at the forefront of cutting-edge technology. This is your opportunity to work with the latest advancements and take a pivotal role in advancing their analytics platform. As a Senior Machine Learning Engineer, you’ll be … at the forefront of innovation, developing and implementing machine learning models to optimize the platform’s performance. You’ll work with a dynamic team, leveraging state-of-the-art technologies to drive the company’s growth. Responsibilities: Develop and deploy machine learning models to enhance the analytics platform. Collaborate with cross-functional teams to define and … implement AI-driven solutions. Work on innovative, data-driven projects within the crypto space. Stay up to date with the latest trends in machine learning and crypto technologies. Requirements: Proven experience as a Machine Learning Engineer, with a strong understanding of algorithms and data modelling. Experience in Python, TensorFlow, or similar frameworks. A passion for cryptocurrency More ❯

supporting them in their day-to-day tasks. As a Sr. Machine Learning Engineer, you will need to: Develop a state of the art data science and ML runtime stack in a multi-cloud environment. Lead on software engineering and software design for ML components. Understand and use computer science fundamentals, including data structures, algorithms, computability and complexity … and computer architecture. Manage the infrastructure and pipelines needed to bring models and code into production. Demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created. Build algorithms based on statistical modelling procedures and maintain scalable machine learning solutions in production. Apply machine learning algorithms and … libraries. Research and implement best practices to improve the existing machine learning infrastructure. Collaborate with data engineers, application programmers, and data scientists. Desired skills: Qualification in a related field such as computer science, statistics, electrical engineering, mathematics, or physical sciences. Self-starter with excellent communication and time management skills. Strong computer programming skills, with knowledge of Python, R More ❯

As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the training and deployment of large-scale ML models across our global operations. You'll collaborate with leading researchers, hardware experts, and software engineers to build robust solutions that maximize the potential of GPU acceleration, distributed computing, and the latest open-source … GPU hardware and acceleration libraries Design scalable model frameworks capable of handling high-volume trading data and delivering real-time, high-accuracy predictions Collaborate with quantitative researchers to automate ML experiments, hyperparameter tuning, and model retraining Partner with HPC specialists to optimize workflows, improve training speed, and reduce costs Evaluate and roll out third-party tools to enhance model development … training, and inference capabilities Dig into the internals of open-source ML tools to extend their capabilities and improve performance Your Skills and Experience: 5+ years of experience in machine learning with a focus on training or inference systems Hands-on experience with real-time, low-latency ML pipelines in high-performance environments is a strong plus Strong More ❯

Engineer, you will be responsible for designing, deploying, and maintaining scalable infrastructure and processes that support our AI systems in production. Your time will be divided between improving our ML infrastructure, building deployment and monitoring systems, and working closely with our ML engineers and product teams. This is an excellent opportunity for those with strong Engineering and DevOps capabilities and … in operationalising AI solutions. We are looking for someone with complementary skills that extend into infrastructure and observability, preferably with experience in E-Commerce. The AI team owns all ML-related research, implementation and maintenance. In practice, this means keeping up to date with best practices in production ML, developing and supporting scalable infrastructure, and enabling faster and safer experimentation … and deployment. Responsibilities Proactive approach with team members and clients Continuous improvement of ML infrastructure and operations Take ownership of the deployment and monitoring pipelines within your expertise Contribute to the ongoing innovation R&D projects by enabling production readiness Maintain and implement CI/CD pipelines, observability, and infrastructure for ML services Requirements Degree in relevant field with 3+ More ❯

Machine Learning Engineer - Search and Recommendation Join to apply for the Machine Learning Engineer - Search and Recommendation role at JD.COM Machine Learning Engineer - Search and Recommendation 1 month ago Be among the first 25 applicants Join to apply for the Machine Learning Engineer - Search and Recommendation role at JD.COM JD.com (NASDAQ: JD … including retail, technology, logistics, healthcare, and more, aiming to transform traditional business models with cutting-edge digital solutions. Know more about us: We have an exciting opportunity for a Machine Learning Engineer to join our growing technical team at Joybuy ( Joybuy is JD.coms European full-category online retail brand designed to bring customers a faster, more convenient, and … level Seniority level Not Applicable Employment type Employment type Full-time Job function Industries Construction Referrals increase your chances of interviewing at JD.COM by 2x Get notified about new Machine Learning Engineer jobs in London, England, United Kingdom . London, England, United Kingdom 2 weeks ago London, England, United Kingdom 5 days ago London, England, United Kingdom More ❯

Applied Scientist, ATS Machine Learning & Engineering Job ID: Amazon UK Services Ltd. Are you interested in building state-of-the-art machine learning systems for the most complex, and fastest growing, transportation network in the world? If so, Amazon has the most exciting, and never-before-seen, challenges at this scale (including those in sustainability, e.g. … of unique products, and that improve experience of over hundreds of millions of online shoppers. As part of this team you will focus on the development and research of machine learning solutions and algorithms for core planning systems, as well as for other applications within Amazon Transportation Services, and impact the future of the Amazon delivery network. Current … operations and execution while driving quality improvements and enhanced customer experience across the entire value chain. BASIC QUALIFICATIONS - PhD, or a Master's degree and experience in CS, CE, ML or related field - Experience in building models for business application - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or More ❯

skills and experience talk with your recruiter to learn more. Base pay range Direct message the job poster from SR2 | Socially Responsible Recruitment | Certified B Corporation Senior Recruitment Consultant - Machine Learning & AI Recruiter | Connecting Top Talent with Cutting-Edge Companies Head of Data Science/Analytics & Consulting | London | 95,000 - 100,000 | Hybrid 2 Days a Week In … Kingdom . London, England, United Kingdom 10 hours ago Head of Enterprise Data Science and AI Platforms London, England, United Kingdom 3 weeks ago Head of Data - Data Science & ML Engineering London Area, United Kingdom 130,000.00-130,000.00 1 month ago London, England, United Kingdom 2 weeks ago Western Europe Practice Head - Data Science (Machine Learning/… Artificial Intelligence (ML/AI) London, England, United Kingdom 5 days ago London, England, United Kingdom 2 weeks ago Director, Machine Learning Science - Revenue Optimization London, England, United Kingdom 10 hours ago London, England, United Kingdom 5 days ago London Area, United Kingdom 120,000.00-150,000.00 23 hours ago London, England, United Kingdom 1 week ago London More ❯

science and engineering teams, ensuring that our machine learning models are deployed, monitored, and scaled efficiently and reliably. Youll be responsible for the entire lifecycle of our ML models in production, from building automated deployment pipelines to ensuring their performance and stability. This role is ideal for a hands-on engineer who is passionate about building robust, scalable … reliability and uptime. Collaborate with Data Scientists to containerize and productionize models and algorithms, including those involving RAG and Graph RAG approaches. Manage and optimize our cloud infrastructure for ML workloads on platforms like Amazon Bedrock or similar, focusing on performance, cost-effectiveness, and scalability. Automate the provisioning of ML infrastructure using Infrastructure as Code (IaC) principles and tools. Work … closely with product and engineering teams to integrate ML models into our production environment and ensure seamless operation within the broader product architecture. Own the operational aspects of the AI lifecycle, from model deployment and A/B testing to incident response and continuous improvement of production systems. Contribute to our AI strategy and roadmap by providing expertise on the More ❯

The Role - Senior Software Engineer We are seeking a talented Senior Developer with a strong focus on Python-based AI/ML development, automation, and general software engineering. The successful candidate will play a key role in building and deploying machine learning features and data-driven applications. You will work on end-to-end solutions - from writing robust … machine learning models into our product ecosystem. This role requires a mix of software engineering excellence, an eye for automation, and hands-on experience with AI/ML frameworks. If you are passionate about leveraging Python to solve complex problems and deliver scalable AI solutions, we want to hear from you. Experience in the travel or retail industry … Responsibilities Design, implement, and maintain software components that incorporate machine learning algorithms and data processing. Develop clean, efficient Python code for both backend logic and integration of ML models. Understand the business drivers behind each feature. Create and optimise data pipelines to collect, preprocess, and transform data for machine learning and analytics. Work with large datasets More ❯

to explain what you do to your family again! Design reusable assets, solutions and develop best practices for current and future business problems. Consult on complex analyses and advanced machine learning methods. Communicate and provide guidance to senior client leadership and teams. Shape AI Strategy and the delivery of LLM based solutions. Operate across multiple industries and functions. … on containerization, performance monitoring, and production deployment. Consult on leveraging cloud platforms like AWS, Azure, and GCP to facilitate scalable model deployment. Partner with developers and engineers to deploy machine learning algorithms that drive measurable business value. Ensure Responsible and Ethical AI Collaborate with cloud vendors to integrate Responsible AI principles and standards into LLM evaluations and applications … Senior Consultant, Data Scientist - Software Engineering - Digital Engineering - FS London, England, United Kingdom 2 weeks ago Western Europe Practice Head - Data Science (Machine Learning/Artificial Intelligence (ML/AI) London, England, United Kingdom 2 weeks ago Associate Director - Research & Insights AI Associate Director, Life Sciences, Research & Development London, England, United Kingdom 2 weeks ago Senior Manager - Machine More ❯

Description We're seeking a Junior Machine Learning Engineer to join our transversal Data team, where you'll support the transformation and modernisation of our machine learning platform. You'll collaborate across the organisation to define and implement MLOps best practices, while designing, implementing, and maintaining the infrastructure, essential for the development and deployment of machine learning models. Working closely with data scientists, data engineers, solution engineers, and other stakeholders, you'll ensure the seamless integration of machine learning models into our production systems, driving innovation and excellence within AXA UK. At AXA we work smart, empowering our people to balance their time between home and the office in a way that … and external communities and working groups. Develop reliable, scalable machine learning pipelines on Azure Databricks. Design workflows with MLFlow for the effective development, deployment, and monitoring of ML models. Stay updated on advancements in MLOps, LLMOps, Azure, and Databricks, identifying opportunities to improve ML capabilities. Work on pioneering projects that leverage data analytics and AI to revolutionise our More ❯

the ecosystem, operate and deliver value provides an unparalleled opportunity to grow and advance. In this role you will: Lead, motivate and inspire teams of Data Scientists Create bespoke machine learning solutions to model/solve problems and to help develop the team Solve challenging business problems using advanced machine learning methods such as Deep Learning … Understand business requirements and support the development of business cases Run discovery analytics to identify new and innovative opportunities Partner with developers and engineers to deploy, embed and scale machine learning models to deliver complex/critical projects Devise reusable assets, solutions and develop best practices for current and future business problems Lead analytical discussions and influence analytical … to senior client leadership and teams Contribute data science expertise to new sales activities We are looking for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languages eg. Python, R, Scala, etc. (Python preferred) Strong proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and More ❯

This innovative team of engineers and scientists are using machine learning tightly integrated with modern electronics to create new classes of products and radically alter the shape, performance and effectiveness of existing ones. As industry goes through a machine learning revolution you can be here, leading the charge. You will work across the whole machine learning development lifecycle from initial concepts through data collection, cleaning and preparation to prototyping, testing and evaluation. With your models integrated with leading edge electronics, the final products are fully functional prototypes and demonstrator units manufactured at small scale. What's special about this group is they do this dozens of times per year working across multiple domains. … one project and generative models for the next. Requirements: Strong knowledge of Python and its use in machine learning including hands-on experience building products with modern ML frameworks such as TensorFlow and PyTorch Broad knowledge of machine learning techniques across multiple domains and the ability to transition into new domains quickly A top degree in More ❯

Applied Scientist, ATS Machine Learning & Engineering (ML&E) Job ID: Amazon EU SARL (Spain Branch) Are you interested in building state-of-the-art machine learning systems for the most complex, and fastest growing, transportation network in the world? If so, Amazon has the most exciting, and never-before-seen, challenges at this scale (including those … work within our team include machine learning forecasting, planning systems and robust decision making on large networks, as well as uncertainty quantification, generative models on graphs and ml explainability, among others. We are looking for an Applied Scientist with a strong academic background in the areas of machine learning, time series forecasting, and/or optimization. … from Amazon's customers aiming to make transportation faster, cheaper, safer, more reliable and ecologically sustainable. BASIC QUALIFICATIONS - PhD, or a Master's degree and experience in CS, CE, ML or related field - Experience in building models for business application - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or More ❯