101 to 125 of 2,703 Machine Learning Jobs in England

will be an integral member of a collaborative multi-asset trading team. You’ll work on high-impact machine learning (ML) and artificial intelligence (AI) initiatives that are central to our business strategy. In this role, you will build critical infrastructure and tooling that leverages AI and ML … systems for continuous training, validation, and monitoring of models, minimizing downtime and ensuring reliability. Provide technical leadership in selecting, integrating, and optimizing AI and ML frameworks, libraries, and tools across diverse hardware and software environments. Create and maintain feature pipelines, feature stores, and model stores. Develop frameworks to enable scalable ...

Responsibilities Lead the Machine Learning Engineering team in the safe and effective operation of AI/ML products and services in production, maximising the value and adoption of data‐driven decision making across the business. Own service performance and continuous improvement, ensuring robust IT Service Management, regulatory compliance … model risk management, ethical AI standards and ongoing enhancements to user experience, efficiency, scalability and cost of operation. Define and deliver the AI/ML Ops platform strategy and roadmap, implementing modern engineering practices and leading‐edge techniques to enable rapid, scalable and cost‐effective delivery of machine learning ...

information beyond human vision. Certified for both open and minimally invasive surgery, our platform achievedUKCA certificationandFDA clearancein 2025 under a newly established AI/ML productcode, andwas admitted into the FDA’s Safer Technology Program. With multi-centre clinical evaluations underway and strategic partnershipswith world-leading technology and surgical manufactures … Notice. The role We are seeking an experienced Senior Machine Learning Engineer to support the development and deployment of our AI/ML surgical vision platform, taking algorithms from research prototype to production deployment, and building the data pipelines that turn our hyperspectral imaging system into a continuously ...

week) Salary: £70,000-£80,000 + Bonus We're working with a leading global technology consultancy that is investing heavily in Artificial Intelligence, Machine Learning and Advanced Analytics. They are looking for an AI Engineer to design, develop and deploy cutting-edge AI solutions that help transform … Engineer, you'll take ownership of designing and delivering AI-powered solutions from concept through to production. You'll work across machine learning, data engineering and software development to create scalable AI applications that improve reporting, forecasting and business intelligence. You'll be involved in the full ...

/ML Engineer (PhD graduate) As an AI/ML Engineer, you'll work on a diverse range of advanced research programmes where no two projects are the same. You'll investigate emerging machine learning techniques, develop novel algorithms and build proof-of-concept systems that address complex … technical challenges. Your responsibilities will include: Researching and evaluating state-of-the-art AI and machine learning techniques. Designing, implementing and training machine learning models for novel applications. Developing proof-of-concept systems and rapid prototypes. Designing experiments, analysing results and translating findings into practical engineering ...

high performing team of applied AI experts to drive innovation and new capabilities in the Commercial & Investment Bank. As an Applied AI/ML Senior Associate Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining … qualifications, capabilities, and skills Masters or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, Statistics Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Specialism or well-researched interest in NLP Broad knowledge of MLOps tooling ...

Senior Data Scientists into its highly regarded Alternative Pricing Product (APP) team. With over four million customers and significant investment in Data Science, Machine Learning and digital transformation, the business has built one of the strongest pricing and analytics capabilities in UK insurance. This is a genuinely innovative … environment where Data Scientists are encouraged to challenge conventional pricing methods, explore new data sources and develop cutting-edge machine learning solutions that directly influence commercial decisions. THE ROLE Joining a specialist team of six Data Scientists and Analysts, you'll play a key role in developing ...

Senior Data Scientists into its highly regarded Alternative Pricing Product (APP) team. With over four million customers and significant investment in Data Science, Machine Learning and digital transformation, the business has built one of the strongest pricing and analytics capabilities in UK insurance. This is a genuinely innovative … environment where Data Scientists are encouraged to challenge conventional pricing methods, explore new data sources and develop cutting-edge machine learning solutions that directly influence commercial decisions. THE ROLE Joining a specialist team of six Data Scientists and Analysts, you'll play a key role in developing ...

Overview AI/ML Engineers build, evaluate, and deploy machine‐learning systems at scale. The day‐to‐day work combines data preprocessing, model training (PyTorch, TensorFlow), evaluation against business or research metrics, and production deployment (FastAPI, Triton, Ray) with monitoring. The role increasingly overlaps with MLOps (model deployment … monitoring, retraining infrastructure) and applied ML research, taking new techniques from papers to production. Generative AI (LLMs, diffusion models) is the most active area of UK ML hiring in 2025–2026. Responsibilities Train, evaluate, and deploy machine‐learning models in production. Work across LLMs, computer vision, recommender systems ...

from scratch, channelling our start-up mentality every step of the way – meaning you’ll have the opportunity to make a real impact. Lead Machine Learning Scientist – International Consumer Bank Your responsibilities are to deliver end-to-end cutting-edge solutions in the form of cloud-native microservices … design and architecture of the solutions while also focusing on the entire SDLC lifecycle stages. Responsibilities Lead the development and maintenance of machine learning models to solve complex business problems. Develop the technical skills of junior colleagues through mentorship and training. Collaborate with cross‐functional teams to identify ...

prioritized based on business opportunities. You will proactively manage dependencies across the cross-functional team. This includes continuous collaboration with Machine Learning (ML) and Backend Engineers, particularly for post-purchase Estimated Time of Arrival (ETA) implementation. Communicate the team's direction and impact to senior stakeholders. Drive Business … primary interface between the Data Science team and the wider audience (Product, Operations, Engineering). Expertly translate complex data insights and machine learning concepts into clear, actionable business insights for non-technical audiences. Technical Guidance & Conceptual Design (Approx. 25%) Conceptual Model Design: Focus on the conceptual design ...

impact of products, features and commercial initiatives through world-class experimentation, causal inference and applied data science. Working at the intersection of data science, machine learning, product and commercial strategy, you will develop innovative measurement methodologies, define best practices, and provide technical leadership that enables teams across PlayStation …/B testing. You will solve complex measurement problems where controlled experiments are difficult or impossible, applying modern causal inference, statistical modelling and machine learning techniques to generate robust business insights. You will collaborate closely with product, engineering, analytics and business teams to raise the standard of experimentation ...

lead, develop, and empower our Data and AI teams. This role balances leadership with technical excellence; you’ll define how data, analytics, machine learning, and generative AI enable the wider business. You’ll work closely with senior stakeholders, translating business objectives into a clear Data and AI strategy … measure the impact of Data and AI initiatives, data quality, model performance, adoption, and team effectiveness Drive best practices across data engineering, analytics, machine learning, data governance, experimentation, model monitoring, and responsible AI Ensure that AI solutions are robust, explainable, compliant, and aligned to business outcomes Support career ...

creating the capability to deliver significantly more. As Head of Data Science, you'll play a pivotal role in identifying where advanced analytics, machine learning and optimisation can create the greatest value across the organisation, whilst ensuring solutions move efficiently from concept into production. The Opportunity … with senior leaders across Operations, Commercial and Finance to: Prioritise the highest-value opportunities Deliver measurable commercial and operational benefits Accelerate the adoption of machine learning and optimisation techniques to solve business problems Improve production standards and MLOps maturity Drive greater value from our enterprise data platform Establish ...

Senior through to Staff Machine Learning Engineers. Key Responsibilities Design, build and deploy production machine learning systems Own the full ML lifecycle, from data preparation through to training, evaluation and inference Turn research into reliable, production-ready ML solutions Optimise models for performance, latency, scalability … robust training and inference pipelines Debug complex production issues using real-world data and signals Mentor engineers and help drive engineering standards across the ML function Key Requirements Commercial experience building and deploying production ML systems Strong Python software engineering skills Experience training, fine-tuning or deploying modern machine ...

both structured and unstructured formats. Using strong critical‐thinking and problem‐solving skills, you’ll analyse and interpret data, build predictive models, and develop machine learning algorithms that generate actionable insights. You’ll propose solutions to business challenges and collaborate with other teams to implement them. Recognising … Expertise: Strong analytical capability, with proven experience in statistical modelling skills, and data interpretation Technical Skills: Proficiency in Python for data analysis, modelling and machine learning. Machine Learning: Experience building and evaluating machine learning models Education: Degree in Mathematics, Statistics, Data Science, or another quantitative ...

Learning, Data Science and Experimentation efforts, reporting to the Vice President of Engineering. You will play a pivotal role in shaping our ML and AI strategy and ensuring we leverage our data assets to their full potential to drive growth and competitive advantage. This spans the personalization, recommendation … will run your organization as a hub-and-spoke: a strong central team that owns talent, craft standards, career growth, tooling, and long-horizon ML strategy, with scientists deployed close to the product areas they serve so delivery stays fast and grounded in real business context. You will ...

Learning Engineer London (Hybrid) Salary: £80,000 - £150,000 *SC eligibility required* A leading applied AI consultancy is looking for an AI/ML Engineer to join its AI & Data Science team, working on high-impact projects across national security and defence. Youll design, build and deploy production-grade … infrastructure and MLOps systems that use machine learning to solve complex real-world problems. The Role Build scalable software and infrastructure for ML systems. Deploy and operationalise machine learning models. Work across the full ML lifecycle with data scientists and engineers. Design technical solutions and lead ...

Learning Engineer London (Hybrid) Salary: £80,000 - £150,000 SC eligibility required A leading applied AI consultancy is looking for an AI/ML Engineer to join its AI & Data Science team, working on high-impact projects across national security and defence. Youll design, build and deploy production-grade … infrastructure and MLOps systems that use machine learning to solve complex real-world problems. The Role Build scalable software and infrastructure for ML systems. Deploy and operationalise machine learning models. Work across the full ML lifecycle with data scientists and engineers. Design technical solutions and lead ...

London, United Kingdom | Posted on 23/07/2026 Contract Role: Senior AI/ML Research Engineer Contract Location: London Contract Duration: 6 months initially (with potential extension) Contract Start Date: Immediate Contract Classification: Inside IR35 Daily Rate breakdown Traditional Daily Rate: £600 The Senior AI/ML Research … Engineer will be a key member of the GenAI team within the Data & AI organisation, responsible for designing, developing, and deploying scalable AI/ML solutions across multiple business areas. The role focuses on delivering production-grade machine learning systems while ensuring alignment with enterprise quality, reliability ...

Data Science & AI Consultant, you will work with Defence and Security clients to solve complex, mission-critical challenges using data, machine learning, and artificial intelligence. The role involves developing and deploying innovative AI solutions, from initial research and prototyping through to production-ready applications, while helping clients improve … learning approaches including statistical modelling, supervised and unsupervised learning, deep learning, transformers, and generative AI.Experience delivering solutions across the AI/ML lifecycle, from data exploration and prototyping to deployment and operational suppo rt.Familiarity with machine learning frameworks such as PyTorch, TensorFlow, Scikit-learn ...

strong focus on data management and analytics is essential to our investment strategy. We are looking for a motivated and detail‐oriented Machine Learning Intern with a strong interest in quantitative analysis, particularly time series forecasting, to join our Global Data Science team in our London office. … insights will play a vital role in forecasting price movements and supporting risk management decisions. Responsibilities Apply mathematical and statistical knowledge to enhance existing machine learning applications and explore new solutions. Work closely with Data Scientists, Analysts, and Traders to design, implement, and optimize machine learning ...

optimise recommendation systems (e.g. personalised product recommendations, ranking, search optimisation) Collaborate with data scientists, engineers, and product stakeholders to translate business requirements into ML solutions Implement and maintain MLOps pipelines to support continuous integration, delivery, and monitoring of models Ensure scalability, performance, and reliability of ML systems within Azure cloud … datasets to extract insights and improve model accuracy Monitor model performance and retrain models to maintain effectiveness over time Contribute to best practices in ML engineering, deployment, and governance YOUR KEY SKILLS: Strong experience as an ML Engineer in a production environment Proven expertise with Azure (e.g. Azure ML, Databricks ...

Take the next step in your career. The role We are looking for an exceptional Machine Learning Engineer to work in our ML and HPC Architecture team, identifying and working with tools at the cutting‐edge of machine learning. You will work closely with a wide range … internal G‐Research teams, including Quant Researchers, Quant ML engineers and other engineering groups - as well as with external partners and experts. You will collaborate across disciplines on a broad set of initiatives to help G‐Research leverage the next generation of machine‐learning technologies. Past projects have ...

frameworks, along with a solid understanding of core AI concepts and model behaviour. The role centres on testing, validating, and benchmarking a complex ML software stack, with a particular focus on performance, reliability, and correctness across modern AI workloads. The ideal candidate is an experienced ML engineer who understands … contemporary models are trained and executed, and who has hands‐on experience debugging functional and performance issues in ML systems. This person will be comfortable working with industry-standard frameworks and state-of-the-art models, bringing them up on internal infrastructure, and collaborating closely with software and hardware teams ...