226 to 250 of 1,480 Machine Learning Jobs in the UK excluding London

engineer eager to grow. Join the ranks of top talent at one of the world's most influential companies.As an Applied AI ML Engineer – Associate at JPMorgan Chase within the International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) Team, you will design, develop, and deliver … Tech AIML team, reporting to the AIML Team Lead.Job responsibilitiesExecutes standard software solutions, design, development, and technical troubleshooting for the team's AI/ML productsBuilds and tests features of agentic AI, LLM-powered and ML applications under the direction of senior engineersWrites secure, high-quality production code and maintains ...

credit, and markets beyond UK. We are looking for bright, passionate and creative individuals to further accelerate our growth.About the roleThe mission of Borrowing ML Scientists is to improve the customer and business outcomes through better automated decisioning, using Machine Learning and Statistical modelling. We have a primary … expertise also applied to predict and optimise utilisation, pricing, collection and marketing.You will be working alongside a team of very experienced and highly efficient ML Scientists, with well established toolings for the fully lifecycle of ML models. Each of you owns multiple ML applications end-to-end, from experiment design ...

take their career to new heights. Join the ranks of top talent at one of the world's most influential companies.As an Applied AI ML Lead - Vice President at JPMorgan Chase within the International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) Team, you provide deep … responsible to the Head of AIML in IPB Tech for the end-to-end design, build, and production delivery of priority IPB AI/ML use cases, with particular focus on agentic AI applications, generative AI guardrails, and production ML supporting advisor and client journeys.Job responsibilitiesOwns end-to-end delivery ...

responsible to the Head of AI, IPB Tech for the end-to-end design, build, and production delivery of priority IPB AI/ML use cases, with particular focus on agentic AI applications, generative AI guardrails, and production ML supporting advisor and client journeys.Job responsibilitiesOwns end-to-end delivery … priority IPB AI/ML use cases, from problem framing and business case through to deployed, monitored production services with measurable advisor and client impactLeads the engineering build of agentic AI and LLM-powered products serving IPB advisors and clients across international marketsSets the engineering quality bar for the team ...

/ML ENGINEER Salary up to £60k Hybrid working - 2 days on-site in Cheshire Opportunity to join a growing, dedicated AI engineering function ABOUT THE CLIENT We're supporting a well-established UK organisation that is making a significant investment in Artificial Intelligence and Machine Learning. Rather than … Generative AI, Agentic AI and Machine Learning projects Strong focus on technical development and emerging technologies THE ROLE As an AI/ML Engineer, you'll design and build production-ready AI solutions that deliver measurable value across a large-scale organisation. You'll work across Generative ...

part of something bigger. As a Senior Data Scientist within Kainos' Workday Products division , you'll be responsible for developing high quality AI and ML solutions for our fast growing suite of Workday products - including Kainos Smart (Smart Test, Smart Audit and Smart Shield), Employee Document Management and Pay Transparency … Analyzer. You will work on the design and delivery of advanced AI/ML solutions that improve the functionality, scalability and efficiency of our Workday product suite. You may also carry some formal line management responsibilities, including appraisals, for more junior members of the team. Essential Experience: Typically ...

Manchester is seeking a Senior Machine Learning Engineer to enhance intelligent systems in marketing data. This role emphasizes building a top-notch ML platform and applying advanced machine learning techniques. The ideal candidate possesses extensive skills in machine learning, data analysis, and strong software ...

range of applications. The role will involve a combination of: Applied physics and experimental research Imaging technology development Data analysis and algorithm development Machine learning/artificial intelligence applications Scientific modelling and simulation Technical reporting and stakeholder engagement A strong understanding of MATLAB is essential , as you will … extensively to develop, test and optimise algorithms and analytical solutions. Analyse complex datasets and translate findings into technical reports, recommendations and executive summaries. Develop machine learning and AI-based algorithms, including deep learning approaches, to improve detection performance and reduce false positives. Work closely with engineering, operations ...

lead development and deployment of cutting‐edge AI systems for our diverse clients. You’ll design, build, and deploy scalable, production‐grade ML software and infrastructure that meets rigorous operational and ethical standards. This is an ambitious, cross‐functional role requiring a blend of technical expertise, engineering leadership, and confident … client‐facing skills. Responsibilities Lead technical scoping and architectural decisions for high‐impact ML systems. Design and build production‐grade ML software, tools, and scalable infrastructure. Define and implement best practices and standards for deploying machine learning at scale across the business. Collaborate with engineers, data scientists, product ...

driven engineering practices, fostering a culture of continuous learning and experimentationPartner with Architecture and Data Science teams to define best practices for ML model deployment, data pipeline design, and cloud infrastructure standardsConduct thorough code reviews with a focus on AI-assisted quality, providing constructive feedback to enhance code quality … fundamentally enhance how software is designed, built, tested, and deployedHands-on experience with machine learning concepts and the ability to integrate ML models into production applications and data pipelinesProficiency with Snowflake for data warehousing, analytics, and building scalable data platformsExperience designing and building event streaming architectures using technologies ...

performance, thermal transitions, processing windows, crystallinity, cross-link density, cure kinetics, and formulation-to-processing-to-property relationships. This is a hands-on scientific ML role for someone who can bridge domain context and computational execution. You will develop structure-property models for solid and viscoelastic materials, build cure … solid materials, complex fluids, or related fields. Familiarity with mechanical, thermal, morphological, or processing-sensitive material properties. Strong Python skills and experience with modern ML frameworks. Experience training, evaluating, and improving models using experimental, simulation, or scientific datasets. Ability to use simulations, theory, descriptors, or mechanistic understanding to inform modeling ...

Institute of Computing for Climate Science (ICCS) is a multi-disciplinary institute that has been established to develop and deploy machine learning (ML) and computational tools to advance the understanding of climate systems and inform decision-making for both climate change prediction and mitigation. A core part … work with other members of ICCS to identify and implement projects which can have a wider impact. We seek to appoint a Senior ML RSE for our RSE team. This position provides a unique opportunity to be involved in research projects directly connected to climate science, and broader research into ...

part of something bigger. As an Associate Data Scientist within Kainos' Workday Products division, you will support the delivery of AI and ML solutions across our fast-growing suite of Workday products, including Kainos Smart (Smart Test, Smart Audit and Smart Shield), Employee Document Management and Pay Transparency Analyzer, working … these to derive insights from data under guidance. Working knowledge of Python programming, with an interest in writing clean, efficient code for AI/ML solutions. Hands-on experience, through study, internships, or personal projects, with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch). Exposure to supporting ...

series and multimodal data, simulation and world models, trustworthy decision-support agents and staged autonomy, and AI-native approaches to industrial data foundations, ontology learning, and evaluation.This is a hands-on role for someone who thrives in uncertain problem spaces, works with high autonomy, and finds practical ways … frontier industrial AI.Develop new models, algorithms, evaluation methods, and system architectures.Build high-quality experimental systems and validated research prototypes.Publish at leading AI and machine learning venues and contribute to AVEVA’s patent and IP portfolio.Create benchmarks, datasets, and evaluation frameworks for industrial AI.Partner with leading AI labs, universities ...

others to deliver advanced AI and data solutions at citizen scale. Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government's AI Cyber Security Code … 2.1 degree in Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Demonstrable experience of deploying modern AI/ML solutions into production, including prompt engineering, retrieval-augmented generation (RAG), model evaluation, and monitoring using metrics (e.g. precision, recall, NDCG and drift detection). Strong Python skills ...

learning delivery . This is a hands-on senior platform role , focused on building robust, Kubernetes-based platforms that enable MLOps engineers, ML engineers, and data scientists to deploy, run, and manage models safely and effectively in production. While you'll need a strong understanding of how machine … that work reliably and at scale. What you'll be doing You'll be responsible for building a production-grade AI/ML platform , not just running clusters. You will: Design, build, and operate a Kubernetes-based platform that supports multiple ML and engineering teams Extend Kubernetes with MLOps-specific ...

others to deliver advanced AI and data solutions at citizen scale. Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government’s AI Cyber Security Code … 2.1 degree in Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Demonstrable experience of deploying modern AI/ML solutions into production, including prompt engineering, retrieval-augmented generation (RAG), model evaluation, and monitoring using metrics (e.g. precision, recall, NDCG and drift detection). Strong Python skills ...

others to deliver advanced AI and data solutions at citizen scale. Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government’s AI Cyber Security Code … 2.1 degree in Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Demonstrable experience of deploying modern AI/ML solutions into production, including prompt engineering, retrieval-augmented generation (RAG), model evaluation, and monitoring using metrics (e.g. precision, recall, NDCG and drift detection). Strong Python skills ...

others to deliver advanced AI and data solutions at citizen scale. Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government's AI Cyber Security Code … 2.1 degree in Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Demonstrable experience of deploying modern AI/ML solutions into production, including prompt engineering, retrieval-augmented generation (RAG), model evaluation, and monitoring using metrics (e.g. precision, recall, NDCG and drift detection). Strong Python skills ...

hear from you.Our AI Consultant roles are unique. The ideal candidate is a rare hybrid, a scientist with strong technical skills in AI and machine learning, the programming abilities to scrape, combine, and manage data from a variety of sources and a statistician who knows how to derive … projects.Provide technical guidance and support to junior analysts.Be proficient in Python, stay up-to-date on the latest advancements in AI and machine learning.Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to independently prepare datasets, conduct analytics, and develop deployable solutionsCollect, analyze ...

designs and implementations, providing clear technical direction and sign ‐ off . Supporting and mentoring data scientists on complex technical challenges. Partnering with Data Architecture, ML & Data Engineering, and BI teams to ensure solutions are scalable, robust, and production ‐ ready. Evaluating new techniques and tools, guiding their pragmatic adoption. Communicating technical … machine learning roles . Proven experience operating as a senior technical lead, reviewer, or technical sign ‐ off authority. Strong experience building ML solutions on cloud platforms (GCP, AWS, or Azure). Advanced expertise in Python and SQL . Deep applied knowledge of machine learning techniques, including ...

technical designs and implementations, providing clear technical direction and sign‐off. Supporting and mentoring data scientists on complex technical challenges. Partnering with Data Architecture, ML & Data Engineering, and BI teams to ensure solutions are scalable, robust, and production-ready. Evaluating new techniques and tools, guiding their pragmatic adoption. Communicating technical … data science or machine learning roles. Proven experience operating as a senior technical lead, reviewer, or technical sign‐offauthority. Strong experience building ML solutions on cloud platforms (GCP, AWS, or Azure). Advanced expertise in Python and SQL. Deep applied knowledge of machine learning techniques, including ...

others to deliver advanced AI and data solutions at citizen scale. Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government’s AI Cyber Security Code … Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Proven experience of leading multi-disciplinary teams to deliver AI/ML solutions to production. Demonstrable experience of technical leadership for AI delivery including architecture, product design principles and engineering excellence. Experience with the latest AI engineering approaches ...

others to deliver advanced AI and data solutions at citizen scale. Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government's AI Cyber Security Code … Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Proven experience of leading multi-disciplinary teams to deliver AI/ML solutions to production. Demonstrable experience of technical leadership for AI delivery including architecture, product design principles and engineering excellence. Experience with the latest AI engineering approaches ...

capabilities, and skillsFormal training or certification on artificial intelligence and machine learning concepts and applied experienceAdvanced proficiency in Python and the modern ML/DL stack (e.g., PyTorch, Hugging Face)Hands-on experience evaluating, fine-tuning, and deploying Large Language ModelsStrong grounding in experimental design, evaluation, and benchmarking … ML systemsAbility to bridge research and engineering: prototypes that become production-ready capabilitiesAwareness of inference cost, performance, and optimisation techniquesStrong communication skills, including translating research into business and engineering termsPublished in a top-tier AIML venue (e.g. NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR), or equivalent open-source/applied-research ...