1 to 25 of 1,392 Machine Learning Jobs in the UK

Learning Engineer to join a world-leading AI technology company developing cutting-edge software solutions. This is an ideal opportunity for an ML Engineer who has a strong academic background and experience working with LLM technologies. You will work alongside Software Engineers, Machine Learning specialists … Learning Engineer/Machine Learning Engineer/AI Engineer/Applied AI Engineer/Generative AI Engineer/LLM Engineer/ML Software Engineer/AI Software Engineer/Machine Learning Software Engineer/ML Infrastructure Engineer/Model Deployment Engineer/AI Integration Engineer ...

/LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence Location: London, United Kingdom The Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, large … LLMs or recommendation systems Produce outputs that lead to high‐impact business applications, open‐source software, patents, and publications in top AI/ML conferences and journals Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production Drive ...

predictive modelling, and the application of recommendation systems. Our data scientists and machine learning engineers are applying advanced quantitative and AI/ML techniques to solve the most complex business challenges in a dynamic, entrepreneurial team with a passion for the markets. Marquee Marquee is Goldman Sachs' premier … business impact of deployed models. Collaborate with product managers, engineers, and business stakeholders to translate complex analytical findings into clear, actionable insights and integrate ML solutions into production systems. Stay abreast of the latest advancements in machine learning, AI, and data science, and proactively identify opportunities to apply ...

Machine Learning Engineer £75k-£100k DOE | UK Remote About the Role We are seeking an experienced Machine Learning Engineer to develop, train and optimise advanced computer vision and machine learning systems for deployment in constrained edge environments. This role is ideal for someone … combines strong machine learning expertise with excellent software engineering capability and enjoys solving difficult performance, optimisation and deployment challenges. You will work on cutting-edge computer vision systems, helping deliver highly efficient machine learning models that operate in demanding real-world conditions. Responsibilities Develop advanced computer ...

deliver complex machine learning and data science solutions with a high degree of autonomy. Lead technical investigations, research activities and AI/ML development across customer and internal projects. Identify innovative approaches to solving complex technical challenges and contribute to future research directions. Provide technical leadership within project … Face, TensorFlow and PyTorch. Proven experience delivering machine learning solutions within commercial, research or government environments. Strong understanding of modern AI/ML techniques across areas such as Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP) and Computer Vision. Experience training, fine-tuning and evaluating machine ...

deliver complex machine learning and data science solutions with a high degree of autonomy.Lead technical investigations, research activities and AI/ML development across customer and internal projects.Identify innovative approaches to solving complex technical challenges and contribute to future research directions.Provide technical leadership within project teams and support … Hugging Face, TensorFlow and PyTorch.Proven experience delivering machine learning solutions within commercial, research or government environments.Strong understanding of modern AI/ML techniques across areas such as Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP) and Computer Vision.Experience training, fine-tuning and evaluating machine learning ...

Principal Research Scientist - Machine Learning London, United Kingdom IMC is one of the world’s leading trading firms, combining quantitative research, technology and trading expertise to solve complex problems at scale. As Machine Learning becomes increasingly important within our Systematic Equities business, we are investing … learning community. Responsibilities Shape the long‐term machine learning research agenda within Systematic Equities. Identify and translate advances from frontier ML research into practical opportunities. Conduct original research and develop proof‐of‐concept solutions where appropriate. Advise and mentor quantitative researchers on methodology, experimentation and research ...

MLOps Engineering Manager, you will help shape how we build, deploy and operate machine learning products at scale, working closely with ML Engineers, Data Engineers, Software Engineers, Data Scientists, Product Managers and stakeholders across Trainline. Responsibilities Build and lead a new team of MLOps Engineers, creating an environment … product and data teams to bring strong engineering standards into machine learning delivery, while recognising the specific challenges of data, AI and ML systems. Support the productionisation of batch and online machine learning models, including recommendation systems, classification and regression models, large language models and agent ...

build, and deploy machine learning and statistical models using Azure Machine Learning Studio (AML Studio) in production environments. Apply appropriate ML techniques to improve predictions such as longevity, default risk, and investment outcomes. Machine Learning Operations (MLOps in Azure) Manage the full ML life … cycle using Azure ML Studio, including deployment, monitoring, retraining pipelines, and version control. Implement robust MLOps practices such as model drift detection, data quality monitoring, and automated retraining workflows. Data Engineering and Preprocessing Develop and maintain scalable data pipelines using Python, SQL, and Azure Data Factory (ADF). Ensure data ...

Focus), you’ll act as the specialist technical authority within your discipline — helping shape the architecture, technical direction, and implementation strategy behind our ML‐driven products and platforms. You’ll work closely with Machine Learning Engineers, Tech Leads, Product teams, and other Team Architects to design intelligent … guide technical implementation across areas such as trajectory prediction, motion synthesis, real‐time data processing, 2D‐to‐3D geometry pipelines, and cloud‐hosted ML services. You’ll also ensure solutions are scalable, reusable, maintainable, and aligned with wider engineering standards across the business. What We Value You’ll fit right ...

predictive modelling, and the application of recommendation systems. Our data scientists and machine learning engineers are applying advanced quantitative and AI/ML techniques to solve the most complex business challenges in a dynamic, entrepreneurial team with a passion for the markets. Marquee is Goldman Sachs’ premier digital … business impact of deployed models. Collaborate with product managers, engineers, and business stakeholders to translate complex analytical findings into clear, actionable insights and integrate ML solutions into production systems. Stay abreast of the latest advancements in machine learning, AI, and data science, and proactively identify opportunities to apply ...

seeking a Principal Research Scientist to help define and accelerate our long‐term machine learning research agenda. Prior finance experience is not required. The Role This role is designed for an established academic researcher or research scientist who wants to remain connected to the frontier of machine … learning community. Responsibilities Shape the long‐term machine learning research agenda within Systematic Equities. Identify and translate advances from frontier ML research into practical opportunities. Conduct original research and develop proof‐of‐concept solutions where appropriate. Advise and mentor quantitative researchers on methodology, experimentation and research ...

STEM discipline such as Computer Science, Mathematics, Physics, Engineering, or related fields Commercial experience developing machine learning solutions using Python and modern ML frameworks Strong understanding of applied machine learning techniques, particularly around modelling complex systems and large-scale datasets Experience working with time-series, forecasting … work autonomously within a fast-moving environment Interest in applying machine learning to operational, industrial, or physical systems Desirable Experience Experience deploying ML systems into production environments Exposure to scientific machine learning, simulation, or reinforcement learning Familiarity with cloud infrastructure and scalable ML pipelines ...

take ownership of key machine learning components throughout their entire lifecycle. You'll be responsible for designing, developing and deploying scalable ML systems that solve complex real-world problems. Your responsibilities will include: Designing and implementing production-ready machine learning systems. Owning the full ML lifecycle … learning infrastructure What We're Looking For Commercial experience building and deploying machine learning models into production. Strong understanding of modern ML architectures and production challenges. Excellent software engineering skills with a focus on maintainable, production-quality code. Ability to work independently and take ownership of technical ...

+ Bonuses & Benefits Location: Cheltenham (3 days on-site per week) Security Clearance: Active Enhanced DV (West) Required Key Skills: Machine Learning, AWS/Azure, Python, NLP, AI Who We Are? We are seeking a highly skilled Data Scientist with enhanced DV clearance to join a globally recognised … techniques to solve complex challenges Conducting research and innovation to develop cutting-edge solutions Keeping up to date with the latest developments in ML and data technologies Engaging in the full data science lifecycle, from data collection to model deployment Producing clear and well-documented technical outputs Delivering high ...

work is thoughtful, challenging, and purposeful, rather than driven by novelty or trend. What you'll be doing You'll take ownership of complex ML problems, applying scientific thinking and pragmatism in equal measure. You will: Lead end-to-end machine learning delivery , from problem definition through experimentation … with internal teams and selected external partners working at the leading edge of AI What we're looking for This role suits a senior ML practitioner who values judgement, evidence, and outcomes over theoretical or tooling purity. Essential experience: Proven experience operating at senior practitioner level as a Machine ...

Team as a Freelance Machine Learning Operations Engineer – AI Trainer and contribute to building next-generation AI in real-world operations and ML workflows. About Us 10x Team connects freelance professionals with leading AI labs to develop advanced AI models. We are seeking experienced machine learning … content on machine learning operations, model deployment, and workflow optimization Assess the accuracy, technical relevance, and real-world viability of AI-driven ML operations scenarios and recommendations Develop example use cases, deployment strategies, and risk management exercises based on your ML industry experience Create multiple scenario variations reflecting ...

machine learning and AI solutions for complex Payments and Banking Operations challenges, from discovery to production rollout and lifecycle management. Develop innovative ML-based solutions, including GenAI and agentic approaches, and define evaluation, safety, and monitoring strategies for production use. Own production deployment patterns, including containerization, CI/… automated testing, model registries, governance, monitoring, alerting, and rollback strategies. Architect and deploy scalable, reliable, and secure ML services integrated with strategic platforms and downstream consumers (APIs, batch, streaming), meeting SLAs and SLOs. Partner with product, operations, risk/control, and technology teams to influence roadmaps, align on requirements ...

Description My client, a global manufacturing and engineering organisation, is seeking a Data Scientist - Analytics & Machine Learning to join their Business Solutions team in Northern Ireland. This role can be based across multiple sites and will support a large-scale manufacturing operation through the delivery of data-driven … exposure * Clear career progression opportunities This role will support key business functions across operations, engineering, supply chain, and commercial teams by leveraging data, analytics, machine learning, and AI to improve decision-making and business performance. Working closely with stakeholders across the organisation, you will identify opportunities where advanced ...

activities. As a Machine Learning Engineer you'll be focused on engineering, with around 80% of your time spent building and maintaining ML infrastructure, deploying and monitoring models, developing CI/CD pipelines, improving MLOps processes, refactoring code and adding new capabilities to existing ML services. … week with flexibility to work form home the other days. About you: You have experience in a similar Machine Learning/ML Ops role with experience of building and maintaining scalable data pipelines and ML platforms You have a strong understanding of software engineering best practices (clean code ...

call activities.As a Machine Learning Engineer you'll be focused on engineering, with around 80% of your time spent building and maintaining ML infrastructure, deploying and monitoring models, developing CI/CD pipelines, improving MLOps processes, refactoring code and adding new capabilities to existing ML services. … twice a week with flexibility to work form home the other days.About you:You have experience in a similar Machine Learning/ML Ops role with experience of building and maintaining scalable data pipelines and ML platformsYou have a strong understanding of software engineering best practices (clean code ...

complete the application to adjustments@depop.com. For any other non-disability related questions, please reach out to our Talent Partners. Role At Depop, machine learning is integral to our value proposition. As a Machine Learning Scientist, you will work on building state-of-the-art ranking … work with cross-functional teams, including technical and non-technical stakeholders Passion for learning new skills and staying up-to-date with ML algorithms Bonus points Experience working on learning-to-rank, search or recommendation models Experience with deep learning & large language models Experience with experiment design ...

model quality, robustness, safety and performance. Optimise GPU utilisation, memory usage and inference performance for production deployments. Work closely with software engineers to integrate ML capabilities into backend services and customer-facing products. Lead technical delivery, mentor engineers and help shape engineering best practices. Balance research ambitions with practical engineering … trade-offs to deliver value quickly. Technology Python PyTorch and/or JAX Large-scale GPU training and inference infrastructure Modern ML deployment pipelines Ideal Experience Proven experience delivering machine learning systems into production. Strong understanding of modern foundation models and large language models. Experience building scalable training ...

organisations with exceptional talent across AI, Technology, CRM and Senior Leadership appointments. We work with innovative organisations that are investing heavily in Artificial Intelligence, Machine Learning and Automation technologies to transform customer experiences, operational efficiency and business performance. We are currently supporting a high-growth organisation seeking … Working alongside AI Technical Leads, Product Teams, Software Engineers and Data Scientists, you will design, develop and deploy cutting-edge AI applications using modern Machine Learning and Generative AI technologies. You will play a key role in developing enterprise AI solutions, intelligent automation platforms, conversational AI systems, voice ...

Location: London (Hybrid - 3 days per week) Data Idols are working with an ambitious early-stage technology company that is building a machine learning platform capable of solving complex behavioural prediction problems at scale. Already working with paying customers and backed by experienced founders with a successful track … with feature engineering, model evaluation and experimentation Comfortable working across the full machine learning lifecycle Experience working with cloud platforms and modern ML tooling Curious and analytical mindset If you're looking for a role where you'll solve genuinely difficult machine learning challenges, build something ...