301 to 325 of 2,080 Machine Learning Jobs in the UK

Description \n Machine Learning/ML Ops Engineer \n Outside IR35: £500 - 625 p/d \n Active SC Clearance Required \n 4 days a week into East London \n 6 months initial contract, long term programme \n The Role \n We're looking for a Senior MLOps … defence and security sector. \n This is a hands-on role, and you'll have real influence over the architecture of the ML platform. \n What you'll do \n \n Design and maintain ML training pipelines, including distributed training at scale \n Build experiment tracking, model registry and data ...

role in building a modern analytics capability from the ground up, helping to transform fragmented data into actionable insight while contributing to innovative machine learning, forecasting, and AI initiatives. The Company They are a well-established organisation undergoing significant growth and investment in data, analytics, and technology. With … fuzzy matching to create trusted records and improve data integrity Developing forecasting models to support business performance, resource planning, and operational decision-making Building machine learning and predictive analytics solutions across a range of business challenges Supporting AI-driven document processing and information extraction initiatives Creating insightful Power ...

responsible for a team of analytics engineers to ensure the delivery of high-quality data products needed for security teams operations, analytics, machine learning and Gen AI applications. The Analytics Engineering team plays a direct role in the success of the Cyber Data Intelligence team … resources I am accountable for in my job: Members of the cyber data platform team (Heads, Managers, Product Managers, Data Platform Engineers, Analytics Engineers, Machine Learning Engineers and Software Engineers)Members of the broader security team (Heads, Product Managers, Security Managers, Security Engineers, Security Testers, Security Analysts ...

opportunity to join a growing organisation undergoing a major data transformation. You'll play a key role in building the foundations for advanced analytics, machine learning, AI-driven automation, and predictive modelling, helping the business make better operational and strategic decisions. ROLES AND RESPONSIBILITIES: The Data Analyst/… Scientist will: Build and maintain robust data models to support reporting, analytics, and machine learning initiatives. Improve data quality, standardisation, and reconciliation across multiple source systems. Develop approaches for entity resolution, fuzzy matching, and record consolidation. Support the migration and development of a Snowflake-based data platform. Create ...

implement AI solution architectures for cloud-native PaaS and SaaS environments, integrating AI with enterprise data, APIs and microservices. Oversee the integration of Machine Learning, Generative AI and agentic systems into enterprise environments, ensuring seamless functionality, performance and responsible operation. Provide technical assurance across programmes, reviewing and challenging … required, providing assurance and constructive challenge on the designs produced by other architects and delivery teams. Who you areExperienceProven experience (8+ years) in AI, machine learning or data solution design, including significant hands-on experience delivering modern generative AI solutions. Deep, applied experience leading generative AI and agentic ...

modelling within a highly data-driven environment where analytics is central to commercial success. THE COMPANY This growing financial technology business uses advanced analytics, machine learning, and automated decisioning to deliver funding solutions at scale. Operating across multiple markets, they have built a strong reputation for innovation … data-led decision making. THE ROLE * Build and deploy credit risk models from scratch, including scorecards, probability of default models, and forecasting models.* Apply machine learning techniques to improve underwriting and risk assessment processes.* Analyse large and complex datasets to identify trends, opportunities, and risks.* Develop predictive models ...

Technology colleagues to translate ambiguity into rigorous evidence and practical recommendations. Alongside immediate delivery, you will shape the future of analytics by advancing machine learning, AI-enabled analytics and next-generation capabilities such as Commercial Digital Twin. Accountabilities: High-impact advanced analytics delivery: Design and deliver advanced analytics … promotional effectiveness and Digital Twin to influence strategic and operational decisions. Analytical innovation and next-generation capability: Identify opportunities to apply emerging analytical techniques, machine learning and AI to commercial and medical challenges; explore novel data sources, methodologies and technologies that create competitive advantage or improve patient outcomes ...

opportunity for impactful innovation and are proud to set the gold-standard for marrying technical excellence with safe deployment. About the roleAs a Principal Machine Learning Engineer, you will serve as a high-level technical authority, steering our most complex projects and driving the next wave … flagship projects, providing the vision and guidance necessary to ensure successful delivery. Influencing company-wide technical strategy by leveraging deep domain expertise in machine learning and advanced statistics. Advising major initiatives as a technical authority, ensuring that architectural choices are robust, sustainable, and innovative. Who we're looking ...

Communications and Health & Public Services. In our team you will learn: How to build production applications and agents using Claude and broader AI/ML technologies. How to integrate Claude securely with enterprise data, APIs, repositories and delivery toolchains. How to develop and operate MCP-enabled solutions, evaluation suites … controls. How to convert repeatable delivery patterns into reusable assets and accelerators for client teams. How to help clients to use AI/ML technologies to solve business challenges How to design, develop, deploy, and run high quality AI/ML solutions across a range of industries with varying business ...

provide technical leadership across the full lifecycle of machine learning systems powering a new matching platform. This role is accountable for defining ML architecture, establishing engineering standards, driving MLOps maturity, and ensuring that our models are scalable, secure, explainable, and governed to enterprise‐grade standards. You will contribute … strategic direction of our ML platform—spanning data pipelines, model development, deployment automation, inference runtime design, telemetry, drift detection, and cross‐account productionisation. You will mentor engineers, influence product and architectural decisions, and ensure that our ML systems operate reliably at scale, underpinned by a robust governance and compliance framework. ...

provide technical leadership across the full lifecycle of machine learning systems powering a new matching platform. This role is accountable for defining ML architecture, establishing engineering standards, driving MLOps maturity, and ensuring that our models are scalable, secure, explainable, and governed to enterprise‐grade standards. You will contribute … strategic direction of our ML platform—spanning data pipelines, model development, deployment automation, inference runtime design, telemetry, drift detection, and cross‐account productionisation. You will mentor engineers, influence product and architectural decisions, and ensure that our ML systems operate reliably at scale, underpinned by a robust governance and compliance framework. ...

quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the teamsOur Reinforcement Learning teams lead Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems. We've contributed to all Claude … with the applied production training team to bring research innovations into deployed models, and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push ...

Senior ML Research Engineer - Sustainable Finance Location London Business Area Engineering and CTO Ref # 10052491 Description & Requirements Bloomberg's Engineering AI department has 400+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery … expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and efficient financial ...

global organisation spanning 70 countries and one rooted in a culture of growth, opportunity, diversityThe Role: We're looking for a Senior Lead ML Engineer with a proven track record of delivering successful, production-scale machine learning solutions (ideally on AWS SageMaker).You will provide technical leadership across … ML lifecycle, including defining architecture, engineering standards, MLOps practices, and governance frameworks for a large-scale matching platform. This is a hands-on lead role requiring recent expertise in building, deploying, monitoring, and operating ML systems in production. Essential ExperienceDemonstrable success designing and delivering enterprise-scale ML platforms and products ...

data flow diagrams, and integration specifications that guide and enable broader engineering teams. You will work with cross-functional delivery teams alongside data engineers, ML engineers, and application developers, and this role is an opportunity to develop deep expertise across the full AI architecture stack, sharpen your engineering instincts … patterns, frameworks, and technologies across the fast-evolving AI landscape, balancing innovation with enterprise-grade reliability Collaborate with cross-functional delivery teams — data engineers, ML engineers, and application developers — to translate requirements into concrete architecture decisions that meet stakeholder needs EDUCATION Bachelor's Degree or equivalent BASIC (REQUIRED) QUALIFICATION Proven ...

challenge: disproving the efficient market hypothesis every day. This requires them to harness massive compute power and to use state-of-the-art ML techniques – published in recent conferences or developed entirely in-house – as textbook methods won't beat the competition. ML is integral to develop successful investment management … long been a key tool at G-Research and we count a range of ICML and NeurIPS published researchers among our people. Our ML practitioners have huge amounts of (clean) data and near infinite compute at their fingertips, with which they're incentivised to explore the cutting-edge and find ...

drift, and implement continuous improvement strategies. Communicate complex findings clearly to both technical and non-technical stakeholders. Stay current with advancements in AI/ML (LLMs, generative AI, reinforcement learning) and evaluate their potential impact on products. Key Skills & Experience: Experience in machine learning, data science … applied AI roles. Proficiency in Python and ML libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).Strong understanding of statistics, ML algorithms, and model evaluation techniques. Experience working with cloud platforms (AWS, Azure, or GCP) and ML pipelines. Ability to analyse large datasets and communicate insights effectively. Experience with LLMs, generative ...

role at PwC, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable AI models … same. Responsibilities- Designing and implementing AI systems to transform raw data into actionable insights- Leading teams in the development of scalable machine learning models and solutions- Managing complex data analysis and integration to support AI-driven initiatives- Utilizing programming languages such as Python and Java to enhance ...

drift, and implement continuous improvement strategies. Communicate complex findings clearly to both technical and non-technical stakeholders. Stay current with advancements in AI/ML (LLMs, generative AI, reinforcement learning) and evaluate their potential impact on products. Key Skills & Experience: Experience in machine learning, data science … applied AI roles. Proficiency in Python and ML libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Strong understanding of statistics, ML algorithms, and model evaluation techniques. Experience working with cloud platforms (AWS, Azure, or GCP) and ML pipelines. Ability to analyse large datasets and communicate insights effectively. Experience with LLMs ...

drift, and implement continuous improvement strategies. Communicate complex findings clearly to both technical and non-technical stakeholders. Stay current with advancements in AI/ML (LLMs, generative AI, reinforcement learning) and evaluate their potential impact on products. Key Skills & Experience: Experience in machine learning, data science … applied AI roles. Proficiency in Python and ML libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Strong understanding of statistics, ML algorithms, and model evaluation techniques. Experience working with cloud platforms (AWS, Azure, or GCP) and ML pipelines. Ability to analyse large datasets and communicate insights effectively. Experience with LLMs ...

coaching, and exposure that will accelerate your growth in ways you won't find anywhere else. When you join us, you will have: Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear … actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey. A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact ...

exploratory research into AI methods and approaches, bespoke solutions to complex customer problems, and infrastructure projects working across large customer datasets. As a Senior ML Engineer, you will design, develop, and iterate on machine learning models that support national security objectives. You will collaborate with Data Scientists, Software … experiments, track results, and deliver scalable solutions. A key aspect to the role is to balance rapid experimentation with production readiness, prototyping and validating ML approaches while ensuring successful experiments integrate seamlessly into operational systems. This is an exciting time to join our team to help pioneer both our customer ...

Machine Learning Researcher A fantastic opportunity for a Machine Learning Researcher with a strong academic background and a particular interest in Large Language Models. You will help develop practical AI applications, from early research and experimentation through to implementation, working with software engineers to bring ideas ...

MLOps EngineerAre you passionate about building scalable, reliable machine learning platforms that bring AI models into production? Do you thrive on automating ML workflows, optimising model performance, and creating robust MLOps solutions at scale? About the team: Join the team that powers Elsevier's research platforms—Scopus/… APIs such as OpenAI)· Maintain and version model registries and artifact stores to ensure reproducibility and governance· Develop and manage CI/CD for ML, including automated data validation, model testing, and deployment.· Implement ML Engineering solutions using popular MLOps platforms such as AWS SageMaker, MLflow, Azure ML. ...

collaborate with Frontier Labs to reinforce our leadership in practical, high-stakes AI safety. What you'll be doing: Building and deploying production-grade ML software, tools, and infrastructure. Creating reusable, scalable solutions that accelerate the delivery of ML systems and capability testing of Frontier AI models. Collaborating with engineers … implementing Faculty's standards for deploying machine learning at scale. Acting as a technical advisor to customers and partners, translating complex ML concepts for stakeholders. Who we're looking for: You are comfortable building LLM applications, and are familiar with multi-agent harness tooling and AI Safety evaluation ...