3,476 to 3,500 of 5,191 Machine Learning Jobs in the UK

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques … real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future.Your colleagues will include internationally recognized experts ...

people-management position. You'll lead through technical depth, judgement, and delivery , building the tooling, workflows, and operational foundations that allow data scientists and ML engineers to experiment, deploy, and run ML and LLM-based workloads safely and at scale . The focus is not simply on running Kubernetes clusters … scalable inference and LLM-based workloads Build and operate model serving and inference platforms within Kubernetes environments Work closely with data scientists and ML engineers to ensure the platform is usable, well-documented, and aligned to real workflows Own platform operability, reliability, security, and supportability in production Troubleshoot complex issues ...

/ML Engineer within the AI Centre of Excellence (CoE) team, you will be at the cutting edge of merging advanced AI techniques with Nationwide’s distinctive data assets to optimise business decisions and automate processes. This role offers the chance to expand the frontiers of AI applications in financial … services by leveraging the latest innovations in Natural Language Processing and statistical machine learning. You will be instrumental in creating products that enhance efficiency, aid experts in prioritizing tasks and improve decision-making. Our growing suite of AI-powered products and services presents substantial opportunities for the reuse ...

/ML Engineer within the AI Centre of Excellence (CoE) team, you will contribute to combining AI techniques with Nationwide’s distinctive data assets to support business decisions and automate processes. This role offers the opportunity to develop your expertise in AI applications for financial services, using techniques in Natural … Language Processing and statistical machine learning. You will contribute to products that improve efficiency, help experts prioritise tasks and support decision-making. Our growing suite of AI-powered products and services provides opportunities to reuse foundational components through well-designed libraries and services across the team. This position blends ...

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques … real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future.Your colleagues will include internationally recognized experts ...

J.P. Morgan is seeking a Software Engineer III to join the AI and Machine Learning Data Platforms team in London. You will turn cutting-edge AI research into production-grade platforms and collaborate with AI Researchers to move prototypes to robust applications. The role emphasizes security, scalability … operational excellence, with mentorship and a culture of inclusion. You will deliver platform capabilities and generative AI solutions, part of the Machine Learning Center of Excellence, #J-18808-Ljbffr ...

strong interest and practical experience in applied AI or machine learningStrong programming skills in Python (or similar languages) with familiarity in AI/ML libraries (TensorFlow, PyTorch, etc.)Experience working with large-scale models (LLMs/VLMs) and deploying AI-driven solutions into productionSolid understanding of cloud technologies, containerisation … building scalable AI applicationsAbility to integrate AI/ML models into real-world applications, focusing on usability and performanceStrong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environmentExperience working with large datasets, particularly in relation to demand and supply forecastingBonusExperience or strong interest ...

established, dynamic team of ~25 Medicinal Chemists in London, who are fundamentally redefining how drugs are designed. By partnering deeply with our AI/ML colleagues, we are doing more than just leveraging the Isomorphic Labs Drug Design Engine - we are actively shaping it. We use our domain expertise … will oversee and mentor a team of talented Medicinal Chemists, fostering their scientific growth and career development. Working alongside world-leading AI/ML Scientists, you will play a critical role in driving project success, enhancing our AI platform through expert feedback, and developing a high-performing Chemistry team. Critical ...

Kingfisher is seeking a Machine Learning Engineer to join a high-performing engineering team. You will develop scalable ML systems, deploy models into production, and partner with engineering, product, and architecture to improve tooling and automation. You will apply classical ML techniques, NLP, and deep learning, with ...

Data Scientist £120K – £140K + Equity London Hybrid At Data Idols, we are working with a high-growth technology business using advanced data science, machine learning and operational intelligence to solve complex real-world movement and optimisation problems at scale. They are now looking for a Staff Data … Skills and experience Strong Python and SQL skills Experience working with geospatial, routing or movement-related data Experience building production-grade data products or ML systems Strong stakeholder management and communication skills Experience working with large, complex or unstructured datasets Experience operating in fast-moving environments If you are looking ...

decisions that matter. You’ll work alongside the VP, Product in a product function that punches well above its size, complementing our engineering and ML teams with product leadership, aligning our roadmap across sales, research and GTM. This is a role for someone with genuine technical depth who wants … business.Evolving the product roadmap for your area: Bringing customer and market insight as well as technical context to build defendable prioritisation decisions.Partnering closely with ML researchers and engineers: To translate technical requirements and realities into product decisions. Understanding what trade-offs need to be agreed and how to deliver efficiently.Working ...

project leadership opportunities A chance to directly shape enterprise-level decision-making Compensation : $130K What You’ll Be Doing Designing and optimizing gradient boosting ML models (XGBoost, LightGBM, CatBoost) Delivering high-accuracy financial and operational forecasts Engineering and tuning robust, interpretable models with open-source tools Using internal + external … gradient boosting frameworks (XGBoost, LightGBM, etc.) Strong experience forecasting KPIs like sales trends, AR, and working capital Comfort building from scratch using open-source ML tools and Python or R Ability to translate complex models into actionable insight Exposure to data visualization tools (Power BI preferred) Experience leading modeling projects ...

data and analytics programmes across the financial services sector while mentoring talent, guiding clients and driving innovation across topics such as Cloud, AI and Machine Learning. What You’ll Do Deliver cutting‐edge data transformation initiatives across top-tier financial institutions Provide leadership and mentoring to data consultants, helping … years of experience in a consulting or senior management role Deep knowledge of data and analytics disciplines such as data quality, governance, BIand ML Strong stakeholder engagement skills, from C‐suite through to delivery teams Experience designing and executing complex data programmes within Financial Services Ability to operate across multiple ...

Intercom is looking for a Machine Learning Engineer to identify valuable ML opportunities and bring prototypes into production. The ideal candidate should have a strong applied machine learning background, solid statistical knowledge, and excellent communication skills. You'll work closely with product and design teams … create exceptional ML products. Our hybrid working policy allows for flexibility, and we expect in-office collaboration at least three days a week. Benefits include competitive salary, pension scheme, and comprehensive health insurance. #J-18808-Ljbffr ...

Machine Learning, Other Founding AI Engineer – Applied AI/Computer Vision - London/HybridWe’re looking for a Founding AI Engineer to join an exciting early-stage Computer Vision AI company building cutting-edge agentic workflows and AI-powered video tools used in large-scale media environments. With … product, bringing down token usage and working with the latest AI models.What we’re looking for:5+ years’ experience within Applied AI/ML/MLOpsStrong Python and production AI systems experienceExperience with LLMs, Generative AI, prompt engineering or agentic workflowsExposure to AI infrastructure, deployment, evals or optimisationStartup mindset with ...

join Computational Innovation’s AI Accelerator (@computationalinnovation). In this role you will build and lead a team of world-class AI scientists and ML engineers who can design novel architectures that can train and infer at scale while respecting the complexity and structure of biomedical data, engineer the most … improve and extend lives in areas of high unmet medical need. Key Responsibilities Build and lead a team of world-class AI scientists and ML engineers focused on provisioning state of the art, foundational AI capabilities that support disease understanding, target discovery and safety Build out a senior scientific leadership ...

aligned with standardized domain databases.Implement table understanding and schema normalization into predefined data schemas.• Advanced AI & AnalyticsDesign and implement advanced analytics capabilities.Develop domain-specific machine learning models in collaboration with subject matter experts.Build enhanced RAG (Retrieval-Augmented Generation) systems and AI-assisted research tools.• AI Applications & PlatformsLead … review designs and ensure strong technical architecture.Drive the transition from experimental AI capabilities to scalable production systems.What We Are Looking ForStrong engineering background (ML engineering, MLOps engineer, or equivalent).Proven experience building complex systems from 01.Ability to independently write production-quality code and build functional prototypes.Practical experience with LLM application ...

company to ensure the delivery of the applications is efficient Key stakeholder engagement Drive modern engineering practice Exposure to AI, Data platforms and machine learning Reduce strategic dependency Translate business needs into coherent technical strategy. Requirements: Knowledge of Cloud, APIs, CI/CD, Automation and Platform engineering Experience … security Stakeholder engagement experience Ability to govern architecture and engineering practices Government or highly regulated environment industry experience Exposure to data platforms and machine learning This is an urgent vacancy, so if you would like to be considered then please apply quoting reference AR(phone number removed). ...

take ownership in the field - supporting customer integration into their inference stacks, troubleshooting software issues, and acting as a primary technical contact for customer ML and infrastructure engineering teams. This is an opportunity to work at the cutting edge of efficient AI inference - deploying a genuinely novel compute platform into … into their own frameworks Own software‐side troubleshooting in the field, acting as the first line of response post‐deployment Train and enable customer ML and infrastructure engineering teams on the Iris software platform Feed field findings, integration issues, and customer feedback back into product and engineering What ...

data collection, model progress, and operational health. Establish and uphold best practices for data management – versioning, access control, security, and compliance. Nice to Have ML infrastructure or MLOps experience – understanding of how training jobs run, how model artifacts are managed, and what makes an evaluation pipeline trustworthy; you’ve worked … alongside or directly supported ML researchers. Distributed compute frameworks – experience with large‐scale parallel data processing, whether for data transformation, model training, or evaluation. Domain knowledge in robotics or embodied AI – familiarity with robot data formats, sensor telemetry, or the sim‐to‐real evaluation loop is a significant head start. ...

data transformation programme. Following significant investment and recent organisational change, there is a genuine appetite to modernise technology, improve data capabilities and scale machine learning across the business. The organisation currently has multiple machine learning models operating in production, but recognises that it’s MLOps capability … role has been created to provide the seniority, technical leadership and real-world experience required to establish best practice, improve operational maturity and ensure machine learning can be delivered reliably at enterprise scale. Key Responsibilities Lead the maturation of the MLOps function and build the capability Establish robust ...

client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI).Job DescriptionAs AI moves from experimentation to enterprise-wide adoption, doing it responsibly has become a commercial necessity, not just an ethical one. …/sell option.Private medical insurance.Life cover. Cycle to work scheme.Eligibility for company pension scheme (5% employer contribution, salary sacrifice option).Employee assistance programme.Bespoke online learning via Udemy for Business.Why join:Responsible AI is central to how we earn client trust and differentiate our practice. You will have the rare ...

solutions.Analyze complex problems, break them down into manageable milestones, and collaborate with cross-functional teams to deliver sustainable solutions.Safely integrate and operate AI/ML-enabled solutions that improve outcomes, including familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real-world products.Minimum Qualifications … maintaining SLAs, SLOs, and SLIs.Strong commitment to test-driven development, proactive monitoring, and operational excellence in production environments.Demonstrated proficiency in safely integrating AI/ML-enabled solutions within backend systems and leveraging AI-driven tools or workflows to enhance real-world product outcomes.Accommodation requestsExpedia Group is committed to providing ...

years overall experience with 3 to 8 years of hands-on experience in running analytics projects Expert-level proficiency in statistical/ML predictive techniques such as regression Project Management, Stakeholder Management, Crisis handling People grooming (good team player and a leader who identifies and creates synergy in a group … System (ATS) visibility. This unique feature helps candidates tailor their applications more effectively — a feature exclusive to JobTailor job listings. Hard Skills statistical techniques machine learning regression analysis data-driven analysis data conversion strategy ETL data quality management database management analytics project management insight generation Soft Skills leadership ...

Overview Conduct original research in computer vision, machine learning, and spatial AI. Design, implement, and evaluate novel algorithms for 3D reconstruction, neural scene representations, 3D Gaussian Splatting, geometric deep learning, Structure-from-Motion (SfM), feed-forward models, and spatial foundation models. Collaborate with research scientists and engineers … constraints, and real customers. Publish research findings at leading conferences such as CVPR, ICCV, ECCV, or SIGGRAPH. Responsibilities Conduct original research in computer vision, machine learning, and spatial AI. Design, implement, and evaluate novel algorithms for 3D reconstruction, neural scene representations, 3D Gaussian Splatting, geometric deep learning ...