151 to 175 of 1,803 Machine Learning Jobs in the UK excluding London

team. You'll report to a Leader of Engine Development and collaborate with both game and central technology engineers and researchers to bring ML models into the hands of our players by deploying them directly into EA's games. Responsibilities: Design, build, and maintain robust end-to-end solutions … running machine learning models efficiently on a variety of devices. Partner with ML experts across EA to help adopt and scale new models and architectures optimized for on-device performance. Integrate ML solutions into our proprietary tools and game runtime environments on consoles, PCs, and mobile devices. Write ...

brighter experiences for our guests and our teams. As a Data Scientist, you’ll play a key role in turning data into insight—building machine learning models and analytical solutions that help us make better, more informed decisions across the business. You’ll work across the full data … insights—bringing curiosity, collaboration and clarity to everything you do. What you’ll be doing: Owning the end-to-end development and deployment of machine learning models and analytical solutions , from data exploration through to production. Making day-to-day technical decisions on feature engineering, model selection, analytical ...

brighter experiences for our guests and our teams. As a Data Scientist, you’ll play a key role in turning data into insight—building machine learning models and analytical solutions that help us make better, more informed decisions across the business. You’ll work across the full data … insights—bringing curiosity, collaboration and clarity to everything you do.**What you’ll be doing:**- **Owning the end-to-end development and deployment of machine learning models and analytical solutions**, from data exploration through to production.- **Making day-to-day technical decisions** on feature engineering, model selection, analytical ...

fastest-moving areas of modern technology. You’ll play a key role in delivering robust, scalable core services and infrastructure that support Machine Learning and Agentic AI solutions across the business.You’ll be joining a newly formed team of engineers focused on building, maintaining, and evolving Evoke … next-generation AI platforms, including our Machine Learning and Agentic AI cores.As part of the wider Cloud team, you’ll collaborate with a multi-disciplinary group of engineers, working primarily with AWS technologies and third-party integrations to deliver an AI platform designed for an ambitious and innovative ...

lead a team of talented data scientists and analysts while remaining close enough to the work to guide the design and delivery of innovative machine learning and AI solutions.This is an opportunity to work on large-scale, high-impact challenges where your solutions can influence decisions across … data scientists and analysts, creating an inclusive and high-performing environment where people can thrive.Translating complex business challenges into practical data science solutions using machine learning, AI and advanced statistical techniques.Designing, building and deploying scalable data products that support strategic decision-making across Networks and BT Group.Working with ...

evolve the plan honestly when priorities or evidence change, rather than defending a roadmap past its usefulness. Act as a thought leader in AI, machine learning, agentic systems and analytics trends, embedding this into product direction and helping the business understand where autonomous AI creates step-change value … single team. Write clear specs, define acceptance criteria, and stay close through delivery. Partner with data science and engineering to spot where AI and machine learning genuinely improve the product, then design those capabilities so the output is explainable and trusted. Translate data collection and processing into visualisation ...

available for 3 years in the first instance. The University of Cambridge seeks a Research Associate to join an ambitious research programme in machine learning for astronomical imaging, led by Dr. Miles Cranmer (DAMTP/IoA) and Professor Vasily Belokurov (IoA). The primary function of these posts … wide-field astronomical imaging and advancing these methods to operate at the scale of forthcoming surveys. The role holder will conduct original research into machine learning approaches to source detection, deblending, and low surface brightness feature recovery, including generative and simulation-based methods. Alongside this research, they will ...

Specialist ML and MLOps teams where machine learning is the core capability , spanning research, prototyping, productionisation and deployment into real National Security environments.National Security Location: Manchester or Cheltenham Level: Mid-level through to Senior/Lead Clearance: Active SC minimum | DV/eDV highly desirable Working pattern: Hybrid … plenty of roles where "AI" is somewhere in the job description. This isn't really one of those. I'm working with specialist ML and MLOps teams where machine learning is the core capability , spanning research, prototyping, productionisation and deployment into real National Security environments. ...

Specialist ML and MLOps teams where machine learning is the core capability , spanning research, prototyping, productionisation and deployment into real National Security environments.National Security Location: Manchester or Cheltenham Level: Mid-level through to Senior/Lead Clearance: Active SC minimum | DV/eDV highly desirable Working pattern: Hybrid … plenty of roles where "AI" is somewhere in the job description. This isn't really one of those. I'm working with specialist ML and MLOps teams where machine learning is the core capability , spanning research, prototyping, productionisation and deployment into real National Security environments. ...

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. Have a deep understanding and developing of AI/ML models, including time series, supervised/unsupervised learning, reinforcement learning and LLMs. Experience with the latest AI engineering approaches such as prompt engineering ...

University of Manchester is advertising postdoc and research fellow positions in machine learning within the Centre for AI Fundamentals, Manchester, UK. These lectureships form part of a strategic investment in fundamental AI research; candidates should have strong backgrounds in Bayesian inference, automatic experimental design, human-in-the-loop … learning, machine teaching, privacy-preserving learning, reinforcement learning, and related areas. #J-18808-Ljbffr ...

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 ...

CoreShell ML Protein Assembly PDRA (845541) FTE: 1.0 FTE (full time) Contract Type: Fixed term (18 Months) Closing Date: 25/09/2026 The Department of Pure and Applied Chemistry is seeking anexceptional and highly motivated Research Associate to join theARIA-funded CoreShell Fibre Foundry programme. The programme aims … have been scheduled for a date to be confirmed. Informal enquiries may be directed to Professor Tell Tuttle,Programme Lead, at tell.tuttle@strath.ac.uk CoreShell ML Protein Assembly PDRA (845541) #J-18808-Ljbffr ...

leading UK retail insurer to appoint a Senior Data Scientist into their pricing function. It's a role with genuine technical range - deep learning, predictive analytics and machine learning - and a direct line of sight into how your models shape business decisions, rather than sitting behind someone … else's. What you'll do Build and evaluate machine learning models, from deep learning through to predictive analytics, that solve genuine business problems. Own the data science lifecycle across large, multi-source datasets, from analysis and cleansing through to deployment. Apply a broad statistical toolkit, from ...

challenges. We are looking for a Principal Staff Scientist (computational) to provide analytical leadership in Artificial Intelligence/Machine Learning (AI/ML) and genomic data analysis across the Human Genetics Programme. About the Programme: The Human Genetics Programme brings together large-scale human cohorts, deep molecular profiling … time‐resolved data, separating causal drivers from downstream correlates, and building models that hold up in new populations and healthcare settings. AI and ML methods are well placed to address these challenges. The Programme already has considerable analytical and statistical strength across its groups, including colleagues extending their work into ...

Worldwide Field Operations (WWFO) team is looking for a Solution Architect with expertise in Generative AI, Data Science applications and Machine Learning (ML) to work with our Hyperscaler partners. In our Solutions Architecture team, we work with the most exciting platform for accelerated computing and drive the latest … Electrical/Computer Engineering, Physics, Mathematics, other Engineering fields A proven track record of academic and/or industry experience in fields related to machine learning, deep learning and/or data science You are excited to work with multiple levels and teams across organizations (Engineering, Product ...

connected devices, cloud services, data platforms, and engineering teams. As the capability matures, the role will provide a clear development path into MLOps and ML platform engineering, supporting model deployment, model lifecycle controls, ML pipeline automation, and governed promotion of machine learning solutions from development into production. … GitHub, Azure DevOps and related platform tooling. Help maintain Azure-based development, test, QA and production environments used by digital, IoT, data and ML platforms. Contribute to secure platform configuration, access control, secrets management, monitoring and operational governance. Monitor platform health, investigate operational issues and contribute to improving reliability, supportability ...

Responsibilities Define and drive the AI methodology roadmap for assigned Clinical AI programmes, spanning early and late phase clinical development, and aligning AI/ML priorities with clinical and business objectives. Lead, by matrix influence and scientific authority, the delivery of the most complex and high-stakes AI projects — from … programme level. Shape the AI evidence component for regulatory submission packages; act as the scientific and methodological voice in regulatory engagements involving AI/ML methods or innovative trial designs (FDA, EMA, MHRA). Evaluate and champion cutting-edge AI methodologies — including foundation models, agentic AI systems, generative patient models ...

looking for a Data Science & AI Consultant to work on complex, mission-focused programmes. This is an opportunity for a hands-on data science, machine learning or AI professional to work on projects where advanced technology can support better decision-making and improved operational outcomes. The Role … including Generative AI and Agentic AI , as well as contributing to client strategy and the development of future opportunities. Key Responsibilities Apply data science, machine learning and AI techniques to complex client challenges Explore data and develop models, prototypes and AI-enabled solutions Support the development and evaluation ...

scientific manner Data science skills, including handling of large data sets, modelling and evaluation Good understanding of software engineering concepts, particularly with machine learning development Experience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit-Learn For more senior candidates: Understanding of, including published … such as NLP, Computer Vision or Deep Learning Relevant industry experience with demonstrable impact in a commercial setting Significant practical usage of modern ML areas (NLP, Transformers, LLMs, NER, GANs, Reinforcement Learning, etc.) Master’s degree or Postgraduate (preferred) qualification from a Top 200 Global University, preferably ...

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 responsibilities Owns … delivery of priority IPB AI/ML use cases, from problem framing and business case through to deployed, monitored production services with measurable advisor and client impact Leads the engineering build of agentic AI and LLM-powered products serving IPB advisors and clients across international markets Sets the engineering quality ...

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 responsibilities Owns … delivery of priority IPB AI/ML use cases, from problem framing and business case through to deployed, monitored production services with measurable advisor and client impact Leads the engineering build of agentic AI and LLM-powered products serving IPB advisors and clients across international markets Sets the engineering quality ...

large-scale datasets and improve database support Strengthen developer tools like Jupyter notebooks and SQL workbenches Tech stack: Java, Python, AngularJS, Angular AI & Machine Learning: Collaborate on next-gen AI features, from statistics and time series forecasting to LLM inference. Build next-generation features like cross-provider … deliver fast and flexible experiences Tech stack: React, AngularJS, Angular, D3.js, ECharts, Node.js, Java, Spring MLOps: Develop back-end capabilities for automating and monitoring ML model lifecycles while supporting cross-functional collaboration. Build tools to automate retraining, monitoring, and deployment of ML models Enhance collaboration features for ML stakeholders Tech ...

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 ...

applied NLP Strong hands‐on experience with: Search and retrieval systems (lexical, vector, hybrid) RAG pipelines and LLM‐based systems Evaluation methodologies for ML/IR/GenAI Advanced programming skills in Python Experience with modern ML/NLP frameworks (e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack) Experience working with … Databricks or similar distributed data/ML platforms Strong understanding of experimentation design and statistical analysis Preferred qualifications Batchelor's, Masters, PhD in Computer Science, Data Science, Machine Learning, or a related field Experience working with large‐scale datasets (scientific, biomedical, or enterprise data) Familiarity with scientific ontologies ...