10 of 10 Permanent Reinforcement Learning Jobs in the UK excluding London

Artificial Intelligence/Machine Learning Engineer Technology Incubation & Innovation Lab Location: Staines-upon-Thames, Surrey, UK Working model: Hybrid 3 days onsite, 2 days remote Fixterm 12 month Contract About Our Client Our client is a global technology leader with a dedicated innovation and incubation lab focused on transforming … with strong emphasis on clinical relevance, regulatory compliance, and measurable impact. Role Overview Our client is seeking an experienced Artificial Intelligence/Machine Learning Engineer with a strong healthcare or biomedical background to join their Technology Incubation & Innovation Lab. The role focuses on developing AI driven predictive healthcare ...

Deep Learning Researcher Cambridge/London About Us: MicroTECH-Global are working with a global leader in advanced computing, with a dedicated research team focused on applying artificial intelligence to next-generation semiconductor design and optimization. Role Overview: We're seeking a motivated Deep Learning Researcher with … strong background in machine learning, AI, or related fields. Youll contribute to innovative projects in areas such as large language models (LLMs), reinforcement learning, and optimization for chip design and AI system integration. Responsibilities: Conduct and publish cutting-edge AI/ML research Design algorithms for chip ...

Lecturer/Senior Lecturer in Artificial Intelligence (Machine Learning, NLP, Reinforcement Learning, and AI Security) The Department of Computer Science wishes to appoint academics to strengthen our growing Artificial Intelligence and Machine Learning Research Group. We welcome strong applications from all areas of AI and machine … learning. We are particularly keen to recruit in Natural Language Processing, Reinforcement Learning and/or AI Security. Appointments may be at Lecturer or Senior Lecturer. We are a highly collaborative team, working not only with other researchers in our department but across the university and beyond. ...

these AI solutions to ensure they meet user needs and drive meaningful impact in both healthcare and accessibility domains. Responsibilities: Develop and optimize machine learning models for disease prediction, early diagnosis and personalised healthcare solutions. Process and analyze structured and unstructured health data (EHR, Wearables, HL7/FHIR … implement deep learning algorithms for predictive healthcare applications. Contribute to research on AI-driven personalization strategies to empower users in managing their health effectively. Develop AI-powered accessibility solutions for our products, leveraging multi-modal AI (text, image, audio). Adhere to data privacy regulations (GDPR, MDR, HIPPA, EHDS ...

execute complex analytical approaches, integrating data from diverse sources to solve strategic business questions. > Architect, validate and deploy advanced prediction, simulation, optimisation and reinforcement learning models at scale. > Translate analytical insights into actionable recommendations for senior stakeholders, directly influencing customer experience and business performance. > Collaborate with the Centre … providing technical guidance. EXPERIENCE Expert knowledge across multiple areas of the Data Science Toolbox (Mathematics and Statistics, programming, Data Ingestion, Data Munging, visualization, Machine Learning, Optimisation, Simulation, Reinforcement Learning and Big Data) > Strong analytical reasoning with ability to decompose complex problems and design elegant solutions > Excellent stakeholder ...

Define technical strategy for optimisation capability, evaluating emerging techniques (column generation, decomposition methods, hybrid approaches) and tooling. > Lead integration of optimisation with simulation and reinforcement learning to solve multi-stage decision problems. > Partner with senior stakeholders across Operations, Planning, Crew, and Engineering to translate business challenges into tractable … optimization in industry settings, with demonstrable progression in technical leadership. DESIRABLE EXPERIENCE > Experience with cloud-based optimisation platforms and distributed computing. > Knowledge of machine learning and hybrid optimisation/AI approaches. > Familiarity with simulation, reinforcement learning, heuristic and metaheuristic methods. > Experience with commercial airline operations, crew planning ...

Machine Learning Engineer (LLM/AI Systems) London/Hybrid | 0–3 Years Experience | Competitive Salary Are you obsessed with AI and large language models? We’re an early-stage startup building real-world products powered by LLMs — from intelligent copilots to adaptive automation tools — and we’re looking … research — we give you time and resources to explore, learn, and publish. What We’re Looking For 0–3 years of experience in Machine Learning, Data Science, or NLP/LLM. Strong Python skills; exposure to PyTorch/TensorFlow/Hugging Face. (Bonus) understand fundamentals of deep learning ...

Lecturer/Senior Lecturer in Artificial Intelligence (Machine Learning, NLP, Reinforcement Learning, and AI Security) The Department of Computer Science wishes to appoint academics to strengthen our growing Artificial Intelligence and Machine Learning Research Group. We welcome strong applications from all areas of AI and machine ...

Shape the Future with AI — Start Your Career Here Are you fascinated by artificial intelligence, machine learning, and data-driven innovation? Are you excited by the potential of AI to solve real-world problems and build smarter systems? We’re looking for an ambitious and curious Graduate AI Analyst … Data Science team. This is an ideal role for a recent graduate who wants to kickstart their career by working on real AI projects, learning from experts, and gaining hands-on experience with modern AI tools, models, and data pipelines. Whether you studied Computer Science, Engineering, Maths, Data Science ...

business needs into AI solution designs, clear requirements, and measurable success criteria. Design, implement, and evaluate ML/AI models (e.g., classical ML, deep learning, computer vision, NLP/LLMs, time‐series). Build robust training and evaluation pipelines, including data preprocessing, feature engineering, augmentation, and experiment tracking. Ensure … with modern software engineering practices (testing, code quality, CI). Expertise in ML/DL algorithms and techniques for supervised, unsupervised, and, where relevant, reinforcement learning. Experience with AI frameworks and libraries: PyTorch, TensorFlow, scikit‐learn, Hugging Face Transformers; OpenCV for vision. Experiment tracking and reproducibility tools (e.g., MLflow ...