1 to 25 of 26 Remote Reinforcement Learning Jobs in the UK excluding London

Machine Learning Engineer - AI for Grid Innovation & Energy Transition (Energy Sector Experience Required) Join to apply for the Machine Learning Engineer - AI for Grid Innovation & Energy Transition (Energy Sector Experience Required) role at Energy Job Search Machine Learning Engineer - AI for Grid Innovation & Energy Transition (Energy Sector … Experience Required) 2 days ago Be among the first 25 applicants Join to apply for the Machine Learning Engineer - AI for Grid Innovation & Energy Transition (Energy Sector Experience Required) role at Energy Job Search Get AI-powered advice on this job and more exclusive features. Job Description Summary GE … life. Are you excited at the opportunity to electrify and decarbonize the world? We are looking for a passionate, creative, and results-oriented Machine Learning (ML) Engineer with substantial experience in the energy, smart infrastructure, or industrial automation sectors to join our AI & Grid Innovation team. In this role More ❯

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 a … strong background in machine learning, AI, or related fields. You’ll 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 … PhD or equivalent experience in ML, AI, CS, physics, or mathematics Strong publication record (NeurIPS, ICML, ICLR, etc.) Proficient in Python, C++, and deep learning frameworks (e.g., PyTorch, TensorFlow) Solid grasp of ML techniques; independent and team-oriented mindset Preferred: Experience in LLMs, reinforcement learning, or chip More ❯

Zealand. We unite under four core company values that serve as the foundation of everything we do: Being One Team, Owning It, Communicating Honestly. Learning, Growing, and Innovating. These values ensure we remain true to our original ethos and ensure we stay true to our Customers, Owners and Colleagues … mentor team members, and work cross-functionally to influence both technical and business strategy. You will lead the development and deployment of advanced machine learning and AI solutions, ensuring they are scalable, robust, and aligned with business priorities. This role is suited to a deeply experienced, commercially-minded individual … fostering technical and professional growth Champion ethical AI, explainability and model governance throughout the lifecycle of our solutions Contribute to a culture of continuous learning, experimentation and data-informed decision making Skills and Qualifications: We are looking for those who can share in our company goals, values and ethos More ❯

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 a strong background in machine learning, AI, or related fields. You'll 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 researchDesign algorithms for chip optimization and intelligent systems Collaborate with engineering teams to integrate AI into real-world tools Stay current on AI trends and … PhD or equivalent experience in ML, AI, CS, physics, or mathematics Strong publication record (NeurIPS, ICML, ICLR, etc.) Proficient in Python, C++, and deep learning frameworks (e.g., PyTorch, TensorFlow)Solid grasp of ML techniques; independent and team-oriented mindset Preferred : Experience in LLMs, reinforcement learning, or chip More ❯

a dedicated research team focused on applying artificial intelligence to next-generation semiconductor design and optimization. Role Overview: We're seeking a motivated Machine Learning Researcher with a strong background in machine learning, AI, or related fields. You’ll 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 optimization and intelligent systems Collaborate with engineering teams to integrate AI into real-world tools Stay current on AI trends … and contribute to open research Requirements: PhD or equivalent experience in ML, AI, CS, physics, or mathematics Proficient in Python, C++, and deep learning frameworks (e.g., PyTorch, TensorFlow) Solid grasp of ML techniques; independent and team-oriented mindse Preferred: Experience in LLMs, reinforcement learning, or chip design More ❯

experience will also be considered) Full rights to work in the UK without limitation While not required, any additional experience with digital twins, machine learning, reinforcement learning or agentic systems within a scientific context would be beneficial. On offer is a very competitive salary and attractive benefits More ❯

LLMs and GenAI. • Perform feature engineering and selection to optimize model performance. • Select and implement appropriate AI/ML algorithms, including supervised, unsupervised, and reinforcement learning models. • Train, evaluate, and optimize models using machine learning and statistical techniques. • Conduct extensive data exploration, analysis, and preprocessing to ensure … ML development and data science. • Strong understanding of AI/ML algorithms and techniques, including LLMs, GenAI, and automated AI systems. • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and data science libraries (e.g., NumPy, pandas, scikit-learn). • Proficiency in Python, R, or other relevant programming languages. • Proficiency More ❯

August 2025 Contract Length: 6 Months Initially (TBC) Rate: Competitive DOE, inside IR35 Are you passionate about pushing the boundaries of AI and Machine Learning ? QSR have an exciting opportunity available for an experienced AI/ML Specialist to join a cutting-edge project, driving innovation through Large Language … and deploy AI/ML models, including LLMs and GenAI. Conduct feature engineering, model optimization, and performance tuning. Implement and train supervised, unsupervised, and reinforcement learning models. Carry out advanced data exploration, analysis, and preprocessing. Deploy scalable models into production, with ongoing monitoring and tuning. Collaborate with cross More ❯

August 2025 Contract Length: 6 Months Initially (TBC) Rate: Competitive DOE, inside IR35 Are you passionate about pushing the boundaries of AI and Machine Learning ? QSR have an exciting opportunity available for an experienced AI/ML Specialist to join a cutting-edge project, driving innovation through Large Language … and deploy AI/ML models, including LLMs and GenAI. Conduct feature engineering, model optimization, and performance tuning. Implement and train supervised, unsupervised, and reinforcement learning models. Carry out advanced data exploration, analysis, and preprocessing. Deploy scalable models into production, with ongoing monitoring and tuning. Collaborate with cross More ❯

August 2025 Contract Length: 6 Months Initially (TBC) Rate: Competitive DOE, inside IR35 Are you passionate about pushing the boundaries of AI and Machine Learning ? QSR have an exciting opportunity available for an experienced AI/ML Specialist to join a cutting-edge project, driving innovation through Large Language … and deploy AI/ML models, including LLMs and GenAI. Conduct feature engineering, model optimization, and performance tuning. Implement and train supervised, unsupervised, and reinforcement learning models. Carry out advanced data exploration, analysis, and preprocessing. Deploy scalable models into production, with ongoing monitoring and tuning. Collaborate with cross More ❯

recruit a team lead for our Knowledge and Semantics team. The Data and Decision Support Capability has a diverse range of teams working in: reinforcement learning, NLP, knowledge graphs, applications of LLMs, computer vision, AI for RF and EW, sonar and acoustics. You will have the opportunity to … You will have experience of leading a team of researchers working in NLP, LLM applications, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. You will have a proven record of … successful proposal writing and delivery to funding bodies relevant to the Defence sector. You should have existing skills in Machine Learning (ML), will need to be a proficient programmer in Python, with extensive experience in the use of libraries and toolboxes to support efficient development. You will also have More ❯

recruit a team lead for our Knowledge and Semantics team. The Data and Decision Support Capability has a diverse range of teams working in: reinforcement learning, NLP, knowledge graphs, applications of LLMs, computer vision, AI for RF and EW, sonar and acoustics. You will have the opportunity to … You will have experience of leading a team of researchers working in NLP, LLM applications, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. You will have a proven record of … successful proposal writing and delivery to funding bodies relevant to the Defence sector. You should have existing skills in Machine Learning (ML), will need to be a proficient programmer in Python, with extensive experience in the use of libraries and toolboxes to support efficient development. Candidates will also have More ❯

recruit a team lead for our Knowledge and Semantics team. The Data and Decision Support Capability has a diverse range of teams working in reinforcement learning, NLP, knowledge graphs, applications of LLMs, computer vision, AI for RF and EW, sonar and acoustics. You will have the opportunity to … You will have experience of leading a team of researchers working in NLP, LLM applications, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. You will have a proven record of … successful proposal writing and delivery to funding bodies relevant to the Defence sector. You should have existing skills in Machine Learning (ML), will need to be a proficient programmer in Python, with extensive experience in the use of libraries and toolboxes to support efficient development. Typical Responsibilities: Propose and More ❯

recruit a team lead for our Knowledge and Semantics team. The Data and Decision Support Capability has a diverse range of teams working in: reinforcement learning, NLP, knowledge graphs, applications of LLMs, computer vision, AI for RF and EW, sonar and acoustics. You will have the opportunity to … You will have experience of leading a team of researchers working in NLP, LLM applications, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. You will have a proven record of … successful proposal writing and delivery to funding bodies relevant to the Defence sector. You should have existing skills in Machine Learning (ML), be a proficient programmer in Python, with extensive experience in the use of libraries and toolboxes to support efficient development. Typical Responsibilities: Propose and lead novel research More ❯

customer activities and trends. • Collaborate with cross-functional teams to implement data-driven strategies. • Define and track key performance indicators (KPIs). • Utilize machine learning techniques to optimize CRM strategies, especially related to automated campaign optimization. • Communicate findings and recommendations to stakeholders in a clear and concise manner. Requirements … Bayesian statistics, especially for hypothesis testing. Extra points for good knowledge of Bayesian programming (PyMC3, etc). • Experience with application of optimization theory or reinforcement learning based on automated A/B testing. Projects you might expect to work on: • Predicting future expected value and future potential value … quarter (during your first 3 months, you'll be in the office full-time). Benefits & Perks: • Monthly meal allowance. • Gym allowance. • Access online learning platforms like Udemy for Business and LinkedIn Learning, and a budget for external training. • Support for New Parents: - 52 weeks of maternity leave More ❯

Job Title: Machine Learning Engineer – Computer Vision Focus Overview: We’re looking for a skilled Machine Learning Engineer to join a growing technology company building cutting-edge solutions for real-world automation. You’ll be part of a small, collaborative team applying computer vision to improve performance, efficiency … and user experience across multiple sectors. This role offers the chance to work on high-impact machine learning problems, shape production-ready models, and contribute to the development of a platform that’s democratising access to AI-driven automation. Key Responsibilities: Model Development: Design, train, and deploy machine learning … advances in ML and CV, and apply new methods to solve business problems. Your Profile: Master’s degree (or equivalent) in Computer Science, Machine Learning, or a related field. 3+ years of experience deploying ML models in production. Proficient in Python and ML frameworks (e.g., TensorFlow, PyTorch). Experience More ❯

publish books, and through 2000AD, publish comics and graphic novels such as Judge Dredd. About the Role: We are seeking a passionate Junior Machine Learning Engineer to join our innovative ML Team. You will be part of a small, dynamic group focused on research, development, and AI-driven solutions … for our game products. Your responsibilities include supporting the Head of Department, assisting Machine Learning Engineers, and helping create AI/ML systems for generating game levels, enhancing our products, developing tools, and integrating ML/DL models into real-time gaming environments. Our current focus is on Creating … face-to-face collaboration at our Oxford HQ, we are open to discussing hybrid working options. Key Responsibilities: Report to the Head of Machine Learning and assist the ML team. Help design, implement, and refine ML algorithms and tools. Collaborate with cross-disciplinary teams to integrate ML models into More ❯

far richer, more capable intelligent behaviours. This is a unique opportunity to help build a dedicated AI function focused on embedding cutting-edge multimodal learning models into next-gen robotic platforms. The role will involve defining the long-term roadmap for how intelligence is deployed across the stack, from … successful in this role, you’ll need to bring: Strong technical leadership across applied AI/ML, with deep hands-on experience in robotic learning or embodied intelligence A solid background in multimodal model development—especially in areas that combine computer vision, language understanding, and interactive learning (LLM … VLM or VLA) Real-world deployment experience of learning-based systems, ideally within robotic or physical environments (embodied systems (AI) & reinforcement learning) Comfort collaborating across functions, especially with engineering, hardware, and system design teams Solid programming and prototyping skills using modern deep learning frameworks (e.g. PyTorch More ❯

Machine Learning Engineer – Robotic Manipulation | Cutting-Edge Space Tech | Equity Opportunity Location: Hybrid (UK-based) Salary: Competitive + Equity Join a stealth-mode innovator at the forefront of autonomous robotics, building next-gen systems that operate in the most extreme environments—space. This is your chance to shape the … future of orbital infrastructure and space domain defence. We're on the hunt for a Machine Learning Engineer with a passion for robotic manipulation. You’ll be the mastermind behind intelligent grasping systems—designing, training, and deploying ML models that enable robots to interact with unknown objects in unpredictable … software teams to bring your models to life. Own performance benchmarking and real-world validation. What You Bring 5+ years in ML, Robotics, or Reinforcement Learning (or equivalent hands-on experience). Deep understanding of robot manipulation—both classical and ML-based approaches. Proficiency in Python & C++, and More ❯

Scientist Location: Remote-first (UK-based) The Company A Series D tech scale-up is reshaping the travel and hospitality industries through advanced machine learning and forecasting. Purpose-built for this space, their platform leverages deep learning to drive revenue optimisation, automation, and real-time analytics. With a … Translate product goals into technical solutions in collaboration with leadership Implement validation frameworks, unit tests, and monitoring pipelines Stay current with advances in machine learning and apply them where appropriate DevOps-first approach for model deployment Skills & Experience: Strong background in statistics, machine learning, and time series forecasting … ownership of delivery Strong communication and problem-solving skills Experience in demand forecasting or operations research Familiarity with Bayesian methods, Monte Carlo simulations, or reinforcement learning Exposure to high-scale SaaS or B2C products Why Apply? Build forecasting systems powering global commercial strategies Collaborate with a world-class More ❯

develop novel software solutions in the Defence domain, for example distributed middleware, software defined networks, and the application of artificial intelligence large language models, reinforcement learning, and others) to customer problems. Define and develop software solutions in architecture terms including system boundaries, data flows, workflows, system layouts, and … to be able to draw on previous experiences of Software Engineering roles and be able to demonstrate a clear commitment to Continuous Improvement and Learning from Experience. Experience of successful Software implementation within the defence industry is a bonus! Roke has a hybrid working policy as does our client More ❯

highly advantageous Strong communication skills particularly for non-technical stakeholders Awareness of how ML & AI models are deployed ML projects often require supervised, unsupervised & reinforcement learning Support AI Engineering team design & implement LLMs through identifying model flows, design prompts & fine-tuning models AI projects across include chatbot configuring More ❯

recruit a Lead Technologist to join our rapidly expanding Data and Decision Support Capability. The Data and Decision Support Capability has teams working in: reinforcement learning; NLP/LLMs; knowledge graphs and graph based neural networks; AI for RF and EW, radar, sonar, acoustics, AI for image and … interest are candidates with experience in one or more of the following domains: AI/ML for imagery including applied to remote sensing applications. Reinforcement learning. Natural Language Processing. Large Language Models. Knowledge graphs and graph-based neural nets. AI/ML for RF and EW, radar, sonar, acoustics. More ❯

Warrington. IBM has a hybrid work model with 3 days onsite expected. Your role and responsibilities We seek applications from innovative researchers with machine learning and artificial intelligence expertise to join our Climate and Sustainability and our Sustainable Materials team. You will tackle challenges at the forefront of AI … LLMs, NLP, data. generation), Physics, Mathematics, or a closely related field. Demonstrated experience in benchmarking foundational models for real-world applications. Experience in machine learning and developing AI models in frameworks such as Pytorch, TensorFlow, FSDP, Ray, and so forth. Expertise in one or more AI areas, including transfer … learning, model distillation, surrogate models, and reinforcement learning. Research experience in designing and developing domain-specific and/or generalisable models. Preferred technical and professional experience Strong research skills in large AI models for materials, geospatial and climate applications. Demonstrated experience in developing, training, and testing generative models More ❯

Warrington. IBM has a hybrid work model with 3 days onsite expected. Your role and responsibilities We seek applications from innovative researchers with machine learning and artificial intelligence expertise to join our Climate and Sustainability and our Sustainable Materials team. You will tackle challenges at the forefront of AI … LLMs, NLP, data. generation), Physics, Mathematics, or a closely related field. Demonstrated experience in benchmarking foundational models for real-world applications. Experience in machine learning and developing AI models in frameworks such as Pytorch, TensorFlow, FSDP, Ray, and so forth. Expertise in one or more AI areas, including transfer … learning, model distillation, surrogate models, and reinforcement learning. Research experience in designing and developing domain-specific and/or generalisable models. Preferred technical and professional experience Strong research skills in large AI models for materials, geospatial and climate applications. Demonstrated experience in developing, training, and testing generative models More ❯