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

research that supports both our applications and the broader scientific community Current areas of interest include large language models (LLMs), optimization methods for deep learning, reinforcement learning (RL), and generative models. Key Responsibilities Shape and communicate the strategic vision for research across the organization Oversee multiple high … impact research projects and ensure alignment with organizational goals Drive breakthroughs in machine learning and artificial intelligence through innovative re-search Mentor and provide leadership to senior researchers and research teams Represent the team in external partnerships, collaborations, and policy discussions Influence organizational research priorities and contribute to policy ...

Senior Robot Learning Engineer (Vision-Language-Action Models) Location: Bristol (On-Site) Job Type: Full-Time, Permanent Salary: Dependent on Experience (DOE) The Opportunity We're recruiting on behalf of a rapidly growing robotics and AI company seeking a Senior Robot Learning Engineer to develop and deploy advanced … improving robot intelligence and deploying those improvements into real-world environments. The Role You'll be responsible for developing, training and deploying advanced robot learning systems that enable increasingly capable manipulation and autonomous behaviours. Working alongside robotics, perception and infrastructure teams, you'll help shape the future of intelligent ...

client, a leading technology and engineering company within the Defence & Security sector, is currently seeking an experienced AI/Machine Learning Engineer to join their team on a permanent basis. Key Responsibilities: Delivering novel AI/ML solutions to technically complex or novel research problems Leading teams of engineers … across small research projects and larger multi-disciplinary development programmes Providing technical expertise in AI/ML disciplines, including Computer Vision, Reinforcement Learning, LLMs, and NLP Conceiving novel applications of AI/ML techniques and adapting academic research Developing and leading agile teams through complex software engineering tasks ...

complex and unique challenges. You will be an experienced researcher or developer with a strong interest in state-of-the-art AI and Machine Learning technologies. The AI/ML Engineer is responsible for delivering novel solutions to our customers challenging problems (Technically Complex or Novel Research), leading teams … programmes. You'll be primarily "hands on" and actively providing technical expertise across a broad range of AI/ML disciplines, including Computer Vision, Reinforcement Learning, LLMs and NLP. Due to the sector you will need to be eligible for SC Clearance. The Key Requirements Proven experience ...

Technology is seeking to recruit a researcher to join our rapidly expanding Data and Decision Support Capability. You should have a background in Machine Learning (ML) and/or statistical signal processing combined with programming skills in Python and experience in the use of libraries and toolboxes to support …/groups working across various AI/ML areas such as AI/ML for RF, EW, radar, sonar, distributed sensing-processing, data fusion, reinforcement learning, agent-based ML, autonomy, ML for signal processing, edge ML, image analysis and computer vision, generative AI, deep fake, LLMs, knowledge graphs ...

Systems could take you. Role Description BAE Systems Digital Intelligence Defence Innovation and Technology has a diverse range of AI teams working in: reinforcement learning, NLP, knowledge graphs, applications of LLMs, Agentic AI, Robotics, Autonomy, computer vision, AI for RF and EW, sonar and acoustics. We are looking … experience of working in projects on topics such as NLP, LLM applications/approaches (e.g. Agentic AI), 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 should have existing skills in Machine ...

client are an international semiconductor company. Responsibilities: Lead engineering efforts on complex research projects in machine learning and artificial intelligence Optimize algorithms and ensure the scalability and robustness of research prototypes and systems Coordinate closely with researchers to align engineering work with research objectives and project goals Requirements … Computer Science or related subject Extensive experience researching machine learning algorithms and systems Advanced proficiency in programming languages such as Python, C++, or similar Experience with optimization, reinforcement learning, and/or large language models (LLMs) Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX) Experience ...

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 … 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. ...

fast-moving product environment Nice to have Experience with agentic AI frameworks AI evaluation and guardrail implementation Fine-tuning or hosting LLMs Reinforcement learning or planning systems MSc or PhD in a relevant discipline Why apply? Opportunity to work on genuinely cutting-edge AI products High-impact engineering ...

research topics for customers across the defence, security and commercial sectors. The Data Applied Research group has a diverse range of teams working in reinforcement learning, NLP, knowledge graphs and graph based neural nets, AI for RF and EW, sonar and acoustics and you will have the opportunity … predicted to obtain, a 2:1 in your undergraduate degree in a relevant STEM subject such as Computer Science, Data Science (DS), Machine Learning (ML), Artificial Intelligence (AI), Robotics, Electronic/Electrical/Aerospace Engineering and Physics. An AI related Masters degree will also be beneficial. You will need ...