1 to 25 of 30 Permanent Reinforcement Learning Jobs in the UK excluding London

+ Benefits What if your research could shape the future of robotics? Are you a Senior Applied AI Research Scientist working in Robotics, Machine Learning, Embodied AI or Foundation Models? Do you want access to real humanoid robots, large-scale AI training infrastructure, and the freedom to explore breakthrough … help identify the technologies that will power future generations of intelligent robotic systems. Key Responsibilities Research robotics foundation models, embodied AI and advanced robot learning systems Design and execute large-scale AI and robotics experiments Build benchmark frameworks to evaluate robot intelligence and manipulation capabilities Develop research prototypes that ...

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 ...

deliver advanced AI and data solutions at citizen scale. \n 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 of Practice implementation … BUSINESS: \n As a Lead Data Scientist at Kainos, you will architect, design, and deliver advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI frameworks, AIOps best practices and scalable cloud-native architectures. Your role ...

that prices electricity for thousands of businesses, balances portfolios in real time, and sits on the critical path for every deal tem closes. Machine learning is at the heart of Rosso, combining forecasting, optimisation and classical ML to process billions of data points and drive thousands of automated decisions … state of the art solution, to fuel our expansion in the UK and take Rosso international. We're looking for a Senior Staff Machine Learning Engineer to lead pricing ML within Rosso, building a platform that proactively drives growth by targeting the right customers to sign at the right ...

join a rapidly expanding Data and Decision Support Capability team. This role focuses on cutting-edge research and development across various AI domains, including reinforcement learning, NLP/LLMs, knowledge graphs, computer vision, and advanced sensor processing (radar, sonar, acoustics, and RF). Typical Responsibilities Technical Leadership: Lead … Candidates should ideally possess expertise or interest in one or more of the following domains: AI/ML for imagery and remote sensing applications Reinforcement learning Natural Language Processing (NLP) & Large Language Models (LLMs) Knowledge graphs and graph-based neural networks AI/ML applied to RF, Electronic ...

technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. \n As a Senior Machine Learning and Generative AI Engineer in Public Cloud Engineering, you will lead hands-on architecture, development, and production deployment of ML and LLM-powered solutions. … certification on software engineering concepts and 5+ years applied experience \nMS or PhD in Computer Science, Data Science, Statistics, Mathematical Sciences, or Machine Learning; strong background in mathematics and statistics.Extensive expertise applying data science and ML to business problems with strong programming in Python and/or Java.Hands ...

continued growth and investment. This is an exciting opportunity to join a multidisciplinary engineering team developing next-generation intelligent systems that combine AI, machine learning and robotics to solve complex real-world challenges. Working closely with software engineers, data scientists and product teams, you'll play a key role … driven solutions from concept through to production. Responsibilities: Design and develop AI-powered software for robotic and autonomous systems. Build, train and optimise machine learning models for real-world applications. Develop computer vision and sensor fusion capabilities. Work with LLMs and Generative AI technologies to create intelligent workflows ...

frameworks ( TensorFlow, PyTorch, Scikit-learn, Hugging Face ). Hands-on experience with NLP (LLMs, transformers, embeddings, vector databases) . Deep understanding of neural networks, reinforcement learning, and generative models . Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Kubeflow, Airflow, Docker, Kubernetes). Strong knowledge ...

frameworks ( TensorFlow, PyTorch, Scikit-learn, Hugging Face ). Hands-on experience with NLP (LLMs, transformers, embeddings, vector databases) . Deep understanding of neural networks, reinforcement learning, and generative models . Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Kubeflow, Airflow, Docker, Kubernetes). Strong knowledge ...

frameworks ( TensorFlow, PyTorch, Scikit-learn, Hugging Face ). Hands-on experience with NLP (LLMs, transformers, embeddings, vector databases) . Deep understanding of neural networks, reinforcement learning, and generative models . Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Kubeflow, Airflow, Docker, Kubernetes). Strong knowledge ...

Automation theme covers all methods and technology that bring digitisation and optimisation of energy to scale using complex algorithms based on data science, machine learning, and the full spectrum of AI techniques (e.g. generative, agentic, etc). Specifically, the role entails: Leading and developing a team of research engineers … locations, but we'd prefer you to be based in or around London. The ideal candidate: An adaptable, experienced data scientist or machine learning expert that wants to tackle complex challenges and push the state of the art for automation in the energy sector. Of course, we're also ...

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 ...

large-scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project. Thanks to Faculty platform, you will have access to powerful computational resources … short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science ...

large-scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project. Thanks to Faculty platform, you will have access to powerful computational resources … short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science ...

large-scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project. Thanks to Faculty platform, you will have access to powerful computational resources … short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science ...

large-scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project. Thanks to Faculty platform, you will have access to powerful computational resources … short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science ...

large-scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project. Thanks to Faculty platform, you will have access to powerful computational resources … short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science ...

large-scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project. Thanks to Faculty platform, you will have access to powerful computational resources … short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science ...

plans, 10% employer pension contributions and an extensive structured professional development programme. Keywords: Defence, EM, Electromagnetic, RF, Radio Frequency, AI, Artificial Intelligence, ML, Machine Learning, GNNs, Transformers, Autoencoders, Reinforcement Learning, Multi-Modal AI, Data Fusion, EPM, Electronic Protection Measures, ESM, Electronics Support Measures, EA, Electronics Attack, Python ...

joining a leading AI research firm, building ML models that power products and drive decision-making at scale. Build, train, and deploy machine learning models using Python, TensorFlow, PyTorch Work on supervised, unsupervised, and reinforcement learning problems Clean and process large datasets to extract insights and train ...

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. ...

Computer Science wishes to appoint a Lecturer (Assistant Professor) or Senior Lecturer (Associate Professor) or Reader (Associate Professor) in AI, specifically Natural Language Processing, Reinforcement Learning and/or AI Security/Assurance/Verification, to join our strong and growing Artificial Intelligence and Machine Learning Research … should also exhibit academic leadership and a clear research vision - Additionally, Senior Lecturers and Readers must have current knowledge of modern teaching methodologies, including learning technologies, and a strong research strategy - All roles require excellent organisational and administrative skills Appointments will be made at Grade 8 for Lecturer positions ...

Mapping) Navigation and autonomy systems Sensor fusion and state estimation Gazebo, Isaac Sim, MATLAB/Simulink or similar simulation platforms Real-time systems development Reinforcement learning Pybind11 What We're Looking For Demonstrable experience delivering robotics projects Strong software engineering principles and coding standards Ability to take ownership ...

forefront of the Group’s AI transformation. In this role, you will lead the technical delivery of cutting‐edge artificial intelligence, machine learning, and generative AI solutions, guiding their application to drive business value while ensuring ethical and responsible implementation. You will work within the AI Centre of Excellence … forefront of the Group’s AI transformation. In this role, you will lead the technical delivery of cutting‐edge artificial intelligence, machine learning, and generative AI solutions, guiding their application to drive business value while ensuring ethical and responsible implementation. You will work within the AI Centre of Excellence ...

Summary As an AI technical delivery lead at Lloyds Banking Group, you will lead the design and delivery of cutting‐edge artificial intelligence, machine learning, and generative AI solutions to drive business value while ensuring ethical and responsible implementation. Responsibilities AI Solution Design: Lead the development … development workflows. Team Mentorship: Coach and mentor junior data scientists and AI engineers, helping to grow team capabilities and fostering a culture of continuous learning and curiosity. Continuous Learning: Maintain an active view of emerging tools and techniques, develop proof‐of‐concepts to demonstrate new capabilities, and guide ...