1 to 25 of 42 Permanent Reinforcement Learning Jobs in the UK excluding London

advanced prompt engineering strategies Leverage Retrieval-Augmented Generation (RAG) for enhanced contextual performance Build intelligent agents using frameworks like LangChain, LlamaIndex, CrewAI, AutoGen Apply reinforcement learning techniques including Q-learning , policy gradients , and RLlib Collaborate with cross-functional teams to integrate AI solutions into scalable products Ensure … background in fine-tuning and prompt engineering Hands-on experience with RAG pipelines Familiarity with Agent Frameworks (LangChain, LlamaIndex, CrewAI, AutoGen) Solid understanding of reinforcement learning concepts and tools (Q-learning, policy gradients, RLlib) Azure AI Engineer Associate certification (or willingness to obtain) Bachelor's degree ...

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 of Practice … Data Scientist Manager at Kainos, you’ll be responsible for successful delivery of advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI development and scalable cloud-native architectures. Your role will involve technical leadership, engaging ...

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 of Practice … Data Scientist Manager at Kainos, you’ll be responsible for successful delivery of advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI development and scalable cloud-native architectures. Your role will involve technical leadership, engaging ...

currently working on an AI Engineer role with a global language and translation company. You will be designing, developing, and deploying cutting-edge machine learning solutions across the company.If you enjoy end-to-end ownership (from experimentation to deployment), working with AWS, Docker, MLflow, TensorFlow/PyTorch, and contributing … code in Python Experience with TensorFlow, PyTorch and Scikit-learn Experience with NLPs and LLMs Speech, Text or Audio data Strong knowledge of machine learning techniques and algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning ...

Overview For our Microsoft Research Cambridge (England, UK) lab we are seeking Research Interns in the area of Deep Learning, Generative AI and Decision Making Agents, with applications in Creative media, Robotics and Gaming. We encourage applications from all candidates with a background in World Modelling, Imitation and Reinforcement Learning, Foundation Models or a related field. If you are excited about exploring challenges that arise in real-world robotics applications and/or creative uses of current AI technology, and about working with experts from multiple disciplines to address some of these challenges, then we’d love ...

DevOps Engineer - Reinforcement Learning Platforms We are seeking an experienced DevOps Engineer to help build and scale a web-based platform for reinforcement learning (RL) training and RLOps. You will design, implement, and maintain the cloud infrastructure, CI/CD pipelines, and deployment systems that support … solving and communication skills Compensation & Benefits * Stock options* 30 days' holiday plus bank holidays* Flexible and remote working options* Enhanced parental leave* £500 annual learning and development budget* Pension scheme* Regular socials and quarterly gatherings* Bike-to-Work scheme ...

looking for a Lead AI Technologist to help lead the team, researching and developing novel AI/ML technologies. You'll lead projects spanning reinforcement learning, NLP, computer vision, and signal processing, while mentoring teams and shaping partnerships with academic and industry leaders. Key Skills/Experience: Required … technical review Proposal writing experience Strong communication and mentoring skills Expertise in one or more of: AI/ML for imagery and remote sensing Reinforcement learning Natural Language Processing and Large Language Models Knowledge graphs and graph neural networks AI for RF, EW, radar, sonar, or acoustics Autonomy ...

Experience building and deploying advanced analytics solutions in a large scale (preferably B2C) cloud environmen t Experience in deploying commercially viable applications using deep learning techniques combining structured and unstructured data is highly desirable Ability to quickly understand a business objective, problem solving to create an analytical solution …/or data analysis e.g. Python, Tensorflow (essential) Database experience, preferably SQL (essential) Expertise in cutting-edge AI methodologies, including Generative AI and Reinforcement Learning Machine learning - Supervised/unsupervised learning, regression, decision trees, random forests, boosting, clustering (essential) The rewards There's one thing people ...

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 ...

Overview We are seeking Senior Machine Learning Researcher candidates for our research in the area of People-Centric AI at Microsoft Research Cambridge (UK). The successful candidate will be responsible for pushing the state of the art in machine learning to enable human agency and skill, support … creativity and collaboration, and ensure equitable representation and participation. Key machine learning challenges that we aim to address include, but are not limited to, human-in-the-loop learning, uncertainty quantification, value alignment, interpretability, fairness and bias mitigation, as well as related areas. People-Centric ...

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 ...

preparing for an international launch, we're now looking for a Senior Data Scientist. What you'll be doing: Build, deploy, and scale machine learning systems that forecast demand, optimise staffing, and improve operational performance across thousands of venues. Lead projects end-to-end, from data design and modelling … Confident working in AWS or similar cloud environments (SageMaker, Lambda, Docker, etc.). Experienced in (or eager to explore) areas such as forecasting, optimisation, reinforcement learning, generative AI, or computer vision. Solid engineering mindset, you know how to take models from research to production and keep them running ...

strong command of system design, infrastructure, and CI/CD pipelines, and you're comfortable taking a feature from concept to deployment. Machine Learning Engineering & Research: A comprehensive background in machine learning, with deep experience in ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and a strong grasp … Experience in agentic system design and tool calling (Adk, A2A, MCP, etc...) Prior work on human-in-the-loop systems, data annotation platforms, or reinforcement learning from human feedback (RLHF). An interest or experience in synthetic data, human-in-the-loop systems, or AI alignment. Experience building ...

strong command of system design, infrastructure, and CI/CD pipelines, and you're comfortable taking a feature from concept to deployment. Machine Learning Engineering & Research: A comprehensive background in machine learning, with deep experience in ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and a strong grasp … Experience in agentic system design and tool calling (Adk, A2A, MCP, etc...) Prior work on human-in-the-loop systems, data annotation platforms, or reinforcement learning from human feedback (RLHF). An interest or experience in synthetic data, human-in-the-loop systems, or AI alignment. Experience building ...

strong command of system design, infrastructure, and CI/CD pipelines, and you're comfortable taking a feature from concept to deployment. Machine Learning Engineering & Research: A comprehensive background in machine learning, with deep experience in ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and a strong grasp … Experience in agentic system design and tool calling (Adk, A2A, MCP, etc...) Prior work on human-in-the-loop systems, data annotation platforms, or reinforcement learning from human feedback (RLHF). An interest or experience in synthetic data, human-in-the-loop systems, or AI alignment. Experience building ...

strong command of system design, infrastructure, and CI/CD pipelines, and you're comfortable taking a feature from concept to deployment. Machine Learning Engineering & Research: A comprehensive background in machine learning, with deep experience in ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and a strong grasp … Experience in agentic system design and tool calling (Adk, A2A, MCP, etc...) Prior work on human-in-the-loop systems, data annotation platforms, or reinforcement learning from human feedback (RLHF). An interest or experience in synthetic data, human-in-the-loop systems, or AI alignment. Experience building ...

strong command of system design, infrastructure, and CI/CD pipelines, and you're comfortable taking a feature from concept to deployment. Machine Learning Engineering & Research: A comprehensive background in machine learning, with deep experience in ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and a strong grasp … Experience in agentic system design and tool calling (Adk, A2A, MCP, etc...) Prior work on human-in-the-loop systems, data annotation platforms, or reinforcement learning from human feedback (RLHF). An interest or experience in synthetic data, human-in-the-loop systems, or AI alignment. Experience building ...

strong command of system design, infrastructure, and CI/CD pipelines, and you're comfortable taking a feature from concept to deployment. Machine Learning Engineering & Research: A comprehensive background in machine learning, with deep experience in ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and a strong grasp … Experience in agentic system design and tool calling (Adk, A2A, MCP, etc...) Prior work on human-in-the-loop systems, data annotation platforms, or reinforcement learning from human feedback (RLHF). An interest or experience in synthetic data, human-in-the-loop systems, or AI alignment. Experience building ...

strong command of system design, infrastructure, and CI/CD pipelines, and you're comfortable taking a feature from concept to deployment. Machine Learning Engineering & Research: A comprehensive background in machine learning, with deep experience in ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and a strong grasp … Experience in agentic system design and tool calling (Adk, A2A, MCP, etc...) Prior work on human-in-the-loop systems, data annotation platforms, or reinforcement learning from human feedback (RLHF). An interest or experience in synthetic data, human-in-the-loop systems, or AI alignment. Experience building ...

strong command of system design, infrastructure, and CI/CD pipelines, and you're comfortable taking a feature from concept to deployment. Machine Learning Engineering & Research: A comprehensive background in machine learning, with deep experience in ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and a strong grasp … Experience in agentic system design and tool calling (Adk, A2A, MCP, etc...) Prior work on human-in-the-loop systems, data annotation platforms, or reinforcement learning from human feedback (RLHF). An interest or experience in synthetic data, human-in-the-loop systems, or AI alignment. Experience building ...

strong command of system design, infrastructure, and CI/CD pipelines, and you're comfortable taking a feature from concept to deployment. Machine Learning Engineering & Research: A comprehensive background in machine learning, with deep experience in ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and a strong grasp … Experience in agentic system design and tool calling (Adk, A2A, MCP, etc...) Prior work on human-in-the-loop systems, data annotation platforms, or reinforcement learning from human feedback (RLHF). An interest or experience in synthetic data, human-in-the-loop systems, or AI alignment. Experience building ...

strong command of system design, infrastructure, and CI/CD pipelines, and you're comfortable taking a feature from concept to deployment. Machine Learning Engineering & Research: A comprehensive background in machine learning, with deep experience in ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and a strong grasp … Experience in agentic system design and tool calling (Adk, A2A, MCP, etc...) Prior work on human-in-the-loop systems, data annotation platforms, or reinforcement learning from human feedback (RLHF). An interest or experience in synthetic data, human-in-the-loop systems, or AI alignment. Experience building ...

strong command of system design, infrastructure, and CI/CD pipelines, and you're comfortable taking a feature from concept to deployment. Machine Learning Engineering & Research: A comprehensive background in machine learning, with deep experience in ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and a strong grasp … Experience in agentic system design and tool calling (Adk, A2A, MCP, etc...) Prior work on human-in-the-loop systems, data annotation platforms, or reinforcement learning from human feedback (RLHF). An interest or experience in synthetic data, human-in-the-loop systems, or AI alignment. Experience building ...

strong command of system design, infrastructure, and CI/CD pipelines, and you're comfortable taking a feature from concept to deployment. Machine Learning Engineering & Research: A comprehensive background in machine learning, with deep experience in ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and a strong grasp … Experience in agentic system design and tool calling (Adk, A2A, MCP, etc...) Prior work on human-in-the-loop systems, data annotation platforms, or reinforcement learning from human feedback (RLHF). An interest or experience in synthetic data, human-in-the-loop systems, or AI alignment. Experience building ...

strong command of system design, infrastructure, and CI/CD pipelines, and you're comfortable taking a feature from concept to deployment. Machine Learning Engineering & Research: A comprehensive background in machine learning, with deep experience in ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and a strong grasp … Experience in agentic system design and tool calling (Adk, A2A, MCP, etc...) Prior work on human-in-the-loop systems, data annotation platforms, or reinforcement learning from human feedback (RLHF). An interest or experience in synthetic data, human-in-the-loop systems, or AI alignment. Experience building ...