151 to 175 of 196 Reinforcement Learning Jobs in the UK excluding London

or the Daresbury Lab near 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, advancing generative and multi-modal … Intelligence focusing on computer vision, 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, such as LLMs or multi-modal foundation models. Demonstrated ability to communicate research through publications More ❯

or the Daresbury Lab near 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, advancing generative and multi-modal … Intelligence focusing on computer vision, 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, such as LLMs or multi-modal foundation models. Demonstrated ability to communicate research through publications More ❯

An exceptional opportunity for a Machine Learning Engineer (with Full-Stack experience) to join an innovative market leader at the forefront of developing next-generation solutions that transform digital interactions. The role will focus on projects to leverage state-of-the-art generative AI, retrieval-augmented generation (RAG), and reasoning frameworks to build intelligent and context-aware systems. We … are seeking talented Machine Learning Engineers with full-stack software development experience to join our client's team and help shape the future of AI-powered automation. Within this dynamic role varied duties will include: Search relevancy engineering. Conversational AI Development : Design, train, fine-tune, and deploy LLMs with reasoning capabilities. Retrieval-Augmented Generation (RAG): Implement, optimise, and scale … RAG pipelines for effective information retrieval from structured and unstructured sources. Model Fine-Tuning & Training : Train domain-specific models using techniques like LoRA, QLoRA, PEFT, reinforcement learning, and supervised fine-tuning (SFT). Model Deployment & Inferencing : Optimise model serving and inference using vLLM, DeepSpeed, TensorRT, Triton, and other acceleration frameworks. Multi-Agent Systems : Develop and integrate agentic capabilities More ❯

An exceptional opportunity for a Machine Learning Engineer (with Full-Stack experience) to join an innovative market leader at the forefront of developing next-generation solutions that transform digital interactions. The role will focus on projects to leverage state-of-the-art generative AI, retrieval-augmented generation (RAG), and reasoning frameworks to build intelligent and context-aware systems. We … are seeking talented Machine Learning Engineers with full-stack software development experience to join our client's team and help shape the future of AI-powered automation. Within this dynamic role varied duties will include: Search relevancy engineering. Conversational AI Development : Design, train, fine-tune, and deploy LLMs with reasoning capabilities. Retrieval-Augmented Generation (RAG): Implement, optimise, and scale … RAG pipelines for effective information retrieval from structured and unstructured sources. Model Fine-Tuning & Training : Train domain-specific models using techniques like LoRA, QLoRA, PEFT, reinforcement learning, and supervised fine-tuning (SFT). Model Deployment & Inferencing : Optimise model serving and inference using vLLM, DeepSpeed, TensorRT, Triton, and other acceleration frameworks. Multi-Agent Systems : Develop and integrate agentic capabilities More ❯

based in the UK or Ireland for this position Great benefits: £70,000-90,000 Tech setup of your choice (MacBook Pro or equivalent, monitors, etc.) £/€800 annual learning budget, plus two hours per week as 'Focus Fridays'. Flexible work - choose a working setup that works for you, our only ask is to see you once a … by millions. We work in a dynamic environment, where we learn and grow by tackling complex technical challenges. Responsibilities Design, build, and maintain AI systems and tools using machine learning and large language models (LLMs), with a strong focus on prompt engineering and model fine-tuning. Collaborate with cross-functional teams to identify opportunities for AI and automation across … monitor, and manage AI services. Contribute to the development of reusable AI components and APIs to support product and internal teams. Stay informed of the latest developments in machine learning and generative AI to drive continuous improvement. What are we looking for? Technical Proficiency: Proven experience operating as a senior level engineer within a product or SaaScompany Proven experience More ❯

Social network you want to login/join with: Machine Learning & Reinforcement Learning Lead, Slough Client: Opus Recruitment Solutions Location: Slough, United Kingdom Job Category: Other EU work permit required: Yes Job Views: 2 Posted: 06.06.2025 Expiry Date: 21.07.2025 Job Description: Hot Opportunity Alert! Central London Office I’m thrilled to be working with one of the … most exciting robotics R&D companies out there. We’re looking for a Senior Engineer with deep expertise in reinforcement learning to help drive the development of intelligent, full-body motion capabilities. This role is ideal for someone passionate about building robust, real-world solutions for dynamic locomotion and manipulation in complex environments. Key Responsibilities: Design and implement … learning-based control strategies for advanced locomotion tasks such as walking, balancing under load, stair climbing, and fall recovery. Develop high-fidelity simulation environments that reflect real-world dynamics, including actuator constraints and environmental interactions. Conduct rigorous testing in both simulated and physical environments to ensure performance and reliability. Collaborate with multidisciplinary teams to integrate control systems into a More ❯

s with highly relevant commercial 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 package including medical insurance and More ❯

is hiring Applied Scientists to help improve our ability to plan and execute package movements. As an Applied Scientist in Amazon Shipping, you will work on multiple challenging machine learning problems spread across a wide spectrum of business problems. You will build ML models to help our transportation cost auditing platforms effectively audit off-manifest (discrepancies between planned and … customer notifications. Your role will require you to demonstrate Think Big and Invent and Simplify, by refining and translating Transportation domain-related business problems into one or more Machine Learning problems. You will use techniques from a wide array of machine learning paradigms, such as supervised, unsupervised, semi-supervised and reinforcement learning. Your model choices will include … but not be limited to, linear/logistic models, tree based models, deep learning models, ensemble models, and Q-learning models. You will use techniques such as LIME and SHAP to make your models interpretable for your customers. You will employ a family of reusable modelling solutions to ensure that your ML solution scales across multiple regions (such More ❯

or the Daresbury Lab near 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 AI expertise to join our Climate and Sustainability and Sustainable Materials teams. You will address challenges at the forefront of AI, advancing generative and multi-modal models for … especially in AI focusing on computer vision, LLMs, NLP, data generation), Physics, Mathematics, or a related field. Experience in benchmarking foundational models for real-world applications. Proficiency in machine learning frameworks such as PyTorch, TensorFlow, FSDP, Ray, etc. Expertise in AI areas like transfer learning, model distillation, surrogate models, and reinforcement learning. Research experience in designing and More ❯

in the EU Headquarters in Luxembourg (alternatively: Barcelona or Berlin or London), designed to maximize interaction with the team and stakeholders. Key job responsibilities Solve complex optimization and machine learning problems using scalable algorithmic techniques. Design and develop efficient research prototypes that address real-world problems in the massive logistics network of Amazon. Lead complex time-bound, long-term … in leadership to invest in programs of several hundreds millions euros every year. Above all, we are having fun solving real-world problems, in real-world speed, while failing & learning along the way. We use modular algorithmic designs in the domain of combinatorial optimization, solving complicated generalizations of core OR problems with the right level of decomposition, employing parallelization … and approximation algorithms. We use deep learning, bandits, and reinforcement learning to put data into the loop of decision making. We like to learn new techniques to surprise business stakeholders by making possible what they cannot anticipate. For this reason, we work closely with Amazon scholars and experts from Academic institutions. We code our prototypes to be More ❯

Social network you want to login/join with: Machine Learning Engineer - Deep Learning, slough col-narrow-left Client: Location: slough, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 2 Posted: 06.06.2025 Expiry Date: 21.07.2025 col-wide Job Description: RAPP is looking for a technically sharp, hands-on Data Scientist to … to work on impactful forecasting and causal AI projects within a fast-moving, agency-style environment. What You'll Be Doing: Designing and building custom forecasting models (XGBoost, deep learning, RL) for real-world retail scenarios Applying causal and graph-based methods to understand and optimise customer behaviour Working across the full stack of data science, from data wrangling … to deployment Operating within a modern MLOps setup (Docker, CI/CD, AWS) What We're Looking For: Strong practical knowledge of deep learning fundamentals - ideally with PyTorch Experience building bespoke models for time series, tabular, image, or text data Hands-on forecasting experience with retail or consumer datasets Skilled in causal inference, graph AI, or reinforcement learning More ❯

Responsibilities Contribute to and drive an ambitious, high-impact, machine learning research agenda in the molecular sciences. Design and develop new machine learning models and algorithms. Write code to run and evaluate large-scale ML experiments. Work with internal and external partners to deploy and evaluate models and workflows. Prepare technical papers and presentations. Collaborate on a day … to-day basis with an international and interdisciplinary research team towards a common research goal. Qualifications Required: Track record in Deep Learning research, evidenced by a PhD or similar research experience in the field. Experience designing and optimizing new architectures and algorithms, and conducting experiments to study their performance. Proficiency in Python software development, demonstrated by published software projects … e.g., GitHub). Experience in developing and implementing deep learning systems (e.g., in PyTorch or JAX). Preferred: Experience working with graph data, reinforcement learning, and/or generative models. Experience with molecular data in real-world drug discovery. Track record of publications in ML conferences and/or scientific journals. Additional Information Microsoft is an equal More ❯

environment. What you'll be doing: Designing and improving control algorithms using techniques such as linear, nonlinear, and model predictive control Training hybrid and end-to-end policies using reinforcement learning Developing accurate simulation models and enhancing system realism Writing efficient, production-level code in both C++ and Python Building algorithms for state estimation and motion trajectory optimisation … Participating in real-world testing with hardware teams on robotic systems What we're looking for: Masters Degree or PhD in Control Engineering, Machine Learning, Robotics, Applied Mathematics or a similar field Strong background in robotics control systems and/or machine learning for real-time applications Proficient in Python and C++ Solid knowledge of kinematics, dynamics, and More ❯

environment. What you’ll be doing: Designing and improving control algorithms using techniques such as linear, nonlinear, and model predictive control Training hybrid and end-to-end policies using reinforcement learning Developing accurate simulation models and enhancing system realism Writing efficient, production-level code in both C++ and Python Building algorithms for state estimation and motion trajectory optimisation … Participating in real-world testing with hardware teams on robotic systems What we’re looking for: Masters Degree or PhD in Control Engineering, Machine Learning, Robotics, Applied Mathematics or a similar field Strong background in robotics control systems and/or machine learning for real-time applications Proficient in Python and C++ Solid knowledge of kinematics, dynamics, and More ❯

you want to login/join with: Deliver end-to-end data science solutions in a consultancy environment Build and deploy custom forecasting models (e.g., time series, XGBoost, deep learning) Implement reinforcement learning techniques for dynamic prediction Apply causal inference and graph AI methods to uncover complex relationships Develop and containerize models using Docker Work within modern … to streamline deployment Operate in a cloud environment (AWS preferred) Required Skills & Experience: Strong experience as a Full Stack Data Scientist Deep expertise in time series forecasting and machine learning (XGBoost, deep learning, reinforcement learning) Practical knowledge of Causal AI and Graph AI methodologies Proficiency in Python for data science and model development Experience with Docker More ❯

opening up possibilities to build 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 perception through to action—combining … unified, responsive behaviours. To be 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, TensorFlow, JAX) Location: London (hybrid, with 4 days onsite and flexible hours) This is a More ❯

wide Job Description: Senior Data 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 growing client base of major … and forecasting libraries using Python 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 Experience with modern ML models … working across teams and taking 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 data science team Up to More ❯

Research positions available in machine learning at all levels: Research Fellow, Postdoc, PhD student. Turing AI Fellowship, Univ Manchester, UK Still some positions available in my new research group funded by the Turing AI World-Leading Researcher Fellowship: Human-AI Research Teams: Steering AI in Experimental Design and Decision-Making. Positions are available at all stages; we seek to … but leave some for future years as well: - Research Fellow - Postdoc - PhD Student The work involves probabilistic modelling in exciting new settings, and developing new methods for probabilistic machine learning and inference. Applicants with outstandingly strong expertise in one of following topics are welcome, or strong expertise in one and keen interest in working with expert colleagues on the … others: automatic experimental design, Bayesian inference, human-in-the-loop learning, advanced user modelling, machine teaching, privacy-preserving learning, reinforcement learning, inverse reinforcement learning, simulator-based inference, likelihood-free inference. There will be particularly good opportunities to join new work on collaborative modelling and decision-making with AI. And applications in drug design, synthetic More ❯

We are seeking a highly creative and motivated Postdoctoral Research Assistant/Associate to join the Machine Learning Group in the Department of Engineering, University of Cambridge, UK. This position will contribute to the research programme of the recently founded "AI Hub in Generative Models", a research consortium funded by EPSRC. The goal of the programme is to do … The resulting methods are also expected to have an impact in materials science, e.g, by leading to more effective batteries. The Research Assistant/Associate will join the Machine Learning Group at the Department of Engineering, working with Prof. José Miguel Hernández Lobato and Prof. Mark Girolami and other members of the Cambridge Machine Learning Group ( ). The … with other participants of the "AI Hub in Generative Models" (UCL , Oxford, Imperial, Edinburgh, Cardiff, Manchester and Surrey) and with its industrial partners. Key responsibilities include working on deep learning, probabilistic modelling, deep generative modelling, and graph neural networks. Additional responsibilities include developing research objectives and proposals; presentations and publications; assisting with teaching; liaising and networking with colleagues and More ❯

Research Assistant/Associate in Machine Learning (Fixed Term) Join to apply for the Research Assistant/Associate in Machine Learning (Fixed Term) role at University of Cambridge Research Assistant/Associate in Machine Learning (Fixed Term) 1 day ago Be among the first 25 applicants Join to apply for the Research Assistant/Associate in Machine … Learning (Fixed Term) role at University of Cambridge We are seeking a highly creative and motivated Postdoctoral Research Assistant/Associate to join the Machine Learning Group in the Department of Engineering, University of Cambridge, UK. This position will contribute to the research programme of the recently founded "AI Hub in Generative Models", a research consortium funded by … The resulting methods are also expected to have an impact in materials science, e.g, by leading to more effective batteries. The Research Assistant/Associate will join the Machine Learning Group at the Department of Engineering, working with Prof. José Miguel Hernández Lobato and Prof. Mark Girolami and other members of the Cambridge Machine Learning Group (http:/ More ❯

field (Computer Science, Mathematics are most likely to fit the role, but we are open to Chemistry, Materials Science, Chemical Engineering, etc.), expertise in cutting-edge AI and machine learning is essential; while structure prediction or materials chemistry experience would be advantageous, it is not a pre-requisite for the role. This post would be ideal for an ambitious … that the developed methods make optimal use of domain expertise and integrate fully into “human in the loop” workflows. This post is available for two years. Keywords: Geometric Deep Learning, in particular Graph Neural Networks, Deep Reinforcement Learning, Generative Modelling, in particular Denoising Diffusions, Combinatorial Optimisation. Commitment to Diversity The University of Liverpool is committed to enhancing More ❯

/building Gen AI solutions 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, generating content & next best action More ❯

be part of The Online Safety Technology team conducts research to build knowledge and understanding in subject areas fundamental to online safety. This includes, for example, AI and machine learning, digital identity, privacy enhancing technologies, decentralisation, user experience, gaming, network infrastructure, and digital forensics. The team provides technical expertise to policy, supervision and enforcement colleagues in the wider Online … We are looking for a technically strong and strategically minded Senior AI/ML Technology Advisor to provide expert guidance on the technical aspects of artificial intelligence and machine learning as they relate to online safety. The successful candidate will play a leading role within the Online Safety Technology team to help design and deliver a programme of work … that will develop and share fundamental understanding of the Artificial Intelligence and Machine Learning technologies that underpin online services to help meet Ofcom's Online Safety objectives. This position is ideal for candidates with deep technical expertise and a passion for applying AI responsibly in complex socio-technical environments. Your Key Responsibilities Technical Advisory & Policy Support Provide expert guidance More ❯

be part of The Online Safety Technology team conducts research to build knowledge and understanding in subject areas fundamental to online safety. This includes, for example, AI and machine learning, digital identity, privacy enhancing technologies, decentralisation, user experience, gaming, network infrastructure, and digital forensics. The team provides technical expertise to policy, supervision and enforcement colleagues in the wider Online … We are looking for a technically strong and strategically minded Senior AI/ML Technology Advisor to provide expert guidance on the technical aspects of artificial intelligence and machine learning as they relate to online safety. The successful candidate will play a leading role within the Online Safety Technology team to help design and deliver a programme of work … that will develop and share fundamental understanding of the Artificial Intelligence and Machine Learning technologies that underpin online services to help meet Ofcom's Online Safety objectives. This position is ideal for candidates with deep technical expertise and a passion for applying AI responsibly in complex socio-technical environments. Your Key Responsibilities Technical Advisory & Policy Support Provide expert guidance More ❯

be part of The Online Safety Technology team conducts research to build knowledge and understanding in subject areas fundamental to online safety. This includes, for example, AI and machine learning, digital identity, privacy enhancing technologies, decentralisation, user experience, gaming, network infrastructure, and digital forensics. The team provides technical expertise to policy, supervision and enforcement colleagues in the wider Online … We are looking for a technically strong and strategically minded Senior AI/ML Technology Advisor to provide expert guidance on the technical aspects of artificial intelligence and machine learning as they relate to online safety. The successful candidate will play a leading role within the Online Safety Technology team to help design and deliver a programme of work … that will develop and share fundamental understanding of the Artificial Intelligence and Machine Learning technologies that underpin online services to help meet Ofcom's Online Safety objectives. This position is ideal for candidates with deep technical expertise and a passion for applying AI responsibly in complex socio-technical environments. Your Key Responsibilities Technical Advisory & Policy Support Provide expert guidance More ❯