1 to 25 of 55 Permanent Reinforcement Learning Jobs in the UK excluding London

Postdoc and Research Fellow positions in Machine Learning, Centre for AI Fundamentals, Manchester, UK Aug 18, 2023 Postdoc and Research Fellow positions in Machine Learning, Centre for AI Fundamentals, Manchester, UK Keywords include automatic experimental design, Bayesian inference, human-in-the-loop learning, machine teaching, privacy-preserving … learning, reinforcement learning, inverse reinforcement learning, computational rationality and user modelling, and simulator-based inference. More background: The University of Manchester is making a strategic investment in fundamentals of AI, to complement its existing strengths in AI applications across several prominent research fields ...

teams to meet research goals Report research findings internally and externally Contribute to internal product development and customer research projects Apply cutting-edge machine learning research to real-world problems Participate in developing open source libraries such as Trieste, GPflow, and GPflux Develop theoretically rigorous and scalable algorithms Publish … papers at leading machine learning conferences Requirements A PhD in a technical field or an equivalent level of experience Published work in machine learning, statistics, or optimization conferences and/or journals Background in decision making, including Bayesian optimization, bandits, reinforcement learning, or active learning ...

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 … 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 ...

designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. … scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer varied learning opportunities and career pathways for those driven to achieve exceptional results through collective effort. Minimum qualifications: PhD in Computer Science, a related field ...

Senior Research Engineer - AI/Deep Learning/LLM/Python Our client's research team applies AI to the design and optimisation of semiconductors, alongside fundamental research that supports both internal applications and the broader scientific community. Current areas of interest include large language models, optimisation methods … deep learning, reinforcement learning and generative models. This is a permanent role, working 100% onsite in either London or Cambridge What you will be doing Leading engineering efforts on complex research projects in machine learning and AI Optimising algorithms and ensuring the scalability and robustness ...

Researcher positions in probabilistic machine learning: Research Fellow, Postdoc and PhD Student Manchester Centre for AI Fundamentals has researcher positions open at several levels: Research Fellow, Postdoc and Postgraduate Research Student (funded). DL June 30, 2022 I am hiring researchers to my team working on probabilistic machine learning. … Keywords include: Bayesian inference, reinforcement learning and inverse reinforcement learning, automatic experimental design, multi-agent learning, Bayesian deep learning, amortized inference, human-in-the-loop learning, user modelling, collaborative AI, privacy-preserving learning, likelihood-free inference. Different researchers work on different ...

relevant to nanoscale magnetic resonance imaging (see e.g. PRX Quantum 7, 020360 (2026)). The successful candidate has a background in artificial intelligence, machine learning, applied mathematics, computer science, or theoretical physics. They will develop advanced algorithms based on Bayesian experimental design, variational Bayesian inference, and reinforcement learning … Responsibilities The key tasks of this project are to undertake research in the following areas: Develop robust multi-parameter quantum sensing protocols based on reinforcement learning Collaborate with experimental colleagues in the implementations of the protocol on state-of-the-­art quantum control hardware Intellectual property protection with ...

scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related … degree in Computer Science, Mathematics, Physics, a related quantitative field, or equivalent practical experience. 4 years of experience building, scaling, and debugging machine learning models using deep learning frameworks (e.g., JAX, PyTorch, or TensorFlow). Experience in one core area: Reinforcement Learning (RL), Post-Training ...

Senior Lecturer/Lecturer (Asst Prof) and other positions in Machine Learning in Manchester, UK Apr 25, 2022 Manchester Centre for AI Fundamentals has positions open at all levels: Senior Lecturer, Lecturer, Research Fellow, Postdoc, and PhD (funded). Now is the time to join the University of Manchester … research. The university is a key partner of the national Alan Turing Institute, hosting 33 Turing Fellows and Fellows of the European Laboratory of Learning and Intelligent Systems (ELLIS), in the new ELLIS Unit Manchester. The ambition is to establish a leading AI centre at the intersection of these ...

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 … BUSINESS : As a Lead Data Scientist at our client, 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 ...

forefront of AI innovation,trusted by Microsoft,AWS,andothersto deliver advanced AIand datasolutions atcitizenscale. Our 150-strong AI and DataPracticebringstogether deepexpertisein machine learning, generative AI, agenticAIand data. We are pioneers in responsible AI, having authored the UK governments AI Cyber Security Code of Practice implementation guideand we partner with … ROLE & RESPONSIBILITIES IN THE BUSINESS : As a LeadData Scientistat our client, you will architect,design,and deliver advanced AI solutionsleveragingstate-of-the-artmachine learning,generativeand agenticAI technologies. You will drive the adoption of modern AI frameworks,AIOps best practicesand scalable cloud-native architectures. Your role will involve hands ...

engineering consultancy delivering cutting-edge solutions across the Defence, Security and Government sectors . This is an excellent opportunity for A I Engineer, Machine Learning Engineer, Data Scientist or Algorithms Engineer to combine hands-on technical delivery with technical leadership, customer engagement and business development. Working alongside multidisciplinary teams … engineers and scientists, you'll lead the design and delivery of advanced AI, Machine Learning and Algorithmic solutions , helping solve complex challenges for Defence and Security customers. Responsibilities: Lead the technical delivery of AI, Machine Learning and Advanced Algorithm projects. Act as technical lead and solution architect ...

span across different disciplines and technologies to perform realtime multi-objective optimization with distributed systems at large scale and low latencies. We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems and Auction Dynamics to solve a large set of complex problems. At the core … this is our Machine Learning, Experimentation and Inference Platform that powers the entire landscape which we continuously evolve over time. About the roleIn this role you will work on applying SOTA research and conduct your own research to develop novel methodologies to solve a large variety of challenging problems ...

looking for a Senior Software Engineer with expertise in software optimization for gaming consoles and CPU/GPU architectures to join our Machine Learning team. You'll report to a Leader of Engine Development and collaborate with both game and central technology engineers and researchers to bring ML models … players by deploying them directly into EA's games. Responsibilities: Design, build, and maintain robust end-to-end solutions for running machine learning models efficiently on a variety of devices. Partner with ML experts across EA to help adopt and scale new models and architectures optimized for on-device ...

ground operations. Designing and implementing high‐performance optimisation algorithms and production‐grade solutions using Python, C++ and commercial optimisation solvers. Integrating optimisation, simulation and reinforcement learning techniques to solve complex multi‐stage decision problems. Partnering with senior stakeholders to translate business challenges into mathematical models with clear operational … teams. Significant relevant industry experience within operations research and optimisation, with evidence of technical leadership progression. Cloud‐based optimisation platforms and distributed computing. Machine learning and hybrid optimisation approaches. Simulation, reinforcement learning and advanced heuristic methods. Commercial airline operations, crew planning systems or aircraft scheduling. Aviation regulations ...

iconic games, including titles from EA SPORTS and Battlefield. We are looking for a Software Engineer with expertise in developing and integrating runtime machine learning solutions to join our team. You will report to a Leader of Engine Development and collaborate with game teams, central technology engineers, and researchers … bring ML models into the hands of our players by deploying them directly within EA games. Responsibilities: Evaluate, adapt, extend, and improve existing machine learning runtime technologies, while designing and implementing new solutions from the ground up when needed. Partner with ML experts across EA to assess, apply ...

University of Manchester is advertising postdoc and research fellow positions in machine learning within the Centre for AI Fundamentals, Manchester, UK. These lectureships form part of a strategic investment in fundamental AI research; candidates should have strong backgrounds in Bayesian inference, automatic experimental design, human-in-the-loop learning, machine teaching, privacy-preserving learning, reinforcement learning, and related areas. #J-18808-Ljbffr ...

design and build fair and explainable systems which automate recruitment processes across Amazon? Come and be part of a team that develops new machine learning (ML) technologies, which help Amazon scale for its customers by recruiting diverse teams. Join our Recommendations team within Intelligent Talent Acquisition (ITA) where … build machine learning products that transform how job seekers find opportunities and recruiters discover talent. You’ll develop sophisticated recommendation systems powering both Amazon Jobs and internal hiring platforms, operating at global scale to match the right people with the right positions. Using techniques including representation learning, reinforcement ...

future direction of the AutoLab AI platform. Essential knowledge, skills, and experience MSc, PhD, or equivalent industry experience in Computer Science, Artificial Intelligence, Machine Learning, Robotics, or a related discipline. Hands-on experience with frontier foundation models, including autoregressive foundation models such as Large Language Models (LLMs), Vision-Language … Vision-Language-Action (VLA) models, as well as embodied AI models and world models. Experience with continuous pre-training, post-training, supervised fine-tuning, reinforcement learning, and other foundation model optimisation techniques. Hands-on experience building end-to-end machine learning pipelines, including data curation, data mixing ...

will develop a multi-platform secure quantum networking. The position, supervised by Prof Cristian Bonato, is related to the application of machine learning and AI to improve the performance of nuclear spin quantum memories. Detailed Description We are seeking a highly motivated Postdoctoral Research Associate to join our team … tasks of this project are to undertake research in the following areas: Implement and demonstrate robust multi-parameter quantum sensing protocols based on reinforcement learning Upgrade the existing experimental setup with state-of-the-art quantum control hardware Intellectual property protection with a view to develop near ...

investigate how the spatial properties of coherent optical fields can be measured, predicted and controlled, combining experimental photonics with numerical modelling and modern machine-learning and optimisation techniques. The research will include coherent beam combination, programmable beam shaping, optical propagation modelling, experimental control of phase and amplitude … development of computational methods for optical inference and optimisation. Depending on the research direction, approaches may include deep learning, reinforcement learning, differentiable modelling and inverse design. You will implement and evaluate these methods using experimental optical systems and work towards their application in high-power fibre-laser ...

work visa this must allow you to work in the UK unrestricted for at least the next 5 years. Profile 29 recruitment keywords: Machine Learning, Reinforcement Learning, Autonomous Systems, Assurance, Hardware, Software, Systems Integration, Artificial Intelligence, Embedded Software, Embedded Systems, Space Autonomy, Assured Autonomy, High Integrity Software ...

work visa this must allow you to work in the UK unrestricted for at least the next 5 years. Profile 29 recruitment keywords: Machine Learning, Reinforcement Learning, Autonomous Systems, Assurance, Hardware, Software, Systems Integration, Artificial Intelligence, Embedded Software, Embedded Systems, Space Autonomy, Assured Autonomy, High Integrity Software ...

team of exceptional Data Scientists and ML Engineers building next-generation AI solutions for financial markets. Drive innovation using LLMs, Generative AI, Deep Learning, Transformers, Agentic AI, and advanced Machine Learning to deliver real-world business impact. If you're passionate about shaping the future … create measurable business value at scale. This role combines technical leadership, people leadership, and strategic execution. You will drive innovation in AI and Machine Learning, establish engineering excellence, and develop exceptional talent while delivering production-grade solutions that solve complex customer problems. The ideal candidate has a consistent track ...

empowers our employees to thrive, continuously learn, and contribute meaningfully to our mission of advancing system design and calibration with our data-efficient machine learning solutions. Founded in 2016 and supported by investors such as Mazda Motor Corporation, Amadeus Capital, Atlantic Bridge and Cambridge Innovation Capital, Secondmind was recently … machine learning. Secondmind Labs consists of researchers that explore innovative ideas that can improve the state of the art in Probabilistic modelling, active learning and related fields, and tackle real-world challenging problems. We work in highly collaborative research teams, developing algorithms that are theoretically rigorous, yet scalable ...