51 to 75 of 91 Reinforcement Learning Jobs in England

Senior Research Scientist AI/ML £85000 GBP Onsite WORKING Location: England , Chelmsford, East of England - United Kingdom Type: Permanent Lead Technologist - Artificial Intelligence & Machine Learning Location: Chelmsford (2 days a week) Salary : Up to £85,000 + 10% We're looking for a Lead Technologist with deep expertise in AI/ML to drive technical excellence across projects … in defence, security, and advanced data analytics. You'll guide teams working on cutting-edge areas including reinforcement learning, LLMs, NLP, knowledge graphs, remote sensing, RF signal processing, and autonomy. Key Responsibilities: Lead complex AI/ML R&D projects and provide engineering assurance Mentor and support junior researchers and developers Shape and direct novel research in collaboration More ❯

you'll help us extend the 3 existing product lines we have, that millions of patients use, and build out new ones at the very cutting edge of healthcare reinforcement learning and agentic AI. Your work will save countless lives. Build With Us Today, there's a lot of hype around 'verticalized AI' but when our journey started … in 2021, people outside of the ML community barely knew or cared about active reinforcement learning. ChatGPT didn't exist. I remember getting frustrated and thinking 'don't you get how big of a deal this is?!' Since Day 1 (as written in our YC application), we've been building towards the holy grail of personalised medicine and deep … phenotyping, powered by our proprietary active learning architecture. As I said earlier, I actually submitted a 2021 patent that was prescient for the sparse MoE and active learning loop that is commonplace today with LLMs. We've been building and building towards this secret plan this whole time, and now have one of the biggest, highest quality labelled More ❯

Senior Data Scientist Senior Data Scientist £2.5 million seed funded Startup utilising Machine Learning Data Scientist opportunity with a seed funded startup (£2.5 million), utilising machine learning technology to create up to 15% profit margin gains for clients in the entertainment industry. You will join a small team of 2 in Data and a wider company of … pricing algorithms which would enable companies in the entertainment industry to significantly increase profit margins. You'll use a raft of different techniques from timeseries analysis to bayesian statistics, reinforcement learning & Monte Carlo Simulations. Your Experience : You'll likely come from a strong quantitative degree background in Science or Maths and have worked 2-4 years as a More ❯

experienced Senior Research Scientist to head its Knowledge and Semantics group, which operates within a wider capability focused on Data and Decision Support. This capability includes teams specialising in reinforcement learning, natural language processing (NLP), knowledge graphs, large language models (LLMs), computer vision, and AI applications for RF, electronic warfare, sonar, and acoustics. About the Role The Team … in NLP, LLM applications, text mining, knowledge graphs, and graph-based machine learning. The ideal candidate will be a skilled technical leader with a clear vision for applying machine learning to real-world challenges, particularly within the defence, security, and commercial domains. This is a highly collaborative role, offering the opportunity to work in multi-disciplinary teams and contribute … provides scope to engage with academic institutions, SMEs, and technical partners, while shaping future research directions. Key Responsibilities: Lead and deliver research projects in NLP, knowledge representation, and machine learning, often in collaboration with leading UK universities. Direct technical teams, ensuring timely delivery of high-quality technical outputs including reports, demonstrators, and proposals. Develop and prototype innovative AI/ More ❯

will work collaboratively across the organization with multiple teams to improve the efficiency of company processes and provide insights and assistance to users. Responsibilities Design, implement, and deploy machine learning models and systems to solve complex problems and drive business outcomes; Research, develop, and implement machine learning algorithms and models for tasks such as classification, regression, clustering, anomaly … recommendation systems; Research, develop, and implement AI tools such as NLP, LLM, and IA; Collect, preprocess, and curate large datasets required for training generative models; Experiment with different machine learning techniques and algorithms, including supervised, unsupervised, semi-supervised, reinforcement, and deep learning; Design and optimize machine learning pipelines and workflows, incorporating techniques for data cleaning, feature … engineering, model selection, and hyperparameter tuning; and Develop scalable and efficient machine learning infrastructure and systems for training, testing, and deploying models in production environments. Qualifications Bachelor's degree or higher in Artificial Intelligence, Computer or Data Science, or related field. Master's degree preferred; Proven experience implementing and fine-tuning Large Language Models or interactive AI applications More ❯

you'll help us extend the 3 existing product lines we have, that millions of patients use, and build out new ones at the very cutting edge of healthcare reinforcement learning and agentic AI. Your work will save countless lives. Do you want to use your medical knowledge to build something awesome? Ever feel like you're a … Today, there's a lot of hype around 'verticalized AI' but when our journey started in 2021, people outside of the ML community barely knew or cared about active reinforcement learning. ChatGPT didn't exist. I remember getting frustrated and thinking 'don't you get how big of a deal this is?!' Since Day 1 (as written in our … YC application), we've been building towards the holy grail of personalised medicine and deep phenotyping, powered by our proprietary active learning architecture. As I said earlier, I actually submitted a 2021 patent that was prescient for the sparse MoE and active learning loop that is commonplace today with LLMs. We've been building and building towards this More ❯

tackling some of the most complex data science problems across defence, security, and commercial sectors. You'll be part of a collaborative, cross-disciplinary environment, working alongside experts in reinforcement learning, NLP, knowledge graphs, and AI for RF and EW. As an AI Knowledge & Semantics Researcher, you'll have the freedom to innovate, lead projects, and develop cutting … edge solutions applying large language models (LLMs), graph machine learning, and semantic reasoning to real-world challenges. This is a perfect fit for someone with a passion for applied AI, who thrives in an environment that blends technical depth with real-world impact. Role Requirements: Lead research and development in NLP, knowledge graphs, and LLM-based applications. Guide a More ❯

Postdoctoral Research Assistant in Machine Learning Grade 7: £38,674 - £46,913 per annum (Inclusive of Oxford University weighting) Description We are seeking a full-time postdoctoral researcher to join Torr Vision Group at the Department of Engineering Science (central Oxford). The post is funded by EPSRC and is fixed-term for one year with the possibility of … renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly in continual learning settings. The core focus is on leveraging Reinforcement Learning (RL) to make the training and deployment of LLMs more computationally and sample efficient. This approach aims to improve the accessibility … LLM efficiency and sustainability. You will hold a relevant PhD/DPhil or be near completion together with relevant experience. You will have a strong technical background in machine learning, especially RL and LLMs. An ability to work independently and as part of a collaborative research team is essential. Informal enquiries may be addressed to Dr. Yangchen Pan: For More ❯

highly motivated Research Scientist to lead work in knowledge and semantics. This role offers the opportunity to lead a specialist R&D team working at the intersection of machine learning, NLP, and graph technologies, contributing to real-world challenges across defence, security, and commercial sectors. Key Responsibilities: Lead a team of researchers and engineers across projects involving NLP, knowledge … graphs, and LLM applications Design and deliver research programmes, collaborating with universities and innovation partners Develop prototypes, proof of concepts, and technical solutions in graph machine learning and semantic technologies Secure funding through successful proposal writing and manage stakeholder engagement Contribute to multi-disciplinary teams including work in reinforcement learning, computer vision, RF & EW, and sonar Essential 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 ❯

high-performance systems using C , C++ , C# , or Fortran . Contribute to early-stage exploration of technologies such as AI/ML , digital twins , control systems , agent-based modelling , reinforcement learning , and probabilistic programming . Collaborate with scientists, engineers, and developers to identify, evolve, and scale innovative ideas. Integrate software quality best practices early in the research pipeline … collaboration. Self-motivated, organised, and comfortable working in a fast-paced, exploratory environment. Desirable Experience Background inscientific computing,numerical methods, orcomputational modelling. Familiarity with emerging technologies such as machine learning , digital twins , agentic systems , probabilistic computing , or control systems . Experience in anR&D,innovation, orapplied researchsetting. Compensation & Benefits This role offers ahighly competitive salary,performance-related bonuses, and More ❯

experimental, and it is understood that not all projects succeed, even failed projects contain valuable insights. You will be building upon cutting-edge ML techniques such as transformers and reinforcement learning to create novel multi-modal solutions. Examples include sensor fusion systems, physics-informed neural networks for simulations, and multi-purpose autonomous robots. Projects will be defence focused … surrounding area. Initially this is an 18-month contract with the expectation of extending this as more funding is released. Keywords: AI, ML, RF, EM, GNN, Transformer, Autoencoder, Reinforced Learning, Multi-Modal AI, Sensor Fusion, Python, PyTorch, Radio Frequency, RF Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do More ❯

robotics fundamentals and relevant algorithms for locomotion, decision-making and control. Prior experience with multi-agent systems/distributed coordination of autonomous agents. Additionally a relevant PhD, knowledge of reinforcement learning or distributed (decentralised) control algorithms, optimisation for multiple objectives, or other distributed AI is relevant. As is exposure to relevant simulation tools (Gazebo, AirSim). Applicants must More ❯

Data Science and Machine Learning Research Scientist Location: Chelmsford | Hybrid (2 days onsite) | Salary ~£70,000 + 10% bonus | SC Clearable A specialist technology consultancy is seeking a Data Science and Machine Learning Research Scientist to develop novel AI/ML solutions for complex, real-world challenges in national security and defence. Working within a mission-led, multidisciplinary … youll help shape next-generation tools across areas such as multi-modal fusion, geospatial intelligence, and intelligent decision support. About the Opportunity Youll join a 35+ person AI & Machine Learning capability, collaborating across disciplines including computer vision, NLP, knowledge representation, and reinforcement learning. This hands-on role focuses on applied research and technical deliveryspanning early-stage concept exploration … to proof-of-concept demonstrators for government R&D sponsors. The team operates at the intersection of data science, autonomy, cyber, and complex systemsblending statistical, symbolic, and machine learning approaches to address high-impact use cases. Key Responsibilities Conduct applied research in data science and machine learning, with a focus on real-world decision-making applications Design, implement More ❯

experimental, and it is understood that not all projects succeed, even failed projects contain valuable insights. You will be building upon cutting-edge ML techniques such as transformers and reinforcement learning to create novel multi-modal solutions. Examples include sensor fusion systems, physics-informed neural networks for simulations, and multi-purpose autonomous robots. Projects will be defence focused More ❯

who can provide technical leadership across a portfolio of advanced R&D programmes. You will guide both internal delivery and external engagement in domains including NLP, LLMs, computer vision, reinforcement learning, and AI for sensor applications. The role blends hands-on innovation with assurance, mentoring, and proposal direction. Key Requirements: PhD in a relevant field with 10+ years More ❯

who can provide technical leadership across a portfolio of advanced R&D programmes. You will guide both internal delivery and external engagement in domains including NLP, LLMs, computer vision, reinforcement learning, and AI for sensor applications. The role blends hands-on innovation with assurance, mentoring, and proposal direction. Key Requirements: PhD in a relevant field with 10+ years More ❯

who can provide technical leadership across a portfolio of advanced R&D programmes. You will guide both internal delivery and external engagement in domains including NLP, LLMs, computer vision, reinforcement learning, and AI for sensor applications. The role blends hands-on innovation with assurance, mentoring, and proposal direction. Key Requirements: PhD in a relevant field with 10+ years More ❯

based systems , Microservices , and AI integrations . Oversee LLM (Large Language Model) integration , leveraging models like GPT, and implement advanced AI architectures such as Retrieval-Augmented Generation (RAG) and Reinforcement Learning with Human Feedback (RLHF) . Lead the development of applications using React, .NET , Python , or Node.js , ensuring scalable, maintainable, and performant solutions. Team Management: Manage and mentor More ❯

particularly with cloud-based systems , Microservices , and AI integrations . Oversee LLM (Large Model) integration , leveraging models like GPT, and implement advanced AIarchitectures such as Retrieval-Augmented (RAG) and Reinforcement Learning with HumanFeedback (RLHF) . Lead the development of applications using React, .NET , Python , or Node.js , ensuring scalable, maintainable, andperformant solutions. Team Management: Manage and mentor engineering managers More ❯

cloud-based systems, microservices, and AI integrations. Oversee LLM (Large Language Model) integration, leveraging models like GPT, and implement advanced AI architectures such as Retrieval-Augmented Generation (RAG) and Reinforcement Learning with Human Feedback (RLHF). Lead the development of applications using React, .NET, Python, or Node.js, ensuring scalable, maintainable, and performant solutions. Team Management: Manage and mentor More ❯

with cloud-based systems,Microservices, and AI integrations. Oversee LLM (Large Language Model) integration, leveraging models like GPT, and implement advanced AIarchitectures such as Retrieval-Augmented Generation (RAG) and Reinforcement Learning with HumanFeedback (RLHF). Lead the development of applications using React, .NET, Python, or Node.js, ensuring scalable, maintainable, andperformant solutions. Team Management: Manage and mentor engineering managers More ❯

improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging the latest More ❯

improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging the latest More ❯

by a top-tier VC, building products that will redefine the retail experience. Currently in stealth mode, we’re blending cutting-edge advances in behavioural science, Generative AI, and reinforcement learning to create systems that anticipate and serve customer needs in radically new ways. We're seeking a visionary Head of Product to lead our next phase of More ❯