151 to 175 of 191 Reinforcement Learning Jobs in London

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 ❯

ll design solutions that enable AI agents to break down user requests, gather relevant information through perception modules, and efficiently complete multistep tasks through cognitive modules that employ deep learning, reinforcement learning, and probabilistic reasoning. At AWS, you'll pioneer the next frontier in computing by creating AI agents that go beyond content generation to autonomously execute … our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance 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 ❯

have achieved multi-billion-dollar valuations or rapid growth. The role is primarily a 360 recruitment position, focusing on placing top-tier talent in Robotics, Computer Vision, GenAI, Machine Learning, Deep Learning, and Reinforcement Learning sectors. Key logistics: Ideally 2 days in their Canary Wharf office (flexible to 1 day based on the individual). Competitive More ❯

but their main challenge is the lack of staff to handle their volume of job openings. They seek top recruiters to place candidates in: Robotics Computer Vision GenAI Machine Learning Deep Learning Reinforcement Learning Logistics include: Ideally 2 days in Canary Wharf office (possibly 1 depending on the individual) Strong base salary (DOE) No threshold or More ❯

of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: You want to build and run elegant and thorough machine learning experiments to help us understand and steer the behavior of powerful AI systems. You care about making AI helpful, honest, and harmless, and are interested in the ways that … Testing the robustness of our safety techniques by training language models to subvert our safety techniques, and seeing how effective they are at subverting our interventions. Run multi-agent reinforcement learning experiments to test out techniques like AI Debate. Build tooling to efficiently evaluate the effectiveness of novel LLM-generated jailbreaks. Write scripts and prompts to efficiently produce … efforts Pick up slack, even if it goes outside your job description Care about the impacts of AI Strong candidates may also: Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs Have experience with reinforcement learning Have experience with Kubernetes clusters and complex shared codebases Candidates need not have More ❯

new architectures for how information is organized, and train language models to optimally use those architectures. Responsibilities: Designing and implementing from scratch new information architecture strategies Performing finetuning and reinforcement learning to teach language models how to interact with new information architectures Building “hard” knowledge base eval sets to help identify failure modes of how language models work … may be a good fit if you: Are a very experienced Python programmer who can quickly produce reliable, high quality code that your teammates love using Have good machine learning research experience Have experience developing software that utilizes Large Language Models such as Claude Are results-oriented, with a bias towards flexibility and impact Pick up slack, even if 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 ❯

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 ❯

pipelines Knowledge of AI chatbot frameworks (Rasa, BotPress, Dialogflow) or custom LLM-based UIs Awareness of AI governance , model auditing, and data privacy regulation (GDPR, DPA, etc.) Familiarity with reinforcement learning, retrieval-augmented generation (RAG), or dynamic reasoning workflows Offer Details 💼 Role Type: Contract (outside IR35) or Permanent 💸 Compensation: Market rates or six-figure salary 📍 Location: London EC4 More ❯

pipelines Knowledge of AI chatbot frameworks (Rasa, BotPress, Dialogflow) or custom LLM-based UIs Awareness of AI governance , model auditing, and data privacy regulation (GDPR, DPA, etc.) Familiarity with reinforcement learning, retrieval-augmented generation (RAG), or dynamic reasoning workflows Offer Details 💼 Role Type: Contract (outside IR35) or Permanent 💸 Compensation: Market rates or six-figure salary 📍 Location: London EC4 More ❯

involved in producing the research outputs. Person Specification You may be a good fit if you have some of the following skills, experience and attitudes: Experience working on machine learning, AI, or AI security in industry, in academia, or independently. Strong research taste and experience, including ideating new research or technical governance products, executing independently and effectively on completing … Cybersecurity Researcher (Reverse Engineering) London, England, United Kingdom 1 day ago London, England, United Kingdom 1 month ago London, England, United Kingdom 6 days ago Research Engineer Intern - Applied Reinforcement Learning (DeepPCB) London, England, United Kingdom 4 months ago Research Engineer/Research Scientist, Multimodal Greater London, England, United Kingdom 2 weeks ago Greater London, England, United Kingdom 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 ❯

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 ❯

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 ❯

pipelines Knowledge of AI chatbot frameworks (Rasa, BotPress, Dialogflow) or custom LLM-based UIs Awareness of AI governance , model auditing, and data privacy regulation (GDPR, DPA, etc.) Familiarity with reinforcement learning, retrieval-augmented generation (RAG), or dynamic reasoning workflows Compensation: Market rates or six-figure salary Location: London EC4| Hybrid (some remote) Eligibility: Must have UK working rights More ❯

Machine Learning Researcher/Deep Learning/World Leader Machine Learning Researcher required in London or Cambridge area to join a world leading organisation with a highly reputable Machine Learning/Deep Learning team. You will have come from an exceptional academic background and be well published in Machine Learning and Deep Learning research looking to work on the forefront of what is possible in AI/Machine Learning Research. Any exposure in Reinforcement Learning , LLM's are all beneficial as well as any exposure to electronics and semiconductors market. What's most important is someone with a real mind and determination for achieving something that's never been … done before. Machine Learning Researcher/Deep Learning/World Leader More ❯

clarity, and focus. It uses HTML tags appropriately but could benefit from clearer organization and removal of redundant or irrelevant information. Here's a refined version: Job Title: Machine Learning Researcher/Deep Learning/World Leader Location: London or Cambridge, United Kingdom Job Category: Internet EU Work Permit Required: Yes Job Reference: GG-13 Job Views … Posted: 25.05.2025 Expiry Date: 09.07.2025 Job Description: We are seeking a highly qualified Machine Learning Researcher to join a world-leading organization with a top-tier Machine Learning and Deep Learning team. The ideal candidate will have an exceptional academic background, with extensive publications in Machine Learning and Deep Learning research, and a passion for … pushing the boundaries of AI and machine learning. Experience in Reinforcement Learning, Large Language Models (LLMs), electronics, or semiconductors is beneficial. Most importantly, we seek someone with a creative and determined mindset to achieve unprecedented breakthroughs in AI research. #J-18808-Ljbffr More ❯

Machine Learning Engineer – Robotic Manipulation | Cutting-Edge Space Tech | Equity Opportunity 🌌 Location: Hybrid (UK-based) Salary: Competitive + Equity Join a stealth-mode innovator at the forefront of autonomous robotics, building next-gen systems that operate in the most extreme environments—space. This is your chance to shape the future of orbital infrastructure and space domain defence. We're … on the hunt for a Machine Learning Engineer with a passion for robotic manipulation. You’ll be the mastermind behind intelligent grasping systems—designing, training, and deploying ML models that enable robots to interact with unknown objects in unpredictable environments. This isn’t just another ML role. It’s a chance to take your work from simulation to spaceflight. … across robotics, vision, hardware, and software teams to bring your models to life. Own performance benchmarking and real-world validation. 🧠 What You Bring 5+ years in ML, Robotics, or Reinforcement Learning (or equivalent hands-on experience). Deep understanding of robot manipulation—both classical and ML-based approaches. Proficiency in Python & C++, and experience with ML frameworks like More ❯

Machine Learning Engineer – Robotic Manipulation | Cutting-Edge Space Tech | Equity Opportunity 🌌 Location: Hybrid (UK-based) Salary: Competitive + Equity Join a stealth-mode innovator at the forefront of autonomous robotics, building next-gen systems that operate in the most extreme environments—space. This is your chance to shape the future of orbital infrastructure and space domain defence. We're … on the hunt for a Machine Learning Engineer with a passion for robotic manipulation. You’ll be the mastermind behind intelligent grasping systems—designing, training, and deploying ML models that enable robots to interact with unknown objects in unpredictable environments. This isn’t just another ML role. It’s a chance to take your work from simulation to spaceflight. … across robotics, vision, hardware, and software teams to bring your models to life. Own performance benchmarking and real-world validation. 🧠 What You Bring 5+ years in ML, Robotics, or Reinforcement Learning (or equivalent hands-on experience). Deep understanding of robot manipulation—both classical and ML-based approaches. Proficiency in Python & C++, and experience with ML frameworks like More ❯

Social network you want to login/join with: Robotics & Machine Learning Engineer, london col-narrow-left Client: Opus Recruitment Solutions Location: london, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 4 Posted: 26.06.2025 Expiry Date: 10.08.2025 col-wide Job Description: ? Machine Learning Engineer – Robotic Manipulation | Cutting-Edge Space Tech | Equity … in the most extreme environments—space. This is your chance to shape the future of orbital infrastructure and space domain defence. We're on the hunt for a Machine Learning Engineer with a passion for robotic manipulation. You’ll be the mastermind behind intelligent grasping systems—designing, training, and deploying ML models that enable robots to interact with unknown … across robotics, vision, hardware, and software teams to bring your models to life. Own performance benchmarking and real-world validation. ? What You Bring 5+ years in ML, Robotics, or Reinforcement Learning (or equivalent hands-on experience). Deep understanding of robot manipulation—both classical and ML-based approaches. Proficiency in Python & C++, and experience with ML frameworks like More ❯

Social network you want to login/join with: Robotics & Machine Learning Engineer, london (city of london) col-narrow-left Client: Opus Recruitment Solutions Location: london (city of london), United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 4 Posted: 26.06.2025 Expiry Date: 10.08.2025 col-wide Job Description: ? Machine Learning Engineer – Robotic … in the most extreme environments—space. This is your chance to shape the future of orbital infrastructure and space domain defence. We're on the hunt for a Machine Learning Engineer with a passion for robotic manipulation. You’ll be the mastermind behind intelligent grasping systems—designing, training, and deploying ML models that enable robots to interact with unknown … across robotics, vision, hardware, and software teams to bring your models to life. Own performance benchmarking and real-world validation. ? What You Bring 5+ years in ML, Robotics, or Reinforcement Learning (or equivalent hands-on experience). Deep understanding of robot manipulation—both classical and ML-based approaches. Proficiency in Python & C++, and experience with ML frameworks like More ❯

paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment … investing in new ideas that have the potential to become game-changing technological advances for the company. What This Team Is Solving Our focus is on algorithmic advances in reinforcement learning, efficient model architectures, and multimodal representation learning — all aimed at expanding the capabilities of Wayve's AI Driver. We're not just optimising for performance — we … that are more efficient, more robust to rare events and real-world complexity, and more interpretable. By advancing core features like temporal abstraction, latent action modeling, and data-adaptive learning, our goal is to deliver an AI driver that learns faster, adapts better, and earns trust through transparency. Where you’ll have impact As an Applied Scientist Manager in More ❯

and providing stability during change. About Us Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with … Drive some model launches on an ad-hoc basis and improve the process based on what you learn driving the process Demonstrate a curious mindset and a commitment to learning and understanding your team’s technical field, and your broader understanding of AGI, in order to inform how you enable people, teams and optimise research About you In order … to prioritise your work aggressively, focusing on specific problems at a time and go deep while maintaining good relationship with other stakeholders You are passionate about AGI & proactive about learning and acquiring knowledge to enhance your domain knowledge You thrive in collaborative environments, bridging the gap between engineers and stakeholders, ensuring everyone is working towards a shared vision. Knowledge More ❯