176 to 188 of 188 Reinforcement Learning Jobs in the UK excluding London

Digital Intelligence is seeking to recruit a Lead Technologist to join our rapidly expanding Data and Decision Support Capability. The Data and Decision Support Capability has teams working in: reinforcement learning; NLP/LLMs; knowledge graphs and graph based neural networks; AI for RF and EW, radar, sonar, acoustics, AI for image and video recognition tasks. The latter … experience is essential. Of particular interest are candidates with experience in one or more of the following domains: AI/ML for imagery including applied to remote sensing applications. Reinforcement learning. Natural Language Processing. Large Language Models. Knowledge graphs and graph-based neural nets. AI/ML for RF and EW, radar, sonar, acoustics. Autonomy Desirable Knowledge, Skills and More ❯

businesses. Alongside this, our teams work across a range of industries building solutions at the cutting edge of GenAI, Agentic AI, Computer Vision, IoT, ML, AI, and Deep and Reinforcement Learning. Join our team and you can help our clients realize the potential of their data. You’re a collaborator who loves solving problems with technology and using your 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 ❯

like GPT-4. You understand how context, tone, and structured inputs influence AI behaviour-and how to design prompts that drive useful, safe, and brand-aligned outputs. AI & Machine Learning Fundamentals: Familiarity with supervised and unsupervised learning, reinforcement learning, and core machine learning concepts. You understand how conversational AI and ML systems work under the More ❯

. Leadership - you’ve run small technical teams, worked directly with product, clients, and stakeholders. A solid background in AI (Engineering rather than Research) Possess a deep understanding of reinforcement learning, distributed training and Agentic AI Not for you if: You’re more strategist than builder. Your AI experience is just post-ChatGPT. You’re mainly delivering analytics More ❯

. Leadership - you’ve run small technical teams, worked directly with product, clients, and stakeholders. A solid background in AI (Engineering rather than Research) Possess a deep understanding of reinforcement learning, distributed training and Agentic AI Not for you if: You’re more strategist than builder. Your AI experience is just post-ChatGPT. You’re mainly delivering analytics More ❯

. Leadership - you’ve run small technical teams, worked directly with product, clients, and stakeholders. A solid background in AI (Engineering rather than Research) Possess a deep understanding of reinforcement learning, distributed training and Agentic AI Not for you if: You’re more strategist than builder. Your AI experience is just post-ChatGPT. You’re mainly delivering analytics More ❯

. Leadership - you’ve run small technical teams, worked directly with product, clients, and stakeholders. A solid background in AI (Engineering rather than Research) Possess a deep understanding of reinforcement learning, distributed training and Agentic AI Not for you if: You’re more strategist than builder. Your AI experience is just post-ChatGPT. You’re mainly delivering analytics More ❯

. Leadership - you’ve run small technical teams, worked directly with product, clients, and stakeholders. A solid background in AI (Engineering rather than Research) Possess a deep understanding of reinforcement learning, distributed training and Agentic AI Not for you if: You’re more strategist than builder. Your AI experience is just post-ChatGPT. You’re mainly delivering analytics More ❯

. Leadership - you’ve run small technical teams, worked directly with product, clients, and stakeholders. A solid background in AI (Engineering rather than Research) Possess a deep understanding of reinforcement learning, distributed training and Agentic AI Not for you if: You’re more strategist than builder. Your AI experience is just post-ChatGPT. You’re mainly delivering analytics More ❯

. Leadership - you’ve run small technical teams, worked directly with product, clients, and stakeholders. A solid background in AI (Engineering rather than Research) Possess a deep understanding of reinforcement learning, distributed training and Agentic AI Not for you if: You’re more strategist than builder. Your AI experience is just post-ChatGPT. You’re mainly delivering analytics More ❯

. Leadership - you’ve run small technical teams, worked directly with product, clients, and stakeholders. A solid background in AI (Engineering rather than Research) Possess a deep understanding of reinforcement learning, distributed training and Agentic AI Not for you if: You’re more strategist than builder. Your AI experience is just post-ChatGPT. You’re mainly delivering analytics More ❯

strong DNA, are known for their rigorous, research-driven approach and exceptional pedigree — all members hold degrees from top-tier universities. They are now looking to add a talented Reinforcement Learning (RL) expert to the London team. This is a Greenfield opportunity — RL has not yet been implemented, so the incoming individual will help shape this effort from More ❯