26 to 36 of 36 Reinforcement Learning Jobs in the South East

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 ❯

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 ❯

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 ❯

an impact. Requirements A proven track record of managing cross-functional research projects, ideally involving collaboration with both internal and external partners. In-depth expertise in AI and machine learning approaches, with awareness of current developments and future trends. A relevant academic background e.g. typically a degree in Computer Science, Mathematics, AI, or a related field (postgraduate qualifications such … stakeholders, managing expectations, and driving projects through to delivery. Ideally, experience applying AI in a commercial or customer-focused environment. Hands-on knowledge in areas such as signal processing, reinforcement learning, neural network training, or multi-agent systems. Familiarity with research publishing processes and participation in academic or industry conferences. Responsibilities Leading research initiatives that explore the practical 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 ❯

. 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 ❯

directly with robots in both simulation and real hardware environments. You will be part of a focused team responsible for the application level software that connects control, navigation, perception, learning, and platform systems. Your work will ensure that these components operate as a coherent and reliable system that users can interact with seamlessly. This role involves close collaboration with … practical, cross disciplinary challenges. What You Will Do You will develop and maintain application level software for humanoid robots You will integrate software components from controls, navigation, computer vision, reinforcement learning, and platform teams You will contribute to the structure and evolution of the application architecture and its interfaces You will work closely with the product and engineering … closely related field You are highly proficient in C++ and have experience delivering production grade software You have a solid understanding of robotic subsystems including control, perception, navigation, and learning You are familiar with ROS or ROS2 or equivalent middleware platforms You are comfortable reading, understanding, and integrating code from a range of other engineering teams You have experience More ❯