26 to 32 of 32 Reinforcement Learning Jobs in the UK excluding London

models using techniques like quantization and pruning. Leverage GPU power (CUDA, Python, Jax) for accelerated training. Qualifications: Expertise in Python/C++ and deep learning (PyTorch). Experience building Deep Reinforcement Learning Models. Experience with Robotics and/or Simulation. If you want to join a company More ❯

of grant proposals and funding applications to secure external research grants and sponsorships. Expertise Ph.D. or equivalent experience in computer science, artificial intelligence, machine learning, or related field, with a focus on manipulation, robotics, or AI/ML. Strong theoretical and practical knowledge in areas such as reinforcement learning, motion planning, and perception, with a specific emphasis on manipulation tasks. Proficiency in programming languages such as Python, C++, or MATLAB, as well as experience with relevant libraries and frameworks for AI/ML development. Experience in conducting independent research and publishing in top-tier conferences and More ❯

while manipulating, fall recovery, and other advanced mobility tasks. The ideal candidate will have strong expertise in classic locomotion pipeline, whole-body control and reinforcement learning. Our Mission: At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into … for biped robots, focusing on locomotion. Proficiency with model predictive control (MPC), optimal control, and feedback control loops in dynamic robotic systems. Expertise in reinforcement learning for robotics Deep understanding of humanoid robot dynamics and balance control. Strong experience with hardware-in-the-loop testing and deployment on … Sim or similar environments. Proficiency in Python and C++ for algorithm development, testing, and deployment. Knowledge of advanced topics like model-free RL, imitation learning, or hybrid control systems that combine classic and modern methods. Familiarity with real-time control systems and integration with hardware, including actuators and sensors. More ❯

biped robots, focusing on locomotion. Understanding of model predictive control (MPC), optimal control, and feedback control loops in dynamic robotic systems. Strong expertise in reinforcement learning for robotics Deep understanding of humanoid robot dynamics and balance control. Strong experience with hardware-in-the-loop testing and deployment on … Isaac Sim or similar environments. Proficiency in Python and C++ for algorithm development, testing, and deployment. Experience in topics like model-free RL, imitation learning, or hybrid control systems that combine classic and modern methods. Desirable Skills and Experience Familiarity with real-time control systems and integration with hardware More ❯

strong background in the mathematics, statistics and computational techniques which underpin AI/ML. The Data and Decision Support Capability has teams working in: reinforcement learning; NLP/LLMs; knowledge graphs and graph based neural networkss; AI for RF and EW, radar, sonar, acoustics, AI for image and … 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. More ❯

proposals to secure external sponsorships. What We’re Looking For: Ph.D. (or equivalent experience) in AI, ML, robotics, or related fields. Expertise in manipulation, reinforcement learning, motion planning, and perception. A track record of conducting research and publishing in top-tier AI/ML conferences and journals. Proficiency More ❯

frequency, low-latency trading. Work with a Humble Leader : You’ll work closely with a brilliant PM who has a strong technical background (from reinforcement learning strategies to low-latency C++ coding) and a pragmatic, collaborative approach. This is someone who’s not only mastered complex trading strategies More ❯