4 of 4 Permanent Reinforcement Learning Jobs in Stoke-on-Trent

Deep Learning Researcher Cambridge/London Salary - Competitive About Us: MicroTECH-Global are working with a global leader in advanced computing, with a dedicated research team focused on applying artificial intelligence to next-generation semiconductor design and optimization. Role Overview: We're seeking a motivated Deep Learning Researcher … with a strong background in machine learning, AI, or related fields. You’ll contribute to innovative projects in areas such as large language models (LLMs), reinforcement learning, and optimization for chip design and AI system integration. Responsibilities: • Conduct and publish cutting-edge AI/ML research • Design … PhD or equivalent experience in ML, AI, CS, physics, or mathematics • Strong publication record (NeurIPS, ICML, ICLR, etc.) • Proficient in Python, C++, and deep learning frameworks (e.g., PyTorch, TensorFlow) • Solid grasp of ML techniques; independent and team-oriented mindset Preferred: • Experience in LLMs, reinforcement learning, or chip More ❯

Research Machine Learning Engineer - World Leading Team - Cambridge/London A world-leading tech company is looking for an exceptional Research Machine Learning Engineer to join its elite AI research division. This is a unique opportunity to work on some of the most complex and exciting problems in … machine learning - driving cutting-edge innovation with real-world impact. What they’re looking for: Candidates should ideally hold a PhD in a relevant field, with a strong record of publications in top-tier conferences or journals. Deep expertise in machine learning algorithm development is essential, and they … re especially interested in those who thrive in pushing the boundaries of what’s possible. Nice to have experience in: Reinforcement learning Large Language Models (LLMs) Optimisation methods Deep learning frameworks (e.g., TensorFlow, PyTorch) Applied AI research at scale What’s on offer: Hybrid remote work with More ❯

during manipulation, fall recovery, and other advanced mobility tasks. The ideal candidate will have deep expertise in classic locomotion pipelines, whole-body control, and reinforcement learning. Key Responsibilities Design and implement control algorithms (classic or RL-based) for locomotion tasks such as walking, balancing while manipulating, squatting, stair climbing … control systems for biped robots with a focus on locomotion. Proficiency in model predictive control (MPC), optimal control, and feedback control loops. Expertise in reinforcement learning applications for robotics. Strong knowledge of humanoid robot dynamics and balance control. Experience with hardware-in-the-loop testing and physical deployment. … Mujoco, Isaac Sim, or similar. Proficiency in Python and C++ for algorithm development and deployment. Understanding of advanced RL topics (model-free RL, imitation learning, hybrid control). Familiarity with real-time control systems, actuators, and sensors. Experience in sensor fusion for robust balance and locomotion control (IMUs, encoders More ❯

and stakeholders. Action bias - you ship, you solve, you build. 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. More ❯