4 of 4 Reinforcement Learning Jobs in Surbiton

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 Machine 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 algorithms for chip optimization and intelligent systems Collaborate with engineering teams to integrate AI into real-world tools Stay current on AI trends and contribute to open research Requirements: PhD or equivalent experience in ML, AI, CS … physics, or mathematics Proficient in Python, C++, and deep learning frameworks (e.g., PyTorch, TensorFlow) Solid grasp of ML techniques; independent and team-oriented mindse Preferred: Experience in LLMs, reinforcement learning, or chip design Familiarity with JAX and optimization frameworks Why Join Us: Work on impactful AI research with real-world applications Collaborate with top researchers in a More ❯

Social network you want to login/join with: Before applying for this role, please read the following information about this opportunity found below. Machine Learning Engineer – Computer Vision Focus, london col-narrow-left Client:Location: london, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 3 Posted: 26.06.2025 Expiry Date: 10.08.2025 col … wide Job Description: Job Title: Machine Learning Engineer – Computer Vision Focus Overview: We’re looking for a skilled Machine Learning Engineer to join a growing technology company building cutting-edge solutions for real-world automation. You’ll be part of a small, collaborative team applying computer vision to improve performance, efficiency, and user experience across multiple sectors. This … role offers the chance to work on high-impact machine learning problems, shape production-ready models, and contribute to the development of a platform that’s democratising access to AI-driven automation. Key Responsibilities: Model Development: Design, train, and deploy machine learning models for computer vision use cases such as object detection, classification, and segmentation. Data Handling: Collaborate 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 ❯

Social network you want to login/join with: Experience, qualification, and soft skills, have you got everything required to succeed in this opportunity Find out below. 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 Opportunity ? Location: Hybrid (UK-based) 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 More ❯