4 of 4 Remote Robotics Engineer Jobs in London

Robotics Technical Support Engineer, Amazon Robotics Technical Support (ARTS) Job ID: 2914901 | Amazon Development Centre (London) Limited - C26 Are you an engineer looking for more challenging and impactful work? Do you thrive on solving complex technical problems while keeping customer success at the forefront? If so, Amazon has the perfect opportunity for you! Amazon Robotics … for talented engineers to join us. Our team brings together deep technical expertise, a passion for problem-solving, and a commitment to operational excellence—keeping over one million Amazon Robotics systems running 24/7. New to robotics? No problem! We value your strong technical expertise in other domains and provide the training you need to succeed. Join … us at Amazon Robotics and see how your work can drive innovation and make a real impact! Key job responsibilities Service Restoration: Investigate and resolve technical issues through our in-house ticketing system. Leverage data sources and logs to diagnose hardware or software faults within the Amazon Robotics environment, including robotics performance issues, server disruptions affecting robot More ❯

Job Description We are looking for a Lead Research Engineer to join an established team at a rapidly growing company at the forefront of Spatial AI, delivering advanced perception solutions in robotics, logistics, & automation. This position offers the chance to lead innovation in SLAM & state estimation, bridging research with real-world deployment. They are offering hybrid working from … a commutable distance from London . As a Lead Research Engineer your responsibilities will include: Design & implement cutting-edge SLAM & perception algorithms for real-time localization, mapping, & scene understanding. Build robust Spatial AI systems optimized for real-world applications. Collaborate with product & engineering teams to transform R&D breakthroughs into practical robotics & automation solutions. Contribute to advancing applied … Spatial AI within a team of domain experts. As a Lead Research Engineer your skills will include: Essential PhD in computer vision, robotics, or a related field. Deep knowledge of SLAM, geometric computer vision or state estimation Strong background in optimization, sensor fusion & numerical linear algebra Experience deploying SLAM in industrial or embedded environments Proficient in modern C++ 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 … for real-time grasp prediction and evaluation. Build high-fidelity simulators to train and test your policies. Deploy models to edge compute platforms for real-time inference. Collaborate 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 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 … for real-time grasp prediction and evaluation. Build high-fidelity simulators to train and test your policies. Deploy models to edge compute platforms for real-time inference. Collaborate 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 More ❯