Remote Research Engineer Jobs in East London

2 of 2 Remote Research Engineer Jobs in East London

Lead Research Engineer (SLAM / State Estimation)

South East London, England, United Kingdom
Hybrid / WFH Options
European Tech Recruit
Lead Research Engineer (SLAM/State Estimation) European Tech Recruit are working closely with an exciting robotics software company, based in London, who are looking for a talented Lead Research Engineer (SLAM/State Estimation) to join their team. This role can offer a hybrid work arrangement with 2/3 days WFH per week and … close to London Bridge. In this role you will join a team focused on delivering advanced Spatial AI solutions to clients in robotics, intralogistics, & warehouse automation. Responsibilities as Lead Research Engineer (SLAM/State Estimation) : Design & develop state-of-the-art SLAM & perception algorithms for high-performance localisation, mapping, & scene understanding. Create high-quality Spatial AI systems that More ❯
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Research Engineer – VIO / SLAM / Computer Vision

South East London, England, United Kingdom
Hybrid / WFH Options
European Tech Recruit
We are looking for a Research Engineer (senior/lead/expert level) to join 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 Visual-inertial odometry (VIO) SLAM, bridging research with real-world deployment. They are offering hybrid … working from a commutable distance from London . As a 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 Research Engineer your skills will include: Essential Master's or PhD in computer vision, robotics, or a related field. 5+ years' experience Deep knowledge of SLAM, computer vision & VIO Strong background in optimization, sensor fusion & numerical linear algebra Experience deploying SLAM in industrial or embedded environments Proficient More ❯
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