Python delivering scalable, high-quality production code. Deep familiarity with 3D AI and 3D computer vision frameworks/libraries. Hands-on experience with 3D data processing (point clouds/Lidar data). MSc/PhD in Computer Vision, Machine Learning, Computer Science, or related fields from leading universities in the UK, EU, or US. Personal traits we'd love to More ❯
robust scene understanding from multiple sensors. That's where you come in. As a Computer Vision Engineer (Multimodal Sensing) you'll implement and refine perception algorithms that fuse cameras, LiDAR, radar, event sensors, and beyond. Working shoulder to shoulder with a top tier team of CV scientists, you'll translate cutting edge research into flight ready code for space andMore ❯
to real-time robotics systems Eligible to obtain and maintain an active UK Security Clearance PREFERRED QUALIFICATIONS Experience processing sensor measurements from Radar, Electro-Optical Sensors, RF Sensors, or LIDAR Experience with sensor characterisation and modelling Familiarity with classical and contemporary approaches for state estimation and tracking (e.g. Kalman Filter, UKF, Particle Filter) Sensor calibration Background in linear algebra andMore ❯
environments for robotics, drones, automotive, or aerospace systems Comfort working in a multidisciplinary team , collaborating with control engineers, AI researchers, and aerospace experts Bonus: Familiarity with sensor simulation (e.g., LiDAR, cameras, radar) or synthetic data generation Bonus: Experience with ROS , Isaac Sim , AirSim , or Unity in robotics or autonomous systems contexts Perks & Benefits Competitive salary, based on your experience andMore ❯
environments for robotics, drones, automotive, or aerospace systems Comfort working in a multidisciplinary team , collaborating with control engineers, AI researchers, and aerospace experts Bonus: Familiarity with sensor simulation (e.g., LiDAR, cameras, radar) or synthetic data generation Bonus: Experience with ROS , Isaac Sim , AirSim , or Unity in robotics or autonomous systems contexts Perks & Benefits Competitive salary, based on your experience andMore ❯
environments for robotics, drones, automotive, or aerospace systems Comfort working in a multidisciplinary team , collaborating with control engineers, AI researchers, and aerospace experts Bonus: Familiarity with sensor simulation (e.g., LiDAR, cameras, radar) or synthetic data generation Bonus: Experience with ROS , Isaac Sim , AirSim , or Unity in robotics or autonomous systems contexts Perks & Benefits Competitive salary, based on your experience andMore ❯
sensors. That's where you come in. As a Computer Vision Scientist (Multimodal Sensing) you'll lead the research and design of Spatial AI perception algorithms that fuse cameras, LiDAR, radar, event sensors, and more. Your work will unlock reliable detection, mapping, and semantic reasoning in the harshest terrestrial and orbital environments, and will flow directly into flight critical autonomy … Robotics, or a related field (or equivalent industry research experience pushing the state of the art). Proven expertise in multimodal perception and sensor fusion (two or more: vision, LiDAR, radar, event cameras, IMU). Publication or product track record in multimodal sensing/neural representations/SLAM for robotics or autonomous navigation in journals and conferences (e.g. CVPR, ICLR More ❯
robust scene understanding from multiple sensors. That's where you come in. As a Computer Vision Engineer (Multimodal Sensing) you'll implement and refine perception algorithms that fuse cameras, LiDAR, radar, event sensors, and beyond. Working shoulder to shoulder with a top tier team of CV scientists, you'll translate cutting edge research into flight ready code for space andMore ❯
to work independently and as part of a team • Willingness to travel within the UK and Northern Europe region Skills: • Advanced degree in a relevant field • Experience with Floating LiDAR, metocean, or environmental data collection technologies • Knowledge of UK offshore wind regulations and leasing processes • Existing network of contacts in the UK offshore wind industry More ❯
to capture data essential for training and validating AI models that power autonomous navigation, object detection, and decision-making systems. Key Responsibilities: Pilot drones equipped with high-resolution cameras, LiDAR, thermal imaging, and other sensors to collect diverse datasets used for training AI algorithms, particularly for autonomous navigation, computer vision, and sensor fusion. Capture data in various real-world conditions … track record as a drone pilot, with significant experience in collecting data for industrial, research, or AI-focused applications. Expertise in flying drones equipped with advanced sensors such as LiDAR, thermal cameras, RGB cameras, and multispectral sensors. Familiarity with the nuances of autonomous flight, sensor integration, and machine learning workflows, especially those that involve real-time data processing. Strong understanding More ❯
to capture data essential for training and validating AI models that power autonomous navigation, object detection, and decision-making systems. Key Responsibilities: Pilot drones equipped with high-resolution cameras, LiDAR, thermal imaging, and other sensors to collect diverse datasets used for training AI algorithms, particularly for autonomous navigation, computer vision, and sensor fusion Capture data in various real-world conditions … track record as a drone pilot, with significant experience in collecting data for industrial, research, or AI-focused applications Expertise in flying drones equipped with advanced sensors such as LiDAR, thermal cameras, RGB cameras, and multispectral sensors Familiarity with the nuances of autonomous flight, sensor integration, and machine learning workflows, especially those that involve real-time data processing Strong understanding More ❯