frameworks like TensorFlow, PyTorch, or similar tools. Strong background in embedded systems and experience integrating computer vision algorithms into hardware platforms. In-depth knowledge of various sensors, including cameras, LIDAR, and RADAR, and their application in autonomous systems. A collaborative team player with a proven ability to mentor junior engineers and tackle challenging technical problems. Must be commutable or willing More ❯
C++ and Python on Linux including documentation and test coverage. Additional experience with embedded Linux systems (x86) would be desirable. Experience with UxV domains (MAVLink, autopilot systems), sensor integration (LiDAR, radar), ROS/ROS2 for robotic control, airspace test operations would be advantageous. Due to the nature of projects, interested applicants must be UK based and eligible for SC. Preference More ❯
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 ❯
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 ❯
UML, SysML), embedded software systems, and simulation of complex dynamic systems. Autonomous Systems & Robotics: Experience with UAVs, UXVs, PNT systems, flight controllers, and robotics sensors (IMU, GPS/GNSS, LIDAR, RADAR, Cameras). Industry & Work Environment: Background in defence/aerospace, start-ups, or small teams requiring adaptability and problem-solving. What's Next? Excited to join us? Apply now More ❯
