6 of 6 Computer Vision Jobs in Oxford

reviews, data selection mechanisms, data management plans, and statistical analysis plans. Contribute to product design and subsequent market authorisation validation, including clinical and research design input Artificial Intelligence and Computer Vision (AICV) process. Contribute to statistical analysis of clinical and imaging data for diagnostic and prognostic research. Contribute to scientific communication to internal and external audiences, including company More ❯

Software Engineer required to join a cloud services development team working on an industrial workflow and process management system that takes real world IoT device data including location tracking, computer vision and time series data, to enable clients to monitor and proactively manage plant process, logistics and engineering deliveries. You will join an existing application development team in More ❯

and work with many different platforms. Loving drones and writing software are key to succeeding in this role. You must have these to apply: Bachelor's degree in Robotics, Computer Science, Mechatronics, Electrical Engineering, Mechanical Engineering, or related field Experience developing code for autopilots, Ardupilot or PX4 Experience developing companion compute solutions using frameworks like MAVLink, MAVSDK, or DJI … time to build, test, and deploy capabilities in the real world A desire to work on critical software that has a real-world impact Nice to have: Experience with computer vision based positioning and navigation in UxVs (Visual Odometry, SLAM) Experience with simulation tools (Gazebo, X-Plane, Airsim, Unreal, etc.) Familiarity with optical sensors and solutions Experience designing More ❯

Software Engineer required to join a cloud services development team working on an industrial workflow and process management system that takes real world IoT device data including location tracking, computer vision and time series data, to enable clients to monitor and proactively manage plant process, logistics and engineering deliveries. You will join an existing application development team in More ❯

art The field of machine learning has recently been much impacted by deep learning. Deep neural networks are now at the basis of the state-of-the-art in computer vision, natural language processing, to cite just a few. While very effective, these models are computationally costly and require large quantities of data for their many parameters to More ❯

into creating new cutting-edge features interacting directly with hardware. The work will go beyond solely the development of desktop applications, as projects could overlap with machine learning and computer vision techniques as well as frontend UI work. This role is ideal for someone with at least a year or two of experience, preferably with a background in More ❯