10 of 10 Sensor Fusion Jobs in the UK excluding London

MPC, RL, ROS2, custom hardware 🤖 Robots : Full-size humanoid platforms with real-world deployment targets 📚 Domains : RL for locomotion, whole-body control, balance optimization, sensor fusion What You’ll Do: Develop and implement control algorithms (classic or RL-based ) for complex locomotion tasks — including walking, squatting, stair climbing … imitation learning, or hybrid controllers blending learning and classical methods Nice to Have: Familiarity with real-time control systems and low-level hardware integration Sensor fusion knowledge (IMUs, joint encoders, force/torque sensors) Deep understanding of actuator modeling and dynamics Experience in gait optimization, compliance testing, and More ❯

level qualification in a related area or a degree with mathematical content and programming skills Relevant experience (Post-Doctoral or industrial) in robotics, data fusion, tracking/estimation, pattern discovery & recognition, statistical inference, optimisation and machine/deep learning algorithms along with real-time implementation, and/or validation … trajectory planning, optimisation, co-ordinated guidance and control, decision theory, MDPs/POMDPs, specialist systems, game theory, decision support systems, multi-agent systems Data fusion and state estimation/tracking algorithms e.g. Kalman Filtering, multiple-model tracking methods, particle filters, grid-based estimation methods, Multi-Object-Multi-Sensor Fusion, data-association, random finite sets, Bayesian belief networks, Dempster-Shafer theory of evidence Machine Learning for regression and pattern recognition/discovery problems e.g. Gaussian processes, latent variable methods, support vector machines, probabilistic/statistical models, neural networks, Bayesian inference, random-forests, novelty detection, clustering Deep Learning More ❯

Integration. In-depth knowledge of the full GNSS signal-processing chain. Synthetic aperture processing. GNSS simulators. Kalman filters and other probabilistic estimation techniques. Multi-sensor fusion techniques, including tight and deep coupling for GNSS-INS. Low-level embedded software development and testing (DSP). RTK and/or More ❯

developing and testing new UAV technologies with a ‘fly, fail, learn’ approach. Collaborate with AI/ML experts to build autonomous navigation, image processing, sensor fusion, and real-time decision-making features. What You’ll Bring: Experience with Agile methodologies and tools like Jira, Confluence, and Bitbucket (or More ❯

control systems that combine classic and modern methods. Familiarity with real-time control systems and integration with hardware, including actuators and sensors. Expertise in sensor fusion for state estimation (IMUs, joint encoders, force/torque sensors) to enable robust balance and locomotion control. Preferred Qualifications : Understanding of actuators More ❯

classic and modern methods. Desirable Skills and Experience Familiarity with real-time control systems and integration with hardware, including actuators and sensors. Familiarity in sensor fusion for state estimation (IMUs, joint encoders, force/torque sensors) to enable robust balance and locomotion control. Understanding of actuators dynamics and More ❯

experience any of the following specialisms; Telecommunications, RF, Electronic Warfare, Electro-Optics, Air/Land/Sea sub-system Platform Integration, Data Distribution Services, Sensor Fusion, AI/Machine Learning Practitioner level ability using Model Driven Engineering tool e.g. Cameo Systems Modeler, Matlab, Simulink, DOORS (classic) All successful More ❯

as integrating these models into real-time systems. The role will involve working with large and multi-modal datasets (e.g., images, video, audio, and sensor data), and deploying solutions in real-world environments, particularly in robotics-focused applications. Familiarity with robotics concepts such as SLAM, sensor fusion More ❯

simulation/model-based design. Preferred Experience Strong background in autonomous driving technologies. Expertise in Simulink and model-based design. Experience with perception and sensor fusion, AI/ML, or control systems for ADAS or AV platforms. More ❯

customers Amazon account is charged and a receipt issued. Designed and custom-built by Amazonians, JWO uses a variety of technologies including computer vision, sensor fusion, and advanced machine learning. Innovation is part of our DNA! We are incredibly proud of our selection too. We offer a mix More ❯