11 of 11 Sensor Fusion Jobs in England

development areas, and have a good track history/proven track record in both problem solving and quality software development. Your role as a Sensor Fusion Lead will involve architecting, designing, implementing and testing embedded applications primarily focused around sensor suite integration and fusion. You may also … environments using our in-house fleet of UAVs. Key Responsibilities: Primarily, your role will be to own maintain, architect and develop our current sensor fusion capabilities and algorithms and add new features in a structured and maintainable manner under direction of product owner. Research, Architect, Design and Test ...

future of a next-generation autonomy platform * High-accuracy, large-scale LiDAR and vision-based mapping * Strong emphasis on ROS2, C++ and multi-sensor fusion * Hybrid working in London About the client We are partnering with an established and growing technology organisation developing a next-generation autonomy product … LiDAR and vision-based mapping pipelines * Develop and optimise 2D and 3D map representations, including occupancy grids, HD maps and semantic layers * Lead multi-sensor fusion across LiDAR, cameras, radar, GNSS/INS and odometry * Support multi-session, large-scale and distributed mapping workflows * Implement map versioning, incremental ...

with multiple active projects. We are looking for a mid-to-senior Embedded Software Developer to implement and optimize Kalman filter–based navigation/sensor-fusion algorithms on microcontrollers, primarily ARM Cortex and preferably STM32. You’ll work close to hardware, own critical algorithm-to-firmware translation … classical KF) pipelines for navigation/estimation. Develop production-grade embedded C/C++ firmware on ARM Cortex-M, preferably STM32. Integrate and process sensor data (typical: IMU accelerometer/gyro, magnetometer, barometer, GNSS, wheel/odometry as applicable). Design real-time data acquisition and filtering pipelines (timing ...

unrelenting focus on quality, reliability and innovation. We Are in Search Of A Product Manager to own the next generation of multi-sensor detection products as they evolve. Reporting to the VP of Product Management & Marketing, you will drive products from concept to launch, blending hands-on hardware expertise … with video software integration, radar/sensor fusion, and edge AI analytics. What Youll Do Key Responsibilities Product Ownership Define vision, strategy and roadmap for your product(s); own positioning against competing radar-camera and AI camera solutions. Hardware Excellence Specify requirements for sensors, optics, radar modules, SoCs ...

Proven hands‐on experience deploying models in production and building scalable AI software. Deep understanding of advanced modelling methods: deep learning, GNNs, computer vision, sensor fusion, vector embeddings, RAG, generative AI . Experience designing AI/ML architectures and providing strategic technical guidance to enterprise clients. Proficiency with … enterprise clients, ensuring scalability, reliability, and real‐world impact. Apply advanced AI techniques—including deep learning, classical ML, graph neural networks, object detection, sensor fusion, vector embeddings, retrieval‐augmented generation (RAG), and generative AI models —to design systems that learn, adapt, and operate autonomously. Provide strategic architectural guidance ...

team driving the future of autonomous technology? This company is offering an exceptional opportunity to join their dynamic environment as a *AI/ML Sensor Fusion Engineer*. With cutting-edge projects and a focus on delivering world-class solutions, this role is perfect for someone passionate about ...

offer: • Senior, hands-on role with real ownership • High-accuracy LiDAR and vision-based mapping at scale • Strong focus on ROS2, C++ and multi-sensor fusion • Hybrid working The role: You’ll take ownership of mapping capability across the autonomy stack, working end-to-end from architecture … also mentoring engineers and contributing to best practice across the function. Key experience: • Strong background in SLAM, LiDAR and 3D mapping • Experience with multi-sensor fusion (LiDAR, cameras, radar, GNSS/INS) • Solid C++ and ROS2 expertise • Experience with large-scale, real-world mapping deployments • Understanding of geometry ...

applying AI and algorithms to real-world signals/comms, sensor fusion This senior position has a three-year term with a leading research institution and has strong Data Science elements. As a PhD-qualified scientist with further research or commercial experience, you will bring your prior experience … data science, analogue signal processing techniques, and algorithm development (whether with RF, radar, wireless comms, audio, SDR or medical devices, etc.), ideally including sensor fusion techniques Good Python or equivalent coding skills, happy to contribute to a codebase Good technical communication skills and the ability to lead meetings ...

maps produced are stable, scalable and production ready. Working closely with perception, localisation and navigation engineers, the goal is to turn raw multi-sensor data into precise, reusable map products that can be versioned, updated and deployed across fleets. Over time, this role will naturally grow into leading … semantic layers and environment models. * Applying optimisation techniques such as factor graphs, bundle adjustment and pose graph optimisation to maintain global consistency. * Leading multi-sensor fusion across LiDAR, cameras, radar, GNSS/INS and odometry. * Developing large-scale capabilities including multi-session mapping, map versioning, delta updates ...

Solid understanding of LiDAR-based SLAM algorithms (e.g., Cartographer, LOAM, LIO-SAM, HDL Graph SLAM, etc.) Experience with pose graph optimization, scan matching, and sensor fusion Familiarity with Open3D or PCL for point cloud processing. Understanding of state estimation frameworks (e.g., EKF, UKF, graph-based methods, or factor … LiDARs (Ouster, Velodyne, Hesai, Livox, SICK, etc.). Knowledge of calibration (LiDAR-IMU, LiDAR-camera, LiDAR-robot base). Understanding of sensor synchronization, timestamp alignment, and coordinate transformations. Ability to design and validate sensor placement for optimal coverage and robustness. Solid experience with ROS 2, C++, and Python ...

advantageous if you also have experience with one or more of the following: Inertial navigation systems , particularly in robotics, autonomous systems, or drone technology Sensor fusion techniques , including Kalman filtering or similar approaches Practical experience using MATLAB for modelling, simulation, or data analysis What ...