abingdon, south east england, United Kingdom Hybrid / WFH Options
Reqiva
hardware. Desirable Skills: Experience with robotics, embedded systems, or IoT or edge devices. Experience with software engineering for manufacturing on industrial control. Familiarity with machinelearning libraries (e.g., TensorFlow, PyTorch). Background in AI algorithms and hardware-accelerated computing. This is an expanding company who will give you More ❯
Group within the UKAEAs Computing Division. We conduct research and development across diverse areas such as high-performance computing, algorithm development, artificial intelligence, and machine learning. Our focus is on optimising research workflows and advancing computing infrastructures for fusion reactor engineering. We collaborate with academia and industry on novel More ❯
metal components for industries including consumer electronics, AR/VR, liquid cooling systems, and additive manufacturing (AM) applications. Our proprietary software packages leverage advanced machinelearning and physical modelling to create innovative alloys, optimize processing techniques, and design high-performance, 3D-printed components. Role Overview We are seeking More ❯