Salary: £70,000 - 90,000 per year Requirements: Masters or Ph.D. (or equivalent experience) in Data Science, Machine Learning, Artificial Intelligence, or a related field. Strong proficiency in Python with practical experience of PyTorch or TensorFlow. Working knowledge of implementing and optimising deep neural networks (e.g. CNNs, Transformers, GNNs). Hands-on experience with embedded C/C++ for model integration with an understanding of low-latency and low-power constraints in real-time systems. Awareness of adversarial ML and model robustness techniques. Understanding of secure-by-design principles and trusted execution concepts for AI on edge devices. Keenness to work on meaningful problems within the context of UK Defence and Security. 5 years of experience in AI/ML systems development (desirable). Understanding of training-inference workflows, including data preprocessing, model evaluation, and benchmarking (desirable). Familiarity with hardware accelerators (FPGA, TPU, ASIC, GPU-based inference) (desirable). Experience with model optimisation techniques: quantisation, pruning, knowledge distillation, and model compression (desirable). Proficient with Git, CI/CD and Linux-based development environments (desirable). Ability to document and test code for reproducibility and maintenance (desirable). Responsibilities: Designing and optimising ML models to enhance secure communications and signal processing on a range of edge devices. Implementing low-latency, high-performance deep learning pipelines on hardware accelerators such as FPGA, TPU, and ASICs. Optimising CNN, Transformer, RNN, and/or GNN architectures for deployment on low-power embedded systems. Applying quantisation, pruning, distillation, and model compression to enhance efficiency. Strengthening model robustness against adversarial attacks and system-level security threats. Collaborating with embedded and security engineers to align AI performance with real-world system constraints. Technologies: AI CI/CD Embedded FPGA Git Hardware Linux Machine Learning PyTorch Python Security TensorFlow More: We are an early stage, fast-paced, and independently funded start-up located in Oxford, dedicated to revolutionising wireless communications through cutting-edge technology. Our talented team, with strong links to the University of Oxford, is on a mission to enable safe and efficient communication systems that will ultimately protect our way of life. We offer a competitive salary ranging from £70,000 to £90,000 per annum, and we are committed to creating a diverse and inclusive work environment, welcoming applications from all qualified individuals. last updated 11 week of 2026