2 of 2 Low Latency Jobs in the Thames Valley

ever-changing world. Key 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/… architectures for deployment on low-power embedded systems. Apply 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. Edge AI Engineer essential experience ...

optimising, and maintaining data pipelines using Apache Airflow. Familiarity with distributed data processing systems such as Spark or Databricks. Experience working with high-performing, low-latency, or large-volume data systems. Ability to collaborate effectively within cross-functional, agile, delivery-focused teams. Experience defining data models, metadata ...