Embedded Machine Learning Engineer

An embedded machine learning engineer in Edinburgh develops models for real-time sensor classification on devices with strict hardware limitations. The role involves managing sensor data streams, optimising models for embedded deployment, and ensuring robustness in noisy, uncontrolled environments. The engineer collaborates with cross-disciplinary teams to iterate and validate models across field conditions, balancing accuracy with computational and power constraints. They also contribute to building scalable workflows for model development, transferability, and real-world reliability. Technical skills in Python, TensorFlow Lite, and IoT data are essential, along with experience in deploying models to embedded systems. The position requires a proactive, detail-oriented professional capable of bridging data science and hardware engineering.