Machine Learning Engineer (Computer Vision & PalmCode Algorithm) - Edinburgh, On-site at Nethermind

Candidates must possess a Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field, with at least 3 years of industry or academic experience applying ML/CV. Strong experience in computer vision and applied ML, particularly in biometrics, face/palm/iris recognition, or similar fields, is required. Proficiency with deep learning frameworks like PyTorch, TensorFlow, and ONNX, along with experience building efficient models for edge/embedded deployment using techniques such as quantization, pruning, and distillation, is essential. Familiarity with presentation attack detection (PAD) methods and adversarial robustness is necessary. Strong programming skills in Python and C++ are expected, and a solid grasp of the ML lifecycle, including data pipelines, training, evaluation, and deployment, is crucial. A deep understanding of probability, statistics, linear algebra, and optimization, enabling reasoning about model behavior beyond library usage, is also required. Experience in biometrics or embedded ML is strongly preferred.