Description
Wayve is hiring a Staff Machine Learning Engineer (Ops/Release) to oversee the quality and safety of its machine learning model development and release process. The role sets release-gate standards, reviews model and metric changes, identifies pipeline bottlenecks, improves MLOps tooling and workflows, and collaborates with ML, data, platform, CI/CD, and evaluation teams. It requires deep ML training knowledge, strong MLOps and model-lifecycle experience, CI/CD and GitHub Actions expertise, and experience with PyTorch, TensorRT, quantization, and model deployment. The position is full-time and hybrid in London.
