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 reviews model and metric changes, validates training phases, identifies pipeline bottlenecks, improves MLOps tooling and workflows, and partners with platform, CI/CD, and evaluation teams. It requires deep ML training and MLOps expertise, including PyTorch, TensorRT, quantization, model deployment, and GitHub Actions, and is a full-time hybrid role based in Wayve’s London office.
