Wayve · 11–50 people · Series A
Staff Machine Learning Engineer - Ops
- London
- Hybrid
- Senior
- Permanent
Owns the engineering release process for autonomous driving models, defining branching strategies, release cadence, configuration management and quality gates. Reviews model, architecture and code changes against intended outcomes, assesses evaluation results for safety and performance, and builds CI/CD tooling and observability to catch issues earlier. Works across ML engineering, AI Platform, evaluation and product teams, balancing delivery speed with release rigour.
PyTorch · TensorRT · GitHub Actions +1