Staff Machine Learning Engineer Ops
Wayve is a London-headquartered embodied-AI company developing and licensing mapless, vehicle-agnostic driving software for assisted, automated, and robotaxi applications.
About Wayve
Wayve Technologies Ltd. develops the Wayve AI Driver, an end-to-end, data-trained software platform that runs on onboard vehicle compute and native sensors. It is designed for OEM integration across L1 driver assistance through L4 automated driving, without HD maps.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will set and enforce release standards across model-training phases. You will review models, metrics, and evaluation results; improve delivery bottlenecks; build quality checks and automation; adapt CI/CD workflows; and strengthen model-evaluation methods.
Requirements
- MLOps
- Model registry
- Machine learning lifecycle
- Machine learning training
- PyTorch
- TensorRT
- Quantization
- Model deployment
- CI/CD
- GitHub Actions
- Communication
Responsibilities
- Collaborate with engineering, data, and product teams to deliver features
- Review release content and evaluation results before release
- Identify ML delivery bottlenecks and drive fixes
- Define and build quality checks and automation
- Adapt CI/CD workflows and streamline model delivery
- Improve evaluation methodology
- Introduce MLOps improvements
Benefits
- Hybrid working policy
- Time working from home