Staff ML Engineer — ML Ops & Release Excellence

Wayve; London (KY); Hybrid; USD 146,000 - 212,000; Full time

Job summary

Wayve is seeking a Staff Machine Learning Engineer (Ops/Release) in London to define and enforce release gates across the model training lifecycle. You will ensure each training phase is validated before the next begins, protecting the baseline and product performance.

You will drive ML delivery pipelines, review release content and coordinates with platform, CI/CD and evaluation teams to improve tooling, speed, and reliability while staying current with MLOps practices.

Qualifications

• Full system thinker with operational process experience.
• Strong ML Ops, model registry and ML lifecycle experience.
• Deep technical depth in ML training.
• Strong ML code infrastructure knowledge; PyTorch, TensorRT, quantisation and deployment.
• Strong CI/CD and GitHub Actions experience.
• Excellent communication and collaboration.

Responsibilities

• Collaborate with ML engineers, data engineers and product teams to deliver features end to end.
• Review release content — model and metric changes, evaluation results — to confirm everything meets Wayve's quality and safety standards before it ships.
• Identify bottlenecks in the ML delivery pipeline and drive fixes that improve speed without compromising quality.
• Collaborate with AI Platform teams to ensure tooling meets our delivery needs, defining and building the checks and automation that catch issues earlier.
• Collaborate with CI/CD teams to adapt workflows and streamline model delivery.
• Collaborate with evaluation teams to ensure evaluation methods are reliable, identify gaps, and drive new methodology for evaluating our models.
• Stay up to date with the latest in MLOps practices and tools and bring improvements into the workflow.

Skills

ML Ops

Model registry

ML lifecycle

Deep ML training

ML code infrastructure

PyTorch

TensorRT

Quantisation

Model deployment

CI/CD

GitHub Actions

Communication

Tools

Grafana

Job description

Wayve is seeking a Staff Machine Learning Engineer (Ops/Release) in London to define and enforce release gates across the model training lifecycle. You will ensure each training phase is validated before the next begins, protecting the baseline and product performance.

You will drive ML delivery pipelines, review release content and coordinates with platform, CI/CD and evaluation teams to improve tooling, speed, and reliability while staying current with MLOps practices.