Senior ML Ops Engineer — Model Release & Delivery

EngineersOfAI; Greater London; Hybrid; GBP 110,000 - 190,000; Full time

Job summary

Wayve is seeking a Staff Machine Learning Engineer (Ops/Release) in London to define and enforce release gates across training stages. You will oversee validation before advancing to the next phase and ensure the integrity of model baselines on deployment.

You’ll drive ML delivery pipelines, review releases for quality and safety, identify bottlenecks, and partner with AI Platform, CI/CD, and evaluation teams to evolve tooling and methodologies.

Qualifications

• Full system thinker with experience introducing operational processes to build engineering excellence.
• Strong ML Ops, model registry and ML lifecycle experience.
• A deep technical depth in ML training.
• A strong understanding of ML code infrastructure – experience with PyTorch, TensorRT, quantisation and model deployment.
• Strong CI/CD and Github Actions experience.
• Strong communications skills with a collaborative mindset.

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 checks and automation.
• 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

CI/CD

Github Actions

Pytorch

TensorRT

Quantisation

Model deployment

Communications

Tools

Pytorch

TensorRT

Grafana

Job description

Wayve is seeking a Staff Machine Learning Engineer (Ops/Release) in London to define and enforce release gates across training stages. You will oversee validation before advancing to the next phase and ensure the integrity of model baselines on deployment.

You’ll drive ML delivery pipelines, review releases for quality and safety, identify bottlenecks, and partner with AI Platform, CI/CD, and evaluation teams to evolve tooling and methodologies.