Staff Machine Learning Engineer - Ops

📋 Description

• Lead and own release gates for ML training phases; ensure validation before transitioning across
• Improve ML delivery pipelines, review release content, and remove bottlenecks to speed delivery.
• Collaborate with ML, data, product, and platform teams to align tooling and checks with delivery
• Work with CI/CD and evaluation teams to refine workflows and evaluation methods.
• Stay current with MLOps trends and introduce improvements to workflows.
• High-visibility role; protect model baselines and product performance on-road.

🎯 Requirements

• Strong ML Ops experience, model registry and lifecycle know-how.
• Deep technical expertise in ML training and model infrastructure.
• Proficient in ML code infrastructure and best practices – PyTorch, TensorRT, quantisation, and
• Solid CI/CD and GitHub Actions experience.
• Excellent communication and collaborative mindset.

🎁 Benefits

• Hybrid working policy mixing office time in London with remote work.
• Opportunities to work on cutting-edge Embodied AI and ML platform tooling.