Staff Machine Learning Engineer - Ops

Job summary

Responsibilities

Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.

• Define and evolve Wayve’s model development and release processes, including branching strategies, release cadence, configuration management, and quality gates.
• Review proposed model, architecture, code, and metric changes to ensure the implementation matches its intended outcome.
• Assess evaluation results and determine whether releases meet Wayve’s quality and safety standards.
• Identify delivery bottlenecks and work across teams to address their root causes.
• Balance speed and rigour, making informed decisions about when to accelerate delivery and when a release needs further validation.

Tech stack

• PyTorch