Latest AI JobsBrowse Jobs
wayve logo

Staff Machine Learning Engineer - Ops

wayveLondon, United KingdomAV Engineering
Apply on company site
Salary
Not listed
Job type
Full-time
Work mode
Remote
Experience
Senior
Posted
2 Oct 2026
Status
Open · checked 7d ago

About this role

Located in London, United Kingdom, this Staff Machine Learning Engineer position focuses on operational processes and release management for autonomous driving models. This role suits an experienced engineer who enjoys solving complex cross-team deployment challenges in an evolving environment.

Role Overview

Based in London, United Kingdom, the Staff Machine Learning Engineer - Ops position sits within the Model Integration and Release team at Wayve. The professional in this role will own the engineering release process for driving models, ensuring that architectural changes and updates meet strict quality, safety, and performance standards before reaching production.

Key Responsibilities

Define and evolve model development and release processes, including branching strategies, release cadence, configuration management, and quality gates.
Review proposed model, architecture, code, and metric changes to guarantee implementations match their intended outcomes.
Assess evaluation results to determine if releases meet internal quality and safety standards.
Identify delivery bottlenecks and collaborate across teams to resolve root causes.
Balance speed and rigor by deciding when to accelerate delivery or request further validation.

Requirements

Significant software integration and release experience covering branching strategies, release cadences, and configuration management.
Understanding of machine learning training, model lifecycles, and the required delivery infrastructure.
Ability to review code, architecture, and model changes and challenge decisions that misalign with stated intent.
Experience with machine learning tooling and technologies such as PyTorch, TensorRT, model registries, quantization, or model deployment.
Familiarity with continuous integration and continuous delivery systems and GitHub Actions.

Skills and Tools

PyTorch
TensorRT
GitHub Actions
Model registries
Quantization
CI/CD pipelines

Salary and Benefits

Salaries benchmarked annually against the market
Meaningful equity options
Relocation support and visa sponsorship where applicable
Hybrid working model with core hours
Learning and development budgets for training and conferences
Comprehensive benefits including health insurance, dental coverage, enhanced parental leave, pension options, therapy access, and wellbeing partnerships

About the Company

Wayve builds embodied intelligence and AI platforms for autonomous driving, enabling vehicles to learn directly from real-world experience without hand-coded rules or pre-mapped environments. The company operates main hubs in London, Sunnyvale, Yokohama, Herzliya, Vancouver, and Leonberg.

How to Apply

Interested candidates should apply on the official company careers page.

Skills and tech stack

PyTorchTensorRTGitHub Actions

Questions candidates ask

Where is this job located?

This role is based in London, United Kingdom, utilizing a hybrid working model.

What technical tools and frameworks are required?

Candidates should have experience with tools and technologies such as PyTorch, TensorRT, model registries, quantization, model deployment, and GitHub Actions.

What does the interview process involve?

The process includes a recruiter screen with a Talent Partner, a competency interview with the Hiring Manager, a three-hour technical deep-dive covering ML, PyTorch debugging, and tech leadership, followed by a mission and values alignment interview.

Is visa sponsorship available for this role?

Yes, relocation support and visa sponsorship are available where applicable.

Ready to apply?

The application is on the official wayve careers page.

Apply on company site