Machine Learning Engineer - Ops

Wayve; Greater London; Híbrido; GBP 90.000 - 150.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity

Relocation support and visa Sponsorshi

Hybrid working

Learning and development budgets

Health insurance

Dental cover

Pension / retirement benefits

Descripción de la vacante

Wayve is building the leading AI platform for autonomous driving and seeks a Model Integration and Release Engineer. You will own the release process for driving models, validating changes from research to production, and coordinating across ML engineering, AI Platform, evaluation, and CI/CD to ensure safe, reliable deployments.

You will review model changes, manage release cadences, and implement automated checks to accelerate delivery while maintaining quality and safety standards.

Formación

• Significant software integration and release experience with branching strategies, release cadences, and configuration management.
• Understanding of ML training, model lifecycles, and infrastructure to deliver models reliably.
• Ability to review architecture, code, and metrics and challenge deviations from intent.
• Experience with ML tooling such as PyTorch, TensorRT, model registries, quantisation, or deployment.
• Comfort with CI/CD systems and GitHub Actions.
• Ownership mindset to fix underlying processes rather than patching releases.

Responsabilidades

• Define and evolve model development and release processes, including branching, cadence, and quality gates.
• Review proposed model changes to ensure alignment with intent and outcomes.
• Assess evaluation results and release readiness against quality and safety standards.
• Identify bottlenecks and drive cross-team improvements.
• Balance speed with rigour in release decisions.
• Maintain release pipelines for full ML training and delivery lifecycle.
• Implement automated checks and tooling to catch issues early.
• Ensure reliable evaluation methods and CI/CD workflows.
• Improve monitoring and observability for production releases.
• Establish engineering standards and scalable processes for ML systems.

Conocimientos

Software integration

Release management

CI/CD workflows

ML training lifecycles

Code review

Herramientas

PyTorch

TensorRT

Model registries

Quantisation

GitHub Actions

Descripción del empleo

Описание:

Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that. Here’s what this particular role covers.

About our Model Integration and Release Team Our Model Integration and Release team owns the engineering release process for Wayve’s driving models. When research and engineering teams develop new architectures, features, or data changes, we validate that they meet our quality, safety, and performance standards before they reach customers. The team works across ML engineering, AI Platform, evaluation, and CI/CD to protect the model baseline while continually improving how reliably and efficiently we deliver models.

Задачи:

• 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.
• Release pipelines covering the full ML training and delivery lifecycle.
• Automated checks and tooling that identify issues earlier in development.
• Reliable evaluation methods for assessing model changes and release readiness.
• CI/CD workflows that streamline model integration and delivery.
• Monitoring and observability that improve confidence in production releases.
• Engineering standards and operational processes that enable teams to deliver high-quality ML systems at scale.

Требования:

• You have significant software integration and release experience, including branching strategies, release cadences, and configuration management.
• You understand ML training, model lifecycles, and the infrastructure required to deliver models reliably.
• You can review someone else’s model, architecture, or code changes and challenge decisions that do not align with their stated intent.
• You have experience with ML tooling and technologies such as PyTorch, TensorRT, model registries, quantisation, or model deployment.
• You are comfortable working with CI/CD systems and GitHub Actions.
• You take ownership of ambiguous, cross-team problems and prefer fixing underlying processes rather than repeatedly patching individual releases.
• You combine a strong quality mindset with the judgement to recognise when speed genuinely matters.
• You communicate clearly and collaborate effectively across research, engineering, platform, evaluation, and product teams.

More about Wayve:

We are building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines. Our ambition is to make autonomy universal. Wayve’s mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility.

How we work:

Locations & Flexible Working: Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives.

The Interview Process

Our process is clear and respectful of your time: Initial call / recruiter screen: 30mins with Talent Partner. Competency Interviews: 30mins with Hiring Manager. Deep-dive technical interviews: ML Deep Dive, PyTorch Debugging and Tech Leadership; 3 hours total. Final interview: Mission & Values Alignment, 1 hour. We’ll always explain the format and work around your availability.

Условия:

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more.

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. If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.

We’re committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.