Manager, Machine Learning, Vision Models

Wayve; Greater London; Hybrid; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Salaries benchmarked annually

Meaningful equity

Relocation support & visa sponsorship

Hybrid working & access to labs

Learning & development support

Comprehensive health and wellbeing

Job summary

Wayve is seeking a senior ML engineering leader in London to guide a growing team and shape the technical roadmap for offline scene understanding and driving models. You will drive architecture decisions, review designs, and ensure reliability for customer-facing deliverables.

Leverage Transformer-based and multimodal approaches, coordinate with UK/US teams, and translate business goals into strategic plans while mentoring senior engineers.

Qualifications

• 8+ years in ML engineering with hands-on CV experience.
• 2+ years leading or mentoring senior engineers.
• Staff-level depth in transformers, multimodal and foundation models.
• Proficient in Python; strong production-grade ML judgment.

Responsibilities

• Lead and develop a London-based team of Senior ML Engineers, setting technical direction.
• Align roadmaps across on-vehicle modelling, foundation models, Evaluation, and more.
• Translate business goals into sprint, quarterly and multi-year plans.
• Review designs and code to raise engineering quality and reliability.
• Coordinate with UK/US teams and stakeholders for roadmaps.

Skills

Team Leadership

ML Architecture

Transformers

Multimodal Systems

Foundation Models

Large-scale Training

Python

Communication with Stakeholders

3D Scene Understanding

Tools

Python

PyTorch

Git

Job description

Задачи:

Lead and develop a London-based team of Senior Machine Learning Engineers while remaining deeply engaged in technical direction. Set the architecture for robust, scalable offline scene-understanding and measurement models. Translate ambiguous business goals into sprint, quarterly, annual, and multi-year technical roadmaps. Review designs and code, raise the engineering quality bar, and ensure models are reliable enough for customer-facing deliverables. Align roadmaps across on-vehicle modelling, foundation models, Evaluation, Simulation, and Model Development Platform teams in the UK and US. Identify capability gaps ahead of demand and build the technical and organisational case to address them. Offline models that predict and explain counterfactual driving outcomes. Scene-understanding systems that assess coverage, mine rare events, and measure learned driving behaviour. Rig-agnostic architectures built from transformer, multimodal, and foundation-model technology. Production ML systems that shorten the loop between driving-model changes and reliable evaluation evidence. A growing senior team operating across multiple organisations and locations.

Требования:

You have 8+ years in ML engineering, including hands-on computer vision with camera or lidar data and a record of shipping production ML systems. You have 2+ years managing or tech-leading senior engineers and enjoy combining people leadership with technical leadership. You bring staff-level depth in transformers, multimodal systems, foundation models, and large-scale training. You are proficient in Python and PyTorch or a similar framework and have strong judgement about production-grade ML. You can align roadmaps across teams and geographies and communicate technical strategy clearly to senior stakeholders. Experience with 3D scene understanding, offline models, simulation, counterfactual evaluation, or distributed teams is beneficial. Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement. More about Wayve Wayve is 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. Our ambition is to make autonomy universal. Wayve’s mapless and hardware-agnostic AI platform integrates with global OEM partners, enabling continuous software evolution from L2+ through to L4.

How we work – Locations & Flexible Working

This role is based in London. We operate a hybrid model combining in-person collaboration in our offices and workshops with focused time working remotely.

The Interview Process

Initial call / recruiter screen (25 min) Hiring Manager Domain Chat (60 min) Deep-dive interviews covering ML architecture, systems, and domain expertise (4 hours) Final interview focused on mission and values alignment (45 min) We’ll always explain the format and work around your availability.

Условия:

• Salaries benchmarked against the market annually
• Meaningful equity
• Relocation support and visa sponsorship where applicable
• Hybrid working and access to vehicle workshops and labs
• Learning and development support
• Comprehensive location-dependent health, family, pension, and wellbeing benefits

A quick, honest note before you apply.

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.

At Wayve 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.

To learn more about what drives us, visit Values at Wayve.