Machine Learning Engineer, Application Software

The posting, as Wayve wrote it

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 Application Software Teams

Our Application Software team pushes the frontier of model-based autonomous driving, improving core driving performance and developing intelligent features such as personalisation, comfort and collaboration.

As a Machine Learning Engineer, you’ll lead critical initiatives to design and deliver ML-driven behaviours that scale from assisted to autonomous driving. Your work will span model architecture, data pipelines, evaluation frameworks and real-world deployment.

You’ll work closely with AI Platform, Simulation, Robot Software and Model Release teams to build systems that are performant, adaptable and ready for production, while helping shape the long-term technical direction across Autonomy.

🧠 Your day-to-day

• Develop and improve end-to-end driving models, advancing their performance, robustness and generalisation.
• Lead technical initiatives in personalised and collaborative driving, including behaviour conditioning, comfort tuning and alignment with user preferences.
• Build evaluation pipelines and metrics to assess open-loop and closed-loop driving performance and product readiness.
• Curate and mine real-world and synthetic data to improve scenario diversity, coverage and feature-specific development.
• Collaborate across engineering teams to integrate models, accelerate iteration and support real-world deployment.
• Mentor senior engineers, drive technical alignment and influence architecture, training and deployment decisions.

🧩 What you’ll be working on

• End-to-end driving intelligence: Advance the models that underpin assisted and autonomous driving, connecting model development with real-world performance.
• Personalisation, comfort and collaboration: Develop ML-driven behaviours that adapt to user preferences and support comfortable, collaborative driving.
• Evaluation and product readiness: Create frameworks that measure driving quality, robustness and feature performance in both open-loop and closed-loop settings.
• Data-driven model improvement: Use real-world and synthetic data to uncover gaps, broaden scenario coverage and support targeted feature development.
• Production-scale learning systems: Shape model architectures, training methodologies and deployment pathways, working across AI Platform, Simulation, Robot Software and Model Release.
• Technical leadership: Lead cross-team initiatives and help define the long-term technical direction of our autonomy capabilities.

🙌 You should apply if

• You have an extensive, proven track record of shipping deep learning systems to production.
• You bring deep experti

[…]
📈 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

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.

For more information visit Careers at Wayve. https://wayve.ai/careers/ To learn more about what drives us, visit Values at Wayve https://wayve.ai/careers/

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.