wayve - Staff Machine Learning Engineer - Ops
Responsibilities
• 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. • 🧩 What you’ll be working on • 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. • 🙌 You should apply if • 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. • 🌱 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.
Benefits
• 💰 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. • 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/
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