Join to apply for the

Machine Learning Engineer - Evaluation

role at

Wayve

Join to apply for the

Machine Learning Engineer - Evaluation

role at

WayveAt 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.Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.We value diversity, embrace new perspectives, and foster an inclusive work environment; This is a high-impact opportunity to shape how Wayve evaluates its foundation models for embodied AI. You''ll lead the development of our offline evaluation suitedesigning robust, interpretable metrics for tasks ranging from action and perception to language-grounded reasoning. Working closely with science, datasets, and infra teams, you''ll also drive human annotation efforts to ensure high-quality ground truth data. Build and scale offline evaluation pipelines for embodied AI modelsDesign and implement benchmarks and metrics across vision, language, and driving tasksLead and coordinate human annotation workflows, including quality assurance and task designAnalyze offline metrics and correlate them with online performance to inform deployment readinessIn order to set you up for success as a

Senior Machine Learning Engineer Evaluation

at Wayve, were looking for the following skills and experience:5+ years of relevant industry, including experience designing and implementing offline evaluation pipelines for ML models (vision, multimodal, or embodied AI)- Strong software engineering skills, including Python, data processing, and ML tooling- Experience with foundation models (LLMs or VLMs) and their evaluationBackground in autonomous systems, robotics, or embodied AI domainsAttractive compensation with salary and equityBespoke learning and development opportunitiesRelocation support with visa sponsorshipFlexible working hours - we trust you to do your job well, at times that suit you and your timeBenefits such as an onsite chef, workplace nursery scheme, private health insurance, therapy, daily yoga, onsite bar, large social budgets, unlimited LandD requests, enhanced parental leave, and more!This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.If youre passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.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.

Employment type

Full-time

Job function

Engineering and Information TechnologyIndustries

Software DevelopmentGet notified about new Machine Learning Engineer jobs in

London, England, United Kingdom

.Junior Machine Learning Engineer - User JourneyMachine Learning Engineer, RecommendationsMachine Learning Scientists and Engineers: AI for QuantumGraduate Software Engineer 2025 - RegTechResearch Engineer, ML, AI and Computer VisionWere unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.#