> Markdown version of [/jobs/ext/2951889-machine-learning-engineer-driving-product](https://www.wearedevelopers.com/jobs/ext/2951889-machine-learning-engineer-driving-product). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer, Driving Product - **Company:** Wayve - **Location:** London, UK (Remote available) - **Experience:** Expert - **Salary:** £44,747.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Machine Learning, Reinforcement Learning, Pytorch, Deep Learning - **Published:** September 17, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5885921548 ## About the Role In order to set you up for success as a Machine Learning Engineer at Wayve, we're looking for the following skills and experience. Essential * Proven experience training deep learning models, with clear end-to-end ownership (data, training, evaluation, iteration). * Experience taking ML models into production, including working through real-world constraints and quality and safety requirements Desirable * Reinforcement learning experience (especially where it materially improved real-world performance). * Experience with end-to-end driving models and / or transformer networks * Automotive or OEM experience, or prior work that involved deploying ML into physical systems. * Experience with a Pytorch lightning training infrastructure * Experience with model compression and deployments to embedded systems ## Description * Develop the AI driver model architecture and training algorithms to introduce and enhance the driving behaviors for L2/L3/L4 * Own key parts of the training model lifecycle, including evaluation strategy, success metrics, and iteration planning. * Mine, bucket, and curate real-world and synthetic data to teach specific driving behaviours, and implement data schemes to support training. * Run and analyse on-road and offline experiments, translate results into clear next steps, and drive improvements through repeated training cycles. ## Related Videos - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [How Machine Learning is turning the Automotive Industry upside down](https://www.wearedevelopers.com/videos/61-how-machine-learning-is-turning-the-automotive-industry-upside-down) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [What non-automotive Machine Learning projects can learn from automotive Machine Learning projects](https://www.wearedevelopers.com/videos/397-what-non-automotive-machine-learning-projects-can-learn-from-automotive-machine-learning-projects) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [How software is steering vehicle technology](https://www.wearedevelopers.com/magazine/515-how-software-is-steering-vehicle-technology) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How machine learning can help us tell fact from fiction](https://www.wearedevelopers.com/magazine/509-how-machine-learning-can-help-us-tell-fact-from-fiction) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)