Wayve in London is seeking an experienced ML Engineer (MLE) to build and scale world-model architectures and synthetic-data pipelines. You will bridge ML research and engineering, collaborating with scientists and platform engineers to produce training artefacts and data for autonomy development.
The role is full-time and based in our London office with a hybrid policy that combines office and home working to fuel innovation and collaboration.
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Senior ML Engineer: Scalable Synthetic Data for Autonomous Driving employer: Wayve Technologies Ltd.
At Wayve, we pride ourselves on being an exceptional employer, particularly for our Lead Applied Scientist role in London. Our dynamic work culture fosters innovation and collaboration, allowing you to work alongside world-class researchers while contributing to groundbreaking advancements in autonomous technologies. With a hybrid working policy, core hours for flexibility, and a strong emphasis on employee growth, we ensure that your passion for TinyML translates into meaningful impact in the real world.
