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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