Wayve, London-based, is seeking a Staff Machine Learning Engineer (Ops/Release) to define and enforce release gates across complex model training phases. You will drive ML delivery pipelines, review releases, and partner with platform teams to optimize tooling for reliable model delivery and evaluation.
This hybrid role combines in-office collaboration in London with remote work, guarding model baselines and ensuring high safety standards in autonomous driving research.
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Staff ML Engineer — ML Ops & Release 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.
