Nebius is building production-grade inference for open-source, customer, and internally optimized models. This role owns the path from model artifact to fast, reliable endpoints, sitting at the intersection of model internals, inference engines, serving architecture, benchmarking, and deployment.
You will drive platform-level optimizations and build reusable evaluation and rollout frameworks across model families, collaborating with MLEs, engineers, and researchers to meet strict latency and
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Staff ML Engineer: Inference & Optimization Lead in London employer: Resume Skip
At Lila Sciences, we pride ourselves on being an exceptional employer dedicated to fostering innovation and collaboration in the field of AI safety. Our vibrant work culture encourages continuous learning and professional growth, providing employees with unique opportunities to engage with leading scientists and engineers while contributing to groundbreaking solutions that address global challenges. Located in a dynamic environment, we offer competitive benefits and a supportive atmosphere that empowers our team to make a meaningful impact.
