This London-based infrastructure company is seeking an experienced MLOps engineer to own deployment, observability, and reliability of LLM services on high-throughput Kubernetes infrastructure. You will work at the intersection of distributed systems, GPU scheduling, and agent execution logic to deliver scalable AI platforms for enterprise clients.
You will define deployment patterns, orchestration strategies, and cost optimizations while maintaining traceability and resilience under real-world
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MLOps Engineer: Sovereign AI on Kubernetes employer: Dex
At Dex, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our London-based team enjoys a hybrid working model, competitive benefits, and ample opportunities for professional growth, all while contributing to cutting-edge technology in the healthcare sector. Join us to make a meaningful impact in real-time systems and edge deployment, surrounded by a supportive team dedicated to excellence.
