Dex is seeking an experienced MLOps engineer to own deployment patterns and observability for LLM services within sovereign Kubernetes environments in London. You will work between distributed systems engineering, GPU scheduling, and agent execution logic to ensure reliability under enterprise loads.
You will design scalable deployment patterns, optimize costs, and implement trace-level observability across complex multi-step agent workflows, enabling robust AI platforms in regulated settings.
Lead MLOps Engineer for Sovereign AI on Kubernetes in London 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.
