Principal ML Platform Engineer

The position involves designing, building, and maintaining the infrastructure that enables research and product groups to train, evaluate, and deploy generative AI models at scale. Responsibilities include developing research‑grade pipelines, production serving layers, internal developer tools, and the interfaces that bind these components together. The team is also tasked with increasing automation and creating agent‑driven workflows so that routine operations shift from manual intervention to reliable tooling. Candidates should possess a broad systems perspective, be comfortable working across cloud infrastructure, backend services, and tooling, and have practical exposure to machine‑learning platforms in real‑world settings. A strong focus on reliability, scalability, performance optimisation, and efficient resource utilisation in complex production environments is essential. The role is intended for an experienced senior engineer who has demonstrated ownership of large‑scale platform projects, though the advert does not specify exact years or formal qualifications. The job is offered on a fully remote basis, with no mention of office attendance or hybrid arrangements. It is best suited for a hands‑on individual contributor who enjoys shaping the evolution of a machine‑learning platform and thrives on solving challenging infrastructure problems.