Lead ML/AI program execution across teams at scale, managing complex initiatives end-to-end.
Oversee cross-functional ML/AI initiatives spanning engineering, product, and infrastructure, from conception through launch. You'll manage the unique challenges of ML development—experimentation cycles, model evaluation, and non-linear timelines—while coordinating alignment across research scientists, engineers, and leadership. The role demands strong technical depth in model infrastructure, inference systems, and production ML practices, alongside ability to navigate ambiguity and drive execution in a fast-moving AI environment.
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Found at a specialist agency · listed 11 October 2026 · InsideJobs links you to the original posting.