Staff ML Engineer to own production ML platform infrastructure and scaling.
Lead the design and operation of machine learning systems serving predictions at global scale. You'll drive transformative infrastructure initiatives—from replatforming queueing systems to managing multi-region model serving—while mentoring senior engineers and maintaining high reliability and cost efficiency. Requires 8+ years in distributed systems, hands-on ML production experience, and deep Kubernetes expertise.
Membership is €29/month, cancel anytime: every rate, every original listing link, and a daily alert for roles matching your filters.
Found at a specialist agency · listed 17 September 2026 · InsideJobs links you to the original posting.