Senior engineer building AI/ML observability and data infrastructure at scale.
Design and develop core backend systems for machine learning observability, including large-scale data processing, storage, and specialized aggregation techniques. Lead the architecture of ML infrastructure supporting training, deployment, and monitoring of AI workloads. This role suits experienced engineers with 5+ years building database systems, data warehouses, and enterprise-grade software who can handle distributed systems complexity.
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Found at a specialist agency · listed 25 September 2026 · InsideJobs links you to the original posting.