Senior ML Platform Engineer
Listed on 2026-10-12
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Software Development
Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Mercury in San Francisco, CA is seeking an experienced ML Engineer to build and operate the real-time inference service for our risk decisioning platform. You will own deployment infra, ensure low latency and high availability, and partner with Data Science to move models from development to production under MLP ownership.
The ideal candidate has 5+ years in ML engineering or MLOps, strong Python backend skills with FastAPI or Flask, and hands-on experience with model registries, CI/CD, and
We would love to welcome a new Senior Real-Time ML Platform Engineer to our organisation in Portland, OR, United States.
We aim to respond to suitable candidates as soon as possible.
Full responsibilities and requirements are described in the listing above.
Learn more about the Senior Real-Time ML Platform Engineer role in the description above.
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