Occupation
MLOps Engineer
MLOps Engineers design and operate the infrastructure, platforms, and workflows that enable data science teams to develop, train, and deploy machine learning models reliably at scale. The work spans data pipeline management, model versioning, automated testing, containerization, orchestration, and monitoring systems—typically using tools like Kubernetes, Docker, and cloud platforms—to bridge the gap between research and production. The role suits experienced systems engineers comfortable with both software engineering discipline and machine learning concepts, who enjoy solving operational challenges across cross-functional teams.
Open MLOps Engineer roles (2)
Senior ML Ops Engineer
Confido
New York, NY · $210,000 – $300,000
Be the founding owner of the ML platform that turns Confido's AI models and agents into reliable, cost-efficient production systems handling hundreds of thousands of documents. You'll own the end-to-end pipelines, cloud infrastructure, and serving layer that lets the AI team ship fast while managing heavy LLM workloads at scale.
Listed on Confido’s careers site · Apply there ↗
Senior MLOps Engineer
Oura
Full-time · Remote - United States · $147,900 – $203,000
This role leads the design and operation of machine learning platforms that enable data science teams to reliably develop, train, and deploy models at scale. It suits experienced engineers who thrive working across multiple teams to build infrastructure, standardize workflows, and improve ML systems in a growing company.
Listed on Oura’s careers site · Apply there ↗