Oura
Senior MLOps Engineer
$148K–$203K
Remote - United States +1 · Remote · Senior · Full-time · Posted Aug 4, 2026
- Location
- Remote - United States
Remote, United States - Experience
- 5+ years in MLOps, machine learning engineering, platform engineering, data engineering, or a closely related field.
About the job
Leads the design and operation of shared MLOps platforms and workflows so data science teams can build, deploy, and govern reliable machine learning systems at scale.
What you'll do
- Develop and unify platform capabilities and workflows for ML training, orchestration, deployment, and governance.
- Improve ML lifecycle practices, including reproducibility, lineage, access controls, monitoring, and model maintenance.
- Drive automation, infrastructure-as-code, CI/CD, documentation, and cross-team standards for production ML systems.
What they ask for
- 5+ years of experience in MLOps, machine learning engineering, platform engineering, data engineering, or a closely related field.
- Hands-on experience running production workloads in AWS and a strong understanding of cloud infrastructure concepts.
- Strong understanding of the machine learning lifecycle, including training, deployment, monitoring, and ongoing model maintenance.
- Familiarity with ML experimentation and operations tooling, workflow orchestration, infrastructure-as-code, CI/CD, and secure access patterns.
Nice to have
- Experience supporting multiple data science teams through shared MLOps platforms or tooling.
- Prior experience with Databricks.
Pay
USD $172,550 - $203,000 base salary (Region 1); USD $158,950 - $187,000 base salary (Region 2); USD $147,900 - $174,000 base salary (Region 3)
Tools
AWS, MLflow, Databricks, infrastructure-as-code, CI/CD
AI focus
Enables data science teams to train, deploy, monitor, maintain, and govern production machine learning systems.
Model-written summary · the original posting is authoritative