Manager, Machine Learning Operations
Intermountain Health · United States · US
Health Tech
Remote
Not yet analysed
Demand78
Career growth80
Healthcare fit30
Remote potential85
Salary band
USD 60 – 92
5-year outlook
Likely competitive senior healthcare-tech management compensation with growth toward director-level AI/ML operations leadership; exact salary depends on location, team scope, and experience.
Clinical license
Not required
Applicant reach
narrow
Seniority
senior
Employment type
full-time
Date found
2026-10-19
Intelligence details
Flexible work details
- Engagement type
- Permanent
- Hours
- Full-time
- Eligible countries
- United States
- Rate period
- Hourly
Listing via Himalayas.
Eligibility, licensing, and location restrictions can change. Always confirm details on the source posting before applying.
Why this is worth applying to
Worth considering only if you have substantial MLOps, ML engineering, cloud, and people-leadership experience; most clinicians without that technical management background will not be competitive.
Who should apply
Physician informaticists or clinician-engineers with MLOps/cloud/ML platform leadership experience; nurse or pharmacy leaders with deep data engineering or software management backgrounds; healthcare data science managers moving into AI operations.
CV angle
Frame clinical and healthcare experience as domain context for responsible AI, algorithm governance, payer/provider workflows, and stakeholder alignment, while leading with MLOps, cloud platforms, CI/CD, ML engineering team leadership, and measurable deployment/monitoring outcomes rather than clinical duties.
Skills to highlight
- Machine Learning Operations
- Cloud Platforms
- CI/CD and DevOps
- ML Engineering Team Leadership
- Data Engineering
- Responsible AI and Algorithm Governance
- Stakeholder Alignment
- Healthcare Domain Context
Role summary
A senior people-management role leading MLOps and data engineering teams to deploy, monitor, and govern machine learning solutions for a healthcare payer/provider, with accountability for strategy, partnerships, responsible AI, and delivery.
We publish our own intelligence summary, never the full job description. Always confirm details with the employer when you apply.