Remote MLOps Manager: Healthcare AI Leader

Intermountain Healthcare Inc.; Lincoln (NE); Remote; USD 81,000 - 127,000; Full time

Job summary

Intermountain Health in Murray, Utah, seeks an accomplished Machine Learning Operations Manager to lead deployment and monitoring of enterprise ML products. This hands-on leader will mentor a team of ML engineers and data engineers, align AI initiatives with business and technical goals, and drive responsible AI practices across the organization.

You will oversee the MLOps tech stack, coordinate cross‑functional partnerships, and deliver ML solutions that impact clinical and operational

Qualifications

• Experience delivering ML operations infrastructure and solutions.
• CI/CD with Docker/Kubernetes experience required.
• Infrastructure-as-Code tools such as Terraform and Databricks Asset Bundles.
• Strong leadership and ability to engage with senior stakeholders.
• Knowledge of ML methodologies and frameworks including agentic systems.

Responsibilities

• Own strategic direction of MLOps tech stack.
• Lead AI/ML, data, software engineering and cloud operations teams.
• Ensure responsible AI practices and governance.
• Drive AI strategy, roadmap and project delivery.
• Mentor ML operations engineers and data engineers.
• Integrate ML solutions into key business processes.
• Stay current with ML trends and foster innovation.

Skills

Machine Learning Operations

Cloud Platforms

Artificial Intelligence and Machine...

Education

Bachelor's degree in AI, ML, Computer Science, Statistics, or a related field

Tools

Docker

Kubernetes

Terraform

Databricks Asset Bundles

Spark

Tensorflow

MLFlow

LangChain

Job description

Intermountain Health in Murray, Utah, seeks an accomplished Machine Learning Operations Manager to lead deployment and monitoring of enterprise ML products. This hands-on leader will mentor a team of ML engineers and data engineers, align AI initiatives with business and technical goals, and drive responsible AI practices across the organization.

You will oversee the MLOps tech stack, coordinate cross‑functional partnerships, and deliver ML solutions that impact clinical and operational