Manager, Machine Learning Operations

Intermountain Healthcare Inc.; Utah; Remote; USD 69,000 - 165,000; Full time

Job summary

Intermountain Health is seeking a Machine Learning Operations Manager to lead deployment and monitoring of enterprise ML solutions. You will mentor teams across ML engineering, data engineering, and software disciplines, aligning with business goals and responsible AI practices.

The role emphasizes collaboration with clinical and technical leaders, governance, and scalable cloud-based ML platforms to reduce costs and improve member health outcomes.

Qualifications

• Bachelor's degree in AI, ML, Computer Science, Statistics, or a related field.
• 5+ years of experience in machine learning, data science, data engineering, or software engineering.
• Experience in health insurance, population health, or related industry.
• Strong written and verbal communication skills.

Responsibilities

• Lead and mentor a team of ML operations engineers and data engineers responsible for deployment and monitoring of enterprise ML solutions.
• Coordinate AI/ML engineering, data engineering, software engineering, cybersecurity, and cloud operations with business and technical leaders.
• Ensure responsible AI practices, model governance, and explainability across solutions.
• Oversee the ML operations portfolio to deliver timely, high-quality ML deployments that align with clinical and business needs.
• Develop and execute an AI/ML strategic vision and roadmap.

Skills

Leadership

Communication

CI/CD

Cloud

Python

Stakeholder management

Education

Bachelor's degree in AI/ML/CS/Statistics

Tools

Docker

Kubernetes

Terraform

Databricks

MLFlow

Job description

Intermountain Health and Select Health use industry-leading data science and artificial intelligence to deliver on our mission to “Help people have the healthiest lives possible”; making healthcare more affordable and higher quality; and making a difference in the patients and communities it serves.

The Machine Learning Operations Manager is a hands‑on and results‑oriented leader responsible for overseeing the deployment and monitoring of machine learning products. Specifically, this role supports Machine Learning Operations at Select Health and will consistently deliver measurable reductions in healthcare costs and improvements in member's health while improving the member experience.

• This role leads and mentors a talented team of machine learning operations engineers and data engineers who enable deployment and monitoring of enterprise machine learning solutions at scale.
• Manage AI and ML engineering, data engineering, software engineering, cybersecurity, cloud operations and other team partnerships and strategic alignment with business and technical leaders across the company.
• Ensure efficient application of Responsible AI values to monitor and assess internal and 3rd party machine learning solutions.
• Engage team to execute on AI and ML strategic vision and roadmap.
• Coordinate machine learning operations and data engineering product development and product management.
• Build and train effective machine learning engineering teams, foster employee engagement, ensure best practices, and strategic alignment.
• Mentor and coach machine learning operations engineering leads in developing team culture and project execution.
• Manage and execute the machine learning operations projects portfolio, ensuring timely and quality delivery of solutions that meet the organization's clinical, business, and technical needs.
• Integrate machine learning solutions into key enterprise business processes and decisions, following best practices and frameworks for algorithm governance, ethics, and explainability.
• Keep up to date with industry trends and advancements in machine learning, applying the latest practices and technologies to enhance the organization's capabilities and competitiveness.
• Support innovation by conducting research initiatives and exploring new methodologies and applications of machine learning.
• Recruit, train, and coach machine learning operations personnel, building a strong and skilled team.

Machine Learning Operations

Cloud Platforms

Artificial Intelligence and Machine Learning Development

Programming and CI/CD Best Practices

This position can be performed remotely with business travel as‑needed. Intermountain Health maintains employment registration in Utah, Idaho, Nevada, Colorado, Montana, and Wyoming. Currently, we are not hiring remote workers in the following states: Please note that a video interview through Microsoft Teams will be required as well as potential onsite interviews and meetings.

• Demonstrated experience of delivering and implementing successful machine learning operations infrastructure and solutions.
• Experience with DevOps best practices such as continuous integration and continuous deployment (CI/CD) and tools such as Docker, Kubernetes, and Git.
• Experience with Infrastructure-as-Code tools such as Terraform and Databricks Asset Bundles.
• Solid understanding of machine learning methodologies, algorithms, and frameworks including agentic systems.
• Experience with machine learning tools and programming languages such as Python, R, SQL, etc.
• Experience with machine learning production frameworks including Spark, Tensorflow, MLFlow, & LangChain, etc.
• Bachelor's degree in AI, ML, Computer Science, Statistics, or a related field.
• 5 years of experience in machine learning, data science, data engineering, or software engineering
• Experience in health insurance, population health, or related industry with solid understanding of medical economics.
• Interact with others by effectively communicating, both orally and in writing
• Operate computers and other office equipment requiring the ability to move fingers and hands
• See and read computer monitors and documents
• Remain sitting or standing for long periods of time to perform work on a computer, telephone, or other equipment
• May require lifting and transporting objects and office supplies, bending, kneeling and reaching

This is an exempt, full-time position. In addition to the annual salary, to show our commitment to you and assist with your transition, we may offer a sign‑on and relocation bonus when applicable. With this position, you are eligible to participate in the Annual Pay for Performance (AP4P) Plan. This plan enables Intermountain Health to provide leaders with an additional performance compensation opportunity. 40 The hourly range for this position is listed below. Actual hourly rate dependent upon experience.

$By applying for a position with Intermountain, I acknowledge that I will comply with all applicable Intermountain policies and expectations. If applying for a remote or hybrid role, this includes remote work expectations related to confidentiality, information security, work schedules, conflicts of interest, and use of company equipment.

Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

At Intermountain Health, we use the artificial intelligence ("AI") platform, HiredScore to improve your job application experience. HiredScore helps match your skills and experiences to the best jobs for you. While HiredScore assists in reviewing applications, all final decisions are made by Intermountain personnel to ensure fairness. We protect your privacy and follow strict data protection rules.