Machine Learning Operations (MLOps) Intern

IMH is hiring a Machine Learning Operations (MLOps) Intern in Salt Lake City, UT. Posted November 12, 2026. Applications close November 20, 2026. Checked against the employer's posting on November 13, 2026.

Job Description: Intermountain Health uses industry-leading data science and artificial intelligence to deliver on its 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.

As a Machine Learning Operations Intern, you will work as a member of the Enterprise AI Center of Enablement to deploy and maintain infrastructure for AI products that will create impact for the communities and patients we serve.

We are committed to offering flexible work options where approved and stated in the job posting. However, we are currently not considering candidates who reside or plan to reside in the following states: California, Connecticut, Hawaii, Illinois, Maine, Massachusetts, Minnesota, New York, Pennsylvania, Rhode Island, Virginia, Vermont, Washington.

Please note that a video interview through Microsoft Teams will be required as well as potential onsite interviews and meetings Job Essentials This role helps develop AI and ML solutions as part of the Enterprise AI Center of Enablement.

This is a remote internship. Incumbent will work Monday-Friday, during regular business hours Job Duties • Build and maintain CI/CD pipelines for machine learning models and AI applications using Git and DevOps best practices.

• Deploy and monitor machine learning models on the Unified Enterprise Agentic Architecture (UEAA). • Package models and their dependencies for reproducible deployment (e.

g., MLflow, containers, APIs). • Develop and maintain Infrastructure as Code (e.g., Terraform, Declarative Automation Bundles) to provision and manage ML platform resources.

• Support model deployment and lifecycle management within UEAA. • Implement monitoring for model performance, data drift and system health, and help troubleshoot production issues.

• Optimize SQL queries, Python code and data pipelines for performance, reliability and cost. • Contribute to automated testing and validation of models and pipelines before release.

• Collaborate with data scientists, AI engineers and MLOps engineers, and document processes, code and deployment standards. Skills • Statistical modeling • Machine learning techniques • Python programming • Effective communication • Team collaboration Minimum Qualifications: • Understanding of statistical and machine learning modeling techniques • Experience programming using quantitative, procedural, and statistical programming languages such as Python, SQL, Spark, and Matlab.

• Experience in a role requiring effective verbal, written and interpersonal communication skills. Preferred Qualifications: • Enrolled in a higher education institution with a focus on mathematics, computer science, data science, or other quantitative and technical field.

• Enrolled in a higher education institution with a focus on mathematics, computer science, data science, or other quantitative and technical field • Experience with Git, DevOps and CI/CD • Experience with MLOps platform development and Infrastructure as Code (IaC) • Code optimization experience (i.

e., SQL query tuning, Python optimization, etc.) Location: Key Bank Tower Work City: Salt Lake City Work State: Utah Scheduled Weekly Hours: 40 The hourly range for this position is listed below.

Actual hourly rate dependent upon experience. $21.81 - $32.21 We care about your well-being – mind, body, and spirit – which is why we provide our caregivers a generous benefits package that covers a wide range of programs to foster a sustainable culture of wellness that encompasses living healthy, happy, secure, connected, and engaged.

Learn more about our comprehensive benefits package here . 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.

I further acknowledge that outside employment or activities may not interfere with job responsibilities or create a conflict of interest with Intermountain.

Actual or reasonably perceived conflicts may be grounds for disqualification from consideration or, if hired, corrective action up to and including termination of employment.

Intermountain Health is an equal opportunity employer. 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.

Your information is safe and used only for recruitment. Thank you for considering a career with us and experiencing our AI-enhanced recruitment process.

All positions subject to close without notice.