Manager, Machine Learning Operations

IMH

. Oversee deployment and monitoring of machine learning products at Select Health .

Posted 10/16/2026full-timeRemote • Utah • United StatesMid-LevelSenior💰 $60 - $92 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in overseeing machine learning operations, integrating solutions into business processes, and leading high-performing teams. Proficient in deploying machine learning products while ensuring adherence to Responsible AI values and industry best practices.

Highest-signal resume keywords

Machine Learning Operations InfrastructureDevOps Best PracticesLeadership SkillsMachine Learning MethodologiesHealthcare Industry Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData EngineeringPythonRSQLSparkTensorFlowMLflowKubernetesDocker

Soft Skills

Excellent CommunicationInterpersonal SkillsTeam MotivationMentoringEmployee Engagement

Tools & Technologies

CI/CDTerraformDatabricks Asset BundlesMicrosoft TeamsGenerative AI

Industry Keywords

Health InsurancePopulation HealthMedical EconomicsAlgorithm GovernanceExplainability Frameworks

Tech Stack

Tools & technologies

CloudCyber SecurityDockerKubernetesPythonSparkSQLTensorflowTerraform

About the role

Key responsibilities & impact

Oversee deployment and monitoring of machine learning products at Select Health
Deliver measurable reductions in healthcare costs and improvements in members' health while improving member experience
Lead and mentor machine learning operations engineers and data engineers
Set the strategic direction for the MLOps technology stack
Manage partnerships across AI/ML engineering, data engineering, software engineering, cybersecurity, cloud operations, and business and technical leadership
Monitor and assess internal and third-party machine learning solutions using Responsible AI values
Execute the AI and ML strategic vision and roadmap
Coordinate machine learning operations and data engineering product development and management
Build and train effective machine learning engineering teams and foster employee engagement
Mentor and coach MLOps engineering leads on team culture and project execution
Manage the machine learning operations project portfolio and ensure timely, quality delivery
Integrate machine learning solutions into enterprise business processes and decisions using algorithm governance, ethics, and explainability frameworks
Track industry trends and apply emerging machine learning practices and technologies
Conduct research initiatives and explore new machine learning methodologies and applications
Recruit, train, and coach machine learning operations personnel

Requirements

What you’ll need

Demonstrated experience delivering and implementing successful machine learning operations infrastructure and solutions
Experience with DevOps best practices, including CI/CD, Docker, Kubernetes, and Git
Experience with Infrastructure-as-Code tools such as Terraform and Databricks Asset Bundles
Strong leadership skills to motivate and guide high-performing teams
Excellent communication and interpersonal skills, including engagement with senior-level stakeholders
Solid understanding of machine learning methodologies, algorithms, frameworks, and agentic systems
Experience with machine learning tools and programming languages such as Python, R, and SQL
Experience with production frameworks including Spark, TensorFlow, MLflow, and LangChain
Bachelor's degree in AI, ML, Computer Science, Statistics, or a related field (preferred)
5 years of experience in machine learning, data science, data engineering, or software engineering (preferred)
Experience deploying Generative AI products into operational workflows (preferred)
Experience in health insurance, population health, or a related industry with understanding of medical economics (preferred)
Ability to work remotely with business travel as needed
Availability for video interviews through Microsoft Teams and potential onsite interviews and meetings

Benefits

Comp & perks

Sign-on bonus when applicable
Relocation bonus when applicable
Annual Pay for Performance (AP4P) Plan
Generous benefits package covering wellness, health, security, connection, and engagement programs
Remote work option
Company equipment and remote-work support under applicable policies