Sr. AI/ML Engineer - Remote

UnitedHealth Group; Richardson (TX); Hybrid; USD 120,000 - 215,000; Full time

Benefits offered by this job

Comprehensive benefits

Incentives & recognition programs

Equity stock purchase

401(k) contribution

Job summary

UnitedHealth Group is seeking a Senior AI/ML Engineer to lead the design, development, and deployment of AI-powered healthcare solutions. You will work with software engineers, data scientists, and clinical leaders to translate clinical data into actionable intelligence and scalable workflows within a secure, enterprise-grade environment.

The role supports remote work from anywhere in the United States, with occasional in-office requirements for certain metro areas.

Qualifications

• 5+ years of software engineering, machine learning engineering, or data science in a production enterprise.
• 3+ years designing, training, evaluating and deploying ML/ DL models in production.
• 3+ years Python and core AI/ML data science libraries (PyTorch, TensorFlow, scikit-learn, Pandas, NumPy, SciPy).
• 2+ years cloud platform infrastructure (AWS, Azure, or GCP) and cloud AI/ML/data services (SageMaker, Azure ML, Vertex AI).
• 2+ years statistical analysis, predictive modeling, hypothesis testing on complex datasets.

Responsibilities

• Design, develop, and deploy AI-powered healthcare solutions with responsible AI.
• Perform EDA, feature engineering, statistical modeling on large clinical datasets.
• Leverage enterprise AI tools to streamline workflows and automate tasks.
• Evaluate AI/ML trends to inform architecture and innovation.
• Build and maintain production-grade ML pipelines and models.
• Architect scalable microservices and APIs to integrate ML into enterprise apps.
• Collaborate with cross-functional teams to translate business objectives into robust solutions.
• Implement MLOps for CI/CD, governance, model tracking, and deployment.

Skills

Software engineering

Machine learning engineering

Python

ML frameworks

Cloud platforms

MLOps

Docker/Kubernetes

Statistical analysis

Education

Master’s or Bachelor’s degree

Tools

SageMaker

Azure ML

Vertex AI

Job description

Improve the lives of others while Caring. Connecting. Growing together.

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care’s most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us in making healthcare work better for everyone through people-led, responsible AI while Caring. Connecting. Growing together.

The Optum Health Technology team is seeking a Senior AI/ML Engineer with a solid data science background to build and scale cutting-edge AI-powered solutions that transform value-based care delivery. In this role, you will lead the design, development, statistical analysis, and enterprise deployment of machine learning models, generative AI architectures, predictive analytics, and intelligent automations that directly improve patient health outcomes and operational efficiency. You will collaborate closely with software engineers, data scientists, data architects, product managers, and clinical leaders to translate complex clinical data into actionable intelligence, streamline healthcare workflows, empower clinical decision-making, and deliver scalable value across the care continuum.

You’ll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

Primary Responsibilities:

• Design, develop, and deploy AI-powered solutions to address complex healthcare challenges with an emphasis on the responsible and ethical use of AI
• Perform exploratory data analysis (EDA), feature engineering, statistical modeling, and hypothesis testing on large-scale clinical and healthcare datasets
• Leverage enterprise-approved AI tools and frameworks to streamline engineering workflows, automate repetitive tasks, and drive continuous process improvement
• Evaluate emerging AI/ML trends, foundational models, statistical techniques, and technical tools to inform architectural solution design and strategic innovation
• Build, optimize, and maintain production-grade machine learning pipelines and predictive models for data preprocessing, model training, evaluation, and monitoring
• Architect scalable microservices and APIs to integrate machine learning models and data science capabilities seamlessly into enterprise applications and clinical workflows
• Collaborate with cross-functional technical, data, and clinical teams to translate high-level business objectives into robust, secure, and performant solutions
• Implement MLOps best practices to ensure continuous integration, automated model evaluation, governance, model tracking, and reliable deployment at enterprise scale

You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

• 5+ years of software engineering, machine learning engineering, or data science experience in a production enterprise environment
• 3+ years of hands‑on experience designing, statistical modeling, training, evaluating, and deploying machine learning or deep learning models in production
• 3+ years of proficiency with Python and core AI/ML and data science libraries (e.g., PyTorch, TensorFlow, scikit-learn, Pandas, NumPy, SciPy)
• 2+ years of experience with cloud platform infrastructure (AWS, Azure, or GCP) and cloud‑native AI/ML/data services (e.g., SageMaker, Azure ML, Vertex AI)
• 2+ years of experience in statistical analysis, predictive modeling, hypothesis testing, and advanced data manipulation on complex datasets
• 2+ years of experience implementing MLOps, CI/CD pipelines, containerization (Docker, Kubernetes), and model monitoring/governance frameworks

Preferred Qualifications:

• Master’s or Bachelor’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related quantitative field
• Experience working with Large Language Models (LLMs), Generative AI architectures, prompt engineering, and Retrieval-Augmented Generation (RAG) frameworks
• Proven track record of leveraging modern AI coding tools and automation frameworks to accelerate software and data science delivery
• Background in healthcare technology, clinical data standards (FHIR, HL7), or working within highly regulated data compliance environments (HIPAA, HITRUST)
• Experience with distributed data processing systems and analytics platforms such as Apache Spark, Databricks, or Snowflake

*All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy.

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you’ll find a far-reaching choice of benefits and incentives. The salary for this role will range from $120,100 - $214,500 annually based on full-time employment. We comply with all minimum wage laws as applicable.

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

At UnitedHealth Group, our mission is to help people live healthier lives and help make the health system work better for everyone. Together, we are shaping the future of healthcare by harnessing technology and innovation to make care simpler to navigate, more affordable and more connected for the people we serve. We are committed to creating an inclusive workplace where everyone feels welcomed, valued, heard and respected, empowering people to bring their authentic selves to work and strengthening our collective impact through diverse talents, backgrounds, experiences and perspectives.

UnitedHealth Group and its affiliated brands are an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

UnitedHealth Group and its affiliated brands are a drug‑free workplace. Candidates are required to pass a drug test before beginning employment.

UnitedHealth Group is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need special assistance or accommodation for any part of the application process, please call 1‑866‑566‑8715 to be connected to Recruitment Services. Recruitment Services hours of operation are 7 a.m. to 7 p.m. CT, Monday through Friday.

UnitedHealth Group is a registered service mark of UnitedHealth Group, Inc. The UnitedHealth Group name with the dimensional logo, as well as the dimensional logo alone, are both service marks for the UnitedHealth Group, Inc.

Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.

UnitedHealth Group is a drug‑free workplace. Candidates are required to pass a drug test before beginning employment.