Sr. AI/ML Engineer - Remote

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

Benefits offered by this job

Remote work option

Competitive salary

Job summary

UnitedHealth Group is seeking a Senior AI/ML Engineer to lead the design, development, and enterprise deployment of advanced machine learning models and generative AI architectures within a healthcare-focused environment.

You will collaborate with software engineers, data scientists, data architects, and clinical leaders to translate complex clinical data into actionable insights, optimize patient care, and improve operational efficiency at scale, with remote work available across the U.S.

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

Responsibilities

• Design, develop, and deploy AI-powered solutions to address complex healthcare challenges with an emphasis on responsible AI use.
• Perform exploratory data analysis (EDA), feature engineering, and statistical modeling on large-scale clinical data.
• Leverage enterprise AI tools and frameworks to streamline engineering workflows and automate tasks.
• Build, optimize, and maintain production-grade ML pipelines for data preprocessing, training, evaluation, and monitoring.
• Architect scalable microservices and APIs to integrate models into enterprise apps and workflows.
• Collaborate with cross-functional teams to translate business objectives into robust, secure solutions.
• Implement MLOps practices for CI/CD, model evaluation, governance, and deployment at scale.

Skills

Python

ML/AI

Data science

EDA

MLOps

CI/CD

Docker

Kubernetes

PyTorch

TensorFlow

Education

Master's or Bachelor's degree

Tools

SageMaker

Azure ML

Vertex AI

Databricks

Spark

Snowflake

Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

The Optum Health Technology team is seeking a Senior AI/ML Engineer with a strong 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.

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
• Experience with distributed data processing systems and analytics platforms such as Apache Spark, Databricks, or Snowflake
• Background in healthcare technology, clinical data standards (FHIR, HL7), or working within highly regulated data compliance environments (HIPAA, HITRUST)
• Proven track record of leveraging modern AI coding tools and automation frameworks to accelerate software and data science delivery

*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 make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

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

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