Design and develop AI solutions using ML, deep learning and generative AI
Build LLM applications with RAG, vector databases and agent architectures
Develop NLP solutions for classification, summarization, extraction and search
Evaluate, benchmark and fine-tune foundation models
Implement Responsible AI for scalability, security, explainability and reliability
From the employer’s posting
Design and develop AI solutions leveraging traditional Machine Learning, Deep Learning, and Generative AI technologies
Build applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, prompt engineering, and agent-based architectures
Develop and optimize NLP solutions for text classification, summarization, information extraction, semantic search, and conversational AI use cases
Evaluate, benchmark, and fine-tune foundation models using industry-standard frameworks and performance metrics
Implement Responsible AI principles, ensuring solutions meet requirements for scalability, security, explain ability, and reliability
Master's degree in computer science, Engineering, Mathematics, Statistics, or a related discipline
10+ years of experience in Software Engineering, Data Science, or Analytics, with 8+ years in AI/ML engineering or related fields and the last 3+ years focused on Generative AI technologies including OpenAI, Claude, Gemini, LangChain, Agents, RAG, Vector Databases, Prompt Engineering, and fine-tuning
Experience with AI/ML frameworks and tools such as MLFlow, TensorFlow, PyTorch, Keras, and Scikit-learn
Experience with cloud platforms such as AWS, Azure, and GCP
Experience with DevOps and CI/CD tools and practices including Git, Jenkins, Docker, and Kubernetes
Hands-on experience in AI and driving the development of innovative AI and machine learning solutions
Qualification wording
Master's degree in computer science, Engineering, Mathematics, Statistics, or a related discipline
10+ years of experience in Software Engineering, Data Science, or Analytics, with 8+ years in AI/ML engineering or related fields and the last 3+ years focused on Generative AI technologies including OpenAI, Claude, Gemini, LangChain, Agents, RAG, Vector Databases, Prompt Engineering, and fine-tuning
Experience with AI/ML frameworks and tools such as MLFlow, TensorFlow, PyTorch, Keras, and Scikit-learn
Experience with cloud platforms such as AWS, Azure, and GCP
Experience with DevOps and CI/CD tools and practices including Git, Jenkins, Docker, and Kubernetes
Hands-on experience in AI and driving the development of innovative AI and machine learning solutions
Education & alternatives
Required Qualifications:
- Master's degree in computer science, Engineering, Mathematics, Statistics, or a related discipline
- 10+ years of experience in Software Engineering, Data Science, or Analytics, with 8+ years in AI/ML engineering or related fields and the last 3+ years focused on Generative AI technologies including OpenAI, Claude, Gemini, LangChain, Agents, RAG, Vector Databases, Prompt Engineering, and fine-tuning
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Python
AWS
Azure
Docker
GCP
Kubernetes
MLflow
Keras
PyTorch
scikit-learn
TensorFlow
Where the posting names them
- Hands-on experience in AI and driving the development of innovative AI and machine learning solutions
- Proficiency in Python or other programming languages for data analysis and AI/ML development
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.
- Experience with AI/ML frameworks and tools such as MLFlow, TensorFlow, PyTorch, Keras, and Scikit-learn
- Experience with cloud platforms such as AWS, Azure, and GCP
- Experience with DevOps and CI/CD tools and practices including Git, Jenkins, Docker, and Kubernetes
- Experience with cloud platforms such as AWS, Azure, and GCP
- Experience with DevOps and CI/CD tools and practices including Git, Jenkins, Docker, and Kubernetes
- Hands-on experience in AI and driving the development of innovative AI and machine learning solutions
- 10+ years of experience in Software Engineering, Data Science, or Analytics, with 8+ years in AI/ML engineering or related fields and the last 3+ years focused on Generative AI technologies including OpenAI, Claude, Gemini, LangChain, Agents, RAG, Vector Databases, Prompt Engineering, and fine-tuning
- Experience with AI/ML frameworks and tools such as MLFlow, TensorFlow, PyTorch, Keras, and Scikit-learn
- Experience with cloud platforms such as AWS, Azure, and GCP
Complete your application on careers.unitedhealthgroup.com. The employer’s form will show what is required.
Applying through Radancy (TalentBrew)
Radancy (TalentBrew) runs the employer’s careers site, but the application itself usually runs on another system, often Workday or Taleo. The advice for that system applies once you click Apply.
Yes. We’ve followed 12 other Senior AI/ML Engineer jobs there since August 2026. All 12 are still up.
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Sep 22Today
Large employers often post one title for several teams, so these can be separate openings.
About UnitedHealth Group
People
About 390,000 in 2025, down 2% from the year before.Annual report (SEC Form 10-K)
Company
Listed as UNH.
H-1B visas
11 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 10% over the last 6 weeks compared with the 6 before.
August 17Last week
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
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.
Primary Responsibilities:
Design and develop AI solutions leveraging traditional Machine Learning, Deep Learning, and Generative AI technologies
Build applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, prompt engineering, and agent-based architectures
Develop and optimize NLP solutions for text classification, summarization, information extraction, semantic search, and conversational AI use cases
Evaluate, benchmark, and fine-tune foundation models using industry-standard frameworks and performance metrics
Implement Responsible AI principles, ensuring solutions meet requirements for scalability, security, explain ability, and reliability
Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements
Required Qualifications:
Master's degree in computer science, Engineering, Mathematics, Statistics, or a related discipline
10+ years of experience in Software Engineering, Data Science, or Analytics, with 8+ years in AI/ML engineering or related fields and the last 3+ years focused on Generative AI technologies including OpenAI, Claude, Gemini, LangChain, Agents, RAG, Vector Databases, Prompt Engineering, and fine-tuning
Experience with AI/ML frameworks and tools such as MLFlow, TensorFlow, PyTorch, Keras, and Scikit-learn
Experience with cloud platforms such as AWS, Azure, and GCP
Experience with DevOps and CI/CD tools and practices including Git, Jenkins, Docker, and Kubernetes
Hands-on experience in AI and driving the development of innovative AI and machine learning solutions
Proficiency in Python or other programming languages for data analysis and AI/ML development
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.