Code and develop software that deploys ML models and algorithms into production
Communicate and present complex analytics results to leadership and stakeholders
Employ AI and ML such as NLP, computer vision, deep learning and speech recognition
Work on less structured, more complex issues and serve as a resource to others
From the employer’s posting
AI/ML Engineers code and develop software that deploys ML models and algorithms into production.
Communicate and present complex analytics results and concepts to leadership and internal stakeholders.
Employ AI and/or ML that may include natural language processing (NLP), natural language understanding (NLU), semantic understanding, intent classification, computer vision, deep learning, and automatic speech recognition (ASR).
Works with less structured, more complex issues Serves as a resource to others
3+ years of experience working with Natural Language processing
3+ years of experience with Deploying and manage ML models on cloud platforms such as Microsoft Azure, AWS, Google Cloud Platform (GCP)
3+ years of experience leveraging cloud-native tools like Azure Machine Learning, AWS SageMaker, GCP AI Platform for model training, deployment, and monitoring
2+ years of experience working with Retrieval-Augmented Generation
Preferred experience
8+ years of AI/ML Engineering experience
Experience with Optical Character Recognition (OCR) for document digitization and data extraction
Experience with Intelligent document processing
Experience working in accordance with Dev/Sec/Ops principles, and familiarity with industry deployment best practices using CI/CD tools, MLOps, LLMOps and infrastructure as code (Jenkins, Docker, Kubernetes, Git etc.)
Qualification wording
3+ years of experience working with Natural Language processing
3+ years of experience with Deploying and manage ML models on cloud platforms such as Microsoft Azure, AWS, Google Cloud Platform (GCP)
3+ years of experience leveraging cloud-native tools like Azure Machine Learning, AWS SageMaker, GCP AI Platform for model training, deployment, and monitoring
2+ years of experience working with Retrieval-Augmented Generation
8+ years of AI/ML Engineering experience
Experience with Optical Character Recognition (OCR) for document digitization and data extraction
Experience with Intelligent document processing
Experience working in accordance with Dev/Sec/Ops principles, and familiarity with industry deployment best practices using CI/CD tools, MLOps, LLMOps and infrastructure as code (Jenkins, Docker, Kubernetes, Git etc.)
Open 6 monthsWe first saw this posting 197 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
Status in our records
Live
First seen by us
May 1, 2026197 days ago
Recorded sightings
224
Last seen by us
Nov 13, 2026
May 1, 2026today
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 197
876
Up longer than most. Similar jobs usually come down between day 8 and day 76.
Well past UnitedHealth Group’s usual: its jobs come down by about day 13.
From 5,460 similar postings that came down, and 942 of UnitedHealth Group’s. Coming down is not always a hire.
UnitedHealth Group is hiring
167 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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
SQL
AWS
Azure
Docker
GCP
Kubernetes
SageMaker
Django
FastAPI
Flask
PyTorch
scikit-learn
TensorFlow
Node.js
Where the posting names them
- Deep experience with additional server-side frameworks and technologies such as FastAPI, Node.js, Flask, Django etc.
- Expert knowledge of Python/SQL and AI/ML libraries (tensorflow/PyTorch/SciKit/Seaborn etc.) Familiarity with telephony systems, including voice processing, speech recognition, and platform integration
- Proven track record of shipping and maintaining production, enterprise scale AI applications and data science products
- 3+ years of experience working with Natural Language processing
- 3+ years of experience with Deploying and manage ML models on cloud platforms such as Microsoft Azure, AWS, Google Cloud Platform (GCP)
- 3+ years of experience leveraging cloud-native tools like Azure Machine Learning, AWS SageMaker, GCP AI Platform for model training, deployment, and monitoring
- 3+ years of experience with Deploying and manage ML models on cloud platforms such as Microsoft Azure, AWS, Google Cloud Platform (GCP)
- 3+ years of experience leveraging cloud-native tools like Azure Machine Learning, AWS SageMaker, GCP AI Platform for model training, deployment, and monitoring
- 2+ years of experience working with Retrieval-Augmented Generation
- Experience with Intelligent document processing
- Experience working in accordance with Dev/Sec/Ops principles, and familiarity with industry deployment best practices using CI/CD tools, MLOps, LLMOps and infrastructure as code (Jenkins, Docker, Kubernetes, Git etc.)
- Deep experience with additional server-side frameworks and technologies such as FastAPI, Node.js, Flask, Django etc.
- Experience working in accordance with Dev/Sec/Ops principles, and familiarity with industry deployment best practices using CI/CD tools, MLOps, LLMOps and infrastructure as code (Jenkins, Docker, Kubernetes, Git etc.)
- Deep experience with additional server-side frameworks and technologies such as FastAPI, Node.js, Flask, Django etc.
- Expert knowledge of Python/SQL and AI/ML libraries (tensorflow/PyTorch/SciKit/Seaborn etc.) Familiarity with telephony systems, including voice processing, speech recognition, and platform integration
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 2 other Senior AI ML Engineer jobs there since May 2026. 2 came down, usually after about 20 days.
This jobUp 197 days so far, first seen May 1
HyderabadCame down after 28 days, first seen May 12
ChennaiCame down after 11 days, first seen May 29
May 1Today
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.
AI/ML Engineers code and develop software that deploys ML models and algorithms into production. Communicate and present complex analytics results and concepts to leadership and internal stakeholders. Employ AI and/or ML that may include natural language processing (NLP), natural language understanding (NLU), semantic understanding, intent classification, computer vision, deep learning, and automatic speech recognition (ASR).Applies deep learning technologies to give computers the capability to visualize, learn and respond to complex situations. May adapt machine learning to areas such as artificial intelligence, robotics and other products that allow users to have an interactive experience. Work with large scale computing frameworks, data analysis systems. Employees in this role are expected to apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis, using both general purpose software and statistical languages. Generally work is self-directed and not prescribed.
Primary Responsibilities:
Works with less structured, more complex issues
Serves as a resource to others
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Required Qualifications:
Undergraduate degree or equivalent experience
3+ years of experience working withNatural Language processing
3+ years of experience withDeployingandmanageML models on cloud platforms such as Microsoft Azure, AWS, Google Cloud Platform (GCP)
3+ years of experienceleveragingcloud-native tools like Azure Machine Learning, AWS SageMaker, GCP AI Platform for model training, deployment, and monitoring
2+ years of experience working withRetrieval-Augmented Generation
Preferred Qualifications:
8+ years of AI/ML Engineering experience
ExperiencewithOptical Character Recognition (OCR)for document digitization and data extraction
ExperiencewithIntelligent document processing
Experience workingin accordance withDev/Sec/Ops principles, and familiarity with industry deployment best practices using CI/CD tools,MLOps,LLMOpsandinfrastructure ascode (Jenkins, Docker, Kubernetes, Git etc.)
Deep experience withadditionalserver-side frameworks and technologies such asFastAPI, Node.js, Flask,Djangoetc.
Expert knowledge of Python/SQL and AI/ML libraries (tensorflow/PyTorch/SciKit/Seaborn etc.) Familiarity withtelephony systems, including voice processing, speech recognition, and platform integration
Proven solid computer sciencefundamentsin data structures, algorithms, automated testing, object-oriented programming, performance complexity, and implications of computer architecture on software performance
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.