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Senior AI ML Engineer

Pay
Pay not listed
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • 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

What you’ll bring

All qualifications

Core experience

  • 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.)
Apply at UnitedHealth Group

Posting record

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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

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

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.

  • ML Engineer hiring is steady
  • Takes jobs down quickly
  • 10% of open jobs were reposted
Hiring record

See how this role fits your experience

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

Your next step

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.

Already applied? Track this application

Has UnitedHealth Group posted this job before?

Yes. We’ve followed 2 other Senior AI ML Engineer jobs there since May 2026. 2 came down, usually after about 20 days.

  1. This jobUp 197 days so far, first seen May 1
  2. HyderabadCame down after 28 days, first seen May 12
  3. ChennaiCame down after 11 days, first seen May 29

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.

Weekly new ML Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 612, the most 1,081, and the latest week had 1,068.
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.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

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 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 Qualifications:

  • 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.)  
  • 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
  • Proven solid computer science fundaments in 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.

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Noida, Uttar Pradesh

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