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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
  • Design and deploy AI-powered solutions that solve business problems

  • Define AI solution architecture and engineering standards

  • Evaluate AI outputs and risks before production deployment

  • Coach engineers on AI engineering best practices

  • Prototype new AI capabilities and identify high-value use cases

From the employer’s posting
Design, develop, and deploy AI-powered solutions that solve business problems
Define AI solution architecture and engineering standards
Evaluate AI outputs and risks before production deployment
Coach software engineers on AI engineering best practices
Prototype new capabilities and identify high-value use cases

What you’ll bring

All qualifications

Core experience

  • 5+ years of software engineering experience with hands-on development
  • 2+ years of AI/ML, generative AI, or data science building production solutions
  • Bachelor's degree in Computer Science, Software Engineering, Data Science, Mathematics, Statistics, or related field
  • Experience taking solutions from proof of concept to enterprise production

Preferred experience

  • Master's degree in AI, machine learning, data science, or related field
Qualification wording
Typically 5+ years of software engineering experience with significant hands-on development responsibilities
Usually 2+ years of direct AI/ML, Generative AI, or data science experience building production solutions
Bachelor's degree in Computer Science, Software Engineering, Data Science, Mathematics, Statistics, or a related technical field
Experience taking solutions from proof of concept through enterprise production deployment
Master's degree in AI, Machine Learning, Data Science, or related disciplines is often preferred for advanced AI roles.
Education & alternatives
- Graduate degree or equivalent experience - Bachelor's degree in Computer Science, Software Engineering, Data Science, Mathematics, Statistics, or a related technical field - Master's degree in AI, Machine Learning, Data Science, or related disciplines is often preferred for advanced AI roles. (Preference varies by team.)
- Bachelor's degree in Computer Science, Software Engineering, Data Science, Mathematics, Statistics, or a related technical field - Master's degree in AI, Machine Learning, Data Science, or related disciplines is often preferred for advanced AI roles. (Preference varies by team.) - Experience- Typically 5+ years of software engineering experience with significant hands-on development responsibilities
Apply at UnitedHealth Group

Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 4, 20261 day ago
Recorded sightings
3
Last seen by us
Nov 6, 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 1

Early. Similar jobs usually come down between day 6 and day 71.

At UnitedHealth Group, jobs usually come down by about day 12.

From 4,607 similar postings that came down, and 843 of UnitedHealth Group’s. Coming down is not always a hire.

UnitedHealth Group is hiring

157 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • ML Engineer hiring is steady
  • Takes jobs down quickly
  • 11% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

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.

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Has UnitedHealth Group posted this job before?

Yes. We’ve followed 4 other Senior AI/ML Engineer jobs there since April 2026. 2 came down, usually after about 19 days. 2 are still up.

  1. Metro ManilaStill up after 192 days, first seen Apr 28
  2. GurugramCame down after 30 days, first seen May 1
  3. MinnetonkaCame down after 7 days, first seen Oct 12
  4. Eden PrairieStill up after 14 days, first seen Oct 23
  5. This jobUp 2 days so far, first seen Nov 4

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 12% over the last 5 weeks compared with the 5 before.

Weekly new ML Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 624, the most 1,094, and the latest week had 870.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 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.

 

Primary Responsibilities:

  • Design and Deliver AI Solutions
    • Design, develop, and deploy AI-powered solutions that solve business problems
    • Build AI-enabled applications, automations, agents, and platforms that can operate at enterprise scale
    • Integrate AI capabilities into existing products and engineering workflows
  • Lead Technical Solution Architecture
    • Define AI solution architecture and engineering standards
    • Drive technical decisions for AI adoption across platforms and applications
    • Ensure solutions are scalable, secure, reliable, and maintainable
    • Leverage GitHub Copilot, M365 Copilot, enterprise LLMs, and approved AI tools
    • Automate repetitive development activities such as coding, testing, documentation, and analysis
    • Drive productivity improvements across engineering teams
  • Build Responsible AI Solutions
    • Apply responsible AI principles, governance, security, privacy, and compliance controls
    • Evaluate AI outputs and risks before production deployment
    • Promote safe and responsible AI usage within the team
  • Mentor and Influence Other Engineers
    • Coach software engineers on AI engineering best practices
    • Share reusable patterns, prompt engineering techniques, and AI development frameworks
    • Help teams evolve from AI User to AI Builder maturity
  • Drive Innovation
    • Evaluate emerging AI technologies and industry trends
    • Prototype new capabilities and identify high-value use cases
    • Translate business opportunities into AI-enabled solutions
  • 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:

  • Graduate degree or equivalent experience
  • Bachelor's degree in Computer Science, Software Engineering, Data Science, Mathematics, Statistics, or a related technical field
  • Master's degree in AI, Machine Learning, Data Science, or related disciplines is often preferred for advanced AI roles. (Preference varies by team.)
  • Experience
    • Typically 5+ years of software engineering experience with significant hands-on development responsibilities
    • Usually 2+ years of direct AI/ML, Generative AI, or data science experience building production solutions
    • Experience taking solutions from proof of concept through enterprise production deployment

 

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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Location & working pattern

Bangalore, Karnataka, India

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