ML Software Engineer Visa Sponsorship Jobs in Minnesota
Minnesota's ML software engineer job market centers on Minneapolis-Saint Paul, where companies like UnitedHealth Group, Target, and 3M invest heavily in machine learning infrastructure. The Twin Cities' blend of healthcare tech, retail analytics, and financial services creates steady demand for ML engineers, and many of these employers have established visa sponsorship programs for qualified international candidates.
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INTRODUCTION
Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.
We are seeking an AI/ML Engineer with deep expertise in Generative AI technologies to develop and deploy cutting-edge solutions within the Optum Care Strategic Platform (Facets). The ideal candidate will have hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, and frameworks such as LangGraph and LangChain. Strong proficiency in Python along with Software Engineering background using SQL and API development are essential. This role will involve close collaboration with Claims Operations.
You'll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
Primary Responsibilities:
- Be able to understand the Facets Delivery, Client priority and requirements
- Proven Good in adapting & adopting new technology footprints to optimize business solutions using AI Adoption
- Apply a solid understanding of Agentic AI concepts and frameworks such as LangGraph and LangChain to design and implement intelligent, autonomous systems
- Utilize expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Transformer architectures to build scalable and high-performing AI solutions
- Develop sophisticated generative AI algorithms and models to create new data samples, patterns, or content based on existing datasets and user inputs
- Build and maintain robust APIs using frameworks such as FastAPI to enable seamless integration of AI services
- Develop secure, maintainable software using SQL and modern engineering patterns
- Deploy AI/ML solutions in production environments, preferably on cloud platforms like Azure
- Implement machine learning and natural language processing projects from concept to production
- Conduct rigorous model testing, validation, and performance optimization
- Containerize AI/ML projects and implement CI/CD pipelines using tools like GitHub Actions
- Collaborate with stakeholders to preprocess, analyze, and interpret large-scale datasets
- Stay current with emerging trends and advancements in generative AI and ML technologies
- Mentor and lead other engineers to reach their potential
- Ensure code quality and security by identifying and resolving vulnerabilities
- Maintain solid programming practices and standards
- Provide timely updates on tasks to reporting supervisor
- Adherence to the defined SLA Compliance etc
- Provide support and leadership in critical production support issue resolution
- Participate in on-call rotations as scheduled
- Work with team to achieve timely resolution of all production issues meeting or exceeding Service Level Agreements
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:
- Undergraduate degree or equivalent experience
- 3+ years of experience in Python programming
- 2+ years of experience with build, Deploying and manage ML models on cloud platforms such as Microsoft Azure or any other Cloud platform
- 2+ years of Database Design/Programming
- 1+ years of Terraform scripts understanding
- 1+ years of Git action and CI/CD experience needed
Preferred Qualifications:
- 2+ years of software engineering and testing experience in C# / .Net programming language
- Healthcare Claims EDI Experience
- Prompt engineering experience
- Experience leveraging Large Language Models (LLMs)
- Experience working with various AI/ML infrastructure, tools and platforms across the full stack of AI/ML technology
- Experience with the challenges of delivering and monitoring LLM based cloud systems into production
- Proven solid communication skills with the ability to explain complex technical concepts to diverse audiences
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). The salary for this role will range from $98,500 to $176,000 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.

INTRODUCTION
Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.
We are seeking an AI/ML Engineer with deep expertise in Generative AI technologies to develop and deploy cutting-edge solutions within the Optum Care Strategic Platform (Facets). The ideal candidate will have hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, and frameworks such as LangGraph and LangChain. Strong proficiency in Python along with Software Engineering background using SQL and API development are essential. This role will involve close collaboration with Claims Operations.
You'll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
Primary Responsibilities:
- Be able to understand the Facets Delivery, Client priority and requirements
- Proven Good in adapting & adopting new technology footprints to optimize business solutions using AI Adoption
- Apply a solid understanding of Agentic AI concepts and frameworks such as LangGraph and LangChain to design and implement intelligent, autonomous systems
- Utilize expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Transformer architectures to build scalable and high-performing AI solutions
- Develop sophisticated generative AI algorithms and models to create new data samples, patterns, or content based on existing datasets and user inputs
- Build and maintain robust APIs using frameworks such as FastAPI to enable seamless integration of AI services
- Develop secure, maintainable software using SQL and modern engineering patterns
- Deploy AI/ML solutions in production environments, preferably on cloud platforms like Azure
- Implement machine learning and natural language processing projects from concept to production
- Conduct rigorous model testing, validation, and performance optimization
- Containerize AI/ML projects and implement CI/CD pipelines using tools like GitHub Actions
- Collaborate with stakeholders to preprocess, analyze, and interpret large-scale datasets
- Stay current with emerging trends and advancements in generative AI and ML technologies
- Mentor and lead other engineers to reach their potential
- Ensure code quality and security by identifying and resolving vulnerabilities
- Maintain solid programming practices and standards
- Provide timely updates on tasks to reporting supervisor
- Adherence to the defined SLA Compliance etc
- Provide support and leadership in critical production support issue resolution
- Participate in on-call rotations as scheduled
- Work with team to achieve timely resolution of all production issues meeting or exceeding Service Level Agreements
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:
- Undergraduate degree or equivalent experience
- 3+ years of experience in Python programming
- 2+ years of experience with build, Deploying and manage ML models on cloud platforms such as Microsoft Azure or any other Cloud platform
- 2+ years of Database Design/Programming
- 1+ years of Terraform scripts understanding
- 1+ years of Git action and CI/CD experience needed
Preferred Qualifications:
- 2+ years of software engineering and testing experience in C# / .Net programming language
- Healthcare Claims EDI Experience
- Prompt engineering experience
- Experience leveraging Large Language Models (LLMs)
- Experience working with various AI/ML infrastructure, tools and platforms across the full stack of AI/ML technology
- Experience with the challenges of delivering and monitoring LLM based cloud systems into production
- Proven solid communication skills with the ability to explain complex technical concepts to diverse audiences
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). The salary for this role will range from $98,500 to $176,000 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.
ML Software Engineer Job Roles in Minnesota
See all 39+ ML Software Engineer Jobs in Minnesota
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Search ML Software Engineer Jobs in MinnesotaML Software Engineer Jobs in Minnesota: Frequently Asked Questions
Which companies sponsor visas for ML software engineers in Minnesota?
UnitedHealth Group, Target, Best Buy, 3M, and Optum are among the larger Minnesota employers with documented H-1B sponsorship histories for ML and data-focused engineering roles. Mayo Clinic's technology division in Rochester also hires ML engineers. Mid-sized fintech and healthtech startups in the Twin Cities metro occasionally sponsor as well, though at lower volumes than these established names.
Which visa types are most common for ML software engineer roles in Minnesota?
The H-1B is the most common visa category for ML software engineers in Minnesota, given that the role consistently qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, data science, or a related field. Candidates already holding OPT or STEM OPT authorization are also actively hired. The O-1A is an option for those with exceptional research or publication records in machine learning.
Which cities in Minnesota have the most ML software engineer sponsorship jobs?
The Minneapolis-Saint Paul metro area accounts for the vast majority of ML software engineer sponsorship jobs in Minnesota. Minneapolis and its suburbs, particularly Eden Prairie, Minnetonka, and Bloomington, host most of the state's major tech employers. Rochester is a secondary hub, driven by Mayo Clinic and its affiliated technology partners. Remote-friendly roles posted by Minnesota-headquartered companies have also expanded the effective hiring geography.
How to find ml software engineer visa sponsorship jobs in Minnesota?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can search ML software engineer roles in Minnesota without manually screening out employers who don't sponsor. The platform surfaces positions from Minnesota-based companies across healthcare tech, retail analytics, and enterprise software that have active sponsorship programs, saving significant time compared to unfiltered job searches.
Are there any state-specific considerations for ML software engineers pursuing sponsorship in Minnesota?
Minnesota's strong university pipeline, particularly from the University of Minnesota Twin Cities' computer science and data science programs, means employers are familiar with hiring international graduates and navigating OPT-to-H-1B transitions. Healthcare is the dominant industry for ML roles here, so experience with regulated data environments and familiarity with HIPAA-adjacent work can strengthen a candidate's profile with major Minnesota sponsors like UnitedHealth Group and Optum.
What is the prevailing wage for sponsored ml software engineer jobs in Minnesota?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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