ML Engineer Visa Sponsorship Jobs in Minnesota
ML engineer visa sponsorship jobs in Minnesota are concentrated in the Twin Cities, where companies like UnitedHealth Group, 3M, and Optum run active machine learning teams. The state's healthcare technology sector and growing fintech scene create steady demand for ML talent, with the University of Minnesota supplying a strong pipeline of international candidates.
See All ML Engineer JobsOverview
Showing 5 of 41+ ML Engineer Jobs in Minnesota with Visa Sponsorship jobs


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?
See all 41+ ML Engineer Jobs in Minnesota with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new ML Engineer Jobs in Minnesota with Visa Sponsorship.
Get Access To All Jobs
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 Engineer Job Roles in Minnesota
See all 41+ ML Engineer Jobs in Minnesota
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search ML Engineer Jobs in MinnesotaML Engineer Jobs in Minnesota: Frequently Asked Questions
Which companies in Minnesota sponsor visas for ML engineers?
UnitedHealth Group, Optum, and 3M are among the most active sponsors for ML engineer roles in Minnesota, given their large data science divisions. Medtronic and Target have also filed H-1B petitions for machine learning positions. Smaller AI-focused startups in the Minneapolis-St. Paul metro round out the hiring picture, though their sponsorship capacity varies significantly by size and funding stage.
Which visa types are most common for ML engineer roles in Minnesota?
The H-1B is the most common visa category for ML engineers in Minnesota, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, or a related field. Some candidates enter through OPT or STEM OPT extensions after graduating from programs at the University of Minnesota. L-1B visas occasionally apply for ML engineers transferring within multinational companies like 3M.
Which cities in Minnesota have the most ML engineer visa sponsorship jobs?
The Minneapolis-St. Paul metropolitan area accounts for the overwhelming majority of ML engineer sponsorship opportunities in Minnesota. Minneapolis and its suburb Minnetonka host major employer campuses including UnitedHealth Group and Medtronic. Rochester, home to IBM and Mayo Clinic, is a secondary hub with meaningful demand for applied machine learning talent in healthcare and research contexts.
How to find ml engineer visa sponsorship jobs in Minnesota?
Migrate Mate is designed specifically for this search, letting you filter ML engineer roles in Minnesota by visa sponsorship availability. This saves time compared to manually screening postings that never mention sponsorship. Minnesota's healthcare and retail tech sectors post regularly, so checking Migrate Mate consistently as new roles come through is the most practical approach for international candidates targeting this state.
Are there state-specific considerations for ML engineers seeking sponsorship in Minnesota?
Minnesota's prevailing wage requirements for H-1B petitions are set at the federal level but benchmarked to Minneapolis-St. Paul metro data, which reflects a competitive technology market. The University of Minnesota produces a notable share of ML talent through its computer science and data science programs, meaning employers in the state are accustomed to working with OPT and STEM OPT candidates before transitioning them to H-1B sponsorship.
What is the prevailing wage for sponsored ml 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.
See which ml engineer employers are hiring and sponsoring visas in Minnesota right now.
Search ML Engineer Jobs in Minnesota