Machine Learning Visa Sponsorship Jobs in Minnesota
Minnesota's machine learning job market is anchored by major employers like UnitedHealth Group, 3M, Target, and Medtronic, with strong hiring concentrated in the Twin Cities metro. The state's deep ties to healthcare AI, retail analytics, and medical device innovation make it a consistent source of visa sponsorship opportunities for ML engineers and data scientists.
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Get Access To All JobsINTRODUCTION
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.
Machine Learning Job Roles in Minnesota
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Search Machine Learning Jobs in MinnesotaMachine Learning Jobs in Minnesota: Frequently Asked Questions
Which companies sponsor visas for machine learning roles in Minnesota?
UnitedHealth Group and Optum are among the most active sponsors for machine learning roles in Minnesota, particularly for AI applied to healthcare data. Target sponsors ML engineers working on recommendation systems and supply chain optimization. 3M and Medtronic hire for applied ML in manufacturing and medical devices. Mayo Clinic, headquartered in Rochester, also sponsors for clinical AI and research-focused machine learning positions.
Which visa types are most common for machine learning roles in Minnesota?
The H-1B is the most common visa for machine learning professionals in Minnesota, as ML engineer and data scientist roles consistently qualify as specialty occupations requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates with extraordinary ability in AI research may pursue the O-1A. Australians may qualify for the E-3 visa, which follows a similar process to the H-1B but bypasses the lottery.
Which cities in Minnesota have the most machine learning sponsorship jobs?
The Minneapolis-St. Paul metro area accounts for the overwhelming majority of machine learning sponsorship jobs in Minnesota. Minneapolis hosts corporate headquarters for Target, U.S. Bank, and several healthcare and insurance firms with active AI teams. St. Paul adds government-adjacent tech and nonprofit health organizations. Rochester is a secondary hub driven by Mayo Clinic's expanding machine learning and clinical informatics programs.
How to find machine learning visa sponsorship jobs in Minnesota?
Migrate Mate is built specifically for international job seekers and filters machine learning roles in Minnesota by visa sponsorship history, so you're not sorting through listings from employers who don't sponsor. You can search by job title, state, and visa type to surface relevant openings at companies like UnitedHealth Group, Target, and 3M that have documented H-1B sponsorship activity in the state.
Are there any state-specific considerations for machine learning sponsorship jobs in Minnesota?
Minnesota's machine learning hiring is heavily shaped by its healthcare and insurance industries, which means many roles require familiarity with regulated data environments like HIPAA-compliant systems. The University of Minnesota produces a significant pipeline of ML talent, which means employer expectations around graduate credentials are high. Prevailing wage requirements for H-1B petitions are tied to the Minneapolis-St. Paul metropolitan statistical area for most roles, so location within the metro matters for employer wage compliance.
What is the prevailing wage for sponsored machine learning 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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