Machine Learning Engineer Visa Sponsorship Jobs in Minnesota
Minnesota's machine learning engineer job market is anchored by major employers like UnitedHealth Group, 3M, Target, and Cargill, all of which have established records of sponsoring work visas for technical talent. The Twin Cities metro, particularly Minneapolis and Saint Paul, concentrates most opportunities, with a growing research pipeline from the University of Minnesota.
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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 a Senior AI/ML Software Engineer to build AI-powered data products and modern digital experiences across our analytics and healthcare platforms. This is a hands-on full-stack engineering role focused on developing intelligent applications for Compass reporting and the Quality & Patient Safety (QPS) platform. The individual will be responsible for building frontend experiences, backend services, AI/ML capabilities, and cloud-native data solutions that enable self-service analytics, operational insights, and quality improvement initiatives.
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:
- Design, develop, and deploy AI/ML and Generative AI solutions using LLMs, RAG, agents, and modern AI frameworks
- Build scalable full-stack applications using React, TypeScript, JavaScript, Java/Spring Boot, Python, REST APIs, and SQL
- Develop intuitive user experiences, dashboards, reporting solutions, and AI-enabled workflows
- Build and enhance self-service analytics, reporting, and data exploration capabilities
- Develop applications supporting quality, patient safety, benchmarking, insights, action management, and workflow automation
- Integrate applications with enterprise data platforms and cloud-native data ecosystems
- Design and implement microservices, APIs, data models, and event-driven architectures
- Apply engineering best practices including CI/CD, automated testing, observability, security, and performance optimization
- Collaborate with product, analytics, business, and platform teams to deliver high-quality solutions
- Provide technical leadership, mentor engineers, and contribute to architecture and technology decisions
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:
- Bachelor's in Computer Science, Engineering, AI/ML, Data Science, related field, or the equivalent experience
- 6+ years of hands-on software engineering experience building enterprise-scale applications
- 4+ years of hands-on experience in React, TypeScript, JavaScript, Java/Spring Boot, Python, REST APIs, and SQL
- 1+ years of experience in designing, developing, and deploying AI/ML and Generative AI solutions in production environments
- 2+ years of experience with LLMs, RAG architectures, vector databases, prompt engineering, AI agents, and AI application development
- 4+ years of experience building cloud-native applications on Azure, AWS, or GCP
- 3+ years of experience with modern data platforms such as Snowflake, Databricks, or Microsoft Fabric
- 4+ years of experience with microservices, distributed systems, CI/CD, automated testing, observability, and software engineering best practices
- Excellent problem-solving, communication, and collaboration skills
PREFERRED QUALIFICATIONS:
- Experience in healthcare, analytics, quality, patient safety, or reporting domains
- Experience with Apache Superset, Power BI, embedded analytics, or self-service BI platforms
- Experience with LangChain, Semantic Kernel, OpenAI, Azure AI Services, or similar AI frameworks
- Experience leading technical initiatives and mentoring engineers
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). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $120,100 - $214,500 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 a Senior AI/ML Software Engineer to build AI-powered data products and modern digital experiences across our analytics and healthcare platforms. This is a hands-on full-stack engineering role focused on developing intelligent applications for Compass reporting and the Quality & Patient Safety (QPS) platform. The individual will be responsible for building frontend experiences, backend services, AI/ML capabilities, and cloud-native data solutions that enable self-service analytics, operational insights, and quality improvement initiatives.
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:
- Design, develop, and deploy AI/ML and Generative AI solutions using LLMs, RAG, agents, and modern AI frameworks
- Build scalable full-stack applications using React, TypeScript, JavaScript, Java/Spring Boot, Python, REST APIs, and SQL
- Develop intuitive user experiences, dashboards, reporting solutions, and AI-enabled workflows
- Build and enhance self-service analytics, reporting, and data exploration capabilities
- Develop applications supporting quality, patient safety, benchmarking, insights, action management, and workflow automation
- Integrate applications with enterprise data platforms and cloud-native data ecosystems
- Design and implement microservices, APIs, data models, and event-driven architectures
- Apply engineering best practices including CI/CD, automated testing, observability, security, and performance optimization
- Collaborate with product, analytics, business, and platform teams to deliver high-quality solutions
- Provide technical leadership, mentor engineers, and contribute to architecture and technology decisions
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:
- Bachelor's in Computer Science, Engineering, AI/ML, Data Science, related field, or the equivalent experience
- 6+ years of hands-on software engineering experience building enterprise-scale applications
- 4+ years of hands-on experience in React, TypeScript, JavaScript, Java/Spring Boot, Python, REST APIs, and SQL
- 1+ years of experience in designing, developing, and deploying AI/ML and Generative AI solutions in production environments
- 2+ years of experience with LLMs, RAG architectures, vector databases, prompt engineering, AI agents, and AI application development
- 4+ years of experience building cloud-native applications on Azure, AWS, or GCP
- 3+ years of experience with modern data platforms such as Snowflake, Databricks, or Microsoft Fabric
- 4+ years of experience with microservices, distributed systems, CI/CD, automated testing, observability, and software engineering best practices
- Excellent problem-solving, communication, and collaboration skills
PREFERRED QUALIFICATIONS:
- Experience in healthcare, analytics, quality, patient safety, or reporting domains
- Experience with Apache Superset, Power BI, embedded analytics, or self-service BI platforms
- Experience with LangChain, Semantic Kernel, OpenAI, Azure AI Services, or similar AI frameworks
- Experience leading technical initiatives and mentoring engineers
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). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $120,100 - $214,500 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 Engineer Job Roles in Minnesota
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Search Machine Learning Engineer Jobs in MinnesotaMachine Learning Engineer Jobs in Minnesota: Frequently Asked Questions
Which companies sponsor visas for machine learning engineers in Minnesota?
UnitedHealth Group, 3M, Target, Cargill, and Medtronic are among the largest Minnesota-based employers with histories of sponsoring H-1B visas for machine learning and data science roles. Several mid-size fintech and healthtech companies in the Twin Cities metro also file sponsorship petitions regularly. Reviewing Department of Labor LCA disclosure data for Minnesota employers is a reliable way to identify active sponsors.
Which visa types are most common for machine learning engineer roles in Minnesota?
The H-1B is by far the most common visa category for machine learning engineers in Minnesota, given that the role typically requires a bachelor's degree or higher in computer science, statistics, or a related field, satisfying the specialty occupation standard. Candidates from Canada or Mexico may qualify for TN visa status under the USMCA. Those with extraordinary ability in AI or ML research may explore the O-1A category.
Which cities in Minnesota have the most machine learning engineer sponsorship jobs?
The Minneapolis-Saint Paul metro accounts for the vast majority of machine learning engineer sponsorship activity in Minnesota. Minneapolis hosts corporate headquarters and tech offices for major employers, while Saint Paul adds additional enterprise and government-adjacent roles. Rochester has a smaller but notable presence driven by Mayo Clinic, which hires ML engineers for healthcare AI research and has a history of sponsoring technical talent.
How to find machine learning engineer visa sponsorship jobs in Minnesota?
Migrate Mate is built specifically for international job seekers and filters machine learning engineer roles in Minnesota by visa sponsorship history, so you can focus on employers who have filed petitions before rather than guessing. Because sponsorship willingness varies widely even within the same industry, using a platform that surfaces verified sponsoring employers for ML roles in Minnesota saves significant time during your search.
Are there any Minnesota-specific factors machine learning engineers should know about when seeking visa sponsorship?
Minnesota's strongest sponsoring industries for ML engineers are healthcare technology, retail analytics, and agriculture technology, reflecting the state's anchor employers. The University of Minnesota produces a significant pipeline of ML talent, which means competition for local roles can be high. Employers must meet Department of Labor prevailing wage requirements when sponsoring, and those wages are benchmarked to the Minneapolis-Saint Paul metropolitan area for most positions, which reflects a high-cost professional market.
What is the prevailing wage for sponsored machine learning 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.