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.
Find Machine Learning Engineer JobsOverview
Showing 5 of 35+ Machine Learning Engineer Jobs in Minnesota with Visa Sponsorship
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 35+ Machine Learning Engineer Jobs in Minnesota with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Machine Learning Engineer Jobs in Minnesota with Visa Sponsorship.
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.
ROLE AND RESPONSIBILITIES
As a Lead AI/ML Engineer within the Consumer Engineering division of the Chief Digital Office (CDO), you will play a critical role in shaping the future of our digital health platforms. This role is designed for a high-performing engineer with strong software fundamentals and a deep passion for building production-ready, scalable AI services. You will focus on the practical application of Generative AI techniques, designing end-to-end solutions that integrate seamlessly into our enterprise ecosystem. By leveraging modern data platforms and cloud-native architectures, you will help bridge the gap between complex machine learning research and reliable, consumer-facing applications that improve the lives of those we serve.
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:
- Lead the design, development, and deployment of complex AI-powered solutions to address enterprise-level business challenges, with a focus on responsible AI practices
- Provide technical leadership and architectural guidance to engineering teams building and operating machine-learning models in production environments
- Use enterprise-approved AI tools to streamline workflows, automate tasks, and foster a culture of continuous improvement and strategic innovation
- Architect and implement scalable AI services, APIs, and pipelines, ensuring they meet rigorous enterprise standards for reliability and performance
- Evaluate emerging AI/ML trends and technologies to inform strategic solution design and lead technical innovation across the organization
- Establish and mature MLOps practices, including enterprise-grade CI/CD, comprehensive monitoring, and versioning for AI assets
- Design and implement sophisticated AI techniques (e.g., NLP, deep learning, predictive modeling) integrated with large-scale data and distributed compute platforms
- Ensure all AI solutions strictly adhere to security, privacy, and regulatory standards, upholding the highest principles of responsible AI within a healthcare context
- Mentor junior and mid-level engineers, providing code reviews and technical guidance to grow team capabilities
- Partner with senior leadership, product managers, and data scientists to align AI initiatives with long-term business goals
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.
BASIC QUALIFICATIONS
- Bachelor's degree or equivalent experience
- 8+ years of professional software engineering experience delivering high-quality, production-grade commercial applications
- 4+ years of AI/ML engineering experience, including designing and deploying models at scale
- 2+ years of experience in a technical lead or architectural role, providing guidance to engineering teams
- 5+ years of hands-on experience with Python, Java, and SQL
- 2+ years of experience with cloud-native architectures (specifically AWS, Azure, or GCP)
- 2+ years of experience with Databricks, PySpark, and large-scale data pipeline implementation
- Experience with containerization (Docker/Kubernetes) and building/maintaining enterprise-grade CI/CD pipelines
PREFERRED QUALIFICATIONS
- Expertise in Generative AI solutions, specifically utilizing RAG, LangChain, and Vector Databases
- Experience with big data technologies such as Spark, Hadoop, and Kafka
- Solid knowledge of Infrastructure as Code (Terraform or CloudFormation)
- Experience with data governance and platform-level controls (e.g., Unity Catalog, Delta Lake)
- Solid foundation in data science principles, including statistics, probability theory, and optimization
- Ability to communicate complex technical concepts to non-technical stakeholders and senior leadership
*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.
COMPENSATION
- Salary Range: $112,700 to $193,200 annually based on full-time employment
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.
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.
ROLE AND RESPONSIBILITIES
As a Lead AI/ML Engineer within the Consumer Engineering division of the Chief Digital Office (CDO), you will play a critical role in shaping the future of our digital health platforms. This role is designed for a high-performing engineer with strong software fundamentals and a deep passion for building production-ready, scalable AI services. You will focus on the practical application of Generative AI techniques, designing end-to-end solutions that integrate seamlessly into our enterprise ecosystem. By leveraging modern data platforms and cloud-native architectures, you will help bridge the gap between complex machine learning research and reliable, consumer-facing applications that improve the lives of those we serve.
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:
- Lead the design, development, and deployment of complex AI-powered solutions to address enterprise-level business challenges, with a focus on responsible AI practices
- Provide technical leadership and architectural guidance to engineering teams building and operating machine-learning models in production environments
- Use enterprise-approved AI tools to streamline workflows, automate tasks, and foster a culture of continuous improvement and strategic innovation
- Architect and implement scalable AI services, APIs, and pipelines, ensuring they meet rigorous enterprise standards for reliability and performance
- Evaluate emerging AI/ML trends and technologies to inform strategic solution design and lead technical innovation across the organization
- Establish and mature MLOps practices, including enterprise-grade CI/CD, comprehensive monitoring, and versioning for AI assets
- Design and implement sophisticated AI techniques (e.g., NLP, deep learning, predictive modeling) integrated with large-scale data and distributed compute platforms
- Ensure all AI solutions strictly adhere to security, privacy, and regulatory standards, upholding the highest principles of responsible AI within a healthcare context
- Mentor junior and mid-level engineers, providing code reviews and technical guidance to grow team capabilities
- Partner with senior leadership, product managers, and data scientists to align AI initiatives with long-term business goals
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.
BASIC QUALIFICATIONS
- Bachelor's degree or equivalent experience
- 8+ years of professional software engineering experience delivering high-quality, production-grade commercial applications
- 4+ years of AI/ML engineering experience, including designing and deploying models at scale
- 2+ years of experience in a technical lead or architectural role, providing guidance to engineering teams
- 5+ years of hands-on experience with Python, Java, and SQL
- 2+ years of experience with cloud-native architectures (specifically AWS, Azure, or GCP)
- 2+ years of experience with Databricks, PySpark, and large-scale data pipeline implementation
- Experience with containerization (Docker/Kubernetes) and building/maintaining enterprise-grade CI/CD pipelines
PREFERRED QUALIFICATIONS
- Expertise in Generative AI solutions, specifically utilizing RAG, LangChain, and Vector Databases
- Experience with big data technologies such as Spark, Hadoop, and Kafka
- Solid knowledge of Infrastructure as Code (Terraform or CloudFormation)
- Experience with data governance and platform-level controls (e.g., Unity Catalog, Delta Lake)
- Solid foundation in data science principles, including statistics, probability theory, and optimization
- Ability to communicate complex technical concepts to non-technical stakeholders and senior leadership
*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.
COMPENSATION
- Salary Range: $112,700 to $193,200 annually based on full-time employment
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.
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
See all 35+ Machine Learning Engineer Jobs in Minnesota
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
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.