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.
Find ML Engineer JobsOverview
Showing 5 of 26+ ML 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 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 JobsINTRODUCTION
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
ROLE AND RESPONSIBILITIES
As a Sr AI/ML Engineer within the Growth Office - Modernization & AI Acceleration, you will design, develop, and deploy machine learning and Generative AI solutions on a scalable, cloud-based environment that accelerates AI adoption across the organization.
You will partner closely with engineering, data science, product, and business stakeholders to translate strategic initiatives into secure, high-performance AI solutions. This role combines hands-on AI/ML engineering, model development, and AI solution enablement to deliver meaningful business outcomes.
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 in a cloud-based environment with a focus on scalability, reliability, performance, and security
- Build, fine-tune, evaluate, and operationalize machine learning and LLM-based models for production use cases
- Collaborate with business and technical stakeholders to understand requirements and translate them into robust AI-driven technical solutions
- Contribute to AI architecture and technical design, including model selection, data pipelines, MLOps tooling, and integration patterns
- Develop and maintain reusable AI components, prompt patterns, RAG pipelines, and agentic workflows
- Apply responsible AI practices including bias, fairness, privacy, and model evaluation throughout the lifecycle
- Partner with cross-functional teams including data scientists, software engineers, product managers, and UI/UX designers
- Establish and maintain coding standards, ML best practices, and quality assurance processes
- Conduct code and model reviews, provide constructive feedback, and share knowledge with peers
- Monitor and optimize AI solution performance, cost, latency, and resource utilization in production
- Collaborate with DevOps, MLOps, and infrastructure teams to ensure secure, scalable deployment and operations
- Stay current with advancements in AI/ML frameworks, Generative AI, and cloud technologies
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
- 4+ years of experience as a software, AI/ML, or data engineer delivering cloud-based solutions
- 3+ years of experience building and deploying machine learning, deep learning, or Generative AI solutions
- 3+ years of programming experience in Python (additional experience in Golang, JavaScript, or Java)
- 2+ years of experience with cloud platforms such as Azure, AWS, or Google Cloud
- 1+ years of experience with security and compliance in cloud environments
- Experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, or Hugging Face Transformers
- Experience building distributed systems and cloud-native applications
PREFERRED QUALIFICATIONS
- Hands-on experience with Generative AI, LLM-based solutions, RAG architectures, and agentic frameworks (e.g., LangChain, LlamaIndex)
- Experience with MLOps tooling such as MLflow, Kubeflow, SageMaker, Azure ML, or Vertex AI
- Experience with vector databases (e.g., Pinecone, Weaviate, FAISS, pgvector) and embedding models
- Demonstrated familiarity with model evaluation, prompt engineering, fine-tuning, and responsible AI practices
- Demonstrated familiarity with DevOps, CI/CD pipelines, containerization (Docker, Kubernetes), and cloud monitoring tools
- Proven solid problem-solving and analytical skills with the ability to propose innovative AI solutions
- Proven excellent communication and collaboration skills across technical and non-technical teams
- Demonstrated passion for continuous learning in AI/ML and cloud technologies
All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.
COMPENSATION
- Salary Range: $120,100 to $214,500 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. 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 is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
ROLE AND RESPONSIBILITIES
As a Sr AI/ML Engineer within the Growth Office - Modernization & AI Acceleration, you will design, develop, and deploy machine learning and Generative AI solutions on a scalable, cloud-based environment that accelerates AI adoption across the organization.
You will partner closely with engineering, data science, product, and business stakeholders to translate strategic initiatives into secure, high-performance AI solutions. This role combines hands-on AI/ML engineering, model development, and AI solution enablement to deliver meaningful business outcomes.
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 in a cloud-based environment with a focus on scalability, reliability, performance, and security
- Build, fine-tune, evaluate, and operationalize machine learning and LLM-based models for production use cases
- Collaborate with business and technical stakeholders to understand requirements and translate them into robust AI-driven technical solutions
- Contribute to AI architecture and technical design, including model selection, data pipelines, MLOps tooling, and integration patterns
- Develop and maintain reusable AI components, prompt patterns, RAG pipelines, and agentic workflows
- Apply responsible AI practices including bias, fairness, privacy, and model evaluation throughout the lifecycle
- Partner with cross-functional teams including data scientists, software engineers, product managers, and UI/UX designers
- Establish and maintain coding standards, ML best practices, and quality assurance processes
- Conduct code and model reviews, provide constructive feedback, and share knowledge with peers
- Monitor and optimize AI solution performance, cost, latency, and resource utilization in production
- Collaborate with DevOps, MLOps, and infrastructure teams to ensure secure, scalable deployment and operations
- Stay current with advancements in AI/ML frameworks, Generative AI, and cloud technologies
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
- 4+ years of experience as a software, AI/ML, or data engineer delivering cloud-based solutions
- 3+ years of experience building and deploying machine learning, deep learning, or Generative AI solutions
- 3+ years of programming experience in Python (additional experience in Golang, JavaScript, or Java)
- 2+ years of experience with cloud platforms such as Azure, AWS, or Google Cloud
- 1+ years of experience with security and compliance in cloud environments
- Experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, or Hugging Face Transformers
- Experience building distributed systems and cloud-native applications
PREFERRED QUALIFICATIONS
- Hands-on experience with Generative AI, LLM-based solutions, RAG architectures, and agentic frameworks (e.g., LangChain, LlamaIndex)
- Experience with MLOps tooling such as MLflow, Kubeflow, SageMaker, Azure ML, or Vertex AI
- Experience with vector databases (e.g., Pinecone, Weaviate, FAISS, pgvector) and embedding models
- Demonstrated familiarity with model evaluation, prompt engineering, fine-tuning, and responsible AI practices
- Demonstrated familiarity with DevOps, CI/CD pipelines, containerization (Docker, Kubernetes), and cloud monitoring tools
- Proven solid problem-solving and analytical skills with the ability to propose innovative AI solutions
- Proven excellent communication and collaboration skills across technical and non-technical teams
- Demonstrated passion for continuous learning in AI/ML and cloud technologies
All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.
COMPENSATION
- Salary Range: $120,100 to $214,500 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. 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 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 visa 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.