AI ML Engineering Visa Sponsorship Jobs in Wisconsin
Wisconsin's AI and ML engineering market is anchored by Epic Systems in Verona, American Family Insurance in Madison, and a growing cluster of tech employers in the Milwaukee metro. Madison's university research ecosystem and proximity to Chicago make it a regional draw for international talent seeking visa sponsorship in machine learning, NLP, and data-driven product engineering.
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Get Access To All JobsWhat We Do
Milliman IntelliScript is a group of a few hundred experts in fields ranging from actuarial science to information technology to clinical practice. Together, we develop and deploy category-defining, data-driven, software-as-a-service (SaaS) products for a broad spectrum of insurance, health IT and life sciences clients. We are a business unit within Milliman, Inc., a respected consultancy with offices around the world. Candidates who have their pick of jobs are drawn to IntelliScript’s entrepreneurial and collaborative culture of innovation, excellence, exceptional customer service, balance, and transparency. Every single person has a voice in our company, and we challenge each other to push the outer limits of our full, diverse potential. And, we’ve shown sustained growth that ensures you’ll have room to grow your skillset, responsibilities, and career. Our team is smart, down-to-earth, and ready to listen to your best ideas. We reward excellence and offer competitive compensation and benefits. Milliman invests in skills training and career development and gives all employees access to a variety of learning and mentoring opportunities. Our growing number of Milliman Employee Resource Groups (ERGs) are employee-led communities that influence policy decisions, develop future leaders, and amplify the voices of their constituents. We encourage our employees to give back to their varied professions, including leadership in professional organizations.
What This Position Entails
Milliman, Inc. is recognized as a top firm that provides data, products, and professional services to the insurance industry. IntelliScript is a practice within Milliman that provides health and life insurers with real-time data and underwriting decision support tools via software-as-a-service (SaaS). IntelliScript offers an innovative suite of products which interpret and deliver electronic medical data (such as prescription histories, diagnoses, treatment data, etc.) to help our clients make effective underwriting and pricing decisions. Our company offers a unique entrepreneurial culture that also promotes work/life balance. IntelliScript has enjoyed consistent growth and is the leader in the markets we serve. This role will serve as a hands-on individual contributor with a strong emphasis on coding, platform delivery, and technical reviews. You will report to the Manager, AI & Machine Learning Engineering, and play a critical role in advancing our Models as a Service (MAAS) initiative, helping to modernize our AI and machine learning model delivery platform. The role will contribute to complex data science projects requiring ML engineering expertise and knowledge of medical claims and Electronic Health Records (EHR). Leveraging expertise in GenAI, ML engineering, software development, and data science, you will deepen their understanding of current product capabilities and develop innovative solutions—such as advanced summarization and agentic workflows—to enhance them. The Lead AI & Machine Learning Engineer will be responsible for developing, deploying, and industrializing sophisticated GenAI and machine learning solutions for healthcare, insurance and adjacent markets.
Key Responsibilities Include
- ML engineering efforts within the Models-as-a-Service (MAAS) platform, ensuring high-quality and scalable model delivery
- Providing technical guidance, reviews, and mentorship to junior team members
- Collaborating closely with the data science team, MAAS product owner, AI architect, and Manager, AI & Machine Learning Engineering to drive model and feature delivery from ideation through deployment
- Ensuring the success of model-driven products across both technical and operational dimensions
- Hands-on technical contribution to support the growth of MAAS and/or Data Science initiatives
What You Will Be Doing
The key area of responsibility in the role of Lead AI & Machine Learning Engineer is to work as part of our MAAS Team and in conjunction with our data science and product teams, contribute to various aspects of AI & Machine Learning across our practice:
- Lead end-to-end development, deployment, and maintenance of AI infrastructure and applications, from proof-of-concept to production and ongoing maintenance, ensuring seamless integration with IT, Product, and other departments
- Collaborate closely with the Product Owner for Models as a Service, the AI architect, and other stakeholders to align technical and product objectives
- Provide technical proficiency in AI/ML engineering and data science, including selection and optimization of frameworks, libraries, and tools
- Development of MLOps, LLMOps, and AIOps solutions across the organization
- Serve as a ML Engineer with deep expertise in driving innovative product features from concept to commercial reality
- Peer review, audit, and enhance models and code developed by team members to ensure high standards and continual improvement
What We Need
- 10+ years of machine learning engineering, GenAI, and data science experience in one of the following industries: healthcare, insurance, clinical trials, or similar fields
- Experience working with machine learning engineering and data science projects across the full life cycle from identifying customer need, to completing proof of concepts, to model building and validation, to implementation
- Ability to contribute to cross-functional teams
- Expert level knowledge of Python and SQL
- Experience with other programming languages: R, PySpark
- Ability to understand / read other programming languages: C#, Rust
- Expert with cloud-based analytical solutions and distributed computing (Databricks)
- Expert with converting on-premise solutions into cloud ready applications
- Ability to create CI/CD workflows using Github and IaC technology (e.g. Terraform)
- Expert with APIs, AWS Cloud Services and associated services (Lambda, Step Functions, AWS Batch etc..), and git
- Strong programming aptitude (debugging, package design, dependency management, testing)
- Understand how to build and design varying inference solutions (single and batch scoring)
What You Bring To The Table
- Excellent communication skills, in person and through phone / email
- Ability to understand and translate technical specs or model results in communication with clients and IntelliScript Lead management
- Proven ability to understand client analytical needs, translate them into an action plan, then execute and deliver
- Customer-centric approach to finding solutions
- Focused on results and able to explain findings in a way that answers business problems
- Constructive, “can do” approach to overcoming obstacles
- Can quickly learn new techniques and technologies
- Proactive in identifying process improvements
- Strong work ethic, willing to pitch in wherever needed
- Ability to manage projects and timelines, including directing the work of others
Wish List
- Degree in a relevant field (computer science, data science, statistics, mathematics, applied math, actuarial science, economics, etc.)
- Experience working in a HIPAA / PHI / PCI compliant environment
Location
The expected application deadline for this job is April 30, 2026. This position is open to remote work. Applicants must be willing to travel to the Milliman office in Brookfield, WI as needed and travel nationwide for meetings, conferences, and team events.
Compensation
The overall salary range for this role is $147,400 - $279,680.
For Candidates Residing In
- Alaska, California, Connecticut, Illinois, Maryland, Massachusetts, New Jersey, New York City, Pennsylvania, Virginia, Washington, or the District of Columbia the salary range is $169,510 - $279,680.
- All other locations the salary range is $147,400 - $243,200.
A combination of factors will be considered, including, but not limited to, education, relevant work experience, qualifications, skills, certifications, etc.
Milliman Benefits
We offer a comprehensive benefits package designed to support employees’ health, financial security, and well-being. Benefits include:
- Medical, Dental and Vision – Coverage for employees, dependents, and domestic partners.
- Employee Assistance Program (EAP) – Confidential support for personal and work-related challenges
- 401(k) Plan – Includes a company matching program and profit-sharing contributions
- Discretionary Bonus Program – Recognizing employee contributions
- Flexible Spending Accounts (FSA) – Pre-tax savings for dependent care, transportation, and eligible medical expenses
- Paid Time Off (PTO) – Begins accruing on the first day of work. Full-time employees accrue 15 days per year, and employees working less than full-time accrue PTO on a prorated basis
- Holidays – A minimum of 10 paid holidays per year
- Family Building Benefits – Includes adoption and fertility assistance
- Paid Parental Leave – Up to 12 weeks of paid leave for employees who meet eligibility criteria
- Life Insurance & AD&D – 100% of premiums covered by Milliman
- Short-Term and Long-Term Disability – Fully paid by Milliman
Equal Opportunity
All qualified applicants will receive consideration for employment, without regard to race, color, religion, sex, sexual orientation, national origin, disability, or status as a protected veteran.
What We Do
Milliman IntelliScript is a group of a few hundred experts in fields ranging from actuarial science to information technology to clinical practice. Together, we develop and deploy category-defining, data-driven, software-as-a-service (SaaS) products for a broad spectrum of insurance, health IT and life sciences clients. We are a business unit within Milliman, Inc., a respected consultancy with offices around the world. Candidates who have their pick of jobs are drawn to IntelliScript’s entrepreneurial and collaborative culture of innovation, excellence, exceptional customer service, balance, and transparency. Every single person has a voice in our company, and we challenge each other to push the outer limits of our full, diverse potential. And, we’ve shown sustained growth that ensures you’ll have room to grow your skillset, responsibilities, and career. Our team is smart, down-to-earth, and ready to listen to your best ideas. We reward excellence and offer competitive compensation and benefits. Milliman invests in skills training and career development and gives all employees access to a variety of learning and mentoring opportunities. Our growing number of Milliman Employee Resource Groups (ERGs) are employee-led communities that influence policy decisions, develop future leaders, and amplify the voices of their constituents. We encourage our employees to give back to their varied professions, including leadership in professional organizations.
What This Position Entails
Milliman, Inc. is recognized as a top firm that provides data, products, and professional services to the insurance industry. IntelliScript is a practice within Milliman that provides health and life insurers with real-time data and underwriting decision support tools via software-as-a-service (SaaS). IntelliScript offers an innovative suite of products which interpret and deliver electronic medical data (such as prescription histories, diagnoses, treatment data, etc.) to help our clients make effective underwriting and pricing decisions. Our company offers a unique entrepreneurial culture that also promotes work/life balance. IntelliScript has enjoyed consistent growth and is the leader in the markets we serve. This role will serve as a hands-on individual contributor with a strong emphasis on coding, platform delivery, and technical reviews. You will report to the Manager, AI & Machine Learning Engineering, and play a critical role in advancing our Models as a Service (MAAS) initiative, helping to modernize our AI and machine learning model delivery platform. The role will contribute to complex data science projects requiring ML engineering expertise and knowledge of medical claims and Electronic Health Records (EHR). Leveraging expertise in GenAI, ML engineering, software development, and data science, you will deepen their understanding of current product capabilities and develop innovative solutions—such as advanced summarization and agentic workflows—to enhance them. The Lead AI & Machine Learning Engineer will be responsible for developing, deploying, and industrializing sophisticated GenAI and machine learning solutions for healthcare, insurance and adjacent markets.
Key Responsibilities Include
- ML engineering efforts within the Models-as-a-Service (MAAS) platform, ensuring high-quality and scalable model delivery
- Providing technical guidance, reviews, and mentorship to junior team members
- Collaborating closely with the data science team, MAAS product owner, AI architect, and Manager, AI & Machine Learning Engineering to drive model and feature delivery from ideation through deployment
- Ensuring the success of model-driven products across both technical and operational dimensions
- Hands-on technical contribution to support the growth of MAAS and/or Data Science initiatives
What You Will Be Doing
The key area of responsibility in the role of Lead AI & Machine Learning Engineer is to work as part of our MAAS Team and in conjunction with our data science and product teams, contribute to various aspects of AI & Machine Learning across our practice:
- Lead end-to-end development, deployment, and maintenance of AI infrastructure and applications, from proof-of-concept to production and ongoing maintenance, ensuring seamless integration with IT, Product, and other departments
- Collaborate closely with the Product Owner for Models as a Service, the AI architect, and other stakeholders to align technical and product objectives
- Provide technical proficiency in AI/ML engineering and data science, including selection and optimization of frameworks, libraries, and tools
- Development of MLOps, LLMOps, and AIOps solutions across the organization
- Serve as a ML Engineer with deep expertise in driving innovative product features from concept to commercial reality
- Peer review, audit, and enhance models and code developed by team members to ensure high standards and continual improvement
What We Need
- 10+ years of machine learning engineering, GenAI, and data science experience in one of the following industries: healthcare, insurance, clinical trials, or similar fields
- Experience working with machine learning engineering and data science projects across the full life cycle from identifying customer need, to completing proof of concepts, to model building and validation, to implementation
- Ability to contribute to cross-functional teams
- Expert level knowledge of Python and SQL
- Experience with other programming languages: R, PySpark
- Ability to understand / read other programming languages: C#, Rust
- Expert with cloud-based analytical solutions and distributed computing (Databricks)
- Expert with converting on-premise solutions into cloud ready applications
- Ability to create CI/CD workflows using Github and IaC technology (e.g. Terraform)
- Expert with APIs, AWS Cloud Services and associated services (Lambda, Step Functions, AWS Batch etc..), and git
- Strong programming aptitude (debugging, package design, dependency management, testing)
- Understand how to build and design varying inference solutions (single and batch scoring)
What You Bring To The Table
- Excellent communication skills, in person and through phone / email
- Ability to understand and translate technical specs or model results in communication with clients and IntelliScript Lead management
- Proven ability to understand client analytical needs, translate them into an action plan, then execute and deliver
- Customer-centric approach to finding solutions
- Focused on results and able to explain findings in a way that answers business problems
- Constructive, “can do” approach to overcoming obstacles
- Can quickly learn new techniques and technologies
- Proactive in identifying process improvements
- Strong work ethic, willing to pitch in wherever needed
- Ability to manage projects and timelines, including directing the work of others
Wish List
- Degree in a relevant field (computer science, data science, statistics, mathematics, applied math, actuarial science, economics, etc.)
- Experience working in a HIPAA / PHI / PCI compliant environment
Location
The expected application deadline for this job is April 30, 2026. This position is open to remote work. Applicants must be willing to travel to the Milliman office in Brookfield, WI as needed and travel nationwide for meetings, conferences, and team events.
Compensation
The overall salary range for this role is $147,400 - $279,680.
For Candidates Residing In
- Alaska, California, Connecticut, Illinois, Maryland, Massachusetts, New Jersey, New York City, Pennsylvania, Virginia, Washington, or the District of Columbia the salary range is $169,510 - $279,680.
- All other locations the salary range is $147,400 - $243,200.
A combination of factors will be considered, including, but not limited to, education, relevant work experience, qualifications, skills, certifications, etc.
Milliman Benefits
We offer a comprehensive benefits package designed to support employees’ health, financial security, and well-being. Benefits include:
- Medical, Dental and Vision – Coverage for employees, dependents, and domestic partners.
- Employee Assistance Program (EAP) – Confidential support for personal and work-related challenges
- 401(k) Plan – Includes a company matching program and profit-sharing contributions
- Discretionary Bonus Program – Recognizing employee contributions
- Flexible Spending Accounts (FSA) – Pre-tax savings for dependent care, transportation, and eligible medical expenses
- Paid Time Off (PTO) – Begins accruing on the first day of work. Full-time employees accrue 15 days per year, and employees working less than full-time accrue PTO on a prorated basis
- Holidays – A minimum of 10 paid holidays per year
- Family Building Benefits – Includes adoption and fertility assistance
- Paid Parental Leave – Up to 12 weeks of paid leave for employees who meet eligibility criteria
- Life Insurance & AD&D – 100% of premiums covered by Milliman
- Short-Term and Long-Term Disability – Fully paid by Milliman
Equal Opportunity
All qualified applicants will receive consideration for employment, without regard to race, color, religion, sex, sexual orientation, national origin, disability, or status as a protected veteran.
AI ML Engineering Job Roles in Wisconsin
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Search AI ML Engineering Jobs in WisconsinAI ML Engineering Jobs in Wisconsin: Frequently Asked Questions
Which companies sponsor visas for AI ML engineers in Wisconsin?
Epic Systems, American Family Insurance, Northwestern Mutual, Exact Sciences, and Fetch Rewards are among Wisconsin employers with documented H-1B sponsorship activity for technical roles. Epic in particular hires machine learning engineers at scale at its Verona campus. Larger employers in the Madison and Milwaukee metros are generally more likely to have established sponsorship processes than smaller startups.
Which visa types are most common for AI ML engineering roles in Wisconsin?
The H-1B is the most common visa for AI and ML engineers in Wisconsin, as these roles typically qualify as specialty occupations requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates already in the U.S. on F-1 OPT or STEM OPT extension may work for a sponsoring employer before H-1B status begins. O-1A is an option for engineers with demonstrated exceptional ability.
Which cities in Wisconsin have the most AI ML engineering sponsorship jobs?
Madison is the strongest market, driven by Epic Systems, the University of Wisconsin-Madison's research commercialization activity, and a growing startup scene. Milwaukee is the second hub, with financial services firms like Northwestern Mutual and ManpowerGroup investing in AI capabilities. Verona, immediately west of Madison, is effectively an extension of that market given Epic's headquarters there.
How to find ai ml engineering visa sponsorship jobs in Wisconsin?
Migrate Mate lets you filter AI and ML engineering jobs specifically by visa sponsorship availability and state, so you can browse Wisconsin-based roles without manually vetting each employer. Given that sponsorship willingness varies significantly by company size and HR infrastructure in Wisconsin, using a platform like Migrate Mate that screens for sponsoring employers saves considerable time for international candidates targeting this market.
Are there any Wisconsin-specific considerations for AI ML engineers seeking visa sponsorship?
Wisconsin's university pipeline, particularly from UW-Madison's computer science and statistics programs, means employers here are accustomed to hiring international graduates with OPT work authorization. The state has no dedicated tech visa incentive program, so sponsorship depends entirely on individual employer policy. AI and ML roles in Wisconsin's dominant industries, including insurance, healthcare IT, and financial services, tend to require domain knowledge alongside core ML skills.
What is the prevailing wage for sponsored ai ml engineering jobs in Wisconsin?
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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