ML Engineer Visa Sponsorship Jobs in Wisconsin
Wisconsin's ML engineer hiring is anchored by companies like American Family Insurance, Epic Systems, and Exact Sciences, with Madison and Milwaukee as the primary tech hubs. Employers in insurance, health tech, and biotech regularly sponsor H-1B visas for machine learning roles, making Wisconsin a realistic target for international ML engineers seeking sponsorship.
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Get Access To All JobsPosition Title:
Associate/Full Professor in Social Work, AI & Data Science Cluster
Job Category:
Faculty
Employment Type:
Regular
Job Profile:
Associate Professor
Job Duties:
The Social Work Department at the University of Wisconsin-Milwaukee (UWM) invites applicants to apply to an associate or full professor, tenure-line faculty position as part of an Artificial Intelligence and Data Science Cluster Hire Initiative. UWM Academic Affairs, with generous support from the Northwestern Mutual Data Science Institute (NMDSI), is making a strategic investment in this position, providing competitive salary supplements and start-up resources.
The new faculty will have a record of securing external funding along with experience in academic settings that is commensurate with a rank of Advanced Assistant Professor (with ability to join UWM as tenured associate) or higher. Applicants are expected to have expertise both in a critical social work-related area of research (e.g., applied gerontology, health disparities, poverty policy, child welfare, community practice, criminal justice, etc.) and in AI and Data Science. The incoming faculty will collaborate with NMDSI to drive innovative research, strengthen community engagement, and develop AI and Data Science talent to support Milwaukee’s growth as a technology and innovation hub. Candidates with relevant expertise will also have the opportunity to affiliate as Fellows with UWM’s Connected Systems, which houses the Microsoft AI Co-Innovation Lab.
Faculty in this cluster hire will be housed in UWM’s College of Community Engagement & Professions: Helen Bader School of Social Welfare and the School of Information Studies.
The faculty hired for this cluster in the Department of Social Work will:
- Produce scholarship in an important area of social work research.
- Advance interdisciplinary AI and Data Science research at UWM.
- Collaborate with NMDSI to address real-world challenges.
- Innovate and expand AI and Data Science educational programs.
Department:
The Helen Bader School of Social Welfare is comprised of the Department of Social Work and the Department of Criminal Justice & Criminology. The Department of Criminal Justice & Criminology offers a BS and an MS, as well as jointly offering a PhD in Social Welfare with the Department of Social Work. The Department is known for its commitment to collaborative partnerships with community and governmental organizations in southeast Wisconsin and beyond through research and student engagement.
Why Join UWM?
UWM is recognized by the Carnegie Foundation as both a Research 1 and Community Engaged university. Our mission as an urban research university aligns with this dual designation and is key to our shared, aspirational purposes reflected in our 2030 Strategic Plan to advance student success, the employee experience, research impact and innovation, as well as fiscal sustainability and economic growth. As one of the few Carnegie R1 Research Universities with a Community Engagement designation, UWM offers a unique opportunity to make a significant impact on public health through research, teaching, and collaboration.
Compensation:
The target hiring range is $110,000 - $160,000 on a 9-month, academic basis. Final salary offer will be contingent on rank and skills and abilities demonstrated throughout the selection process.
Required Qualifications:
- PhD /Doctorate in social work or a related field.
- Ability to meet rank of a tenured associate or full professor in the Department of Social Work at UWM which includes a strong record of research and scholarship, teaching, and service accomplishments comparable to those of a tenured associate or full professor.
- Proven success in securing external research funding, preferably federal funding in areas of applied AI.
- Demonstrated commitment to fostering inclusive environments and supporting the success of students, including historically underrepresented students (e.g. first-generation students, Pell-eligible students).
Preferred Qualifications:
- Proven track record of interdisciplinary research collaboration related to AI and Data Science.
- Demonstrated experience in developing and sustaining partnerships with local organizations.
- Strong record of community-engaged research that addresses systemic challenges, employs empowered and emancipatory approaches, and generates equitable and inclusive outcomes.
- Demonstrated contributions to advancing underrepresented areas in AI, with tangible impacts on societal benefits, ethical AI development, and reducing biases and inequities in technology access.
- Expertise in analyzing and addressing systemic challenges affecting urban and underrepresented populations using AI.
How to Apply:
Interested candidates are required to submit the following:
- Curriculum vitae.
- Letter of interest describing research interests, past accomplishments, qualifications, funding record, and vision for collaborative work with Northwestern Mutual Data Science Institute.
- Referee List (names and contact information of at least three references). Letters of recommendation will be requested by the search committee after the initial review.
Note: Applicants must complete all required fields and attach all required documents prior to submitting the online application to ensure full consideration. Additional documents submitted aside from these required materials will not be considered.
In instances where the Search and Screen Committee is unable to ascertain from the candidates’ application materials whether they meet any of the qualifications, they may be evaluated as not meeting such qualifications.
This is a continuous recruitment with an initial review date of October 19, 2026. To ensure consideration, applications must be submitted by October 18, 2026. Application materials received after October 18, 2026 may not receive consideration.
Be part of UWM’s mission to transform lives and communities through research, collaboration, and community engagement.
Questions about this position should be directed to Joshua Xiong at jxxiong@uwm.edu.
Reasonable Accommodations
Pursuant to university policy, UWM provides reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment. Employment opportunities will not be denied because of the need to make reasonable accommodations for a qualified individual with a disability. If you need assistance or accommodation in applying because of a disability, please contact uwm-jobs@uwm.edu or 414-229-4463. This job announcement and other material on this site will be made available in alternate formats upon request to an individual with a disability.
Confidentiality of Applicant Materials
UWM is a State agency and subject to Wisconsin’s Open Records Law. UWM will not, however, reveal the identities of applicants who request confidentiality in writing except as may be required by Wisconsin’s Open Records law. In certain circumstances, the identities of “final candidates” and/or the identity of the appointed applicant must be revealed upon request.
CBC and Reference Check Policy
Employment will require a criminal background check. UWM takes the prevention of sexual misconduct seriously. As such, you and your references will be required to answer questions regarding any past findings of sexual violence and sexual harassment or any pending allegations of sexual violence or sexual harassment.
Annual Security and Fire Safety Report (Clery Act)
For the UWM Annual Security and Fire Safety Reports (i.e., Clery Report), which includes statistics about reported crimes and information about campus security policies, see http://www.cleryact.uwm.edu/, or call UWM’s Dean of Students Office, Student Union 345 at (414) 229-4632 for a paper copy.
Employment Authorization
In compliance with federal law, all persons at the time of their start date will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
UW is an Equal Opportunity Employer
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, disability, status as a protected veteran, or any other bases protected by applicable federal or State law and UW System policies. We are committed to building a workforce that represents a variety of backgrounds, perspectives, and skills, and encourage all qualified individuals to apply.
Position Title:
Associate/Full Professor in Social Work, AI & Data Science Cluster
Job Category:
Faculty
Employment Type:
Regular
Job Profile:
Associate Professor
Job Duties:
The Social Work Department at the University of Wisconsin-Milwaukee (UWM) invites applicants to apply to an associate or full professor, tenure-line faculty position as part of an Artificial Intelligence and Data Science Cluster Hire Initiative. UWM Academic Affairs, with generous support from the Northwestern Mutual Data Science Institute (NMDSI), is making a strategic investment in this position, providing competitive salary supplements and start-up resources.
The new faculty will have a record of securing external funding along with experience in academic settings that is commensurate with a rank of Advanced Assistant Professor (with ability to join UWM as tenured associate) or higher. Applicants are expected to have expertise both in a critical social work-related area of research (e.g., applied gerontology, health disparities, poverty policy, child welfare, community practice, criminal justice, etc.) and in AI and Data Science. The incoming faculty will collaborate with NMDSI to drive innovative research, strengthen community engagement, and develop AI and Data Science talent to support Milwaukee’s growth as a technology and innovation hub. Candidates with relevant expertise will also have the opportunity to affiliate as Fellows with UWM’s Connected Systems, which houses the Microsoft AI Co-Innovation Lab.
Faculty in this cluster hire will be housed in UWM’s College of Community Engagement & Professions: Helen Bader School of Social Welfare and the School of Information Studies.
The faculty hired for this cluster in the Department of Social Work will:
- Produce scholarship in an important area of social work research.
- Advance interdisciplinary AI and Data Science research at UWM.
- Collaborate with NMDSI to address real-world challenges.
- Innovate and expand AI and Data Science educational programs.
Department:
The Helen Bader School of Social Welfare is comprised of the Department of Social Work and the Department of Criminal Justice & Criminology. The Department of Criminal Justice & Criminology offers a BS and an MS, as well as jointly offering a PhD in Social Welfare with the Department of Social Work. The Department is known for its commitment to collaborative partnerships with community and governmental organizations in southeast Wisconsin and beyond through research and student engagement.
Why Join UWM?
UWM is recognized by the Carnegie Foundation as both a Research 1 and Community Engaged university. Our mission as an urban research university aligns with this dual designation and is key to our shared, aspirational purposes reflected in our 2030 Strategic Plan to advance student success, the employee experience, research impact and innovation, as well as fiscal sustainability and economic growth. As one of the few Carnegie R1 Research Universities with a Community Engagement designation, UWM offers a unique opportunity to make a significant impact on public health through research, teaching, and collaboration.
Compensation:
The target hiring range is $110,000 - $160,000 on a 9-month, academic basis. Final salary offer will be contingent on rank and skills and abilities demonstrated throughout the selection process.
Required Qualifications:
- PhD /Doctorate in social work or a related field.
- Ability to meet rank of a tenured associate or full professor in the Department of Social Work at UWM which includes a strong record of research and scholarship, teaching, and service accomplishments comparable to those of a tenured associate or full professor.
- Proven success in securing external research funding, preferably federal funding in areas of applied AI.
- Demonstrated commitment to fostering inclusive environments and supporting the success of students, including historically underrepresented students (e.g. first-generation students, Pell-eligible students).
Preferred Qualifications:
- Proven track record of interdisciplinary research collaboration related to AI and Data Science.
- Demonstrated experience in developing and sustaining partnerships with local organizations.
- Strong record of community-engaged research that addresses systemic challenges, employs empowered and emancipatory approaches, and generates equitable and inclusive outcomes.
- Demonstrated contributions to advancing underrepresented areas in AI, with tangible impacts on societal benefits, ethical AI development, and reducing biases and inequities in technology access.
- Expertise in analyzing and addressing systemic challenges affecting urban and underrepresented populations using AI.
How to Apply:
Interested candidates are required to submit the following:
- Curriculum vitae.
- Letter of interest describing research interests, past accomplishments, qualifications, funding record, and vision for collaborative work with Northwestern Mutual Data Science Institute.
- Referee List (names and contact information of at least three references). Letters of recommendation will be requested by the search committee after the initial review.
Note: Applicants must complete all required fields and attach all required documents prior to submitting the online application to ensure full consideration. Additional documents submitted aside from these required materials will not be considered.
In instances where the Search and Screen Committee is unable to ascertain from the candidates’ application materials whether they meet any of the qualifications, they may be evaluated as not meeting such qualifications.
This is a continuous recruitment with an initial review date of October 19, 2026. To ensure consideration, applications must be submitted by October 18, 2026. Application materials received after October 18, 2026 may not receive consideration.
Be part of UWM’s mission to transform lives and communities through research, collaboration, and community engagement.
Questions about this position should be directed to Joshua Xiong at jxxiong@uwm.edu.
Reasonable Accommodations
Pursuant to university policy, UWM provides reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment. Employment opportunities will not be denied because of the need to make reasonable accommodations for a qualified individual with a disability. If you need assistance or accommodation in applying because of a disability, please contact uwm-jobs@uwm.edu or 414-229-4463. This job announcement and other material on this site will be made available in alternate formats upon request to an individual with a disability.
Confidentiality of Applicant Materials
UWM is a State agency and subject to Wisconsin’s Open Records Law. UWM will not, however, reveal the identities of applicants who request confidentiality in writing except as may be required by Wisconsin’s Open Records law. In certain circumstances, the identities of “final candidates” and/or the identity of the appointed applicant must be revealed upon request.
CBC and Reference Check Policy
Employment will require a criminal background check. UWM takes the prevention of sexual misconduct seriously. As such, you and your references will be required to answer questions regarding any past findings of sexual violence and sexual harassment or any pending allegations of sexual violence or sexual harassment.
Annual Security and Fire Safety Report (Clery Act)
For the UWM Annual Security and Fire Safety Reports (i.e., Clery Report), which includes statistics about reported crimes and information about campus security policies, see http://www.cleryact.uwm.edu/, or call UWM’s Dean of Students Office, Student Union 345 at (414) 229-4632 for a paper copy.
Employment Authorization
In compliance with federal law, all persons at the time of their start date will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
UW is an Equal Opportunity Employer
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, disability, status as a protected veteran, or any other bases protected by applicable federal or State law and UW System policies. We are committed to building a workforce that represents a variety of backgrounds, perspectives, and skills, and encourage all qualified individuals to apply.
ML Engineer Job Roles in Wisconsin
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Search ML Engineer Jobs in WisconsinML Engineer Jobs in Wisconsin: Frequently Asked Questions
Which companies sponsor visas for ML engineers in Wisconsin?
American Family Insurance and Epic Systems in Madison are among the more consistent H-1B sponsors for technical roles, including machine learning positions. Exact Sciences and Advocate Aurora Health also file for ML and data science talent. Wisconsin's insurance and health tech sectors drive most of the sponsorship activity, alongside a smaller number of manufacturing and agriculture technology firms based in the state.
Which visa types are most common for ML engineer roles in Wisconsin?
The H-1B is the most common visa for ML engineers in Wisconsin. It requires a bachelor's degree or higher in a relevant field such as computer science, statistics, or engineering, and the employer must file a Labor Condition Application with the Department of Labor. Candidates already holding OPT or STEM OPT authorization can often begin work before H-1B approval, which many Wisconsin employers accommodate.
How to find ml engineer visa sponsorship jobs in Wisconsin?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can search ML engineer roles in Wisconsin without sifting through positions that won't support international candidates. Given that sponsorship-willing employers in Wisconsin are concentrated in Madison and Milwaukee across health tech, insurance, and biotech, filtering by those industries on Migrate Mate helps narrow the search efficiently.
Which cities in Wisconsin have the most ML engineer sponsorship jobs?
Madison is Wisconsin's primary hub for ML engineering sponsorship, driven by Epic Systems, American Family Insurance, and the University of Wisconsin-Madison's research and commercialization activity. Milwaukee follows, with activity from health systems and financial services firms. Smaller but notable pockets exist in the Fox Valley corridor where manufacturing automation companies have increased their demand for machine learning talent.
Are there state-specific considerations for ML engineers pursuing sponsorship in Wisconsin?
Wisconsin's ML hiring leans heavily on health informatics, insurance analytics, and agricultural technology rather than pure software, so candidates whose experience intersects with those domains tend to be more competitive locally. The University of Wisconsin-Madison produces a steady pipeline of ML graduates, which means employer familiarity with OPT and H-1B processes is relatively high among mid-to-large Wisconsin tech employers compared to less university-proximate states.
What is the prevailing wage for sponsored ml engineer 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.