Machine Learning Visa Sponsorship Jobs in Wisconsin
Wisconsin's machine learning job market centers on Madison and Milwaukee, where employers like Epic Systems, Exact Sciences, and American Family Insurance actively hire ML engineers and data scientists. The state's strong university pipeline from UW-Madison and growing health tech and insurtech sectors make it a practical destination for international candidates seeking visa sponsorship in machine learning.
Find Machine Learning JobsOverview
Showing 5 of 14+ Machine Learning Jobs in Wisconsin 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 Machine Learning Jobs in Wisconsin with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Machine Learning Jobs in Wisconsin with Visa Sponsorship.
Get Access To All JobsJob Description:
INNOVATE WITHOUT BOUNDARIES!
At Milwaukee Tool we firmly believe that our People and our Culture are the secrets to our success – so we give you unlimited access to everything you need to create disruptive new technologies and solutions on our engineering teams.
Our Engineering Team is responsible for giving life to the batteries, motors, and electronics that power solutions changing the lives of our users. Every developmental phase of these critical components happens in-house under the watch of this team. We continue to invest in electrical engineering resources to design and develop leadership in electronic capabilities; something unique within the industry. And we’re pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence.
Behind our doors you’ll be empowered every day to own it, drive it, and do what it takes to design and develop the biggest breakthroughs in the industry.
Meanwhile, you’ll have the support and resources of the fastest-growing brand in the construction industry to make it happen. Year after year, our team continues to make significant breakthroughs in the industry. We’re just getting started. To learn more about our story click HERE.
At Milwaukee Tool we firmly believe that our People and our Culture are the secrets to our success – so we give you unlimited access to everything you need to create disruptive new technologies and solutions on our Advanced Engineering & Technology team.
Our Team’s Technology Obsession
The Adaptive Application Algorithm development team is the trusted research and knowledge bank that accelerates and delivers technological disruptive innovation to the organization. We work with cutting-edge engineering tools and spearhead the development of industry-defining technologies. Our collaborative and supportive work environment encourages out-of-the-box thinking, challenges traditional approaches, and empowers us to explore groundbreaking ideas. We are committed to staying ahead of the curve, continuously investing in research and development, and ensuring that our engineers have access to the most advanced technology.
The ideal candidate is a curious self-starter, who can drive several projects of high complexity. They are passionate about working in the ambiguous early research and development phase of engineering technologies and are eager to leverage their diverse background in Machine Learning (ML) and Artificial Intelligence (AI). They have a history of bringing fundamental technology principles to tangible applications that deliver innovation. They are hands-on, fail forward, and collaborate regularly with our cross-discipline team of various skillsets including Electrical Engineering, Cloud Architecture, Mechanical Engineering, Machine Learning Engineering, and other technical disciplines. Your extensive experience across multiple areas of Machine Learning will be invaluable in driving forward our cutting-edge projects and delivering impactful solutions.
You’ll be DISRUPTIVE through these duties and responsibilities:
- Research and introduce emergent technologies into the business which empower future product development.
- Leverage your diverse background and deep skillset in Machine Learning to deliver technological innovation.
- Execute applied ML for Advanced Engineering and R&D settings through proof of concepts and pilots.
- Stay ahead of industry trends related to AI, ML, and Cloud technologies – while rapidly evaluating their fit.
- De-risk technologies prior to business introduction by leveraging multiple approaches such as: Technology Readiness Level process, start-up engagements, and joint developments.
- Support the engagement of external partnerships, internal partnerships, or university engagements to accelerate technology delivery.
- Foster collaboration not only within your discipline but also with subject matter experts across the business, including mechanical, electrical and design engineers.
What TOOLS you’ll bring with you:
- Proven track record of developing, deploying, and implementing impactful AI or ML solutions connected to business objectives.
- Effective at evaluating technology feasibility and moving through development process.
- Demonstrated experience using fundamental ML techniques such as unsupervised, supervised, regression, dimensionality reduction, or similar.
- Familiar with advanced Machine Learning and AI methods such as CNN's, transformers, NLP, Computer Vision, or similar.
- Capable of developing robust MLOps pipelines to ensure efficient deployment, monitoring, and scaling of ML models.
- Can develop in cloud, local, or edge environments leveraging associated libraries and tools.
- Comfortable with Data Engineering, Data Collection, ETL, and data architecture principles.
- Familiar with different types of data collection methods or hardware in an engineering lab setting.
- Insatiably curious about emergent technologies, understanding their principles, and demonstrating their value in relevant environments.
- Bachelor of Science degree in Machine Learning, Data Science, Electrical Engineering, Computer Science, or related field.
- 2+ Years experience using Machine Learning Engineering skillsets in Research and Development, Advanced Engineering, or Lab environment.
- Excellent technical communication skills and fundamental project management abilities.
- Periodic travel may be required, up to 10%.
- Hands on experience.
We provide these great perks and benefits:
- Robust health, dental and vision insurance plans.
- Generous 401 (K) savings plan.
- Education assistance.
- On-site wellness, fitness center, food, and coffee service.
- And many more, check out our benefits site HERE.
Milwaukee Tool is an equal opportunity employer.
Job Description:
INNOVATE WITHOUT BOUNDARIES!
At Milwaukee Tool we firmly believe that our People and our Culture are the secrets to our success – so we give you unlimited access to everything you need to create disruptive new technologies and solutions on our engineering teams.
Our Engineering Team is responsible for giving life to the batteries, motors, and electronics that power solutions changing the lives of our users. Every developmental phase of these critical components happens in-house under the watch of this team. We continue to invest in electrical engineering resources to design and develop leadership in electronic capabilities; something unique within the industry. And we’re pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence.
Behind our doors you’ll be empowered every day to own it, drive it, and do what it takes to design and develop the biggest breakthroughs in the industry.
Meanwhile, you’ll have the support and resources of the fastest-growing brand in the construction industry to make it happen. Year after year, our team continues to make significant breakthroughs in the industry. We’re just getting started. To learn more about our story click HERE.
At Milwaukee Tool we firmly believe that our People and our Culture are the secrets to our success – so we give you unlimited access to everything you need to create disruptive new technologies and solutions on our Advanced Engineering & Technology team.
Our Team’s Technology Obsession
The Adaptive Application Algorithm development team is the trusted research and knowledge bank that accelerates and delivers technological disruptive innovation to the organization. We work with cutting-edge engineering tools and spearhead the development of industry-defining technologies. Our collaborative and supportive work environment encourages out-of-the-box thinking, challenges traditional approaches, and empowers us to explore groundbreaking ideas. We are committed to staying ahead of the curve, continuously investing in research and development, and ensuring that our engineers have access to the most advanced technology.
The ideal candidate is a curious self-starter, who can drive several projects of high complexity. They are passionate about working in the ambiguous early research and development phase of engineering technologies and are eager to leverage their diverse background in Machine Learning (ML) and Artificial Intelligence (AI). They have a history of bringing fundamental technology principles to tangible applications that deliver innovation. They are hands-on, fail forward, and collaborate regularly with our cross-discipline team of various skillsets including Electrical Engineering, Cloud Architecture, Mechanical Engineering, Machine Learning Engineering, and other technical disciplines. Your extensive experience across multiple areas of Machine Learning will be invaluable in driving forward our cutting-edge projects and delivering impactful solutions.
You’ll be DISRUPTIVE through these duties and responsibilities:
- Research and introduce emergent technologies into the business which empower future product development.
- Leverage your diverse background and deep skillset in Machine Learning to deliver technological innovation.
- Execute applied ML for Advanced Engineering and R&D settings through proof of concepts and pilots.
- Stay ahead of industry trends related to AI, ML, and Cloud technologies – while rapidly evaluating their fit.
- De-risk technologies prior to business introduction by leveraging multiple approaches such as: Technology Readiness Level process, start-up engagements, and joint developments.
- Support the engagement of external partnerships, internal partnerships, or university engagements to accelerate technology delivery.
- Foster collaboration not only within your discipline but also with subject matter experts across the business, including mechanical, electrical and design engineers.
What TOOLS you’ll bring with you:
- Proven track record of developing, deploying, and implementing impactful AI or ML solutions connected to business objectives.
- Effective at evaluating technology feasibility and moving through development process.
- Demonstrated experience using fundamental ML techniques such as unsupervised, supervised, regression, dimensionality reduction, or similar.
- Familiar with advanced Machine Learning and AI methods such as CNN's, transformers, NLP, Computer Vision, or similar.
- Capable of developing robust MLOps pipelines to ensure efficient deployment, monitoring, and scaling of ML models.
- Can develop in cloud, local, or edge environments leveraging associated libraries and tools.
- Comfortable with Data Engineering, Data Collection, ETL, and data architecture principles.
- Familiar with different types of data collection methods or hardware in an engineering lab setting.
- Insatiably curious about emergent technologies, understanding their principles, and demonstrating their value in relevant environments.
- Bachelor of Science degree in Machine Learning, Data Science, Electrical Engineering, Computer Science, or related field.
- 2+ Years experience using Machine Learning Engineering skillsets in Research and Development, Advanced Engineering, or Lab environment.
- Excellent technical communication skills and fundamental project management abilities.
- Periodic travel may be required, up to 10%.
- Hands on experience.
We provide these great perks and benefits:
- Robust health, dental and vision insurance plans.
- Generous 401 (K) savings plan.
- Education assistance.
- On-site wellness, fitness center, food, and coffee service.
- And many more, check out our benefits site HERE.
Milwaukee Tool is an equal opportunity employer.
Machine Learning Job Roles in Wisconsin
See all Machine Learning Jobs in Wisconsin
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Machine Learning Jobs in WisconsinMachine Learning Jobs in Wisconsin: Frequently Asked Questions
Which companies in Wisconsin sponsor visas for machine learning roles?
Epic Systems in Verona, Exact Sciences in Madison, and American Family Insurance are among the Wisconsin employers that have sponsored work visas for technical roles including machine learning. Large healthcare organizations, insurance companies, and manufacturing firms with data science teams are the most consistent sponsors. Research-oriented employers tied to UW-Madison also hire ML talent with sponsorship support.
Which visa types are most common for machine learning jobs in Wisconsin?
The H-1B visa is the most common visa for machine learning roles in Wisconsin, as ML engineer and data scientist positions typically qualify as specialty occupations requiring a relevant bachelor's or higher degree. Some employers also sponsor O-1A visas for candidates with exceptional records in research or publications. Candidates already on OPT or STEM OPT are frequently hired before full H-1B sponsorship begins.
Which cities in Wisconsin have the most machine learning sponsorship jobs?
Madison accounts for the largest share of machine learning sponsorship activity in Wisconsin, driven by Epic Systems, Exact Sciences, the UW-Madison research ecosystem, and a growing cluster of health tech startups. Milwaukee is the second most active city, with financial services firms, manufacturing companies with predictive analytics needs, and regional enterprise employers contributing to ML hiring. Smaller opportunities exist in Green Bay and Appleton.
How to find machine learning visa sponsorship jobs in Wisconsin?
Migrate Mate is a job board built specifically for international candidates seeking visa sponsorship, and it lets you filter machine learning roles by state so you can focus on Wisconsin employers. Because sponsorship willingness varies significantly by company, filtering for confirmed sponsors saves considerable time. Migrate Mate surfaces roles from employers with a documented history of sponsoring H-1B and other work visas for ML and data science positions.
Are there any Wisconsin-specific factors that affect machine learning visa sponsorship?
Wisconsin's machine learning hiring is heavily concentrated in healthcare IT and insurance, meaning employers often require domain knowledge in those industries alongside core ML skills. UW-Madison produces a steady pipeline of ML graduates, so international candidates compete alongside strong local talent. Employers must pay H-1B holders the prevailing wage for the role and location, which is set by the Department of Labor and varies by metro area within Wisconsin.
What is the prevailing wage for sponsored machine learning 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.