Machine Learning Jobs in Wisconsin
Machine Learning jobs in Wisconsin are concentrated in Madison, Milwaukee, and the Fox Valley corridor, where employers like American Family Insurance, Epic Systems, and Northwestern Mutual maintain active data science and AI teams. Demand is strongest in model development, natural language processing, and computer vision, with roles ranging from junior ML engineer to senior research scientist. Wisconsin's insurance, healthcare IT, and financial services sectors are among the most consistent sources of machine learning hiring in the Midwest. See the openings below and apply to the ones that match your experience.
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Yaskawa America, Inc. - Drives & Motion Division is a U.S. corporation, created to provide Automation Solutions and Support to our customers in North America, Central America, and South America. Yaskawa is the world's largest manufacturer of AC Inverter Drives, Servo and Motion Control, and Robotics Automation Systems. Products are marketed through direct sales, partners, representatives, dealers, and distributors. Yaskawa America, Inc. - Drives & Motion Division is a wholly-owned corporation of Yaskawa Electric Corporation of Japan. Since 1915, Yaskawa Electric has served the world needs for products to improve global productivity through Automation. We look to hire people who value a positive work culture, want to be part of a winning team, and have a desire to learn and grow. Yaskawa's culture of continuous improvement values hiring individuals that are looking for the opportunity to stretch their current talents and skills to the next level and beyond. If you have a passion for machine learning and advanced technology, we may have the perfect opportunity for you!
In this role you will support the identification and implementation of machine learning solutions across the Operations Business Unit. This engineer will work with the guidance of Operations team members to develop models, maintain automated systems, and contribute to simulation and digital twin projects that improve operational efficiency , quality and throughput.
The ideal candidate will possess a Bachelor's degree in Computer Science, Computer Engineering, Data Science, Electrical Engineering, Industrial Engineering or a related field. To be successful you should have 0-3 years of of professional or internship experience in machine learning, data science, or software engineering. Also proficiency in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn. Understanding of fundamental ML concepts: regression, classification, clustering, and model evaluation is a must.
Some key advantages of working at Yaskawa include: career opportunities in diverse areas, a highly competitive benefit package, including a generous 401(K) plan, profit sharing, corporate wide bonus plan and educational assistance program offering up to $10,000 a year for graduate courses. Additional information regarding the benefit package can be found at the following link.
https://www.yaskawa.com/about-us/careers/benefits (https://www.yaskawa.com/about-us/careers/benefits)
If the Machine Learning Engineer role sounds like a fit for your background and career goals, we would love to hear from you!
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.
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Find Machine Learning JobsMachine Learning Jobs by City in Wisconsin
Where Wisconsin roles are concentrated, by current openings.
Machine Learning Job Market in Wisconsin
A snapshot from current Wisconsin openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Technology & Software
What Wisconsin Employers Look For
The qualifications that appear most often in machine learning jobs across Wisconsin.
- Bachelor's or master's degree in computer science, statistics, or a related quantitative field
- Proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
- Experience building, training, and deploying supervised and unsupervised models in production environments
- Familiarity with cloud platforms such as AWS, Google Cloud, or Azure for ML pipeline deployment
- Strong understanding of data preprocessing, feature engineering, and model evaluation techniques
- Ability to communicate model results and technical findings clearly to non-technical stakeholders
Machine Learning Jobs in Wisconsin: Frequently Asked Questions
How do you become a machine learning engineer in Wisconsin?
Machine learning roles in Wisconsin do not require a state-issued license. Most employers hire candidates who hold a bachelor's or master's degree in computer science, mathematics, statistics, or a closely related field. Building a portfolio of projects on platforms like GitHub, completing recognized ML certifications, and gaining hands-on experience through internships at Wisconsin research universities or industry labs strengthens your candidacy considerably.
Which companies hire machine learning engineers in Wisconsin?
Wisconsin machine learning roles are posted by Paradigm, Milwaukee Tool, and Yaskawa Electric and others right now, based on current listings on Migrate Mate as of July 2026. Wisconsin's concentration of insurance carriers, healthcare IT firms, and financial services companies means demand is particularly consistent outside of pure tech sectors.
Which Wisconsin cities have the most machine learning jobs?
Middleton, Brookfield, and Franklin lead Wisconsin for machine learning openings. Madison anchors the market through its university research ecosystem and corporate headquarters including Epic Systems and American Family Insurance, while Milwaukee draws hiring from financial services and healthcare technology firms, and smaller markets reflect satellite offices of those same large employers.
Are there remote machine learning jobs in Wisconsin?
Yes, and more than most fields. About 33% of machine learning openings tied to Wisconsin are remote or hybrid as of July 2026, reflecting how well the work translates to distributed teams. Model development, experimentation, and research roles are the most likely to be fully remote, while roles requiring close collaboration with on-site data infrastructure tend to be hybrid.
How can I get hired as a machine learning engineer in Wisconsin with little or no experience?
The most realistic entry path is through a data analyst or software engineer role at a large Wisconsin employer, then transitioning internally once you demonstrate ML skills. Epic Systems, American Family Insurance, and Northwestern Mutual run structured associate and rotational programs where candidates with strong fundamentals move into applied ML work. Building a public portfolio of end-to-end projects, contributing to open-source repositories, and completing a recognized ML certification gives Wisconsin hiring managers a concrete signal when your professional experience is limited.
Where can I find and apply to machine learning jobs in Wisconsin?
You can find and apply to machine learning jobs in Wisconsin on Migrate Mate, which lists current openings from employers across the state. Search the listings to find roles that match your background, skills, and preferred location, then apply directly to the ones that fit.
See All 6 Machine Learning Jobs in Wisconsin
Find roles in Wisconsin that match your experience and apply in just a few clicks.
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