Machine Learning Engineer Jobs in Wisconsin
Machine Learning Engineer jobs in Wisconsin are concentrated in enterprise software, healthcare analytics, financial services, and manufacturing automation, with consistent demand at mid-level and senior levels. Madison and Milwaukee anchor most of the hiring, with Green Bay contributing a smaller but steady share, and employers like Epic Systems, Northwestern Mutual, and Oshkosh Corporation representing the kind of lasting institutional presence that drives recurring openings. The most in-demand specialties are natural language processing, computer vision, and MLOps. 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.
See All 5 Machine Learning Engineer Jobs in Wisconsin
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Where Wisconsin roles are concentrated, by current openings.
Machine Learning Engineer 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 engineer jobs across Wisconsin.
- Bachelor's or master's degree in computer science, statistics, or a closely related field
- Proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch
- Hands-on experience designing, training, and deploying production machine learning models
- Familiarity with cloud platforms including AWS, Azure, or Google Cloud for model deployment
- Strong working knowledge of SQL and experience with large-scale data pipelines
- Ability to communicate model performance and trade-offs clearly to non-technical stakeholders
Machine Learning Engineer Jobs in Wisconsin: Frequently Asked Questions
How do you become a machine learning engineer in Wisconsin?
Machine learning engineering in Wisconsin requires no state-issued license or registration. Most employers hire candidates with a bachelor's degree in computer science, mathematics, or engineering, and a master's degree is increasingly preferred for senior roles. Building a portfolio of deployed models, contributing to open-source projects, and completing graduate coursework at institutions like the University of Wisconsin-Madison or Marquette University strengthens your candidacy significantly.
How much do machine learning engineers make in Wisconsin?
Machine learning engineers in Wisconsin earn a median of about $122,660 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $77,710 for the lowest 10% to over $168,630 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire machine learning engineers in Wisconsin?
Companies currently hiring machine learning engineers in Wisconsin include Milwaukee Tool, Paradigm, and Yaskawa Electric, per current listings on Migrate Mate as of July 2026. Wisconsin's mix of large health technology firms, financial services headquarters, and industrial manufacturers means openings appear across a broader range of industries than in purely tech-concentrated markets.
Which Wisconsin cities have the most machine learning engineer jobs?
Brookfield, Franklin, and Middleton have the most machine learning engineer openings in Wisconsin. Madison leads because of Epic Systems and the University of Wisconsin research ecosystem, while Milwaukee's concentration of financial services firms like Northwestern Mutual and insurance companies generates steady demand, and smaller markets reflect large regional employers anchoring local hiring.
Are there remote machine learning engineer jobs in Wisconsin?
Yes, and more than most fields. About 50% of machine learning engineer openings tied to Wisconsin are remote or hybrid as of July 2026, reflecting the role's fundamentally desk-based and collaborative-online nature. Model development, experimentation, and pipeline work are the parts of the job most commonly performed fully remotely, while model deployment and stakeholder-facing work more often require hybrid arrangements.
How can I get hired as a machine learning engineer in Wisconsin with little or no experience?
The most realistic entry path is a data analyst or software engineer role at a Wisconsin employer that runs machine learning projects internally, then moving laterally once you have model-building exposure. Epic Systems, American Family Insurance, and Wisconsin-based healthcare networks regularly hire recent graduates from University of Wisconsin-Madison and Milwaukee School of Engineering into data or engineering associate programs. A strong GitHub portfolio demonstrating end-to-end model projects, even on public datasets, compensates meaningfully for limited professional history.
Where can I find and apply to machine learning engineer jobs in Wisconsin?
You can find and apply to machine learning engineer jobs in Wisconsin on Migrate Mate, which lists current Wisconsin openings updated regularly. Search the available roles, identify the ones that match your experience level and preferred location or remote arrangement, and apply directly to the listings that fit.
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