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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Fairbanks Morse Technology | Beloit, WI
Build Intelligent Technology. Solve Real-World Challenges. Make an Impact.
What if the AI you build could help predict equipment failures before they happen, uncover the root cause of complex problems, and help keep U.S. Navy ships mission-ready?
At Fairbanks Morse Technology, part of Fairbanks Morse Defense, we're developing advanced technology solutions that bring together artificial intelligence, machine learning, software engineering, automation, and Industrial IoT. We're looking for an AI/ML Software Engineer who wants to turn innovative ideas into production-ready products that solve meaningful, real-world problems.
This is an opportunity to do more than build models or write code. You'll take ownership of the full development lifecycle—from understanding customer challenges and designing solutions to building applications, deploying machine learning capabilities, and connecting insights to actionable outcomes.
Your work will help advance predictive maintenance, equipment health monitoring, anomaly detection, and root-cause analysis, beginning with U.S. Navy shipboard equipment. You'll help shape solutions designed to scale across equipment platforms, customers, and future applications.
If you enjoy solving complex problems, building complete products, and seeing your work move from concept to real-world use, we'd like to meet you.
What You'll Build and Accomplish
- Turn ideas into working products. Partner with customers, engineers, and stakeholders to understand their needs, define requirements, and translate them into practical technical solutions.
- Own the full software development lifecycle. Design and build complete applications spanning backend services, APIs, data pipelines, databases, and user interfaces.
- Make equipment smarter. Develop and deploy machine learning solutions for predictive maintenance, anomaly detection, time-series analysis, and root-cause identification.
- Connect intelligence to action. Build workflows that turn insights into recommended maintenance, work orders, guided troubleshooting, or automated responses.
- Design for scale and reuse. Create modular, maintainable software architectures that can expand to new equipment, customers, and applications without starting over.
- Bring AI closer to the equipment. Integrate software with sensors, controllers, industrial data systems, and third-party platforms, including environments that operate without continuous network connectivity.
- Build with AI, responsibly. Use AI-powered coding assistants to accelerate development while maintaining strong standards for code quality, testing, security, and data protection.
- Deliver secure, dependable solutions. Incorporate cybersecurity, automated testing, documentation, and CI/CD practices throughout development, including applicable NIST, STIG, and Risk Management Framework requirements.
- Own the outcome. Demonstrate working solutions, communicate technical trade-offs, and keep customers and leadership informed as products evolve.
We're looking for an engineer who combines strong software development fundamentals with hands-on machine learning experience and the ability to take a product from an initial idea to a working solution.
Required qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Electrical Engineering, Data Science, a related technical field, or equivalent practical experience.
- Five or more years of professional software development experience, including delivering complete applications from requirements through deployment.
- Demonstrated ability to turn ambiguous customer needs into clearly defined requirements and tested, working software.
- Strong Python development skills and proficiency in at least one additional language, such as C#, TypeScript/JavaScript, Java, or C++.
- Experience building REST APIs, data pipelines, databases, and web-based user interfaces.
- Hands-on experience applying machine learning in production, such as anomaly detection, classification, or time-series analysis, using frameworks such as scikit-learn, PyTorch, or TensorFlow.
- Experience using AI coding assistants effectively, with sound judgment around testing, code review, and protection of sensitive information.
- Familiarity with Git, CI/CD, Docker, and a major cloud platform; Azure experience is preferred.
- Strong communication skills and the ability to explain technical decisions to customers, engineers, and business leaders.
- Ability to work independently, adapt to changing priorities, and deliver results in a fast-paced environment.
You don't need to have worked in every one of these areas. Experience in one or more can help you make an immediate impact.
- Predictive maintenance, condition-based maintenance (CBM+), prognostics, or equipment health monitoring.
- Large language models (LLMs), retrieval-augmented generation (RAG), or agentic AI workflows.
- Industrial automation, sensor data, PLCs, OPC UA, Modbus, MQTT, or other industrial communication protocols.
- U.S. Navy, Department of Defense, or other defense-related technology programs.
- Secure cloud development, Azure Government Cloud, cybersecurity compliance, NIST, STIG, or RMF.
- Edge computing, embedded systems, or deploying software in disconnected environments.
- Cross-platform mobile development, including .NET MAUI.
Build technology with a purpose. Contribute to solutions that support the reliability and readiness of U.S. Navy equipment and other critical applications.
Own more than a piece of the project. Work across requirements, architecture, application development, machine learning, testing, and deployment.
Solve challenging engineering problems. Bring together software, AI, industrial systems, and equipment data in environments where reliability and security matter.
See your work come to life. Develop practical products that move beyond prototypes and connect machine intelligence with real operational needs.
Help shape what's next. Contribute to an evolving technology organization focused on AI, automation, smart engineering, and advanced IoT solutions.
Important Employment Requirement
This position requires access or potential access to Unclassified Naval Nuclear Propulsion Information (NOFORN). To meet this requirement, candidates must provide acceptable proof of U.S. citizenship and attest that they do not hold dual citizenship.
Acceptable proof of U.S. citizenship includes a U.S. passport, U.S. birth certificate, or naturalization certificate.
This is a full-time, on-site position based in Beloit, Wisconsin.
Ready to Build What's Next?
If you're an experienced software engineer who enjoys applying machine learning to complex, real-world challenges—and wants to build intelligent products with a meaningful mission—we invite you to explore this opportunity with Fairbanks Morse Technology and Fairbanks Morse Defense.
Mission-Driven. Honor-Bound. Fairbanks Morse Defense. What's your calling?
See All 6 Machine Learning Jobs in Wisconsin
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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


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 Team TTI, Badger Meter, and Milwaukee Tool and others right now, based on current listings on Migrate Mate as of November 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?
Milwaukee, Beloit, and Madison 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 50% of machine learning openings tied to Wisconsin are remote or hybrid as of November 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.
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