ML Engineer Jobs in Wisconsin
ML Engineer jobs in Wisconsin are concentrated in Madison, Milwaukee, and the Fox Valley corridor, where employers like Epic Systems, Northwestern Mutual, and Generac Holdings actively recruit for roles in healthcare AI, financial modeling, and embedded intelligence applications. Demand reaches from junior engineers building pipelines to senior architects designing production-scale systems. The state's strength in insurance, health IT, and industrial manufacturing creates consistent openings in applied ML, MLOps, and computer vision. Scan the live roles below and apply to whichever ones fit.
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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 5 ML Engineer Jobs in Wisconsin
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Where Wisconsin roles are concentrated, by current openings.
ML Engineer 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 ML engineer 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 designing, training, and deploying predictive models in production environments
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for model hosting and pipelines
- Strong understanding of SQL and data engineering practices including ETL pipeline development
- Ability to communicate model performance and findings clearly to non-technical business stakeholders
ML Engineer Jobs in Wisconsin: Frequently Asked Questions
How do you become a ml engineer in Wisconsin?
There is no state-issued license required to work as an ml engineer in Wisconsin. Most employers expect at least a bachelor's degree in computer science, mathematics, statistics, or a closely related field, though many Madison and Milwaukee firms also hire candidates who demonstrate strong portfolios and practical experience. Building projects in healthcare data or industrial analytics, areas Wisconsin employers prioritize, strengthens a candidate's profile significantly.
Which companies hire ml engineers in Wisconsin?
Employers hiring ml engineers in Wisconsin right now include Team TTI, Badger Meter, and Milwaukee Tool, based on current listings on Migrate Mate as of November 2026. Wisconsin's large health IT, insurance, and manufacturing sectors mean many openings are with established companies that operate long-term ML programs rather than short-term project contracts.
Which Wisconsin cities have the most ml engineer jobs?
Milwaukee, Beloit, and Madison have the most ml engineer openings in Wisconsin. Madison leads because of Epic Systems and the dense tech ecosystem around the University of Wisconsin, while Milwaukee draws demand from financial services firms and industrial manufacturers headquartered in the metro, and smaller Fox Valley cities appear on the list because of large employers in paper, packaging, and industrial automation.
Are there remote ml engineer jobs in Wisconsin?
Yes, and more than most fields. About 50% of ml engineer openings tied to Wisconsin are remote or hybrid as of November 2026, reflecting how well the role translates to distributed work. Roles focused on model development, research, and data pipeline engineering tend to be the most remote-friendly, while positions requiring close collaboration with embedded hardware or on-site data infrastructure are more likely to require in-person presence.
How can I get hired as a ml engineer in Wisconsin with little or no experience?
The most realistic entry path is through a data analyst or software engineering role at a Wisconsin employer that runs internal ML projects, then transitioning once you have demonstrated model-building experience. Epic Systems in Verona and Northwestern Mutual in Milwaukee both run new-graduate programs that expose early-career hires to applied machine learning work. Building a portfolio of end-to-end projects in healthcare or financial data, domains Wisconsin employers care about, along with completing a recognized certification in cloud ML services, gives candidates without prior titles a concrete edge.
Where can I find and apply to ml engineer jobs in Wisconsin?
You can find and apply to ml engineer jobs in Wisconsin on Migrate Mate, which lists current Wisconsin openings updated regularly. Search for roles that match your experience and specialization, then apply directly to the ones that fit your background and preferred location.
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