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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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 Machine Learning Engineer Jobs in Wisconsin
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Find JobsMachine Learning Engineer Jobs by City in Wisconsin
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


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 Team TTI, Badger Meter, and Milwaukee Tool, per current listings on Migrate Mate as of November 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?
Milwaukee, Beloit, and Madison 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 November 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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