ML Software Engineer Visa Sponsorship Jobs in Wisconsin
ML software engineer visa sponsorship jobs in Wisconsin are concentrated in Madison and Milwaukee, where employers like Epic Systems, American Family Insurance, and Exact Sciences hire for machine learning roles. The state's strong healthcare IT sector and research ties to the University of Wisconsin-Madison create steady demand for ML talent requiring H-1B and related work visas.
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Get Access To All JobsAbout the Role
In this role, you will focus on MLOps, supporting cross-functional teams in designing, deploying, and operating machine learning solutions while building scalable infrastructure, tools, and best practices across the Machine Learning Engineering (MLE) ecosystem.
What You’ll Do
- Collaborate with Data Scientists and Engineers across the full ML lifecycle, including building and scaling ETL pipelines, deploying models into customer-facing applications, and enabling efficient model development through cloud infrastructure and tooling
- Design, build, and maintain scalable machine learning infrastructure, including model serving (real-time and batch), training environments, and orchestration systems, with a focus on performance, scalability, and cost efficiency
- Contribute to the roadmap for Machine Learning Engineering and Data Science tools, including developing reusable frameworks and standardized solutions to streamline model implementation
- Partner with and support Data Scientists by enabling effective use of cloud-based tools and infrastructure, and providing technical expertise across the ML lifecycle
- Collaborate with machine learning engineers to share knowledge, improve best practices, and foster a culture of continuous learning and development
- Support development and maintain monitoring, alerting, and automated testing frameworks to ensure the reliability, performance, and integrity of data pipelines, models, and infrastructure
- Develop, document, and communicate implementations and best practices across the data science lifecycle
- Manage and communicate cloud infrastructure costs and budgets to project stakeholders
- Stay current with GCP services and evolving best practices in Machine Learning Engineering and MLOps
- Additional tasks may be assigned
What Skills You Have
Required
- Experience in MLOps or DevOps practices, including building and operating production ML systems using Docker, Kubernetes, CI/CD pipelines, Git-based version control, API development, model serving (batch and real-time), and automated testing frameworks
- Bachelor’s degree in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field
- Experience working with Data Scientists to deploy, scale, and operationalize machine learning models in production environments
- 3+ years of experience as a Machine Learning Engineer with a proven track record of successful project delivery
- In-depth knowledge of cloud platform, preferably Google Cloud Platform services, particularly Vertex AI, BigQuery and Dataproc
- Extensive expertise with CI/CD and IaC best practices
- Extensive knowledge of distributed computing and big data technologies like Spark, Kubeflow, Airflow and SQL
- Extensive expertise in Python and machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn)
- Experience working in Agile environments with an emphasis on iterative development and continuous delivery
Preferred
- Master’s Degree
- Proficiency in Java or other languages
- Retail experience
- E-commerce experience
- 5+ years of experience in Machine Learning
- Experience with optimization techniques and tools (e.g., Gurobi, linear programming, mixed-integer programming)
- Experience working with agent based or agentic AI systems, including orchestration of autonomous workflows or LLM-driven agents
About the Role
In this role, you will focus on MLOps, supporting cross-functional teams in designing, deploying, and operating machine learning solutions while building scalable infrastructure, tools, and best practices across the Machine Learning Engineering (MLE) ecosystem.
What You’ll Do
- Collaborate with Data Scientists and Engineers across the full ML lifecycle, including building and scaling ETL pipelines, deploying models into customer-facing applications, and enabling efficient model development through cloud infrastructure and tooling
- Design, build, and maintain scalable machine learning infrastructure, including model serving (real-time and batch), training environments, and orchestration systems, with a focus on performance, scalability, and cost efficiency
- Contribute to the roadmap for Machine Learning Engineering and Data Science tools, including developing reusable frameworks and standardized solutions to streamline model implementation
- Partner with and support Data Scientists by enabling effective use of cloud-based tools and infrastructure, and providing technical expertise across the ML lifecycle
- Collaborate with machine learning engineers to share knowledge, improve best practices, and foster a culture of continuous learning and development
- Support development and maintain monitoring, alerting, and automated testing frameworks to ensure the reliability, performance, and integrity of data pipelines, models, and infrastructure
- Develop, document, and communicate implementations and best practices across the data science lifecycle
- Manage and communicate cloud infrastructure costs and budgets to project stakeholders
- Stay current with GCP services and evolving best practices in Machine Learning Engineering and MLOps
- Additional tasks may be assigned
What Skills You Have
Required
- Experience in MLOps or DevOps practices, including building and operating production ML systems using Docker, Kubernetes, CI/CD pipelines, Git-based version control, API development, model serving (batch and real-time), and automated testing frameworks
- Bachelor’s degree in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field
- Experience working with Data Scientists to deploy, scale, and operationalize machine learning models in production environments
- 3+ years of experience as a Machine Learning Engineer with a proven track record of successful project delivery
- In-depth knowledge of cloud platform, preferably Google Cloud Platform services, particularly Vertex AI, BigQuery and Dataproc
- Extensive expertise with CI/CD and IaC best practices
- Extensive knowledge of distributed computing and big data technologies like Spark, Kubeflow, Airflow and SQL
- Extensive expertise in Python and machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn)
- Experience working in Agile environments with an emphasis on iterative development and continuous delivery
Preferred
- Master’s Degree
- Proficiency in Java or other languages
- Retail experience
- E-commerce experience
- 5+ years of experience in Machine Learning
- Experience with optimization techniques and tools (e.g., Gurobi, linear programming, mixed-integer programming)
- Experience working with agent based or agentic AI systems, including orchestration of autonomous workflows or LLM-driven agents
ML Software Engineer Job Roles in Wisconsin
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Search ML Software Engineer Jobs in WisconsinML Software Engineer Jobs in Wisconsin: Frequently Asked Questions
Which companies in Wisconsin sponsor visas for ML software engineers?
Epic Systems in Verona is one of Wisconsin's most active sponsors, regularly hiring ML engineers for healthcare data applications. American Family Insurance in Madison and Exact Sciences in Madison also sponsor for machine learning roles. Larger tech contractors and consulting firms operating in the Milwaukee metro, including Cognizant and Infosys, have a track record of H-1B sponsorship for ML-related positions across the state.
Which visa types are most common for ML software engineer roles in Wisconsin?
The H-1B is the most common visa for ML software engineers in Wisconsin, as these roles consistently qualify as specialty occupations requiring at least a bachelor's degree in computer science, statistics, or a closely related field. OPT and STEM OPT extensions are frequently used by University of Wisconsin-Madison graduates to begin employment before transitioning to H-1B sponsorship. O-1A visas occasionally apply for ML researchers with exceptional publication records.
Which cities in Wisconsin have the most ML software engineer sponsorship jobs?
Madison accounts for the majority of ML software engineer sponsorship activity in Wisconsin, driven by Epic Systems, Exact Sciences, and proximity to UW-Madison's computer sciences and data science programs. Milwaukee is the second-largest market, with financial services firms and healthcare organizations posting ML roles. The Fox Valley corridor, including Appleton, sees occasional ML openings tied to manufacturing automation and insurance analytics.
How to find ml software engineer visa sponsorship jobs in Wisconsin?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to find ML software engineer roles in Wisconsin without sorting through positions that don't offer sponsorship. You can filter by state and role type to see active openings at Wisconsin employers like Epic Systems and others in the healthcare IT and insurance sectors. This saves significant time compared to searching general job boards where sponsorship status is rarely listed upfront.
Are there any state-specific factors that affect ML software engineer visa sponsorship in Wisconsin?
Wisconsin's ML hiring is heavily influenced by the healthcare IT sector, which means many sponsored roles require domain knowledge in clinical data, EHR systems, or insurance analytics alongside core ML skills. The University of Wisconsin-Madison produces a significant pipeline of ML talent, creating OPT-to-H-1B pathways that are well-established at Madison-area employers. Wisconsin does not have additional state-level immigration requirements, but prevailing wage compliance under the H-1B program is determined by the Madison or Milwaukee metropolitan statistical area, depending on the work location.
What is the prevailing wage for sponsored ml software engineer jobs in Wisconsin?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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