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Artificial Intelligence Machine Learning Engineer Jobs in Wisconsin

We are seeking an Artificial Intelligence Engineer III to join our team Summary: This position is ... This role applies advanced software, data science, machine learning, and LLM engineering expertise ...

WI · On-site

$105.50 - $132.20/hr

As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting‑edge machine learning models and solutions to enhance various aspects of our business operations ...

AI & Machine Learning Engineer Work model:On-Site Location:Green Bay, WI, USA Shift:First shift Job level:Individual Contributor Schedule:Full time; Mon-Fri 1st Shift Apply now Get job alerts Job ...

WI · On-site

$120 - $170/hr

Revionics' leading retail pricing solutions leverage powerful artificial intelligence technologies ... you! Sr. Machine Learning Engineer - Hybrid or On-Site working arrangement from the Revionics ...

New

WI · On-site

$150 - $190/hr

Apply artificial intelligence and machine learning techniques, including large language model and agentic approaches, to augment detection engineering, investigation, triage, and response workflows

WI · On-site

$140 - $200/hr

JOB TITLE Sr. Machine Learning Engineer LOCATION Coppell, TX (Hybrid role, may work from home) WE CARE ABOUT WELLBEING At Blue Yonder, we care about the wellbeing of our employees and those most ...

WI · On-site

$106.61 - $260.59/hr

Design and implement scalable and efficient machine learning systems, including data pipelines, preprocessing, feature engineering, and model training, ensuring the quality and integrity of health ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Showing results 21-40

Artificial Intelligence Machine Learning Engineer information

See Wisconsin salary details

$31.8K

$130K

$195.3K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for artificial intelligence machine learning engineer in Wisconsin is $129,973.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,400.00 and $156,400.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.
What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Wisconsin? For Artificial Intelligence Machine Learning Engineer jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Wisconsin look for? The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Wisconsin are:
What cities in Wisconsin are hiring for Artificial Intelligence Machine Learning Engineer jobs? Cities in Wisconsin with the most Artificial Intelligence Machine Learning Engineer job openings:
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,973 per year, or $62.5 per hour.

Artificial Intelligence Engineer III

Insperity

Madison, WI

$58 - $77.75/hr

Full-time

Medical, Dental, Vision, PTO

Re-posted 12 days ago


Insperity rating

7.9

Company rating: 7.9 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

131st of 485 rated business services


Job description

Insperity provides the most comprehensive suite of scalable HR solutions available in the marketplace with an optimal blend of premium HR service and technology. With more than 90 locations throughout the U.S., Insperity is currently making a difference for thousands of businesses and communities nationwide.

Behind our success is the unshakeable belief in the value of our people. We value diversity, inclusivity and a sense of belonging. We celebrate work and life events, and we partner with our clients and communities to make great things happen.

We've earned recognition time and again as a top place to work-named among the best by respected organizations like Glassdoor and U.S. News & World Report. We're also proud to be recognized for one of the country's Top 50 Midsize Early Talent Programs through RippleMatch's Campus Forward Awards. There's never been a better time to be part of Insperity, and our best work is still ahead. Learn more at Insperity.com.

Why Insperity?

Flexibility: Over 80% of Insperity's jobs have flexibility. We want your time to have balance, whether it's spent with coworkers, clients, family or your community.

Career Growth: Insperity provides many ways to grow with the company. We offer continuous learning programs, mentorship opportunities and ongoing training.

Well-Being: Our total rewards package includes generous paid time off, top-tier medical, dental and vision benefits, health & wellness support, paid volunteer hours and much more. We take care of our people so that you can do your best work.

We are seeking an Artificial Intelligence Engineer III to join our team

Summary:

This position is responsible for designing, delivering, and owning complex, production grade artificial intelligence systems that address ambiguous and high impact business problems. This role applies advanced software, data science, machine learning, and LLM engineering expertise to build AI powered applications, model driven solutions, and intelligently automated workflows. The AI Engineer III operates with a high degree of autonomy, making architectural and technical decisions while ensuring solutions are reliable, measurable, secure, and aligned with enterprise AI standards.

Responsibilities:

  • Designs and owns end-to-end AI solutions, including LLM-based applications, classical machine learning models, and hybrid approaches.

  • Builds and operates complex AI systems such as agentic workflows, retrieval-augmented generation (RAG) platforms, and decision-support solutions.

  • Evaluates ambiguous business problems and determines appropriate AI patterns, modeling techniques, and system architectures.

  • Defines and implements evaluation strategies, metrics, and feedback loops to measure model effectiveness and business impact.

  • Leads the development of data pipelines, feature strategies, and evaluation datasets required to support AI systems.

  • Owns production readiness, including performance, reliability, cost, observability, and failure handling.

  • Identifies and mitigates risks related to bias, hallucination, data leakage, and unintended AI behavior.

  • Collaborates cross-functionally with product management, platform teams, and stakeholders to guide solution design and delivery.

  • Mentors and provides technical guidance to other team members.

  • Contributes to the establishment and evolution of AI engineering standards, patterns, and best practices.

Qualifications:

  • Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related technical field, or equivalent practical experience.

  • Five or more years of professional experience spanning software engineering, data science, machine learning engineering, or AI system development.

  • Advanced proficiency in software engineering, including Python, APIs, testing, and system design.

  • Advanced proficiency in one or more large scale data platform such as Snowflake, Databricks, Amazon Redshift, Microsoft Synapse, or similar.

  • Strong applied knowledge of machine learning and artificial intelligence concepts, evaluation techniques, and failure modes.

  • Hands-on experience designing, building, and deploying LLM based systems using enterprise grade platforms and frameworks.

  • Experience with one or more AI orchestration frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar.

  • Deep understanding of data quality, feature relevance, and model behavior across structured and unstructured data.

  • Experience deploying, monitoring, and iterating on AI systems in production environments.

  • Ability to make and defend technical tradeoff decisions balancing accuracy, cost, risk, and scalability.

  • Strong communication and leadership skills, with the ability to influence technical direction and mentor others.

This job specification should not be construed to imply that these requirements are the exclusive standards of the position. Incumbent will follow any other instructions, and perform any other related duties, as may be required by the supervisor.

At Insperity, we celebrate the diversity of our employees and our leadership. Insperity is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.


What Insperity employees say

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Benefits

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About Insperity

Sourced by ZipRecruiter

Take care of your people Insperity has a long history of improving the success equation of small and midsize businesses across the country – because when businesses succeed, communities prosper. And in today’s changing business environment, it’s our privilege to take care of an organization’s most valuable asset: its people.

Company size

1,001 - 5,000 Employees

Headquarters location

Houston, TX, US

Year founded

1986

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