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Artificial Intelligence And Machine Learning Jobs in Wisconsin

WI · On-site

$120 - $180/hr

Provide thought leadership for machine learning and advanced analytics methods at Boeing and externally * Engage with stakeholders across the business to identify applications across the enterprise ...

New

Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...

Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...

Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...

Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...

Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...

Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...

Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...

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Artificial Intelligence And Machine Learning information

See Wisconsin salary details

$14

$26

$49

How much do artificial intelligence and machine learning jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for artificial intelligence and machine learning in Wisconsin is $26.59, according to ZipRecruiter salary data. Most workers in this role earn between $21.59 and $28.12 per hour, depending on experience, location, and employer.

What jobs can I get with artificial intelligence and machine learning?

Jobs in artificial intelligence and machine learning include roles such as AI engineer, machine learning engineer, data scientist, research scientist, and AI software developer. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools such as TensorFlow or PyTorch. They are found across industries including technology, finance, healthcare, and automotive sectors.

What are some common challenges faced by professionals working in artificial intelligence and machine learning roles?

Professionals in AI and Machine Learning often encounter challenges such as managing large datasets, ensuring data quality, and selecting the most appropriate algorithms for specific problems. Additionally, they must stay up-to-date with rapidly evolving technologies and frameworks, which requires continuous learning. Collaborating with cross-functional teams, such as data engineers and domain experts, is vital for translating business needs into effective AI solutions. Balancing project deadlines with the experimentation and iteration needed for model development can also be demanding.

What is artificial intelligence and machine learning?

Artificial Intelligence (AI) refers to the development of computer systems that can perform tasks typically requiring human intelligence, such as reasoning, problem-solving, and understanding language. Machine Learning (ML) is a subset of AI that focuses on creating algorithms and statistical models that enable computers to learn from data and improve their performance over time without being explicitly programmed. Together, AI and ML are used in a wide range of applications, from virtual assistants and recommendation systems to autonomous vehicles and medical diagnosis. These technologies are rapidly evolving and have a significant impact across many industries.

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

To thrive as an AI/ML Engineer, you need strong skills in mathematics, statistics, programming (Python, R), and a solid understanding of machine learning algorithms, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and tools like scikit-learn, as well as experience with cloud platforms and relevant certifications, is highly valuable. Critical thinking, creativity, and effective communication help in solving complex problems and collaborating across interdisciplinary teams. These skills are crucial for developing robust AI solutions that drive innovation and deliver tangible business value.

Is artificial intelligence and machine learning a good career?

Artificial Intelligence and Machine Learning are rapidly growing fields with high demand for skilled professionals, offering competitive salaries and diverse opportunities across industries. Success typically requires strong programming skills, knowledge of algorithms, and experience with tools like Python and TensorFlow. It is considered a promising career path for those interested in technology and data analysis.
What are popular job titles related to Artificial Intelligence And Machine Learning jobs in Wisconsin? For Artificial Intelligence And Machine Learning jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence And Machine Learning jobs in Wisconsin look for? The top searched job categories for Artificial Intelligence And Machine Learning jobs in Wisconsin are:
What cities in Wisconsin are hiring for Artificial Intelligence And Machine Learning jobs? Cities in Wisconsin with the most Artificial Intelligence And Machine Learning job openings:
Infographic showing various Artificial Intelligence And Machine Learning job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $55,316 per year, or $26.6 per hour.

Lead Artificial Intelligence/Machine Learning Data Scientist

Jobtailor

WI • On-site

$120 - $180/hr

Other

Posted 2 days ago

New


Job description

Responsibilities
  • Evaluate business objectives, collaborate in user research, understand process nuances, determine stakeholder needs, and identify requirements
  • Champion the AI cause with stakeholder groups, educate and excite sponsors about possibilities offered by the data science discipline
  • Choose best fit methods, define algorithms, validate, and deploy models to achieve business results
  • Build AI solutions iteratively, in short cycles to enable a fail‑fast, rapid learning environment
  • Perform necessary data preparation and enhancements to models
  • Interface directly with senior business leaders and stakeholders to architect and lead the development of advanced analytics solutions supporting Aircraft operations, Engineering, Supply Chain, Manufacturing, Quality, and Safety
  • Work with data scientists leads across domains to ensure functional excellence in this technical field and will provide mentoring, technical leadership, and training to the data scientist community to accelerate and develop the talent base
  • Provide thought leadership for machine learning and advanced analytics methods at Boeing and externally
  • Engage with stakeholders across the business to identify applications across the enterprise, beyond the initial use case, and lead the implementation of these applications to capture business value
  • Evaluate technologies, assist in identifying capability gaps, develop and teach best practices and technology standards, and work alongside the rest of the global data scientists and technical leads in Analytics organization
  • Ensure analytics solutions meet the business requirements and are implemented in a timely manner to validate business value
  • Work effectively with cross-functional teams in the analysis of highly complex data sets using advanced analytics techniques such as machine learning, advanced statistical analysis, visual analysis, text analysis, mathematical optimization, and simulation
  • Identify modeling attributes and parameters
  • Follow best practices and standard processes for model validation and refinement as per business requirements
  • Assess performance of models and analysis and confirm that business objectives were met
  • Work with business unit stakeholders to develop and sustain analytics solutions
Requirements
  • 10+ years of experience working with projects, teams, and/or leaders in the analytics and data science space
  • 10+ years of experience with various machine learning methods such as regression, clustering, classification, decision trees, natural language processing, ensemble methods, support vector machines (SVM), deep learning, reinforcement learning, etc.
  • 5+ years of experience in designing and implementing Natural Language Processing (NLP) models using machine learning techniques including neural networks, deep learning and transformer architectures
  • 5+ years of experience researching and applying large language and generative AI models
  • Master’s degree in data science or equivalent (preferred)
  • Experience developing and implementing end-to-end Agentic AI solutions (preferred)
  • Experience in supply chain domain (preferred)
  • Experience in agile and product-oriented development (preferred)
  • Experience in building ML models and bringing them to full production use within the industry (preferred)
  • Experience training machine learning models in a cloud computing environment such as: Amazon Web Services, Google Cloud Platform, Microsoft Azure (preferred)
  • Experience programming in one or more of the following: C, C++, Java, Python, Scala (preferred)
  • Experience with statistical software and database languages (e.g., SQL) (preferred)
  • Experience in advanced statistics (e.g., probability theory and distributions, descriptive statistics, matrix algebra, multivariate statistics, polynomial analysis, parametric and non-parametric methods, etc.) (preferred)
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