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Machine Learning Jobs in Wauwatosa, WI (NOW HIRING)

DR Power LLP

Principal Data & AI Architect

Waukesha, WI · On-site

$140 - $190/hr

Expertise in machine learning algorithms, Neural networks, Genetic Algorithms, Decision trees, Business dynamic models, Agent based models, Advanced statistical techniques and operations research.

Generac

Principal Data & AI Architect

Waukesha, WI · On-site

Lead the design and development of Data & AI architectures, including designing and architecting Enterprise data/MDM solutions, machine learning models, deep learning frameworks, and generative AI ...

FIS

Data Scientist

Milwaukee, WI · On-site

Following the machine learning lifecycle, the data scientist should be able to convert the results into actionable product recommendations to present internally and externally. What you'll be doing:

Worldpay, Inc.

Data Scientist Lead

Milwaukee, WI

Following the machine learning lifecycle, the data scientist should be able to convert the results into actionable product recommendations to present internally and externally. What you'll be doing:

FIS

Data Scientist Lead

Milwaukee, WI

Following the machine learning lifecycle, the data scientist should be able to convert the results into actionable product recommendations to present internally and externally. What you'll be doing:

Worldpay, Inc.

Data Scientist

Milwaukee, WI · On-site

Following the machine learning lifecycle, the data scientist should be able to convert the results into actionable product recommendations to present internally and externally. What you'll be doing:

Pwc

AI Engineer

Milwaukee, WI

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

ManpowerGroup

Data Scientist

Milwaukee, WI · On-site

Details Making an Impact Design and create experimental analytical and machine learning solutions that quantify variable impacts on desired business outcomes using statistical, mathematical, and AI ...

New

Manpower

Data Scientist

Milwaukee, WI

Details Making an Impact Design and create experimental analytical and machine learning solutions that quantify variable impacts on desired business outcomes using statistical, mathematical, and AI ...

New

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Showing results 21-40

All JobsMachine Learning JobsMachine Learning Jobs in Wauwatosa, WI

Machine Learning information

See Wauwatosa, WI salary details

$24.8K

$41.4K

$85.5K

How much do machine learning jobs pay per year?

As of Sep 2, 2026, the average yearly pay for machine learning in Wauwatosa, WI is $41,385.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,600.00 and $44,700.00 per year, depending on experience, location, and employer.

What is a machine learning?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are the typical day-to-day responsibilities in a machine learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What are the key skills and qualifications needed to thrive in a machine learning position?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

Is machine learning a high paying job?

Machine learning engineers and specialists are generally among the higher-paid roles in the tech industry due to their advanced skills in algorithms, programming, and data analysis. Salaries vary based on experience, location, and industry, but the field is known for competitive compensation compared to many other tech roles.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What cities near Wauwatosa, WI are hiring for Machine Learning jobs?

Cities near Wauwatosa, WI with the most Machine Learning job openings:

Machine Learning jobs near you
Infographic showing various Machine Learning job openings in Wauwatosa, WI as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 28% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $41,385 per year, or $19.9 per hour.

Principal Data & AI Architect

Generac Power Systems Inc

North Prairie, WI • On-site

$150 - $210/hr

Other

Posted 10 days ago

Job description

We believe power is a promise - a shared commitment to be there for others when it matters most.For more than 65 years, we've turned big ideas into solutions that help protect homes, strengthen businesses and build a more resilient, efficient, sustainable energy future.Ready to Power a Smarter World with us?The Principal Data & AI Architect will be responsible for designing, developing, and implementing advanced Data & AI solutions and architectures that align with the company’s strategic goals and objectives.This role requires deep technical expertise, leadership, and the ability to collaborate across cross-functional teams to deliver scalable and innovative AI solutions.Major Responsibilities :Lead the design and development of Data & AI architectures, including designing and architecting Enterprise data/MDM solutions, machine learning models, deep learning frameworks, and generative AI systems. Responsible for analyzing, implementing and deploying these solutions both on-premises and in the cloud.Define technical strategies and roadmaps for Data & AI-driven projects, ensuring alignment with business objectives.Collaborate with data scientists, data engineers, business functional and product teams to integrate Data & AI solutions into production environments.Advice, oversee the evaluation and adoption of Data & AI technologies, tools, and platforms.Serve as the technical leader and mentor to Data & AI and engineering teams.Deliver scalable, secure, and optimized Data & AI solutions.Lead Data & analytic literacy of the organization and serve as a translator of deep technical concepts into simple business vernacular.Be aware and lead industry trends and advancements in Data & AI to help maintain a competitive edge.Communicate complex technical concepts to non-technical stakeholders effectively.This is an individual contributor role.Minimum Job Requirements:EducationAdvanced degree (Master’s or Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, or a related field also acceptable.Work Experience8 or more years of experience in AI, machine learning, or data science, with at least 4 years in a senior or lead architect role.Proven track record of designing and deploying large-scale Data & AI systems in production environments.Experience leading cross-functional teams in the delivery of complex AI projects.Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and AI frameworks (e.g., TensorFlow, PyTorch, scikit-learn).Knowledge / Skills / AbilitiesMust be deeply curious, desire to experiment.Expertise in machine learning algorithms, Neural networks, Genetic Algorithms, Decision trees, Business dynamic models, Agent based models, Advanced statistical techniques and operations research.Strong proficiency in programming languages such as Python, R, or Java.Ability to design scalable, secure, and efficient AI architectures.Exceptional problem-solving and analytical skills.Strong leadership and mentorship abilities, with a focus on fostering innovation and collaboration.Excellent communication skills, capable of translating technical concepts to diverse audiences.Ability to work in a fast-paced, dynamic environment and manage multiple priorities.Preferred Job Requirements:EducationPh.D. In Operations Research, Data Science, or a closely related field.Master’s degree in a relevant field with significant research or project work in AI or machine learning.Certification / LicenseRelevant certifications such as AWS Certified Machine Learning – Specialty, Google Professional Machine Learning Engineer, or Microsoft Certified: Azure AI Engineer Associate.Work ExperienceExperience with generative AI and reinforcement learning.Knowledge / Skills / AbilitiesPublications or patents in AI, machine learning, or related fields.Familiarity with DevOps practices and MLOps pipelines for AI deployment.Experience in industries such as healthcare, finance, or technology.Physical Requirements and Working ConditionsWhile performing the duties of this job, the employee is regularly required to talk and hear; and use hands to manipulate objects or controls. The employee is regularly required to stand and walk. On occasion, the incumbent may be required to stoop, bend, or reach above the shoulders. The employee must occasionally lift up to 25 pounds. Specific conditions of this job are typical of frequent and continuous computer-based work requiring periods of sitting, close vision, and the ability to adjust focus. Occasional travel.“We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law.” #J-18808-Ljbffr

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