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Machine Learning Engineer Jobs in Milwaukee, WI (NOW HIRING)

Pwc

NGA AI Engineer Senior Manager

Milwaukee, WI

$91K - $321K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Pwc

US Tech - AI Engineering Senior Associate

Milwaukee, WI · On-site

$55K - $187K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Generac

Senior Engine Code Engineer

Waukesha, WI · On-site

$104K - $143K/yr

The Senior Engine Code Engineer plays an important role in advancing the design and performance of ... Familiarity with machine learning and predictive analytics techniques applied to engine performance ...

Milwaukee Tool

Controls Engineer

Menomonee Falls, WI · On-site

$83K - $108K/yr

... systems, machine learning, and AI-enabled manufacturing. This role partners with engineering ... manufacturing, quality, IT, analytics, suppliers, and global sites to turn emerging technologies ...

Milwaukee Tool

Controls Engineer

Menomonee Falls, WI · On-site

$83K - $108K/yr

... systems, machine learning, and AI-enabled manufacturing. This role partners with engineering ... manufacturing, quality, IT, analytics, suppliers, and global sites to turn emerging technologies ...

SmartIPlace

DevOps Engineer[remote]

Milwaukee, WI · Remote

$54 - $74/hr

SQL Server, Azure SQL DB, HDInsight/Hadoop, Machine Learning, Cosmos DB * Experience with continuous integration and deployment automation tools such as Azure DevOps (ADO), GitHub Actions, Jenkins

Cliftonlarsonallen

Lead ML Ops Engineer

Milwaukee, WI · On-site

$101K - $133K/yr

This role manages a team of Machine Learning Operations Engineers, oversees the endtoend machinelearning strategy and execution, sets vision for MLOps, and ensures alignment with business goals. How ...

Cliftonlarsonallen

Lead ML Ops Engineer

Racine, WI

$96K - $126K/yr

This role manages a team of Machine Learning Operations Engineers, oversees the endtoend machinelearning strategy and execution, sets vision for MLOps, and ensures alignment with business goals. How ...

Pwc

US Tech - AI Engineering Manager

Milwaukee, WI

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Milwaukee Tool

Automation Engineer

Menomonee Falls, WI · On-site

... machine learning, and AI-enabled applications. Working with engineering, manufacturing, quality, IT, data analytics, suppliers, integrators, and global sites, you will turn emerging technologies into ...

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Showing results 1-20

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Milwaukee, WI

Machine Learning Engineer information

See Milwaukee, WI salary details

$31K

$126.9K

$190.6K

How much do machine learning engineer jobs pay per year?

As of Jul 10, 2026, the average yearly pay for machine learning engineer in Milwaukee, WI is $126,869.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $152,700.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in tech giants or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as AI advances, as they develop and refine algorithms, models, and systems. Roles that require complex problem-solving, creativity, and domain expertise—such as healthcare professionals, data scientists, software developers, cybersecurity specialists, and AI ethics officers—are also expected to persist due to their reliance on human judgment and specialized knowledge. These jobs often involve skills that are difficult for AI to fully replicate or replace.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What engineers make $300,000 a year?

Senior machine learning engineers and data scientists with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-cost-of-living areas or top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Milwaukee, WI? The most popular types of Machine Learning Engineer jobs in Milwaukee, WI are:
What are popular job titles related to Machine Learning Engineer jobs in Milwaukee, WI? For Machine Learning Engineer jobs in Milwaukee, WI, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer jobs in Milwaukee, WI look for? The top searched job categories for Machine Learning Engineer jobs in Milwaukee, WI are:
What cities near Milwaukee, WI are hiring for Machine Learning Engineer jobs? Cities near Milwaukee, WI with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Milwaukee, WI as of July 2026, with employment types broken down into 78% Full Time, 11% Contract, and 11% Nights. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $126,869 per year, or $61 per hour.
Sr. Electrical Engineers - NPD Lighting & Lifestyle

Sr. Electrical Engineers - NPD Lighting & Lifestyle

Milwaukee Tool

Milwaukee, WI • On-site

$105K - $137K/yr

Full-time

Posted 16 days ago

Job description

Sr Electrical Engineer
Job Description:
Sr. Electrical Engineers - NPD Lighting & Lifestyle
551 N. 5th Street, Milwaukee, WI 53203
Job Description
• Work with a cross-functional team to identify features, functions, and requirements for conceptual electronics systems.
• Lead the design of electronic systems by creating prototypes and concept models.
• Understand machine learning to support integration with embedded electrical systems and sensor interfaces.
• Draw concise, logical, written conclusions from experiments based on data analysis.
• Design and debug Bluetooth and wireless communication interfaces in embedded systems.
• Lead product development from concept to production.
• Use laboratory equipment typically utilized in an electronics development environment.
• Identify tradeoffs and solutions to problems in a high urgency environment.
• Gain knowledge, understanding, and implementation of any new technologies relevant to the company's industry.
• Supervise the work of 2-3 Electrical Engineers.
Master's degree in Electrical Engineering, related engineering field, or foreign degree equivalent, and 2 years of relevant experience as an Electrical Engineer, or alternate related acceptable occupation; OR Bachelor's degree in Electrical Engineering, related engineering field, or foreign degree equivalent, and 5 years of relevant experience as an Electrical Engineer, or alternate related acceptable occupation.
Work or academic experience must have included:
1. Power electronics, motors, and motor control systems.
2. Analog circuitry and embedded systems, including power electronics and sensors.
3. Firmware development and programing best practices, including Embedded C.
4. USB power systems and battery charging systems.
5. Electromagnetic Compliance (EMC) and Electromagnetic Interference (EMI).
6. Machine Learning.
7. Schematic design tools (including Altium), PCBA layout tools, circuit simulation, system design and architecture, and requirements creation and management.
10% of domestic and international travel required.
#LI-DNI
Milwaukee Tool is an equal opportunity employer.

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