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Entry Level Machine Learning Engineer Jobs in Milwaukee, WI

Design Engineer II

Brookfield, WI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

And we're pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence. Behind our doors you'll be empowered every day to ...

Design Engineer II

Brookfield, WI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

And we're pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence. Behind our doors you'll be empowered every day to ...

As a Data Scientist your work may be focused in a variety of areas, including Machine learning ... S. degree in computer science, engineering with a strong statistical and programming background.

As a Data Scientist your work may be focused in a variety of areas, including Machine learning ... S. degree in computer science, engineering with a strong statistical and programming background.

As a Data Scientist your work may be focused in a variety of areas, including Machine learning ... S. degree in computer science, engineering with a strong statistical and programming background.

Electrical Engineer I - NPD

Brookfield, WI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

And we're pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence. Behind our doors you'll be empowered every day to ...

Electrical Engineer I - NPD

Brookfield, WI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

And we're pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence. Behind our doors you'll be empowered every day to ...

Electrical Engineer I - NPD

Brookfield, WI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

And we're pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence. Behind our doors you'll be empowered every day to ...

Firmware Engineer II

Brookfield, WI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

And we're pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence. Behind our doors you'll be empowered every day to ...

Firmware Engineer II

Brookfield, WI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

And we're pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence. Behind our doors you'll be empowered every day to ...

Electrical Engineer I - NPD

Brookfield, WI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

Our Engineering Team is responsible for giving life to thebatteries,motors,and electronics that ... machine learning, and the use of artificial intelligence. Behind our doors you'll be empowered ...

Electrical Engineer I - NPD

Brookfield, WI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

Our Engineering Team is responsible for giving life to thebatteries,motors,and electronics that ... machine learning, and the use of artificial intelligence. Behind our doors you'll be empowered ...

Firmware Engineer II

Brookfield, WI

  • Medical

  • Dental

  • Vision

  • Retirement

Firmware Engineer INNOVATE WITHOUT BOUNDARIES! At Milwaukee Tool we firmly believe that our People ... machine learning, and the use of artificial intelligence. Behind our doors you'll be empowered ...

Electrical Engineer II

Brookfield, WI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

And we're pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence. Behind our doors you'll be empowered every day to ...

Showing results 41-60

Entry Level Machine Learning Engineer information

See Milwaukee, WI salary details

$29.5K

$68.2K

$116K

How much do entry level machine learning engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for entry level machine learning engineer in Milwaukee, WI is $68,159.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,600.00 and $77,100.00 per year, depending on experience, location, and employer.

What is an entry level machine learning engineer?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are some typical projects or tasks an entry level machine learning engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

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

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

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 Entry Level Machine Learning Engineer jobs in Milwaukee, WI?

For Entry Level Machine Learning Engineer jobs in Milwaukee, WI, the most frequently searched job titles are:

What job categories do people searching Entry Level Machine Learning Engineer jobs in Milwaukee, WI look for?

The top searched job categories for Entry Level Machine Learning Engineer jobs in Milwaukee, WI are:

What cities near Milwaukee, WI are hiring for Entry Level Machine Learning Engineer jobs?

Cities near Milwaukee, WI with the most Entry Level Machine Learning Engineer job openings:

Infographic showing various Entry Level Machine Learning Engineer job openings in Milwaukee, WI as of August 2026, with employment types broken down into 76% Full Time, and 24% Contract. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $68,159 per year, or $32.8 per hour.

Assistant Professor of Practice

Jacobs Levy Equity Management

Milwaukee, WI • On-site

$75 - $105/hr

Other

Posted yesterday

New


Job description

Marquette University’s Department of Finance invites applications for a full-time, non-tenure track Assistant Professor of Practice. This position supports the College of Business Administration’s newly launched AI in Business major and contributes to the Finance Department’s growing emphasis on the intersection of artificial intelligence, data-driven decision-making, and financial practice. The successful candidate will be an innovative educator with applied expertise in AI and finance, committed to preparing students for careers in a rapidly evolving industry.

The candidate will teach courses in AI in Finance and related areas, with a standard load of 24 credit hours per academic year. A reduced load of 18 credit hours per year may be considered for candidates who hold a Ph.D. or terminal degree and maintain an active research agenda. Responsibilities include:

  • Teach undergraduate and/or graduate courses in AI in Finance, fintech, data analytics for finance, and related subjects;
  • Develop and update course materials to reflect current tools, industry practices, and emerging applications of AI in financial services;
  • Contribute to the College’s AI in Business major through curriculum design, cross-departmental collaboration, and advising;
  • Mentor and advise students on academic and career development;
  • Participate in departmental, college, and university service, including committee work, program assessment, and shared governance;
  • Pursue scholarly or applied research in AI and finance (a Ph.D. or terminal degree plus an active research agenda is required for 18-credit load consideration).

Required Knowledge, Skills, and Abilities

  1. Master’s degree in Finance, Financial Engineering, Data Science, or a closely related field from an AACSB-accredited institution.
  2. Demonstrated experience applying artificial intelligence or machine learning tools in a finance or business context.
  3. Evidence of effective college-level teaching or strong potential for teaching excellence.
  4. Strong communication skills and a demonstrated commitment to student engagement and learning.

Preferred Knowledge, Skills, and Abilities

  1. Ph.D. in Finance, Financial Economics, Data Science, or a related field; strongly preferred.
  2. Or industry experience in fintech, quantitative finance, algorithmic trading, or AI-driven financial applications.
  3. Experience developing or teaching courses that integrate Python, machine learning, or artificial intelligence tools into a finance curriculum.
  4. Familiarity with undergraduate or graduate AI in Business program design.
  5. Active research agenda in artificial intelligence, fintech, or quantitative finance.
  6. Relevant professional or technical certifications, such as the CFA designation or certifications in Python for Data Science or Machine Learning.
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