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Junior Machine Learning Engineer Jobs in Racine, WI

Varsity Tutors

Machine Learning Tutor

Milwaukee, WI · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

SynergisticIT

ML Engineer (Junior)

Milwaukee, WI

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions ...

Deloitte

Senior AI Engineer - SFL Scientific

Milwaukee, WI · On-site

$103K - $141K/yr

Work with clients to design, develop, and deploy new architectures to support machine learning ... Mentor, motivate, and coach junior members on technical best practices and inspire professional ...

Cliftonlarsonallen

Senior AI Engineer

Racine, WI

$98K - $134K/yr

You will work closely with AI leadership while providing day-to-day technical guidance to junior team members. This position blends applied machine learning, software engineering, cloud architecture ...

CLA (CliftonLarsonAllen)

Senior AI Engineer

Racine, WI · On-site

$98K - $134K/yr

... on machine learning, optimization, and generative AI while providing technical guidance to junior ... engineers • Lead architecture reviews, code reviews, and technical design discussions • ...

Pwc

CTIO AI Engineering Manager

Milwaukee, WI

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... junior staff while upholding remarkable standards of quality and innovation in deliverables.

KOHLS

Data Scientist II (Remote)

Menomonee Falls, WI · On-site +1

Develop and implement statistical and machine learning models * Fine-tune, optimize and ensure the ... Mentor and guide junior data scientists, providing technical expertise and fostering a culture of ...

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 ... Responsibilities - Mentor junior engineers and foster their growth - Maintain security and ...

Pwc

AI & GenAI Data Scientist-Senior Associate

Milwaukee, WI · On-site

$77K - $202K/yr

... junior team members and fostering a collaborative work environment What You Must Have - At least a ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

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All JobsMachine Learning Engineer JobsJunior Machine Learning Engineer JobsJunior Machine Learning Engineer Jobs in Racine, WI

Junior Machine Learning Engineer information

See Racine, WI salary details

$31.4K

$67.3K

$102.7K

How much do junior machine learning engineer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for junior machine learning engineer in Racine, WI is $67,325.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,500.00 and $75,000.00 per year, depending on experience, location, and employer.

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

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What kinds of projects and responsibilities can a Junior Machine Learning Engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

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

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

What does a Junior Machine Learning Engineer do?

A Junior Machine Learning Engineer assists in developing, testing, and deploying machine learning models under the supervision of senior engineers or data scientists. Their responsibilities often include data preprocessing, feature engineering, and implementing algorithms using frameworks like TensorFlow or PyTorch. They also help maintain data pipelines and ensure models perform efficiently in production environments. This role is typically entry-level, providing valuable hands-on experience in applying machine learning concepts to real-world problems.

What Does a Junior Machine Learning Engineer Do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

More about Junior Machine Learning Engineer jobs
What job categories do people searching Junior Machine Learning Engineer jobs in Racine, WI look for? The top searched job categories for Junior Machine Learning Engineer jobs in Racine, WI are:
What cities near Racine, WI are hiring for Junior Machine Learning Engineer jobs? Cities near Racine, WI with the most Junior Machine Learning Engineer job openings:
Junior Machine Learning Engineer jobs near you
Infographic showing various Junior Machine Learning Engineer job openings in Racine, WI as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $67,325 per year, or $32.4 per hour.

Machine Learning Engineer II - Adaptive Application Algorithm

Milwaukee Tool

Brookfield, WI • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 5 days ago

Job description

Job Description:
INNOVATE WITHOUT BOUNDARIES!
At Milwaukee Tool we firmly believe that our People and our Culture are the secrets to our success - so we give you unlimited access to everything you need to create disruptive new technologies and solutions on our engineering teams.
Our Engineering Team is responsible for giving life to the batteries, motors, and electronics that power solutions changing the lives of our users. Every developmental phase of these critical components happens in-house under the watch of this team. We continue to invest in electrical engineering resources to design and develop leadership in electronic capabilities; something unique within the industry. 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 own it, drive it, and do what it takes to design and develop the biggest breakthroughs in the industry.
Meanwhile, you'll have the support and resources of the fastest-growing brand in the construction industry to make it happen. Year after year, our team continues to make significant breakthroughs in the industry. We're just getting started. To learn more about our story click HERE.
At Milwaukee Tool we firmly believe that our People and our Culture are the secrets to our success - so we give you unlimited access to everything you need to create disruptive new technologies and solutions on our Advanced Engineering & Technology team.
Our Team's Technology Obsession
The Adaptive Application Algorithm development team is the trusted research and knowledge bank that accelerates and delivers technological disruptive innovation to the organization. We work with cutting-edge engineering tools and spearhead the development of industry-defining technologies. Our collaborative and supportive work environment encourages out-of-the-box thinking, challenges traditional approaches, and empowers us to explore groundbreaking ideas. We are committed to staying ahead of the curve, continuously investing in research and development, and ensuring that our engineers have access to the most advanced technology.
The ideal candidate is a curious self-starter, who can drive several projects of high complexity. They are passionate about working in the ambiguous early research and development phase of engineering technologies and are eager to leverage their diverse background in Machine Learning (ML) and Artificial Intelligence (AI). They have a history of bringing fundamental technology principles to tangible applications that deliver innovation. They are hands-on, fail forward, and collaborate regularly with our cross-discipline team of various skillsets including Electrical Engineering, Cloud Architecture, Mechanical Engineering, Machine Learning Engineering, and other technical disciplines. Your extensive experience across multiple areas of Machine Learning will be invaluable in driving forward our cutting-edge projects and delivering impactful solutions.
You'll be DISRUPTIVE through these duties and responsibilities:
  • Research and introduce emergent technologies into the business which empower future product development,
  • Leverage your diverse background and deep skillset in Machine Learning to deliver technological innovation.
  • Execute applied ML for Advanced Engineering and R&D settings through proof of concepts and pilots.
  • Stay ahead of industry trends related to AI, ML, and Cloud technologies - while rapidly evaluating their fit.
  • De-risk technologies prior to business introduction by leveraging multiple approaches such as: Technology Readiness Level process, start-up engagements, and joint developments.
  • Support the engagement of external partnerships, internal partnerships, or university engagements to accelerate technology delivery.
  • Foster collaboration not only within your discipline but also with subject matter experts across the business, including mechanical, electrical and design engineers.

What TOOLS you'll bring with you:
  • Proven track record of developing, deploying, and implementing impactful AI or ML solutions connected to business objectives.
  • Effective at evaluating technology feasibility and moving through development process.
  • Demonstrated experience using fundamental ML techniques such as unsupervised, supervised, regression, dimensionality reduction, or similar.
  • Familiar with advanced Machine Learning and AI methods such as CNN's, transformers, NLP, Computer Vision, or similar.
  • Capable of developing robust MLOps pipelines to ensure efficient deployment, monitoring, and scaling of ML models.
  • Can developed in cloud, local, or edge environments leveraging associated libraries and tools.
  • Comfortable with Data Engineering, Data Collection, ETL, and data architecture principles.
  • Familiar with different types of data collection methods or hardware in an engineering lab setting.
  • Insatiably curious about emergent technologies, understanding their principles, and demonstrating their value in relevant environments.
  • Bachelor of Science degree in Machine Learning, Data Science, Electrical Engineering, Computer Science, or related field.
  • 2+ Years experience using Machine Learning Engineering skillsets in Research and Development, Advanced Engineering, or Lab environment.
  • Excellent technical communication skills and fundamental project management abilities.
  • Periodic travel may be required, up to 10%.
  • Hands on experience.

We provide these great perks and benefits:
  • Robust health, dental and vision insurance plans.
  • Generous 401 (K) savings plan.
  • Education assistance.
  • On-site wellness, fitness center, food, and coffee service.
  • And many more, check out our benefits site HERE.

Milwaukee Tool is an equal opportunity employer.

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