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Junior Machine Learning Engineer Jobs in Racine, WI

CliftonLarsonAllen

Lead ML Ops Engineer

Milwaukee, WI · On-site

$101K - $133K/yr

This role manages a team of Machine Learning Operations Engineers, oversees the end-to-end machine-learning strategy and execution, sets vision for MLOps, and ensures alignment with business goals.

Milwaukee Tool

Firmware Engineer II

Brookfield, WI · On-site

... machine learning, and the use of artificial intelligence. Behind our doors you'll be empowered ... Experience leading projects or mentoring junior firmware engineers. * Excellent problem-solving ...

Milwaukee Tool

Firmware Engineer II

Brookfield, WI · On-site

... machine learning, and the use of artificial intelligence. Behind our doors you'll be empowered ... Experience leading projects or mentoring junior firmware engineers. * Excellentproblem-solving ...

Pwc

NGA AI Engineer 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 ...

Pwc

NGA AI Engineer Senior Manager

Milwaukee, WI · On-site

$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 ...

Milwaukee Tool

Sr. Electrical Engineer - NPD

Brookfield, WI · On-site

$101K - $132K/yr

... systems,machine learning, and the use of artificial intelligence. Behind our doorsyou'llbe ... Serve as a rolemodelMilwaukee Tool's culture while mentoring, guiding,andcoaching junior Engineers.

Milwaukee Tool

Sr. Electrical Engineer - NPD

Brookfield, WI · On-site

$101K - $132K/yr

... machine learning, and the use of artificial intelligence. Behind our doors you'll be empowered ... Serve as a role model Milwaukee Tool's culture while mentoring, guiding, and coaching junior ...

Milwaukee Tool

Electrical Engineer II

Brookfield, WI · On-site

... systems,machine learning, and the use of artificial intelligence. Behind our doorsyou'llbe ... Role model Milwaukee Tool's culture while providing technical guidance and mentorship to junior ...

Milwaukee Tool

Electrical Engineer II

Brookfield, WI · On-site

... machine learning, and the use of artificial intelligence. Behind our doors you'll be empowered ... Role model Milwaukee Tool's culture while providing technical guidance and mentorship to junior ...

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

$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

Electrical Engineer II

Brookfield, WI · On-site

... machine learning, and the use of artificial intelligence. Behind our doors you'll be empowered ... Role model Milwaukee Tool's culture while providing technical guidance and mentorship to junior ...

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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 Jul 11, 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 supervision. They work with data preprocessing, feature engineering, and use tools like Python and libraries such as TensorFlow or scikit-learn to support AI projects. This role often requires foundational knowledge of algorithms, programming, and data analysis.

How much does a junior machine learning engineer make?

A junior machine learning engineer typically earns between $70,000 and $100,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and expertise in deploying large-scale models can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within top tech companies. Achieving this level often requires advanced degrees, specialized certifications, and a strong track record of impactful projects.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers or AI research directors, often requiring advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. These positions usually involve leadership, strategic planning, and significant experience, and they tend to be found in large tech companies or specialized AI firms.

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 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
Lead ML Ops Engineer

Lead ML Ops Engineer

CliftonLarsonAllen

Milwaukee, WI • On-site

$101K - $133K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 2 days ago

CliftonLarsonAllen rating

7.4

Company rating: 7.4 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

15th of 17 rated bookkeepers and accountants

Job description

LA is a top 10 national professional services firm where our purpose is to create opportunities every day, for our clients, our people, and our communities through industry-focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. Even with more than 8,500 people, 130 U.S. locations, and a global reach, we promise to know you and help you.
CLA is dedicated to building a culture that invites different beliefs and perspectives to the table, so we can truly know and help our clients, communities, and each other.
CLA is growing and seeking to hire an experienced Lead Machine Learning Operations Engineer to join our talented team. This role manages a team of Machine Learning Operations Engineers, oversees the end-to-end machine-learning strategy and execution, sets vision for MLOps, and ensures alignment with business goals.
How you'll create opportunities in this role:
• Define and execute an enterprise AI/ML platform strategy, encompassing MLOps, LLMOps, and AIOps, and build reusable frameworks and standards adopted across multiple projects and business units.
• Oversee enterprise-scale AI platforms supporting model training, inference, evaluation, monitoring, retraining, and governance, including generative AI systems.
• Align AI and MLOps initiatives with business objectives, ensuring platforms and pipelines meet scalability, performance, security, regulatory, and cost requirements, including responsible and ethical AI considerations.
• Implement and enforce best practices for model and prompt versioning, monitoring, retraining, and automated workflows, ensuring consistent and reliable AI operations.
• Lead teams delivering shared AI infrastructure, tooling, and platforms, providing day-to-day leadership through coaching, development, and performance management.
• Ensure platform reliability and operational excellence by overseeing escalated issue resolution, maintaining high-quality documentation, and driving continuous improvement.
• Track and evaluate industry trends in AI platforms, LLM ecosystems, and AI operations, translating insights into roadmap decisions and platform evolution.
What you will need:
6 years of relevant experience required.
  • Experience in MLOps, DevOps, or related fields, with a focus on enterprise-level solutions preferred.
  • Supervisory experience preferred.

Education
Bachelor's degree is required. Combination of relevant experience, education, and training may be accepted in lieu of degree.
  • Degree in computer science, data science, or related field preferred.

Technical Competencies
  • Advanced proficiency in Python and architectural mastery of object-oriented design across dynamically typed languages.

  • Broad experience integrating and governing multi-language systems, including Python, JavaScript/TypeScript, and enterprise platforms (e.g., .NET).
  • Leadership-level expertise in AI/ML platform engineering, spanning MLOps, LLMOps, and AIOps.
  • Ability to define and enforce enterprise standards for AI model lifecycle management, monitoring, reliability, and cost control.
  • Deep understanding of AI system observability, including drift detection, evaluation frameworks, and incident response.
  • Strong experience with cloud architecture, security, compliance, and enterprise-scale deployments.
  • Proven ability to guide teams in technical decision-making and platform strategy.

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Wellness at CLA
To support our CLA family members, we focus on their physical, financial, social, and emotional well-being and offer comprehensive benefit options that include health, dental, vision, 401k and much more.
To view a complete list of benefits, click here.

What CliftonLarsonAllen employees say

Pay

Benefits

Hours and flexibility

Workplace

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About CliftonLarsonAllen

Sourced by ZipRecruiter

CliftonLarsonAllen (CLA) is a leading professional services company based in Minneapolis, MN, US. CLA operates in the accounting industry and offers a broad range of products and services such as wealth advisory, outsourcing, audit, tax, and consulting services. The company was founded in 1953 with a merger between two firms, Clifton Gunderson and LarsonAllen, in 2012. Working in accordance with their mission to create opportunities for clients, people, and communities, they have established a presence across the US, serving privately held businesses, non-profits, and governmental entities. Recognized for their contributions, CLA has received accolades such as the Innovative Firm of the Year award.

Industry

Accounting services

Company size

5,001 - 10,000 Employees

Headquarters location

Minneapolis, MN, US

Year founded

2012

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