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Junior Machine Learning Engineer Jobs in Wisconsin

WI · On-site

$110 - $180/hr

Your role on our team As a Machine Learning Engineer, you will be a hands-on leader tasked with deploying machine learning models in creative ways while working with highly cross-functional teams to ...

WI · On-site

$105.50 - $132.20/hr

As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting‑edge machine learning models and solutions to enhance various aspects of our business operations ...

WI · On-site

$73.95 - $108.08/hr

Als Machine Learning Engineer bouw jij de modellen die energie echt slimmer maken. Je krijgt toegang tot een schat aan real-time data en de vrijheid om modellen van experiment tot productie te ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

WI · On-site

$110 - $160/hr

You are the engineer who prefers the hum of factory equipment to the silence of a cloud notebook, eager to bridge the gap between experimental models and rugged hardware. In this on-site Texas role ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

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Junior Machine Learning Engineer information

See Wisconsin salary details

$33.8K

$72.5K

$110.5K

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

As of Aug 20, 2026, the average yearly pay for junior machine learning engineer in Wisconsin is $72,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $80,700.00 per year, depending on experience, location, and employer.

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.

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 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 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.

How much do junior machine learning engineers make?

Junior machine learning engineers typically earn 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 are the most commonly searched types of Machine Learning Engineer jobs in Wisconsin?

The most popular types of Machine Learning Engineer jobs in Wisconsin are:

What are popular job titles related to Junior Machine Learning Engineer jobs in Wisconsin?

For Junior Machine Learning Engineer jobs in Wisconsin, the most frequently searched job titles are:

What cities in Wisconsin are hiring for Junior Machine Learning Engineer jobs?

Cities in Wisconsin with the most Junior Machine Learning Engineer job openings:

Infographic showing various Junior Machine Learning Engineer job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 20% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $72,471 per year, or $34.8 per hour.

AI & Machine Learning Engineer

Schneider National

Green Bay, WI • On-site

$90 - $120/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Schneider National rating

7.7

Company rating: 7.7 out of 10

Based on 102 frontline employees who took The Breakroom Quiz

106th of 365 rated logistics


Job description

Job overview:

Schneider is seeking an AI & Machine Learning Engineer in Green Bay to design and develop applications which enable AI-driven solutions to solve business problems. The AI & Machine Learning Engineer will work closely with senior engineers and data scientists to develop and maintain software solutions for data science initiatives.

Responsibilities:
  • Deploy and monitor machine learning models and algorithms in production both on-premises and in cloud environments.
  • Develop and optimize data processing and feature engineering pipelines.
  • Build APIs and microservices that support machine learning models.
  • Implement model performance monitoring and drift detection.
  • Write high-quality, efficient and well-documented code.
  • Conduct code reviews and mentor junior engineers on best practices for software development.
  • Perform data analysis and generate insightful reports to support business decisions.
Skills and qualifications:
  • Bachelor's degree in computer science, software engineering, data science, engineering, information systems or a related field.
  • A minimum of 2 years of experience in software engineering, data science or a related field in IT.
  • Proficient in programming languages such as Python, Java or C++.
  • Knowledge of data science libraries and frameworks like Pandas, NumPy and Scikit-learn.
  • Understanding of machine learning concepts, algorithms, model evaluation metrics and feature engineering.
  • Experience with SQL, database management and application development in a Linux server environment
  • Proficiency with version control systems (e.g., Git).
  • Familiarity with cloud platforms (e.g., Azure, AWS, Google Cloud) and big data technologies.
  • Familiarity with container platforms (e.g., Docker, Kubernetes), streaming platforms (e.g., Apache Kafka), ML Ops tools (e.g., MLFlow,) and CI/CD concepts.
Pay and benefits:
  • Medical, dental and vision insurance.
  • Company paid life insurance.
  • 401(k) savings plan with company match.
  • Paid time off and paid holidays.
  • Results-based incentive pay program where you can earn above and beyond your base pay.
  • Tuition reimbursement.
  • See full list of information technology benefits.
Schneider's inclusive culture

Our history has taught us that treating everyone with dignity and respect is vital to our ongoing success. We embrace and seek out diversity that is inclusive of thought, race, ethnicity, national origin, sex, gender, gender expression, age, religion, sexual orientation, ability, medical condition, veteran or military status, experience and background. This diversity and openness ensures all associates have equal access to opportunities and resources to contribute fully to the organization's success, and it fuels innovation, improves strategic thinking and cultivates leadership. Any applicant may request a reasonable accommodation to complete a job application, pre-employment testing, or job interview or to otherwise participate in the hiring process consistent with the Americans with Disabilities Act (ADA) by contacting their Recruiter, Human Resources Business Partner, and/or Human Resources Leave Administration.

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