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

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 ...

Foxconn WI

Automation Engineer

Mount Pleasant, WI

... machine learning algorithms * Develop and conduct technical training programs for staff on ... PLC programming certifications, robotics experience, machine vision systems expertise preferred

Foxconn WI

Automation Engineer

Mount Pleasant, WI · On-site

... machine learning algorithms * Develop and conduct technical training programs for staff on ... PLC programming certifications, robotics experience, machine vision systems expertise preferred

Mindlance

Staff Software Engineer

North Chicago, IL · On-site

Required : • Strong software engineering fundamentals • Deep expertise in distributed systems • Cloud-native infrastructure • Machine learning platforms • Operational excellence • ...

AbbVie

Associate Data Scientist I

North Chicago, IL · On-site

$58K/yr

Use statistical models, machine learning, and advanced analytics to influence leadership decisions ... Programming skills in Python, R, or SQL. * Prior exposure to data science or data analytics.

AbbVie

Associate Data Scientist I

North Chicago, IL

$56K - $57K/yr

Use statistical models, machine learning, and advanced analytics to influence leadership decisions ... Programming skills in Python, R, or SQL. * Prior exposure to data science or data analytics.

DataAnnotation

SDLC Engineer - AI Trainer

Kenosha, WI · Remote

$50 - $100/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

DataAnnotation

QA Engineer - AI Trainer

Kenosha, WI · Remote

$50 - $100/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

Precision Resource

Machine Operator

Vernon Hills, IL · On-site

$16.50 - $19.75/hr

Collaborative culture with a skilled team of machinists, engineers, and leaders. * Approachable ... Operate various production machines will learning to set-up and troubleshoot each, including ...

Bayer

Senior Software Engineer

North Chicago, IL · On-site +1

$104K - $156K/yr

As a Senior Engineer, your role is to ensure those platforms are architected for scale, reliability, and the demands of AI and machine learning at a global level. You will build and deliver critical ...

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

Machine Learning Engineer information

See Kenosha, WI salary details

$30.7K

$125.6K

$188.8K

How much do machine learning engineer jobs pay per year?

As of Jun 22, 2026, the average yearly pay for machine learning engineer in Kenosha, WI is $125,616.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,000.00 and $151,200.00 per year, depending on experience, location, and employer.

Is ML full of coding?

Machine Learning Engineers typically do a significant amount of coding, especially in languages like Python or R, to develop algorithms, preprocess data, and build models. Strong programming skills are essential, along with knowledge of frameworks such as TensorFlow or PyTorch, but the role also involves data analysis, model evaluation, and collaboration with teams. Coding is a core component of the job, though some tasks may involve model deployment and optimization that require different skills.

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-paying industries such as finance or technology can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies 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 they develop, implement, and maintain AI systems, requiring specialized skills in programming, data analysis, and model optimization. Roles that involve complex problem-solving, creativity, and human interaction—such as healthcare professionals, educators, skilled tradespeople, and certain managerial positions—are also expected to persist despite AI advancements. These jobs typically require emotional intelligence, adaptability, and domain expertise that AI cannot easily replicate.

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 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 cities near Kenosha, WI are hiring for Machine Learning Engineer jobs? Cities near Kenosha, WI with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Kenosha, WI as of June 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $125,616 per year, or $60.4 per hour.

AI/ML Scientist - Physics AI Start Up - $200 Million in Funding

Saragossa

Mundelein, IL

Other

Posted 13 days ago

Job description

Lead the Team Building AI Technology Transforming Engineering Simulation


This role sits at the center of a highly technical engineering team focused on building AI and machine learning systems that improve how complex engineering simulations are developed, tested, and deployed across industries.


In this role, you will lead the technical direction of a cutting-edge product area while remaining deeply hands-on in development. You will help shape the systems, engineering standards, and technical culture behind software solving real-world physics and simulation challenges across areas like fluid dynamics, thermal systems, and structural analysis.


You will work closely with researchers, engineers, and business stakeholders to translate complex engineering problems into practical machine learning solutions. The environment is highly collaborative and focused on balancing innovation with real-world execution.


If you enjoy leading from the front, solving difficult technical problems, and building AI systems that push engineering and simulation technology forward, let’s talk.


No up-to-date resume required.

Apply