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

Aquabyte

Perception Engineer

Mundelein, IL

Through custom underwater cameras, computer vision, and machine learning we are able to quantify ... The role As a Perception Engineer you will help develop and deploy next-generation sensing ...

Varsity Tutors

Data Science Tutor

Buffalo Grove, IL · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Lake Forest, IL · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

AbbVie

Engineer, Technology II

North Chicago, IL · On-site

$84K/yr

Demonstrate proficiency in a broad range of techniques and methods for information technology engineering, including software development, data warehousing, statistics, machine learning, and/or ...

AbbVie

Engineer, Technology II

North Chicago, IL · On-site

Demonstrate proficiency in a broad range of techniques and methods for information technology engineering, including software development, data warehousing, statistics, machine learning, and/or ...

AbbVie

Engineer, Technology II

North Chicago, IL · On-site

Demonstrate proficiency in a broad range of techniques and methods for information technology engineering, including software development, data warehousing, statistics, machine learning, and/or ...

CDW

Senior Data Engineer

Vernon Hills, IL

$103K - $140K/yr

The Senior Data Engineer designs, builds, and maintains scalable data pipelines and Lakehouse ... Familiarity with machine learning concepts, tools, and libraries such as TensorFlow, PyTorch ...

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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.
Enterprise GenAI and DevOps Technical Lead

Enterprise GenAI and DevOps Technical Lead

AbbVie

North Chicago, IL • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago

AbbVie rating

8.7

Company rating: 8.7 out of 10

Based on 97 frontline employees who took The Breakroom Quiz

13th of 71 rated pharmaceutical

Job description

Company Description

About AbbVie

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

We are seeking an experienced and highly skilled Technical Leader to join our GenAI and DevOps team.  The ideal candidate will have over 8 years of hands-on DevOps and AI, GenAI, Python experience with a strong technical leadership background.  This position will play a pivotal role in driving the development and implementation of our GenAI and DevOps deliveries, ensuring seamless integration of AI technologies into our software development and operational support. 

Responsibilities: 

  • Provide technical leadership and guidance to the GenAI and DevOps teams. 
  • Develop and deliver a container based approach to hosting apps. 
  • Develop and execute the overall GenAI and DevOps process from a delivery and operational perspective. 
  • Drive innovation in GenAI and DevOps processes and technologies to enhance efficiency and productivity across our business. 
  • Ensure Python development and DevOps are working efficiently across the business groups 
  • Oversee the design, implementation, and maintenance of the CI/CD pipelines for GenAI. 
  • Define and deliver API access to GenAI services. 
  • Collaboration with the business teams to streamline the software delivery process. 
  • Monitor, optimize and troubleshoot production systems to ensure high availability and performance. 
  • Lead the integration of GenAI and machine learning technologies into the DevOps ecosystem. 
  • Identify opportunities to automate tasks using AI-driven solutions. 
  • Collaborate with data scientists and engineers to develop AI-powered tools and insights. 
  • Recruit, mentor, and coach team members to foster a culture of continuous learning and improvement. 
  • Promote best practices in GenAI and DevOps through knowledge sharing and training programs. 
  • Communicate GenAI and DevOps strategies and initiatives to stakeholders and executives. 
  • Act as a technical evangelist to promote the value of GenAI and DevOps across the organization.
Qualifications
  • Bachelor's degree with 10 years of experience; master's degree with 9 years of experience; or PhD with 5 years of experience. 
  • Minimum of 5-10 years of hands-on DevOps experience, with a track record of technical leadership. 
  • Experience with leading Operational teams. 
  • Expertise with API access for GenAI.
  • Proven expertise in CI/CD pipeline design and management. 
  • Proven experience with Python development and troubleshooting code. 
  • Strong knowledge of containerization and orchestration tools.  
  • Experience with cloud platforms (AWS, Azure & GCP) and infrastructure as code. 
  • Multi year experience with AI and machine learning concepts and tools. 
  • Exceptional communication and collaboration skills. 
Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: 

  • The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. 

  • We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.

  • This job is eligible to participate in our long-term incentive programs. 

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. 

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

What AbbVie employees say

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About AbbVie

Sourced by ZipRecruiter

AbbVie's mission is to discover and deliver innovative medicines that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas: immunology, oncology, neuroscience, eye care, virology, women's health, and gastroenterology, in addition to products and services across its Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube, and LinkedIn.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

North Chicago, IL, US

Year founded

2013

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