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Machine Learning Engineer Jobs in Gurnee, IL (NOW HIRING)

Utilize AI tools, machine learning techniques, and modern software engineering methodologies to improve development efficiency, solution quality, and business value delivery. * Collaborate with ...

Sr. AI/ML Engineer

Deerfield, IL · On-site

$106K - $145K/yr

... applied machine learning, deep learning, and AI system deployment * Strong Python engineering ... background with ML/DL frameworks: TensorFlow, PyTorch, Keras, OpenCV * Proven experience in ...

The role includes executing traditional machine learning solutions, as well as developing and ... Conceive, design, engineer, and implement ML and AI solutions by studying information needs ...

Senior Engineer, AI

North Chicago, IL

$100K - $138K/yr

The role includes executing traditional machine learning solutions, as well as developing and ... Conceive, design, engineer, and implement ML and AI solutions by studying information needs ...

Senior Engineer, AI

North Chicago, IL

$100K - $138K/yr

The role includes executing traditional machine learning solutions, as well as developing and ... Conceive, design, engineer, and implement ML and AI solutions by studying information needs ...

Through custom underwater cameras, computer vision, and machine learning we are able to quantify ... Edge engineering is responsible for the hardware and software orchestrating the hardware installed ...

Lead ML Ops Engineer

Racine, WI · On-site

$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 ...

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

... DevOps * Excellent communication, interpersonal, and stakeholder management skills * Understanding of statistical methods and probability theory Preferred: * Experience with machine learning ...

GCP Site Reliability Engineer

Buffalo Grove, IL · Remote

$58.25 - $77.50/hr

Python, PySpark, or Machine Learning experience. * Experience with Tidal, ServiceNow, xMatters, Ab ... Site Reliability Engineering (SRE) & Incident Management * Prometheus, Grafana & Splunk Monitoring ...

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

Showing results 41-60

Machine Learning Engineer information

See Gurnee, IL salary details

$30.2K

$123.6K

$185.7K

How much do machine learning engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for machine learning engineer in Gurnee, IL is $123,595.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,400.00 and $148,800.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

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.

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.

What job categories do people searching Machine Learning Engineer jobs in Gurnee, IL look for? The top searched job categories for Machine Learning Engineer jobs in Gurnee, IL are:
What cities near Gurnee, IL are hiring for Machine Learning Engineer jobs? Cities near Gurnee, IL with the most Machine Learning Engineer job openings:
Infographic showing various Machine Learning Engineer job openings in Gurnee, IL as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $123,595 per year, or $59.4 per hour.

Engineer, Technology II

AbbVie

North Chicago, IL • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 23 days ago


AbbVie rating

8.7

Company rating: 8.7 out of 10

Based on 100 frontline employees who took The Breakroom Quiz

14th of 86 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

Technical expert that will independently identify, engineer, and optimize new data, software, or technology solutions that address critical business needs. Continuously seek to improve existing methods and processes. Read and adapt literature and publicly available information to accomplish assignments. Demonstrate proficiency in a broad range of techniques and methods for information technology engineering, including full-stack software development, data warehousing, statistics, machine learning, artificial intelligence, and/or technology infrastructure (including servers, storage, network connectivity, and virtualization/cloud environments). Develop and maintain modern applications using technologies such as C#, Python, and React while leveraging AI tools and methodologies to accelerate development, enhance decision-making, and improve business outcomes. Technology Engineers will be aligned to a specific area: Information, Software, Data, or Infrastructure.

Responsibilities:  

  • Independently design and develop data, software, or technology solutions to answer scientific or business questions. 
  • Design, build, and maintain scalable full-stack applications using modern technologies including C#, Python, React, cloud services, and enterprise integration platforms. 
  • Demonstrate proficiency across a range of technologies related to programming languages, data integration, data warehousing, data visualization, analytics, and AI-enabled solutions. 
  • Utilize AI tools, machine learning techniques, and modern software engineering methodologies to improve development efficiency, solution quality, and business value delivery. 
  • Collaborate with business and scientific stakeholders to translate requirements into effective technical solutions while adhering to established architecture and development standards.
  • Understand the broad objectives of the project as well as his/her role in achieving those objectives and modify approach when required. Escalates open issues to ensure execution success and keeps stakeholders informed through effective verbal and written communication. 
  • Learn, understand, and master new methods and technologies, and act as a resource or mentor for others. 
  • Effectively organize and present project objectives and progress. Contribute to technical publications and presentations. 
  • Produce and maintain required technical documentation associated with work product. 
  • Understand and adhere to corporate standards regarding applicable Corporate and Divisional Policies, including code of conduct, safety, GxP compliance, data security, and the software development lifecycle. 
Qualifications

Required:

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field and at least 5 years of relevant experience; or a master’s degree and at least 4 years of relevant experience. 
  • Experience with modern software development practices, including source control, CI/CD pipelines, automated testing, and Agile methodologies. 
  • Demonstrated experience developing and supporting full-stack applications using C#, Python, React, REST APIs, databases, and cloud-based technologies. 
  • Experience applying AI tools, generative AI technologies, machine learning concepts, and modern software development methodologies in enterprise environments. 

Preferred:

  • Background in chemistry, biology, bioinformatics, pharmaceutical sciences, or another life sciences discipline is strongly preferred.

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 short-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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Benefits

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AbbVie logo

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