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Machine Learning Infrastructure Engineer Jobs in Illinois

IMC Inc

Principal Machine Learning Engineer

Chicago, IL · On-site

$200K - $250K/yr

Principal Machine Learning Engineer At IMC, we believe technology is the foundation of our ... If you've built ML infrastructure at scale elsewhere and are looking for a role where your ideas ...

IMC Inc

Machine Learning Engineer

Chicago, IL · On-site

$175K - $250K/yr

Machine Learning Engineer Chicago, United States; Hong Kong, Hong Kong; Sydney, Australia As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the training and ...

IMC

Machine Learning Engineer

Chicago, IL · On-site

$175K - $250K/yr

As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the training and deployment of large-scale ML models across our global operations. You'll collaborate with ...

Darwill

Machine Learning Engineer

Villa Park, IL · Hybrid

MACHINE LEARNING ENGINEER (MLOPS / DATA ENGINEERING) Overview Darwill is a nationally recognized print and marketing communications firm based in the west suburbs of Chicago. As a premier provider of ...

Darwill, Inc.

Machine Learning Engineer

Villa Park, IL · On-site

MACHINE LEARNING ENGINEER (MLOPS / DATA ENGINEERING) Overview Darwill is a nationally recognized print and marketing communications firm based in the west suburbs of Chicago. As a premier provider of ...

Gotion Inc.

Machine Learning Engineer

Manteno, IL · On-site

They are seeking a highly motivated Machine Learning Engineer to design and implement machine learning models for advanced battery products, collaborating with cross-disciplinary teams to address ...

Gotion, Inc.

Machine Learning Engineer

Manteno, IL · On-site

Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background in model architecture design and algorithm development, ideally with experience in scientific domains ...

PayPal

Machine Learning Engineer

Chicago, IL · On-site

This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance ...

PayPal

Machine Learning Engineer

Chicago, IL · On-site

This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance ...

PayPal, Inc.

Machine Learning Engineer

Chicago, IL · On-site

This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance ...

EMPIST

Infrastructure Engineer

Chicago, IL · Hybrid

$110.80K - $145.40K/yr

Infrastructure Engineer Join our growing global Infrastructure Services Group (ISG) and play a key ... Self-motivated, organized, and committed to ongoing learning. * Ability to work in a global team ...

RIT Solutions

Senior Machine Learning Engineer

Chicago, IL · On-site

$107.70K - $147.90K/yr

Machine Learning Engineer Must have: • 5+ years of implementing software product solutions in a ... Implement and productionize final solutions via infrastructure-as-code pattern. * Implement data ...

Capital One

Senior Machine Learning Engineer

Chicago, IL · On-site +1

$107.60K - $147.80K/yr

Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part ... Inform your ML infrastructure decisions using your understanding of ML modeling techniques and ...

IMC

Hardware Machine Learning Engineer

Chicago, IL

$127.20K - $167.90K/yr

We are deploying machine learning directly onto custom hardware - and we want you to help drive it ... We build the hardware, the software, and the infrastructure, so when you hit a bottleneck, you can ...

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Machine Learning Infrastructure Engineer information

See Illinois salary details

$45.1K

$123.1K

$176.4K

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

As of May 28, 2026, the average yearly pay for machine learning infrastructure engineer in Illinois is $123,130.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,200.00 and $136,600.00 per year, depending on experience, location, and employer.

What is a Machine Learning Infrastructure Engineer job?

A Machine Learning Infrastructure Engineer designs, builds, and maintains the systems that support the development and deployment of machine learning models. This includes managing data pipelines, optimizing model training and inference, and ensuring scalability and reliability in production environments. They work closely with data scientists, ML engineers, and DevOps teams to create efficient workflows and infrastructure. Key technologies often include cloud platforms, containerization, orchestration tools, and distributed computing frameworks.

What are the key skills and qualifications needed to thrive in the Machine Learning Infrastructure Engineer position, and why are they important?

To thrive as a Machine Learning Infrastructure Engineer, you need a strong background in computer science, cloud computing, distributed systems, and experience with machine learning frameworks, often supported by a degree in a related field. Familiarity with tools such as Docker, Kubernetes, Terraform, as well as cloud platforms like AWS, GCP, or Azure, and certifications in cloud or DevOps technologies are highly valued. Strong problem-solving abilities, effective communication, and collaboration skills help engineers work seamlessly with data scientists and cross-functional teams. These skills are essential to design, implement, and maintain robust, scalable infrastructure that enables efficient machine learning development and deployment.

What are some common challenges faced by Machine Learning Infrastructure Engineers, and how can these be addressed on the job?

Machine Learning Infrastructure Engineers often face challenges such as ensuring infrastructure scalability, managing resource allocation, and maintaining system reliability while supporting rapid experimentation by data science teams. Balancing the needs for flexibility in research environments with production-grade stability requires a deep understanding of both engineering best practices and the unique requirements of machine learning workflows. Collaboration with data scientists, clear communication about infrastructure capabilities, and staying current with fast-evolving technologies are key strategies for success. Most companies encourage ongoing learning and provide opportunities to contribute to architecture decisions, which makes this a rewarding environment for problem-solvers and innovators.
More about Machine Learning Infrastructure Engineer jobs
What are popular job titles related to Machine Learning Infrastructure Engineer jobs in Illinois? For Machine Learning Infrastructure Engineer jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Machine Learning Infrastructure Engineer jobs in Illinois look for? The top searched job categories for Machine Learning Infrastructure Engineer jobs in Illinois are:
What cities in Illinois are hiring for Machine Learning Infrastructure Engineer jobs? Cities in Illinois with the most Machine Learning Infrastructure Engineer job openings:
Machine Learning Infrastructure Engineer jobs near you
Infographic showing various Machine Learning Infrastructure Engineer job openings in Illinois as of May 2026, with employment types broken down into 88% Full Time, 6% Part Time, 5% Contract, and 1% Summer. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $123,130 per year, or $59.2 per hour.

Machine Learning Engineer

Reyes Coca-Cola Bottling

Niles, IL

$53 - $72.75/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago

Reyes Coca-Cola Bottling rating

8.1

Company rating: 8.1 out of 10

Based on 94 frontline employees who took The Breakroom Quiz

67th of 377 rated food and drinks producers

Job description

Position Responsibilities: 

  • Design, build, and maintain Continuous Integration/Continuous Development (CI/CD) pipelines for machine learning models 
  • Deploy and manage ML models in production environments using containerization and orchestration technologies 
  • Implement monitoring, logging, and alerting solutions to track model performance, system health, and data drift 
  • Collaborate with data scientists to understand model requirements and optimize the process of transforming models from development to a production-ready state 
  • Create and maintain technical documentation for ML Operations (Ops) processes, infrastructure, and deployments 
  • Define ML/Artificial Intelligence (AI) governance to ensure data security and ethical standards are met for all modeling processes 
  • Travel up to 5% of the time 
  • Other duties as assigned  

Required Education and Experience: 

  • Bachelor’s degree in computer science, Data Science, Mathematics, or related quantitative discipline and 3 to 5 plus years of experience in ML Engineering, Software Engineering, or a related field or High School Diploma/General Education Diploma and 7 plus years of the above stated experience 

Preferred Education and Experience: 

  • Master’s Degree in computer science, Data Science, or other graduate education in related quantitative fields 
  • Hands-on experience with CI/CD pipelines, automation tools, and version control systems like Azure DevOps, Github, or similar and strong understanding of machine learning concepts and the ML development lifecycle 
  • Experience building ML Ops infrastructure and serving models via cloud platforms such as Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP) 
  • Strong proficiency in Python and working knowledge of Bash/shell scripting for automation and system operations 
  • Strong understanding of Structured Query Language (SQL) and experience with big data platforms, i.e., Snowflake, Databricks, or similar 
  • Experience with Infrastructure-as-Code tools, i.e., Terraform, Azure Resource Manager, or similar

Benefits
At the Reyes Family of Businesses, our Total Rewards Strategy prioritizes the holistic well-being of our employees. This position offers a comprehensive benefits package that includes Medical, Dental, Vision coverage, Paid Time Off, Retirement Benefits, and complimentary Health Screenings.
Equal Opportunity Employee & Physical Demands
Reyes Holdings and its businesses are equal opportunity employers. Company policy prohibits discrimination and harassment against any applicant or employee based on race, color, religion, sex, pregnancy or pregnancy-related medical conditions, marital status, sexual orientation, gender identity or expression, age, national origin, citizenship, disability, genetic information, military or veteran status, or any other basis protected by applicable law. In addition, the Company is committed to providing reasonable accommodation to applicants and employees in accordance with applicable law. Requests for accommodation should be directed to your point of contact in the Talent Acquisition or Human Resources departments.
Background Check and Drug Screening
Offers of employment are contingent upon successful completion of a background check and drug screening.
Pay Transparency
Our compensation philosophy embraces diverse factors for fair pay decisions, valuing skills, experience, and the needs of our business. Moreover, this role may have the opportunity to participate in a discretionary incentive program, subject to program rules.Qualifications:

Required Education and Experience: 

  • Bachelor’s degree in computer science, Data Science, Mathematics, or related quantitative discipline and 3 to 5 plus years of experience in ML Engineering, Software Engineering, or a related field or High School Diploma/General Education Diploma and 7 plus years of the above stated experience 

Preferred Education and Experience: 

  • Master’s Degree in computer science, Data Science, or other graduate education in related quantitative fields 
  • Hands-on experience with CI/CD pipelines, automation tools, and version control systems like Azure DevOps, Github, or similar and strong understanding of machine learning concepts and the ML development lifecycle 
  • Experience building ML Ops infrastructure and serving models via cloud platforms such as Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP) 
  • Strong proficiency in Python and working knowledge of Bash/shell scripting for automation and system operations 
  • Strong understanding of Structured Query Language (SQL) and experience with big data platforms, i.e., Snowflake, Databricks, or similar 
  • Experience with Infrastructure-as-Code tools, i.e., Terraform, Azure Resource Manager, or similar
Education:UNAVAILABLEEmployment Type: FULL_TIME

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