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Machine Learning Infrastructure Engineer Jobs in Illinois

Ontrac Solutions is seeking Machine Learning Engineers to support an urgent staff augmentation ... Familiarity with real-time model serving and infrastructure tools such as Triton Inference Server ...

Ontrac Solutions is seeking Machine Learning Engineers to support an urgent staff augmentation ... Familiarity with real-time model serving and infrastructure tools such as Triton Inference Server ...

Machine Learning Engineer

Chicago, IL · On-site

$160K - $220K/yr

... infrastructure with stablecoins, AI-driven fraud prevention, and instant settlement. Coinflow ... Coinflow is seeking a Machine Learning Engineer to help build the intelligence layer that powers ...

... infrastructure to enable use of cutting-edge machine learning models for real-time fraud prevention. • Collaborate with data scientists and platform engineers to automate workflow • Provide ...

Machine Learning Engineer

Chicago, IL · On-site

$160K - $220K/yr

... infrastructure with stablecoins, AI-driven fraud prevention, and instant settlement. Coinflow ... Coinflow is seeking a Machine Learning Engineer to help build the intelligence layer that powers ...

The role As a Machine Learning Engineer you will be responsible for developing Machine Learning models and pipelines as well as interacting with databases and data infrastructure. Conducting in-depth ...

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120.90K - $159.40K/yr

Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning ... We develop machine learning models and infrastructure to support internal team strategies and ...

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120.90K - $159.40K/yr

Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning ... We develop machine learning models and infrastructure to support internal team strategies and ...

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120.90K - $159.40K/yr

Our machine learning engineering team is responsible for developing infrastructure and tooling to ... We develop machine learning models and infrastructure to support internal team strategies and ...

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Showing results 1-20

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.
What cities in Illinois are hiring for Machine Learning Infrastructure Engineer jobs? Cities in Illinois with the most Machine Learning Infrastructure Engineer job openings:
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.
Engineer II, Machine Learning Ops CBM Lab

Engineer II, Machine Learning Ops CBM Lab

Shirley Ryan AbilityLab

Chicago, IL • On-site

Other

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


Shirley Ryan AbilityLab rating

5.9

Company rating: 5.9 out of 10

Based on 11 frontline employees who took The Breakroom Quiz


Job description

Shirley Ryan AbilityLab is the global leader in physical medicine and rehabilitation for adults and children with the most severe, complex conditions. By joining our team, you'll be part of our life-changing mission and vision. You'll contribute to an innovative, multifaceted culture that is second to none - one that embraces collaboration, excellence, discovery and compassion. You'll play a role in something that's never been done before as we integrate science and clinical care to help patients achieve better, faster outcomes - as we Advance Human Ability, together.
Job Description Summary
The Machine Learning Ops Engineer II works under general supervision and plays an active role in the design, development, and/or operationalization of machine learning models. This position involves responsibility in planning and managing artificial intelligence (AI) and machine learning (ML) lifecycle processes and contributing to the efficiency and effectiveness of deployed models.
The Machine Learning Ops Engineer II will consistently demonstrate support of the Shirley Ryan AbilityLab statement of Vision, Mission and Core Values by striving for excellence, contributing to the team efforts and showing respect and compassion for patients and their families, fellow employees, and all others with whom there is contact at or in the interest of the institute.
The Machine Learning Ops Engineer II will demonstrate Shirley Ryan AbilityLab Core Attributes: Communication, Accountability, Flexibility/Adaptability, Judgment/Problem Solving, Customer Service and Core Values (Hope, Compassion, Discovery, Collaboration, and Commitment to Excellence) while fulfilling job duties.
Job Description
The Machine Learning Engineer II will:

  • Actively participates in deploying, monitoring, and scaling machine learning models in production and big data research.
  • Evaluate data sets to determine suitability for applying machine learning models and techniques.
  • Guide and assist with the collection and curation of clinical datasets.
  • Assist in the implementation and evaluation of machine learning algorithms.
  • Develop and maintain continuous integration and continuous deployment pipelines for automated training and deployment of machine learning models.
  • Manage machine learning infrastructure and optimizes resource utilization.
  • Implement monitoring solutions for model performance and health.
  • Lead small projects or initiatives related to machine learning operations.
  • Work collaboratively with data scientists to optimize model performance.
  • Advocate for best practices in machine learning operations within the team.
  • Participate in maintaining a safe work environment through adherence to policies and procedures relative to safety, fire prevention, hazard communications, security, equipment use and maintenance, infection control and vehicle safety.
  • Perform all other duties that may be assigned in the best interest of the Shirley Ryan AbilityLab.
Reporting Relationships:
  • Reports directly to a designed engineering manager.
Knowledge, Skills & Abilities Required
  • A professional level of knowledge in computer science, engineering or a related field, typically acquired through a Bachelor's Degree.
  • Minimum of 3 years of related experience working on problems of moderate scope where analysis of situations or data requires a review of a variety of factors.
  • Continues to develop professional expertise, applying institute policies and procedures to resolve a variety of issues.
  • Proficient in using version control systems, especially Git.
  • Able to manage branches, handle merge conflicts, and understand the importance of commit history and reverting changes.
  • Strong skills in Python and experience with machine learning frameworks.
  • Working proficiency with Linux and Windows operating systems.
  • Familiarity with tools for deploying machine learning pipelines (eg Docker, Kubenates).
  • Familiarity with cloud based production pipelines offered by leading manufacturers (eg Microsoft Azure, Amazon Web Services, Google Cloud, etc).
  • Ability to work independently on assigned tasks and lead small projects. Excellent problem-solving skills and the ability to troubleshoot complex issues.
  • Good communication skills in both written and verbal forms. Able to work with research subjects and clinicians in a clinical setting.
  • Able to take direction and complete defined tasks in addition to anticipating and executing follow-up actions.
  • Able to perform assignments by receiving general instructions on routine work, and detailed instructions on new projects or assignments.
  • Able to exercise judgment within defined procedures and practices to determine appropriate action.
  • Able to build stable working relationships with multidisciplinary team.
Working Conditions
  • Normal office environment with little or no exposure to dust or extreme temperature.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified.
Pay and Benefits*:
Pay Range:
$72,600.00 - $120,600.00
Benefits:
Shirley Ryan AbilityLab offers a comprehensive benefits program that is competitive with our industry peers in our geographic locations: https://www.sralab.org/benefits
*Benefits and benefits' eligibility can vary by position. Actual compensation will be determined by equity and qualifications of the role.
Equal Employment Opportunity Employer
Shirley Ryan AbilityLab is an Equal Employment Opportunity Employer. All applicants will be afforded equal employment opportunity without discrimination because of race, color, religion, sex, marital status, national origin or ancestry, citizenship status, age, disability, sexual orientation, gender identity, genetic information, military status, order of protection status, unfavorable discharge from military service, or any other characteristics protected by law.
EEO is the Law | EEO is the Law - Know Your Rights | View our Full Policy
Shirley Ryan AbilityLab is an Affirmative Action Employer as required by law.

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