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Machine Learning Infrastructure Engineer Jobs in Illinois

The ML Engineering Consultant role involves designing scalable machine learning infrastructure, developing Generative AI solutions, and ensuring security and compliance while monitoring models in ...

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/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 ...

Machine Learning Engineer

Chicago, IL · On-site

$95K - $138K/yr

Expertise in Python programming, including machine learning libraries such as NumPy, Pandas, and PyTorch * Experience with machine learning operations practices, including continuous integration and ...

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 ...

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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 Sep 14, 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?

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 as a machine learning infrastructure engineer?

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 August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $123,130 per year, or $59.2 per hour.

Engineer I, Machine Learning Ops CBM Lab

Chicago, IL • On-site

Shirley Ryan AbilityLab
Health Care and Social Assistance • 1 - 5K employees

$60K - $99K/yr

Other

Re-posted 20 days ago


Shirley Ryan AbilityLab rating

7.1

Company rating: 7.1 out of 10

Based on 14 frontline employees who took The Breakroom Quiz


Job description

## Engineer I, Machine Learning Ops CBM LabApplylocations: Chicago, ILtime type: Full timeposted on: Posted Todayjob requisition id: JR-1065210Shirley 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 I, under direct supervision, will assist in the development, deployment, and management of machine learning models, toolboxes and systems. This role involves collaborating with data scientists and software engineers to facilitate the implementation of artificial intelligence (AI) and machine learning (ML) solutions in production environments. The Machine Learning Ops Engineer I 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 I 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 Ops will:*** Participate in a team to deploy and monitor machine learning models, ensuring their stability and reliability.* Review, organize and curate data as directed. Implements and tests machine learning algorithms as directed.* Assist in the development and maintenance of continuous integration and delivery pipelines for machine learning systems.* Contribute to the automation of model training and deployment processes.* Assist with the management of machine learning infrastructure and resources.* Support the team in implementing best practices for machine learning operations.* Help in troubleshooting and resolving issues in deployed machine learning models.* Participate in maintaining a safe and secure computing environment in compliance with organizational policies and procedures.* 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 designated engineering manager.**Knowledge, Skills & Abilities Required:*** A foundational level of knowledge in computer science, engineering, data science, or related field, generally acquired through the completion of a Bachelor’s Degree.* Basic understanding of machine learning concepts and workflows.* Familiarity with version control systems, preferably Git, is required.* Basic understanding of Git commands and workflows (e.g., commit, push, pull, merge, branch) is expected.* Familiarity with programming languages like Python and tools like TensorFlow or PyTorch.* Ability to work under supervision on assigned tasks.* Good communication skills and the ability to work well in a collaborative environment.* Entry level position with no previous professional experience.* Learns to use professional concepts while working on projects of limited scope.* Normally receives detailed instructions on all work.* Able to take direction and complete defined tasks in support of engineering team.* Able to apply institute policies and procedures to resolve routine issues.* Able to follow standard practices and procedures in analyzing situations or data from which answers can be readily obtained.* 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:**$60,000.00 - $99,700.00## **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.* #J-18808-Ljbffr

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