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Machine Learning Ops Engineer Jobs in Illinois (NOW HIRING)

Sralab

Engineer I, Machine Learning Ops CBM Lab

Chicago, IL · On-site

$60K - $99K/yr

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 ...

Paylocity

Machine Learning Engineer

Schaumburg, IL · On-site

Machine Learning Engineer Position Overview Paylocity is growing its Machine Learning Engineering organization! Our machine learning engineering team is responsible for developing infrastructure and ...

Qfanalytics

Machine Learning Engineer

Chicago, IL · On-site

$80 - $120/hr

Preferred Qualifications PhD in Mathematics, Engineering, Physics or related field; 4-8 years experience working in Machine Learning; Experience with deep learning frameworks like TensorFlow or ...

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 ...

TEKsystems

Machine Learning Engineer

Chicago, IL · On-site +1

$95 - $105/hr

... Machine Learning Engineer to help build the algorithmic assets and features that Hyatt guests, members, customers and internal users leverage to transform the guest experience and drive efficiencies ...

Vizient

AVP, Machine Learning & Modeling

Chicago, IL · On-site

$156K - $290K/yr

Oversee teams of data scientists, modelers, and ML engineers to deliver innovative and scalable ... Knowledge of ML Ops, model governance, and lifecycle management best practices. * Demonstrated ...

New

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 ...

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 ...

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Showing results 1-20

All JobsMachine Learning Ops Engineer JobsMachine Learning Ops Engineer Jobs in Illinois

Machine Learning Ops Engineer information

See Illinois salary details

$30.5K

$124.8K

$187.5K

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

As of Aug 20, 2026, the average yearly pay for machine learning ops engineer in Illinois is $124,780.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,400.00 and $150,200.00 per year, depending on experience, location, and employer.

What is a machine learning ops engineer?

A Machine Learning Ops Engineer (MLOps Engineer) focuses on deploying, monitoring, and maintaining machine learning models in production. They bridge the gap between data science and software engineering, ensuring models run efficiently, reliably, and at scale. Their responsibilities include automating workflows, managing infrastructure, and ensuring CI/CD pipelines for ML models. They work with tools like Kubernetes, Docker, and cloud platforms to streamline model deployment. Ultimately, an MLOps Engineer ensures that machine learning models are operationalized and continuously improved in a real-world environment.

What does a machine learning ops engineer do?

A typical day for a Machine Learning Ops Engineer involves collaborating with data scientists to streamline the deployment of models, building and maintaining scalable infrastructure on cloud services, and automating workflows with CI/CD tools. You may troubleshoot issues in production environments, monitor model performance, and implement solutions for model versioning and retraining. Often, you’ll work closely with software engineers, DevOps teams, and data analysts to ensure seamless integration of machine learning solutions into products. This cross-functional role keeps you engaged with cutting-edge technology and provides opportunities to influence both technical and business outcomes.

What skills and qualifications are needed to be a machine learning ops engineer?

To thrive as a Machine Learning Ops Engineer, you need a solid grasp of machine learning concepts, cloud platforms, software engineering, and DevOps practices, typically supported by a degree in computer science or a related field. Experience with tools like Docker, Kubernetes, TensorFlow, CI/CD pipelines, and certifications such as AWS Certified Machine Learning – Specialty are highly valuable. Strong problem-solving skills, communication, and the ability to work collaboratively across data science and engineering teams set top candidates apart. These skills ensure reliable deployment, scalability, and optimization of machine learning models in production environments.

Are machine learning ops engineers in demand?

Machine Learning Ops Engineers are in high demand due to the increasing adoption of AI and machine learning across industries. They are needed to develop, deploy, and maintain scalable ML systems, often requiring skills in cloud platforms, automation, and tools like Kubernetes and TensorFlow. The role is expected to grow as organizations prioritize AI-driven solutions and infrastructure automation.

What are the most commonly searched types of Machine Learning Ops Engineer jobs in Illinois?

The most popular types of Machine Learning Ops Engineer jobs in Illinois are:

What are popular job titles related to Machine Learning Ops Engineer jobs in Illinois?

For Machine Learning Ops Engineer jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Machine Learning Ops Engineer jobs in Illinois look for?

The top searched job categories for Machine Learning Ops Engineer jobs in Illinois are:

Machine Learning Ops Engineer jobs near you
Infographic showing various Machine Learning Ops 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 $124,780 per year, or $60 per hour.

Engineer I, Machine Learning Ops CBM Lab

Shirley Ryan AbilityLab

Chicago, IL • On-site

$60K - $99K/yr

Full-time

Posted 25 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

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 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.
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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