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Senior Machine Learning Ops Engineer Jobs in Chicago, IL

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 ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...

Paylocity

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 Engineering organization! Our machine learning engineering team is responsible for developing ...

Paylocity

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 Engineering organization! Our machine learning engineering team is responsible for developing ...

Paylocity

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120.90K - $159.40K/yr

As a Senior Machine Learning Engineer in Product & Technology, you will help Paylocity build and deploy Machine Learning solutions, to help our teams build better products faster, more reliably, and ...

Kasmo Global

Sr. Machine Learning Engineer

Schaumburg, IL · On-site

$103K - $141.40K/yr

Toyota Connected's Mobility team is looking for a Sr. Machine Learning Engineer who will use machine learning techniques to help us create state-of-the-art solutions for non-trivial, and arguably ...

Allied

Senior Machine Learning Engineer

Chicago, IL · On-site +1

$150K - $185K/yr

POSITION SUMMARY The Senior Machine Learning Engineer is responsible for designing, building, and deploying scalable machine learning systems that drive business impact. This role will partner ...

AppFolio

Sr. Machine Learning Engineer

Chicago, IL · Remote

$107.60K - $147.80K/yr

Who we are looking for We're seeking a Sr Machine Learning Engineer to play a critical role in shaping Realm-X and the future of AI at AppFolio. This is a high-impact position focused on defining ...

Career Renew

Senior Machine Learning Engineer

Chicago, IL · Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ...

Huxley

Senior Machine Learning Engineer

Chicago, IL · On-site

$107.70K - $147.90K/yr

Our client is looking to bring on a Senior Machine Learning Engineer to help build and scale a nextgeneration voice-centric AI platform used by millions. In this role, you'll own the full ML ...

PayPal

Sr Machine Learning Engineer

Chicago, IL · On-site

$145K - $215.05K/yr

We are seeking a Senior Machine Learning Engineer to design, train, and deploy AI agents that support regulatory analytics, data governance, and audit automation related to ECB Asset Quality Review ...

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 cloud environment with a focus on algorithmic/machine learning products, hospitality experience not ...

PayPal

Sr Machine Learning Engineer

Chicago, IL · On-site

$126.30K - $166.50K/yr

... Engineering, or a related field. * Strong knowledge of statistical and machine learning techniques ... g., SR 11-7, OCC 2011-12, EU AI Act) is a plus. Subsidiary: PayPal Travel Percent: 0 The base pay ...

PayPal, Inc.

Sr Machine Learning Engineer

Chicago, IL · On-site

$57.50 - $76/hr

... Engineering, or a related field. * Strong knowledge of statistical and machine learning techniques ... g., SR 11-7, OCC 2011-12, EU AI Act) is a plus. Subsidiary: PayPal Travel Percent: 0 The base pay ...

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Senior Machine Learning Ops Engineer information

See Chicago, IL salary details

$61.3K

$130.4K

$189K

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

As of May 28, 2026, the average yearly pay for senior machine learning ops engineer in Chicago, IL is $130,372.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,600.00 and $147,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Machine Learning Ops Engineer, and why are they important?

To thrive as a Senior Machine Learning Ops Engineer, you need expertise in machine learning, software engineering, cloud platforms, and experience with CI/CD pipelines, often supported by a computer science degree or equivalent experience. Proficiency with tools like Docker, Kubernetes, TensorFlow, PyTorch, and cloud services such as AWS, GCP, or Azure is typically required, along with familiarity with MLOps frameworks. Strong problem-solving, collaboration, and communication skills help you work effectively with cross-functional teams and manage complex ML model deployments. These skills are essential to ensure reliable, scalable, and efficient deployment of machine learning models in production environments.

What are some common challenges faced by Senior Machine Learning Ops Engineers when deploying models to production?

Senior Machine Learning Ops Engineers often encounter challenges such as ensuring model reproducibility, managing model versioning, and automating deployment pipelines for scalability. Another key challenge is monitoring model performance and data drift in production, which requires robust logging and alerting systems. Collaborating closely with data scientists, software engineers, and IT teams is essential to address these challenges and maintain a stable, efficient ML infrastructure.

What are Senior Machine Learning Ops Engineers?

Senior Machine Learning Ops (MLOps) Engineers are experienced professionals who design, build, and maintain the infrastructure and tools needed to deploy, monitor, and scale machine learning models in production environments. They work at the intersection of data science, software engineering, and DevOps to ensure ML models are robust, reliable, and secure. Their responsibilities often include automating model training pipelines, managing cloud resources, implementing CI/CD for ML, and ensuring model reproducibility. Senior MLOps Engineers also mentor junior staff and help define best practices for the organization’s ML workflow.

What is the difference between Senior Machine Learning Ops Engineer vs Data Engineer?

AspectSenior Machine Learning Ops EngineerData Engineer
CredentialsExperience with ML frameworks, cloud platforms, scripting, and DevOps toolsStrong SQL, ETL, database, and programming skills, often with cloud experience
Work EnvironmentFocus on deploying, monitoring, and maintaining ML models in productionDesigning and building data pipelines and infrastructure for data processing
Industry UsageCommon in AI/ML-focused companies, tech firms, and data-driven organizationsWidespread across industries for data management and analytics

While both roles involve working with data and cloud platforms, the Senior Machine Learning Ops Engineer specializes in deploying and maintaining machine learning models, whereas the Data Engineer focuses on building data pipelines and infrastructure. Understanding these distinctions helps in choosing the right career path or job search focus.

What are the most commonly searched types of Machine Learning Ops Engineer jobs in Chicago, IL? The most popular types of Machine Learning Ops Engineer jobs in Chicago, IL are:
What are popular job titles related to Senior Machine Learning Ops Engineer jobs in Chicago, IL? For Senior Machine Learning Ops Engineer jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Ops Engineer jobs in Chicago, IL look for? The top searched job categories for Senior Machine Learning Ops Engineer jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Senior Machine Learning Ops Engineer jobs? Cities near Chicago, IL with the most Senior Machine Learning Ops Engineer job openings:
Senior Machine Learning Ops Engineer jobs near you
Engineer II, Machine Learning Ops CBM Lab

Engineer II, Machine Learning Ops CBM Lab

Shirley Ryan AbilityLab

Chicago, IL • On-site

Full-time

Posted 8 days ago

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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