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On Call Machine Learning Ops Engineer Jobs (NOW HIRING)

$93K - $149K/yr

The ML Ops Engineer II works in close collaboration with data scientists and various stakeholders across the hospital to develop solutions that improve patient care outcomes and operational ...

Keylent Inc is seeking a Machine Learning Ops Engineer to build and support a scalable and robust Machine Learning and Deep Learning platform for their data and analytics organization. The role ...

Keylent Inc is seeking a Machine Learning Ops Engineer to build and support a scalable and robust Machine Learning platform. The role involves working with data scientists and engineers to implement ...

Senior ML Ops Engineer

Philadelphia, PA · On-site

$99K - $137K/yr

As a Senior Machine Learning Ops Engineer, you will bridge Data Science and Engineering to develop AI-based features and ensure the reliability and scalability of machine learning models and services.

As the Machine Learning Ops Engineer for the AI Team you will: * Work closely with the Data Science team and the Data Engineers and DevOps teams in order to deploy machine learning models.

Contract Experience: 10+ years in Software Engineering; 3+ years in AI/ML & Machine Learning Operations Job Overview Our client's Machine Learning AI team is seeking an experienced ML Ops Engineer to ...

Senior ML Ops Engineer

Philadelphia, PA · On-site

$112K - $179K/yr

Are you a collaborative Machine Learning Ops Engineer looking to work for a mission driven global organization? Are you looking to drive cutting edge products that have a true societal impact? About ...

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On Call Machine Learning Ops Engineer information

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$31.5K

$128.8K

$193.5K

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

As of Sep 10, 2026, the average yearly pay for on call machine learning ops engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

Are on call machine learning ops engineers in demand?

On call machine learning ops engineers are in high demand due to the increasing reliance on AI and machine learning systems in various industries. Their skills in deploying, monitoring, and maintaining ML models using tools like Kubernetes and cloud platforms are highly sought after, especially in organizations prioritizing scalable and reliable AI solutions.

How much do on call machine learning ops engineers make in the US?

On-call machine learning operations (MLOps) engineers in the US typically earn between $100,000 and $150,000 annually, depending on experience, location, and company size. Salaries can increase with expertise in cloud platforms, automation tools, and monitoring systems, and may include additional compensation for on-call duties and overtime.
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What are the most commonly searched types of Machine Learning Ops Engineer jobs?

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

What are popular job titles related to On Call Machine Learning Ops Engineer jobs?

For On Call Machine Learning Ops Engineer jobs, the most frequently searched job titles are:

Infographic showing various On Call Machine Learning Ops Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 23% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $128,769 per year, or $61.9 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 15 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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