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 ...
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 ...
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 ...
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 ...
Machine Learning Engineering Manager
Chicago, IL · On-site
$118K - $141K/yr
... Ops team familiar with large cloud environments, Big Data technologies * 4+ years in software ... Experience working as a Machine Learning Engineer or Data Scientist building and productionalizing ...
Machine Learning Engineering Manager
Chicago, IL · On-site
$118K - $141K/yr
... Ops team familiar with large cloud environments, Big Data technologies * 4+ years in software ... Experience working as a Machine Learning Engineer or Data Scientist building and productionalizing ...
Create and maintain technical documentation for ML Operations (Ops) processes, infrastructure, and ... DevOps, Github, or similar and strong understanding of machine learning concepts and the ML ...
Create and maintain technical documentation for ML Operations (Ops) processes, infrastructure, and ... DevOps, Github, or similar and strong understanding of machine learning concepts and the ML ...
Machine Learning Engineer
Niles, IL · On-site
$103K - $129K/yr
Create and maintain technical documentation for ML Operations (Ops) processes, infrastructure, and ... DevOps, Github, or similar and strong understanding of machine learning concepts and the ML ...
Machine Learning Engineer
Niles, IL · On-site
$103K - $129K/yr
Create and maintain technical documentation for ML Operations (Ops) processes, infrastructure, and ... DevOps, Github, or similar and strong understanding of machine learning concepts and the ML ...
Machine Learning Engineer Niles, Illinois
$103K - $129K/yr
Machine Learning Engineer Niles, Illinois Full Time USD $103,455.00/Yr.-USD $129,319.00/Yr. 29100 ... for ML Operations (Ops) processes, infrastructure, and deployments Define ML/Artificial ...
Machine Learning Engineer Niles, Illinois
$103K - $129K/yr
Machine Learning Engineer Niles, Illinois Full Time USD $103,455.00/Yr.-USD $129,319.00/Yr. 29100 ... for ML Operations (Ops) processes, infrastructure, and deployments Define ML/Artificial ...
Machine Learning Engineer
$53 - $72.75/hr
Create and maintain technical documentation for ML Operations (Ops) processes, infrastructure, and ... DevOps, Github, or similar and strong understanding of machine learning concepts and the ML ...
Machine Learning Engineer
$53 - $72.75/hr
Create and maintain technical documentation for ML Operations (Ops) processes, infrastructure, and ... DevOps, Github, or similar and strong understanding of machine learning concepts and the ML ...
Machine Learning Engineer
$53 - $72.75/hr
Create and maintain technical documentation for ML Operations (Ops) processes, infrastructure, and ... DevOps, Github, or similar and strong understanding of machine learning concepts and the ML ...
Machine Learning Engineer
$53 - $72.75/hr
Create and maintain technical documentation for ML Operations (Ops) processes, infrastructure, and ... DevOps, Github, or similar and strong understanding of machine learning concepts and the ML ...
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 ...
Quick apply
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 ...
Machine Learning Engineer
$175K - $250K/yr
Machine Learning Engineer Chicago, United States; Hong Kong, Hong Kong; Sydney, Australia As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the training and ...
Machine Learning Engineer
$175K - $250K/yr
Machine Learning Engineer Chicago, United States; Hong Kong, Hong Kong; Sydney, Australia As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the training and ...
MACHINE LEARNING ENGINEER (MLOPS / DATA ENGINEERING) Overview Darwill is a nationally recognized print and marketing communications firm based in the west suburbs of Chicago. As a premier provider of ...
MACHINE LEARNING ENGINEER (MLOPS / DATA ENGINEERING) Overview Darwill is a nationally recognized print and marketing communications firm based in the west suburbs of Chicago. As a premier provider of ...
Machine Learning Engineer (MLOps / Data Engineering) Darwill is a nationally recognized print and marketing communications firm based in the west suburbs of Chicago. As a premier provider of complex ...
Machine Learning Engineer (MLOps / Data Engineering) Darwill is a nationally recognized print and marketing communications firm based in the west suburbs of Chicago. As a premier provider of complex ...
Machine Learning Engineer
Villa Park, IL · On-site
MACHINE LEARNING ENGINEER (MLOPS / DATA ENGINEERING) Overview Darwill is a nationally recognized print and marketing communications firm based in the west suburbs of Chicago. As a premier provider of ...
Quick apply
Machine Learning Engineer
Villa Park, IL · On-site
MACHINE LEARNING ENGINEER (MLOPS / DATA ENGINEERING) Overview Darwill is a nationally recognized print and marketing communications firm based in the west suburbs of Chicago. As a premier provider of ...
Machine Learning Engineer (MLOps / Data Engineering) Darwill is a nationally recognized print and marketing communications firm based in the west suburbs of Chicago. As a premier provider of complex ...
Machine Learning Engineer (MLOps / Data Engineering) Darwill is a nationally recognized print and marketing communications firm based in the west suburbs of Chicago. As a premier provider of complex ...
Machine Learning Engineer
Chicago, IL · On-site
$175K - $250K/yr
As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the training and deployment of large-scale ML models across our global operations. You'll collaborate with ...
Machine Learning Engineer
Chicago, IL · On-site
$175K - $250K/yr
As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the training and deployment of large-scale ML models across our global operations. You'll collaborate with ...
Machine Learning Engineer
$175K - $250K/yr
As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the training and deployment of large-scale ML models across our global operations. You'll collaborate with ...
Machine Learning Engineer
$175K - $250K/yr
As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the training and deployment of large-scale ML models across our global operations. You'll collaborate with ...
Description MACHINE LEARNING ENGINEER (MLOPS / DATA ENGINEERING) Overview Darwill is a nationally recognized print and marketing communications firm based in the west suburbs of Chicago. As a premier ...
Description MACHINE LEARNING ENGINEER (MLOPS / DATA ENGINEERING) Overview Darwill is a nationally recognized print and marketing communications firm based in the west suburbs of Chicago. As a premier ...
Stay aligned with the latest developments in cloud-native and ML ops/engineering and to experiment ... machine learning, deep learning, and natural language processing * Strong software engineering ...
Stay aligned with the latest developments in cloud-native and ML ops/engineering and to experiment ... machine learning, deep learning, and natural language processing * Strong software engineering ...
Machine Learning Engineer Location: San Jose, CA/Chicago, IL Duration: 18 months contract with a possible extension What You'll Do • Redesign and optimize PayPal's MLOps and decision platform for ...
Machine Learning Engineer Location: San Jose, CA/Chicago, IL Duration: 18 months contract with a possible extension What You'll Do • Redesign and optimize PayPal's MLOps and decision platform for ...
Machine Learning Engineer
$160K - $220K/yr
Coinflow is seeking a Machine Learning Engineer to help build the intelligence layer that powers our platform. This is a zero-to-one role. You will be the first dedicated ML hire and will own how ...
Machine Learning Engineer
$160K - $220K/yr
Coinflow is seeking a Machine Learning Engineer to help build the intelligence layer that powers our platform. This is a zero-to-one role. You will be the first dedicated ML hire and will own how ...
Machine Learning Ops Engineer information
See Illinois salary details
$30.5K - $44.8K
1% of jobs
$44.8K - $59.1K
1% of jobs
$59.1K - $73.3K
5% of jobs
$73.3K - $87.6K
6% of jobs
$99.4K is the 25th percentile. Wages below this are outliers.
$87.6K - $101.9K
14% of jobs
$101.9K - $116.2K
14% of jobs
The median wage is $123.3K / yr.
$116.2K - $130.4K
18% of jobs
$130.4K - $144.7K
14% of jobs
$147.6K is the 75th percentile. Wages above this are outliers.
$144.7K - $159K
12% of jobs
$159K - $173.2K
11% of jobs
$173.2K - $187.5K
5% of jobs
$30.5K
$124.8K
$187.5K
How much do machine learning ops engineer jobs pay per year?
What is a Machine Learning Ops Engineer job?
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 typical day look like for a Machine Learning Ops Engineer?
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 are the key skills and qualifications needed to thrive in the Machine Learning Ops Engineer position, and why are they important?
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.
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Full-time
Posted yesterday
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 - $120,600.00Benefits:
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.
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Shirley Ryan AbilityLab is an Affirmative Action Employer as required by law.