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Machine Learning Operations Mlops Jobs (NOW HIRING)

System One

Machine Learning Operations Engineer

Dallas, TX · On-site

$60 - $120K/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Machine Learning Operations Engineer Location: Dallas, Texas Type: Contract To Hire Compensation ... Work with AWS and SageMaker MLOps ecosystem. Requirements * 6+ years of experience in software ...

AgZen

Senior Machine Learning Operations Engineer

Somerville, MA · On-site

$114K - $156K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

About the Role We are looking for a sharp, tenacious, and thorough Senior Machine Learning Operations (MLOps) Engineer to join our team. As part of the the perception team, you'll own the operational ...

New

Nextgen

ML Operations Engineer

$71K - $96K/yr

The Machine Learning Operations (MLOps) Engineer will support our AI/ML initiatives by streamlining the deployment, monitoring, and scaling of machine learning models in production environments. The ...

System One

Machine Learning Operations Engineer

Dallas, TX · On-site

$60 - $120K/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Machine Learning Operations Engineer Location: Dallas, Texas Type: Contract To Hire Compensation ... Work with AWS and SageMaker MLOps ecosystem. Requirements * 6+ years of experience in software ...

System One

Machine Learning Operations Engineer

Dallas, TX · On-site

$60 - $120K/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Machine Learning Operations Engineer Location: Dallas, Texas Type: Contract To Hire Compensation ... Work with AWS and SageMaker MLOps ecosystem. Requirements * 6+ years of experience in software ...

Chefman

MLOps Engineer / DevOps Engineer

Mahwah, NJ

$53 - $72.50/hr

MLOps Engineer / DevOps Engineer *Candidates must be legally authorized to work in the United ... From machine learning and computer vision to Generative AI applications, our success depends on ...

Jobzhr

Machine Learning Engineer

Pleasanton, CA · On-site

$110 - $150/hr

Expertise in Python, R, and SQL is required, as well as familiarity with machine learning ... Experience in DevOps and MLOps practices is also necessary to streamline model deployment and ...

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Machine Learning Operations Mlops information

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How much do machine learning operations mlops jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for machine learning operations mlops in the United States is $39.89, according to ZipRecruiter salary data. Most workers in this role earn between $33.41 and $42.31 per hour, depending on experience, location, and employer.

What is the difference between Machine Learning Operations Mlops vs Data Scientist?

AspectMachine Learning Operations (MLOps)Data Scientist
Primary FocusDeploying, monitoring, and maintaining ML models in productionDeveloping and analyzing data models, insights, and algorithms
Required SkillsMachine learning, DevOps, cloud platforms, automationStatistics, data analysis, programming, machine learning
Work EnvironmentProduction environments, cloud infrastructure, cross-functional teamsResearch, data analysis, model development in labs or offices
CertificationsCloud certifications, ML certifications, DevOps toolsData science certifications, programming skills, statistical expertise

While both roles involve machine learning, MLOps focuses on deploying and maintaining models in production environments, ensuring scalability and reliability. Data scientists primarily develop models and analyze data to generate insights. Understanding these differences helps organizations assign the right talent for each stage of the ML lifecycle.

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Machine Learning Operations Mlops jobs near you
Infographic showing various Machine Learning Operations Mlops job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $82,973 per year, or $39.9 per hour.

Machine Learning Operations Engineer

System One

Dallas, TX • On-site

$60 - $120K/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Re-posted 10 days ago

Job description

Job Title: Machine Learning Operations Engineer Location: Dallas, Texas Type: Contract To Hire Compensation: $60.00 - $120,000.00 Work Model: Onsite – onsite Hours: 40.0 Security Clearance: None specified

Overview Leave placeholder text here for recruiter to input

Responsibilities

  • Optimize and maintain large-scale feature engineering pipelines using PySpark, Pandas, and PyArrow on Hadoop-based infrastructure.
  • Refactor and modularize ML codebases to enhance reusability, maintainability, and performance.
  • Collaborate with platform teams on compute capacity planning, resource allocation, and system upgrades.
  • Integrate with existing model serving frameworks to support testing, deployment, and rollback processes.
  • Monitor and troubleshoot production ML pipelines, ensuring high reliability, low latency, and cost efficiency.
  • Contribute to internal ML platforms by sharing insights, proposing improvements, and documenting best practices.
  • Build near real-time ML pipelines using Kafka and Spark Streaming.
  • Work with AWS and SageMaker MLOps ecosystem.
Requirements
  • 6+ years of experience in software engineering, data engineering, or MLOps roles.
  • Strong programming expertise in Python, with hands-on experience in Pandas, PySpark, and PyArrow.
  • Deep understanding of the Hadoop ecosystem, distributed computing, and performance tuning.
  • Experience with CI/CD pipelines and best practices in ML environments.
  • Hands-on experience with monitoring tools for ML pipeline health and performance.
  • Strong collaboration skills with experience working in cross-functional teams (platform, data science, engineering).
  • Experience contributing to or building internal MLOps frameworks/platforms.
  • Familiarity with SLURM clusters or other distributed job schedulers.
  • Exposure to Kafka, Spark Streaming, or other real-time data processing technologies.
  • Understanding of ML lifecycle management, including versioning, deployment, and drift detection.

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

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