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Manager Mlops Engineer Jobs (NOW HIRING)

Job Role: MLOPS Engineer Job Location: Concord, CA (100% Onsite) Job Type: Contract Key ... Implement CI/CD workflows for model lifecycle management, including versioning, monitoring, and ...

Deploy and manage systems for monitoring model performance and data drift in production ... MLOps Engineer in a fast-paced environment in applied machine learning. โ€ข Prior experience in ...

MLOps Engineer, Mid The Opportunity : Are you looking for an opportunity to make a difference and ... Experience with leveraging MLOps platforms and Machine Learning (ML) CI/CD workflows to manage ...

MLOps Engineer, Mid The Opportunity : Are you looking for an opportunity to make a difference and ... Experience with leveraging MLOps platforms and Machine Learning (ML) CI/CD workflows to manage ...

MLOps Engineer, Mid The Opportunity : Are you looking for an opportunity to make a difference and ... Experience with leveraging MLOps platforms and Machine Learning (ML) CI/CD workflows to manage ...

This is a hands-on technical leadership role, not a management position; you will be a primary ... Mentor mid-level and senior engineers on the MLOps team through code review, design review, and ...

Mid MLOps Engineer

Chantilly, VA ยท On-site

$77K - $176K/yr

R0241240 MLOps Engineer, Mid The Opportunity : Are you looking for an opportunity to make a ... Experience with leveraging MLOps platforms and Machine Learning (ML) CI/CD workflows to manage ...

Staff ML Ops Engineer Job Summary and Qualifications Position Summary The Staff MLOps Engineer ... Architect and manage the cloud infrastructure supporting the MLOps platform, leveraging ...

Staff ML Ops Engineer Job Summary and Qualifications Position Summary The Staff MLOps Engineer ... Architect and manage the cloud infrastructure supporting the MLOps platform, leveraging ...

Staff ML Ops Engineer Job Summary and Qualifications Position Summary The Staff MLOps Engineer ... Architect and manage the cloud infrastructure supporting the MLOps platform, leveraging ...

Staff ML Ops Engineer Job Summary and Qualifications Position Summary The Staff MLOps Engineer ... Architect and manage the cloud infrastructure supporting the MLOps platform, leveraging ...

As an MLOps Engineer, you will be the backbone of our machine learning infrastructure, ensuring ... Experience building and managing CI/CD pipelines for ML workflows using tools such as Jenkins ...

This is a hands-on technical leadership role, not a management position; you will be a primary ... Mentor mid-level and senior engineers on the MLOps team through code review, design review, and ...

MLOps Engineer, Mid

Chantilly, VA ยท On-site

$77K - $176K/yr

MLOps Engineer, Mid The Opportunity : Are you looking for an opportunity to make a difference and ... Experience with leveraging MLOps platforms and Machine Learning (ML) CI/CD workflows to manage ...

THE ROLE Senior Engineering Manager, MLOps We are seeking a Senior Engineering Manager, MLOps to join our growing team. The ideal candidate is a technical visionary with a proven track record of ...

They are seeking a Senior Engineering Manager, MLOps to build and scale the infrastructure that supports production-grade Machine Learning, ensuring seamless operations for their Data Scientists and ...

Senior MLOps Engineer

$107K - $146K/yr

Position Summary We're hiring a Senior MLOps Engineer with deep machine learning engineering ... IAM, least privilege, secrets management, audit logs, encryption, data retention, and PHI/PII ...

MLOps Engineer

$140K - $175K/yr

Strategic Healthcare Programs (SHP) is a leading provider of analytics and performance management ... engineering practices * Curious about ML and motivated to ramp into it Nice-to-Have: * Prior MLOps ...

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Manager Mlops Engineer information

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How much do manager mlops engineer jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for manager mlops engineer in the United States is $55.99, according to ZipRecruiter salary data. Most workers in this role earn between $40.14 and $74.52 per hour, depending on experience, location, and employer.

What is the difference between Manager Mlops Engineer vs Data Scientist?

AspectManager Mlops EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with MLOps toolsDegree in Data Science, Statistics, or related; proficiency in programming and analytics
Work EnvironmentCollaborates with engineering and operations teams to deploy ML modelsAnalyzes data, builds models, and interprets results for business insights
Industry UsageUsed in tech, finance, healthcare for deploying ML solutionsCommon across tech, marketing, research for data analysis and modeling

The Manager Mlops Engineer focuses on deploying and maintaining machine learning models in production environments, overseeing MLOps pipelines. In contrast, Data Scientists primarily analyze data and develop models for insights. Both roles require technical skills but differ in their focus on deployment versus analysis.

More about Manager Mlops Engineer jobs
What cities are hiring for Manager Mlops Engineer jobs? Cities with the most Manager Mlops Engineer job openings:
What are the most commonly searched types of Mlops Engineer jobs? The most popular types of Mlops Engineer jobs are:
What states have the most Manager Mlops Engineer jobs? States with the most job openings for Manager Mlops Engineer jobs include:
Infographic showing various Manager Mlops Engineer job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $116,463 per year, or $56 per hour.

MLOPS Engineer

Tror AI for everyone

Concord, CA โ€ข On-site

Contractor

Re-posted 25 days ago


Job description

Job Role: MLOPS Engineer

Job Location:ย  Concord, CA (100% Onsite)

Job Type: Contract

Key Responsibilities:

  • Develop and maintain ML pipelines using tools like MLflow, Kubeflow, or Vertex AI.ย 
  • Automate model training, testing, deployment, and monitoring in cloud environments (e.g., GCP, AWS, Azure).
  • Implement CI/CD workflows for model lifecycle management, including versioning, monitoring, and retraining.
  • Monitor model performance using observability tools and ensure compliance with model governance frameworks (MRM, documentation, explainability)
  • Collaborate with engineering teams to provision containerized environments and support model scoring via low-latency APIs
  • Leverageย AutoML toolsย (e.g., Vertex AI AutoML, H2O Driverless AI) for low-code/no-code model development, documentation automation, and rapid deployment

Qualifications:

  • 10+ Years of professional experience in Software Engineering & 3+ Years in AIML, Machine Learning Model Operations.
  • Strong proficiency in Java and Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch).
  • Experience with cloud platforms and containerization (Docker, Kubernetes).
  • Hands on experience delivering 3-4 end to end Production projects
  • Familiarity with data engineering tools (e.g., Airflow, Spark) and ML Ops frameworks.
  • Solid understanding of software engineering principles and DevOps practices.
  • Good communication skills and able to manage stakeholders.
ย 
Thanks & Regards

Nagendra

US IT Recruiter |ย TROR LLC

Ph:ย 615-857-6282ย |ย Email: nregella@tror.ai

LinkedIn:ย https://www.linkedin.com/in/nagendra-nag-1b7665b8/

Website:ย https://tror.ai

Address: 401 Ronan Way, Spring Hill, TN 37174ย