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On Call Machine Learning Ops Engineer Jobs (NOW HIRING)

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 ...

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 ...

Machine Learning Ops Engineer, Global SRE

San Jose, CA · On-site

$254K - $480K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Responsibilities MLOps - Global SRE team is responsible for the stability of machine learning systems under the Global Monetization Products and Technology organization, to ensure the stable and ...

Machine Learning/AI Engineer

Merrifield, VA · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Machine Learning/AI Engineer Location: Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and ... Knowledge of Machine Learning Ops and CI/CD tools for automation of build, test, and deploy models ...

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 ...

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 ...

Machine Learning/AI Engineer

Merrifield, VA · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Machine Learning/AI Engineer Location: Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and ... Knowledge of Machine Learning Ops and CI/CD tools for automation of build, test, and deploy models ...

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 ...

Machine Learning/AI Engineer

Merrifield, VA · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Machine Learning/AI Engineer Location: Hybrid in Vienna, VA or Remote Pay Rate: Open to Both W2 and ... Knowledge of Machine Learning Ops and CI/CD tools for automation of build, test, and deploy models ...

Senior ML Ops Engineer

$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 ...

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 ...

Senior ML Ops Engineer

$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 ...

Overview LMI is seeking a Machine Learning Operations Engineer (ML Ops Engineer) to support the development of cutting-edge AI/ML solutions in collaboration with the Army's AI2C organization. This ...

Overview LMI is seeking a Machine Learning Operations Engineer (ML Ops Engineer) to support the development of cutting-edge AI/ML solutions in collaboration with the Army's AI2C organization. This ...

Overview LMI is seeking a Machine Learning Operations Engineer (ML Ops Engineer) to support the development of cutting-edge AI/ML solutions in collaboration with the Army's AI2C organization. This ...

Showing results 21-40

On Call Machine Learning Ops Engineer information

See salary details

$31.5K

$128.8K

$193.5K

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

As of Aug 19, 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.
More about On Call Machine Learning Ops Engineer jobs

What cities are hiring for On Call Machine Learning Ops Engineer jobs?

Cities with the most On Call Machine Learning Ops Engineer job openings:

What are the most commonly searched types of Machine Learning Ops Engineer jobs?

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

Infographic showing various On Call Machine Learning Ops Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.

Full-time

Posted 4 days ago


Job description

Job Title: ML Ops Engineer
Location: Concord, California (Local candidates only - in-person interview required)
Job Type: 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 drive the full lifecycle of machine learning solutions - from pipeline development through deployment, monitoring, and governance.
Key Responsibilities
  • Develop and maintain ML pipelines using tools like MLflow, Kubeflow, or Vertex AI
  • Automate model training, testing, deployment, and monitoring in cloud environments (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
  • Leverage AutoML tools (Vertex AI AutoML, H2O Driverless AI) for low-code/no-code model development and rapid deployment
Required Skills
  • Strong proficiency in Java, Python, and SQL
  • ML libraries: scikit-learn, XGBoost, TensorFlow, PyTorch
  • Cloud platforms: GCP, AWS, Azure
  • Containerization: Docker, Kubernetes
  • Data engineering tools: Airflow, Spark
  • ML Ops frameworks and DevOps practices
Preferred Skills
  • Experience with AutoML platforms (Vertex AI AutoML, H2O Driverless AI)
  • Familiarity with model governance and explainability frameworks
Location & Work Model
Onsite - Concord, California. Local candidates only; in-person interview required.
Engagement Details
Contract engagement. Please apply with your updated resume and current location.