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On Call Machine Learning Ops Engineer Jobs (NOW HIRING)

Overview Machine Learning AI team seeking a ML Ops Engineer to drive the full lifecycle of machine learning solutions. Key Responsibilities * Develop and maintain ML pipelines using tools like MLflow ...

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 ...

$110 - $185/hr

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 ...

New

Experience with code version control platforms like GitHub, GitLab or Azure DevOps. Functional ... in continuous learning to improve our business and ourselves. We focus on four key behaviors ...

New

OPS Engineer

Gainesville, FL · On-site

$35.92 - $40.71/hr

OPS Engineer Job no: 540809 Work type: Temp Full-Time Location: Main Campus (Gainesville, FL ... Strong understanding of the breadth of machine learning to include supervised, unsupervised ...

OPS Engineer

Gainesville, FL · On-site

$35.92 - $40.71/hr

OPS Engineer Job no: 540809 Work type: Temp Full-Time Location: Main Campus (Gainesville, FL ... Strong understanding of the breadth of machine learning to include supervised, unsupervised ...

WI · On-site

$120 - $180/hr

We are looking for a Senior ML Ops Engineer to be part of revolutionizing these industries. We are ... Deploy and support machine learning models and AI solutions in production, maintaining best ...

Senior ML Ops Engineer

Columbus, OH · On-site

$100K - $138K/yr

This role sits at the intersection of infrastructure engineering and machine learning. You will own ... All team members, including leadership, participate in an on-call rotation (12 hour shifts). * CI ...

Senior ML Ops Engineer

Columbus, OH · On-site

$100K - $138K/yr

This role sits at the intersection of infrastructure engineering and machine learning. You will own ... All team members, including leadership, participate in an on-call rotation (12 hour shifts). * CI ...

Senior ML Ops Engineer

Columbus, OH · On-site

$148 - $222/hr

This role sits at the intersection of infrastructure engineering and machine learning. You will own ... All team members, including leadership, participate in an on-call rotation (12 hour shifts).* **CI ...

Senior ML Ops Engineer

Irving, TX · On-site

$140 - $200/hr

We are looking for a Senior ML Ops Engineer to be part of revolutionizing these industries. We are ... Deploy and support machine learning models and AI solutions in production, maintaining best ...

WI · On-site

$140 - $190/hr

We are looking for a Senior ML Ops Engineer to be part of revolutionizing these industries. We are ... Deploy and support machine learning models and AI solutions in production, maintaining best ...

... Ops engineer, or related position). Education Requirements Bachelor's Degree in Computer Science, Electrical Engineering, or related field required; Master's Degree preferred. Judgment / Reasoning ...

Showing results 41-60

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 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.

ML Ops Engineer

Donato Technologies, Inc

Charlotte, NC • On-site

$60/hr

Contractor

Re-posted 25 days ago


Job description

Overview

Machine Learning AI team seeking a ML Ops Engineer to drive the full lifecycle of machine learning solutions.
 
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 (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
  • Leverage AutoML tools (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).
  • Familiarity with data engineering tools (e.g., Airflow, Spark) and ML Ops frameworks.
  • Solid understanding of software engineering principles and DevOps practices.
  • Ability to communicate complex technical concepts to non-technical stakeholders.

Donato Technologies Inc. is a trusted IT staffing, consulting, and software development partner headquartered in Dallas, Texas. We support clients across industries by understanding their unique business needs and delivering tailored technology and workforce solutions. Our focus is on connecting the right talent with the right opportunity-ensuring clients receive dependable, skilled professionals and candidates receive meaningful career growth and support. We work closely with small to mid-sized organizations to provide flexible, high-quality services that drive performance, innovation, and long-term success.