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Head Of Mlops Engineer Jobs (NOW HIRING)

MLOPS Engineer

Malvern, PA · On-site

$50 - $60/hr

Knowledge of MLOps platforms * Good experience with Sage Maker * Proven 8+ years of professional experience across MLOps, DevOps, or similar disciplines. * Knowledge in the life cycle management of ...

Job Title: Principal MLOps Engineer Location: Sunnyvale, CA Job Type: - Contract - 12+ Months ... Architect and lead the development of scalable and robust ML infrastructure to support the entire ...

MLOPS Engineer Location: Chicago, IL Duration: 12+ months Position type: W2 contract Required Skills f or the MLOps Engineer: - Bachelor's plus 9+ years of experience, Master ...

Overall, 8-10 years of solid experience in the areas of data engineering / machine learning / data ... to-End MLOps architecture, with practical expertise in Databricks Unity Catalog, MosaicAI ...

Lead hands-on implementation of automation-first DevOps and MLOps practices, enabling infrastructure-as-code and consistent, repeatable environment provisioning * Design and manage intelligent ...

MLOps Engineer Location: Grapevine, TX & Dallas, TX - (Hybrid) Duration: 6+ Months Contract Key ... of Machine Learning, MLOps, MLflow, Kubeflow, Python/R, SQL, Big Data, GCP, and Shell scripting.

MLOPS Engineer Location : Scottsdale AZ (Onsite) Indents : We are looking for a skilled MLOps ... The role focuses on enabling seamless integration of ML models into enterprise systems with ...

New

Overview/ Job Responsibilities Job Summary We are seeking a skilled MLOps Engineer to join our team and ensure the seamless deployment, monitoring, and optimization of AI models in production. The ...

Overview/ Job Responsibilities Job Summary We are seeking a skilled MLOps Engineer to join our team and ensure the seamless deployment, monitoring, and optimization of AI models in production. The ...

Lead hands-on implementation of automation-first DevOps and MLOps practices, enabling infrastructure-as-code and consistent, repeatable environment provisioning * Design and manage intelligent ...

mlops Engineer

Richfield, PA · On-site

$60K - $135K/yr

Job Title: mlops Engineer City: Richfield State/Province: Minnesota Posting Start Date: 7/2/26 ... Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and ...

Job Summary We are seeking a skilled MLOps Engineer to join our team and ensure the seamless deployment, monitoring, and optimization of AI models in production. The MLOps Engineer will design ...

MLOps Engineer Location: San Francisco, CA, USA (Hybrid/Remote) Job Type: Full-Time About the Role ... Understanding of machine learning workflows and model deployment. * Strong problem-solving and ...

Lead hands-on implementation of automation-first DevOps and MLOps practices, enabling infrastructure-as-code and consistent, repeatable environment provisioning * Design and manage intelligent ...

Lead hands-on implementation of automation-first DevOps and MLOps practices, enabling infrastructure-as-code and consistent, repeatable environment provisioning * Design and manage intelligent ...

Lead hands-on implementation of automation-first DevOps and MLOps practices, enabling infrastructure-as-code and consistent, repeatable environment provisioning * Design and manage intelligent ...

Overview/ Job Responsibilities Job Summary We are seeking a skilled MLOps Engineer to join our team and ensure the seamless deployment, monitoring, and optimization of AI models in production. The ...

Job Summary We are seeking a skilled MLOps Engineer to join our team and ensure the seamless deployment, monitoring, and optimization of AI models in production. The MLOps Engineer will design ...

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Head Of Mlops Engineer information

What engineers make 300,000 a year?

Senior engineers in specialized fields such as software engineering, data engineering, and machine learning engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and working in high-demand industries or companies. Roles like Head of MLOps or senior AI engineers often reach this compensation level, particularly when including bonuses and stock options.

Are MLOps engineers in demand?

MLOps engineers are in high demand due to the increasing adoption of machine learning and AI across industries. Companies seek professionals skilled in deploying, managing, and scaling machine learning models using tools like Kubernetes, Docker, and cloud platforms, making it a growing and competitive field.

Will MLE be replaced by AI?

As a Head of MLOps Engineering, it is unlikely that machine learning engineers (MLEs) will be fully replaced by AI, as MLEs are essential for designing, deploying, and maintaining AI systems. AI tools can automate certain tasks, but human expertise is needed for model development, troubleshooting, and ensuring ethical use. MLOps professionals focus on operationalizing AI models, which requires a combination of technical skills and domain knowledge that AI alone cannot replicate.

What engineer makes $500,000 a year?

Senior machine learning engineers, especially those in leadership roles like Head of MLOps or with extensive experience in deploying scalable AI systems, can earn $500,000 or more annually. High compensation often reflects expertise in cloud platforms, automation tools, and advanced ML frameworks, along with strong business impact and leadership skills.
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Infographic showing various Head Of Mlops Engineer job openings in the United States as of July 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.
MLOPS Engineer

MLOPS Engineer

Siri InfoSolutions Inc

Malvern, PA • On-site

$50 - $60/hr

Contractor

Posted 3 days ago


Job description

Role: MLOps Engineer

Location: Malvern, PA / Raleigh, NC or USA Any LOcation (Onsite)

Duration: Contract

  • Knowledge of MLOps platforms
  • Good experience with Sage Maker
  • Proven 8+ years of professional experience across MLOps, DevOps, or similar disciplines.
  • Knowledge in the life cycle management of Machine Learning models.
  • Proficiency with Machine Learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
  • An in-depth understanding of contemporary software engineering techniques.
  • Docker, Kubernetes, and/or Python or R expertise.
  • Expertise in cloud computing systems, including AWS, Azure, and GCP.
  • Working experience with version control systems such as Git, automation tools, and CI/CD pipelines

Siri Infosolutions logo

About Siri Infosolutions

Sourced by ZipRecruiter

Our team of experts first gather each and every requirement of yours. Our research and development team then sit around those requirements and come up with a plan. Our implementation team then executes that plan for optimal results. After that our support team remains in constant touch with you during and after the entire process.

Industry

It services

Company size

201 - 500 Employees

Headquarters location

Edison, NJ, US

Year founded

2005