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Mlops Manager Jobs (NOW HIRING)

MLOPS Engineer

Malvern, PA · On-site

$50 - $60/hr

Role: MLOps Engineer Location: Malvern, PA / Raleigh, NC or USA Any LOcation (Onsite) Duration ... Knowledge in the life cycle management of Machine Learning models. * Proficiency with Machine ...

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 ...

MLOps Architect

$66.25 - $87/hr

Info Way Solutions is seeking a Senior MLOps Architect responsible for architecting and ... Design and manage cloud-based and on-premises infrastructure for ML model training and deployment ...

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 ...

MLOps Lead

New York, NY · On-site

$112K - $147K/yr

S/He will be accountable for building a trusted relationship, at middle and senior management across lines. Technical Leadership: * As the MLOps leader, S/he will support client projects, lead ...

Key Responsibilities • Design, build, and maintain end-to-end MLOps pipelines for model training ... manage machine learning models in production environments. • Develop scalable data and model ...

MLOps Architect

Arlington, VA · On-site

$117K - $189K/yr

MLOps & GenAI Platform Architecture * Design and implement scalable ML and LLM infrastructure on ... Managed services (e.g., SageMaker endpoints, Bedrock-style APIs) * Containerized custom inference ...

MLOps Engineer Location: Tampa, FL Seeking a candidate with a 5 to 7 years of experience in MLOps ... management Ensure compliance with security governance and quality standards in ML operations ...

Senior MLOps / LLMOps Engineer

Milpitas, CA · On-site

$119K - $163K/yr

Standardize MLOps and LLMOps workflows across teams Build and optimize CI/CD pipelines for ML and GenAI applications Deploy, monitor, and manage models in production environments Establish best ...

MLOps Engineer Duration: 6 months+, possible extension Rate: $80/hr+, depending on experience ... management Data & Cloud Ecosystem Experience with: GCP (preferred), Azure, or hybrid environment ...

Optimize and manage cloud-based ML workloads using AWS, GCP, or Azure, ensuring cost-eJiciency and scalability. * Lead and mentor a team of MLOps engineers, collaborating closely with data scientists ...

MLOps Engineer

Mclean, VA

$115K - $150K/yr

We are seeking a MLOps Engineer to design, build, and support the infrastructure, tooling, and ... Build and manage core ML platform components such as model registries, experiment tracking systems ...

MLOps Engineer

Mclean, VA · On-site

$115K - $150K/yr

The MLOps Engineer works closely with Data Scientists, AI Developers, Data Engineers, and cloud ... Build and manage core ML platform components such as model registries, experiment tracking systems ...

MLOps Engineer

Mclean, VA · On-site

$115K - $150K/yr

The MLOps Engineer works closely with Data Scientists, AI Developers, Data Engineers, and cloud ... Build and manage core ML platform components such as model registries, experiment tracking systems ...

The MLOps Engineer will design, implement, and maintain end-to-end machine learning pipelines ... Deploy and manage machine learning models in production using tools like MLflow, Kubeflow, or AWS ...

The MLOps Engineer will design, implement, and maintain end-to-end machine learning pipelines ... Deploy and manage machine learning models in production using tools like MLflow, Kubeflow, or AWS ...

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 ...

This is a hands-on technical leadership role, not a management position; you will be a primary ... Own the technical direction for the MLOps platform - define subsystem interfaces, drive ...

The MLOps Engineer will design, implement, and maintain end-to-end machine learning pipelines ... Deploy and manage machine learning models in production using tools like MLflow, Kubeflow, or AWS ...

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Showing results 1-20

Mlops Manager information

What is an MLOps manager?

MLOps Managers are professionals responsible for overseeing the deployment, operation, and scaling of machine learning models in production environments. They coordinate teams to ensure seamless collaboration between data scientists, engineers, and IT staff, facilitating the automation of machine learning workflows. Their role involves managing infrastructure, optimizing processes for model monitoring and maintenance, and ensuring compliance with organizational and industry standards. MLOps Managers play a key role in bridging the gap between model development and operationalization, ensuring that machine learning solutions are reliable, reproducible, and scalable.

What are the key skills and qualifications needed to thrive as an MLOps manager?

To thrive as an MLOps Manager, you need expertise in machine learning, software engineering, and DevOps practices, often backed by a degree in computer science or a related field. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, cloud platforms (AWS, Azure, GCP), and certifications such as AWS Certified Machine Learning or Google Cloud Professional ML Engineer are highly beneficial. Strong leadership, problem-solving, and cross-functional communication skills help manage teams and bridge the gap between data science and IT operations. These abilities are crucial for ensuring reliable, scalable, and efficient deployment of machine learning solutions in production environments.

What are some common challenges an MLOps manager faces when integrating machine learning models into production environments?

MLOps Managers often encounter challenges such as ensuring seamless collaboration between data science and engineering teams, managing model versioning, and maintaining reliable deployment pipelines. Balancing rapid experimentation with the need for robust, scalable, and secure production systems can be complex. Additionally, monitoring model performance post-deployment and handling data drift or model degradation are ongoing responsibilities. Effective communication and establishing standardized processes are key to overcoming these challenges and ensuring successful model operations.

What is the difference between Mlops Manager vs Data Scientist?

AspectMlops ManagerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; certifications in cloud platforms or MLOps toolsBachelor's/Master's in CS, Statistics, or related; certifications in data analysis or machine learning
Work EnvironmentCollaborates with engineering, DevOps, and data teams to deploy and maintain ML systemsAnalyzes data, builds models, and provides insights to inform business decisions
Employer & Industry UsageTech companies, AI startups, enterprises implementing ML pipelinesResearch institutions, tech firms, finance, healthcare, and marketing sectors

The Mlops Manager focuses on deploying, maintaining, and optimizing machine learning systems within an organization, working closely with engineering and DevOps teams. In contrast, a Data Scientist primarily analyzes data, develops models, and provides insights. While both roles require knowledge of machine learning, the Mlops Manager emphasizes operationalizing ML solutions, whereas the Data Scientist emphasizes data analysis and modeling.

More about Mlops Manager jobs

What cities are hiring for Mlops Manager jobs?

Cities with the most Mlops Manager job openings:

What are the most commonly searched types of Mlops jobs?

The most popular types of Mlops jobs are:

What states have the most Mlops Manager jobs?

States with the most job openings for Mlops Manager jobs include:

Infographic showing various Mlops Manager job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

MLOPS Engineer

Siri InfoSolutions Inc

Malvern, PA • On-site

$50 - $60/hr

Contractor

Re-posted 10 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