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Ml Devops Engineer Jobs (NOW HIRING)

Artera Technologies

DevOps Engineers

Annapolis Junction, MD · On-site

$54 - $73.75/hr

... s Engineer must be detailed oriented, have strong organizational skills, and excellent ... AI/ML), DevOps support, systems engineering and more. We hire and retain top talent to deliver ...

Artera Technologies

DevOps Engineers

Fort George G Meade, MD · On-site

$58.50 - $80.25/hr

... s Engineer must be detailed oriented, have strong organizational skills, and excellent ... AI/ML), DevOps support, systems engineering and more. We hire and retain top talent to deliver ...

3B Staffing LLC

AWS DevOps Engineer

Murphy, TX · On-site

$50.50 - $69/hr

AWS DevOps Engineer with AI/ML Location: Plano, TX Duration: 06 Month RTH Must Have Skills: * AI/ML knowledge (2-3 years) * AWS * Observability tools - Grafana, Slunk, Dynatrace * Automation ...

3B Staffing LLC

AWS DevOps Engineer

Murphy, TX · On-site

$50.50 - $69/hr

AWS DevOps Engineer with AI/ML Location: Plano, TX Duration: 06 Month RTH Must Have Skills: * AI/ML knowledge (2-3 years) * AWS * Observability tools - Grafana, Slunk, Dynatrace * Automation ...

Booz Allen Hamilton

AI/ML Engineer

Hampton, VA · Hybrid

AI/ML Engineer The Opportunity: Imagine using artificial intelligence (AI) to improve critical ... As a DevOps engineer, you know how to create efficient and effective solutions so you can quickly ...

Booz Allen Hamilton

AI/ML Engineer

Norfolk, VA · Hybrid

AI/ML Engineer The Opportunity: Imagine using artificial intelligence (AI) to improve critical ... As a DevOps engineer, you know how to create efficient and effective solutions so you can quickly ...

Booz Allen Hamilton, Inc.

AI/ML Engineer

Hampton, VA · On-site

AI/ML Engineer The Opportunity: Imagine using artificial intelligence (AI) to improve critical ... As a DevOps engineer, you know how to create efficient and effective solutions so you can quickly ...

Booz Allen Hamilton, Inc.

AI/ML Engineer

Hampton, VA · On-site

Norfolk, Virginia, USA AI/ML Engineer The Opportunity: Imagine using artificial intelligence (AI ... As a DevOps engineer, you know how to create efficient and effective solutions so you can quickly ...

Booz Allen Hamilton, Inc.

DevOps Engineer

Fort Belvoir, VA · On-site

$77K - $176K/yr

ML, DevOps, or solution architecture Certification Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified ...

Booz Allen Hamilton

DevOps Engineer

Fort Belvoir, VA · On-site

$77K - $176K/yr

ML, DevOps, or solution architecture Certification Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified ...

IMPYRIAN

DEVOPS ENGINEER

Ashburn, VA · On-site

$130K - $180K/yr

The Senior DevOps / MLOps Engineer to design, implement, and operate secure, scalable, and highly ... Collaborate closely with AI/ML engineers, data scientists, software engineers, and security teams ...

Paramount

Lead DevOps Engineer

Manhattan, NY · On-site

$58 - $79.50/hr

Lead DevOps Engineer - Applied Intelligence Personalization Job ID: 44659 Location: New York, NY ... Preferred / Additional Qualifications - Experience deploying and operating ML models in production ...

Paramount

Lead DevOps Engineer

Manhattan, NY · On-site

$58 - $79.50/hr

Lead DevOps Engineer - Applied Intelligence Personalization Job ID: 44659 Location: New York, NY ... Preferred / Additional Qualifications - Experience deploying and operating ML models in production ...

Tek Inspirations LLC

DevOps Engineer

Boston, MA · On-site

$57.25 - $78.50/hr

- Job Title: DevOps Engineer (Azure Platform) Location: Wilmington, MA(HYBRID) Must be local to MA ... Knowledge of AI/ML workflows, model deployment, or MLOps concepts (preferred but not required)

Copart, Inc.

DevOps Engineer

Dallas, TX · On-site

$52.25 - $71.50/hr

Position Overview We are seeking a highly skilled Mid-Level to Senior DevOps Engineer with hands-on ... Deploy, manage, and optimize AI/ML workloads in production environments. * Support LLM-based ...

nou Systems, Inc.

DevOps Engineer

Huntsville, AL · On-site

$52.25 - $71.75/hr

They are seeking a DevOps Engineer to support teams working on advanced AI/ML applications, helping to deploy and standardize machine learning workflows for various projects. Responsibilities : • ...

Stanford Health Care

DevOps Engineer

Newark, CA · On-site

$59.25 - $81.25/hr

Day - 08 Hour (United States of America) We are seeking a high-caliber Senior AI Platform & ML Ops ... DevOps (Kubernetes, Terraform, DevOps orchestration) with Agentic Application Development ...

OVA.Work

AI DevOps Engineer

$54 - $74/hr

... ML models in production using model serving frameworks and MLOps tools. • Monitor application ... DevOps, Cloud Engineering, Platform Engineering, or Site Reliability Engineering (SRE). • ...

Clera

Senior DevOps Engineer

New York, NY · On-site

$160K - $200K/yr

Working closely with backend and ML engineers, you'll be the person who makes GitOps ... Mentor team members on DevOps best practices and guide infrastructure strategy What We're Looking ...

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All JobsMl Devops Engineer Jobs

ML Devops Engineer information

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$19

$59

$90

How much do ml devops engineer jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for ml devops engineer in the United States is $59.11, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $69.23 per hour, depending on experience, location, and employer.

How does an ML DevOps engineer typically collaborate with data scientists and software engineers on machine learning projects?

An ML DevOps Engineer plays a crucial role in bridging the gap between data scientists and software engineers by operationalizing machine learning models. They work closely with data scientists to understand model requirements and assist in preparing models for deployment, ensuring scalability and reliability. Additionally, they collaborate with software engineers to integrate models into production systems, automate workflows, and maintain infrastructure. This cross-functional teamwork often involves regular meetings, code reviews, and shared documentation, fostering a collaborative and agile environment.

What is the difference between Ml Devops Engineer vs Data Scientist?

AspectMl Devops EngineerData Scientist
Required SkillsMachine learning, DevOps tools, scripting, cloud platformsStatistics, data analysis, machine learning, programming
Work EnvironmentCollaborates with DevOps and ML teams, focuses on deployment and automationAnalyzes data, builds models, interprets results
CertificationsCloud certifications, ML certifications, DevOps toolsData science certifications, statistical courses

The main difference between an Ml Devops Engineer and a Data Scientist lies in their focus areas. Ml Devops Engineers specialize in deploying, automating, and maintaining machine learning models within production environments, combining DevOps practices with ML expertise. Data Scientists primarily focus on analyzing data, building models, and deriving insights. Both roles require knowledge of machine learning, but their responsibilities and skill sets differ significantly.

What are the key skills and qualifications needed to thrive as an ML DevOps engineer, and why are they important?

To thrive as an ML DevOps Engineer, you need strong skills in machine learning, software engineering, and cloud infrastructure, often supported by a degree in computer science or related fields. Familiarity with tools like Docker, Kubernetes, CI/CD systems, and platforms such as AWS or Azure, as well as experience with MLOps frameworks, is typically required. Excellent problem-solving, collaboration, and communication skills help you bridge the gap between data science and engineering teams. These competencies are crucial for reliably deploying, scaling, and maintaining machine learning models in production environments.

Are ML Devops engineers still in demand?

ML DevOps engineers are in high demand due to the increasing adoption of machine learning models in production environments. Skills in cloud platforms, containerization, automation, and monitoring are highly valued as organizations seek to deploy scalable and reliable AI solutions.

What is an ML DevOps engineer?

ML DevOps Engineers are professionals who bridge the gap between machine learning (ML) development and operations (DevOps). They are responsible for automating, deploying, monitoring, and maintaining machine learning models in production environments. Their work ensures that ML models are scalable, reliable, and integrated seamlessly within an organization's infrastructure. ML DevOps Engineers collaborate with data scientists, software engineers, and IT teams to streamline the ML lifecycle from model development to deployment and monitoring.
More about ML Devops Engineer jobs
What job categories do people searching Ml Devops Engineer jobs look for? The top searched job categories for Ml Devops Engineer jobs are:
ML Devops Engineer jobs near you
Infographic showing various Ml Devops Engineer job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $122,950 per year, or $59.1 per hour.

DevOps Engineers

Artera Technologies

Annapolis Junction, MD • On-site

$54 - $73.75/hr

Full-time

Re-posted 17 days ago

Job description

DEVOPS ENGINEERS
Job Type: Full Time
Level: Mid, Senior, Principal
Location: Maryland (Annapolis Junction / Fort Meade area)
Security Clearance: TS/SCI with Appropriate Agency Polygraph

Artera Technologies, LLC’s Cloud and DevOps engineering teams develop tools and methods to maximize application, software, and infrastructure resources. We build superior solutions to optimize and support our clients’ large datasets.
Tasking:
The DevOps Engineer shall be responsible for performing System Integration activities including installation, configuration, and sustainment of FOSS/COTS/GOTS software tools, packages, and libraries in a Linux environment.  The DevOps Engineer must be detailed oriented, have strong organizational skills, and excellent troubleshooting skills to include the identification and resolution of issues, problems, and trouble tickets related to the same.  Responsible for:
  • Linux DevOps engineering; scripting with Bash/Python; requires Kubernetes experience and Ansible/Puppet knowledge.
  • STE/STN compliance of their supported systems; execute and implement solutions to ensure all supported tools remain compliant with STE/STN requirements as they evolve over time.
  • Bring consistency to contract’s support and security posture, allowing analysts to navigate the vast ecosystem of analytic capability to accomplish mission.
  • Provide support across contract and partners with the IC community when tools support users outside NSA.

Skills & Experience:
  • Experience using the Linux CLI
  • Experience developing and maintaining scripts using Bash/Python
  • Experience installing, configuring, and supporting COTS/GOTS/FOSS software, libraries, and packages in a Linux environment
  • Experience with containerization technologies such as Docker and containerd
  • Experience with container orchestration technologies such as Kubernetes
  • Experience administering Kubernetes clusters on bare metal in a Linux environment
  • Experience with IaC (Infrastructure as Code) concepts, principles and automation tools such as Ansible and Terraform  
  • Experience with CI/CD principles, methodologies, and tools such as GitLab CI
  • Familiarity with Site Reliability Engineering (SRE) principles and applications
  • Experience with Linux cluster/node monitoring tools
  • Experience with the Atlassian Tool Suite (JIRA, Confluence)
  • Experience with Git Version Control System

General Qualifications:
  • DevOps Engineer Level 1 requires a bachelor’s degree in system engineering, Computer Science, Information Systems, Engineering Science, Engineering Management, or related discipline, and 3-6 years of experience as a DevOps engineer on programs and contracts of similar scope, type, and complexity.
  • DevOps Engineer Level 2 requires a bachelor’s degree in system engineering, Computer Science, Information Systems, Engineering Science, Engineering Management, or related discipline, and 6-8 years of experience as a DevOps engineer on programs and contracts of similar scope, type, and complexity.
  • DevOps Level 3 requires a bachelor’s degree in system engineering, Computer Science, Information Systems, Engineering Science, Engineering Management, or related discipline, and 8+ years of experience as a DevOps engineer on programs and contracts of similar scope, type, and complexity.
  • Five (5) additional years of relevant experience may be accepted in lieu a bachelor’s degree on some contracts.

About Us!
Artera Technologies, LLC is an energetic, employee-focused, woman-owned business headquartered in Ellicott City, MD.  Founded in 2012, Artera offers innovative software and systems engineering solutions to the Intelligence Community (IC).  We specialize in Computer Network Operations (CNO), embedded development, software engineering, cloud engineering, Artificial Intelligence and Machine Learning (AI/ML), DevOps support, systems engineering and more.  We hire and retain top talent to deliver leading-edge solutions to help solve our customer’s mission challenges.  Artera was founded with the conviction that organizational culture is the key to delivering powerful solutions.  Since 2012, our tight-knit team of tech professionals have committed to our core values: Integrity, Customer Mission Success, and Employee Growth & Engagement.
Ready to make a difference?
With a large variety of projects and contracts we can find the right fit—skills, growth opportunities, and personality—for each of our employees.  To apply, please visit www.arteratech.com or email your resume to staffing@arteratech.com.  
Artera Technologies, LLC provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, or any other protected class.
 

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