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Ml Devops Engineer Jobs (NOW HIRING)

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 ...

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 ...

Apply Early

Huntington Ingalls Industries

DEVOPS ENGINEER

Newport News, VA · On-site

$48 - $65.75/hr

You will work closely with data scientists and ML engineers to ensure scalable, secure, and efficient operations across the ML lifecycle. Key responsibilities include: • Developing and maintaining ...

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, 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, 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

AI/ML Engineer

Hampton, VA · On-site

R0242615 AI/ML Engineer The Opportunity: Imagine using artificial intelligence (AI) to improve ... 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.

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 ...

Booz Allen Hamilton

DevOps Engineer

Fort Belvoir, VA

$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 ...

1 point system

DevOps Engineer

Bentonville, AR · On-site

$46.25 - $63.25/hr

... ML/AI workloads (model serving infrastructure, GPU provisioning) • GCP Professional DevOps Engineer or Cloud Architect certification • Familiarity with ArgoCD, Helm, or GitOps workflows • ...

IMPYRIAN

DevOps Engineer

Ashburn, VA · On-site

$130K - $180K/yr

Collaborate closely with AI/ML engineers, data scientists, software engineers, and security teams to operationalize models and applications. * Support MLOps workflows including model deployment ...

Judge Group, Inc.

DevOps Engineer

Columbus, OH · On-site

$65 - $70/hr

Columbus, OH Salary: $65.00 USD Hourly - $70.00 USD Hourly Description: DevOps Engineer (GitOps ... Contribute to the design and development of scalable ML platforms , including training, deployment ...

Cuboid IT Solutions

DevOps Engineer

Washington, DC · On-site

$59.75 - $81.75/hr

Title: DevOps Engineer Location: Washington, DC: 100% Onsite (Only Locals) Duration: 12 + Months ... Previous experience working in AI/ML projects * Previous development experience in Go/Python

Nou Systems Inc

DevOps Engineer

Huntsville, AL · On-site

$120K - $165K/yr

As an DevOps Engineer, you will help architect, implement, and maintain modern ML development pipelines. You'll collaborate across multiple research teams, supporting their ability to develop, test ...

Apply Early

Nou Systems Inc

DevOps Engineer

Colorado Springs, CO · On-site

$120K - $165K/yr

As an DevOps Engineer, you will help architect, implement, and maintain modern ML development pipelines. You'll collaborate across multiple research teams, supporting their ability to develop, test ...

Esolvit, Inc.

Senior DevOps Engineer

Austin, TX · On-site

$128K - $165K/yr

Senior DevOps Engineer Location: Austin, TX Duration: Long Term Senior DevOps Engineer with ... ML concepts and platform integration * 8 Years of Experience with Azure Monitoring and Log ...

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All JobsMl Devops Engineer Jobs

ML Devops Engineer information

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How much do ml devops engineer jobs pay per hour?

As of Jul 2, 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.

Is DevOps dead due to AI?

DevOps engineers focus on automating and streamlining software development and deployment processes. While AI tools are increasingly used to enhance automation and monitoring, they complement rather than replace the core DevOps practices, making the role still relevant and evolving with new technologies.

What engineer makes $500,000 a year?

A senior or lead Machine Learning DevOps Engineer with extensive experience, advanced skills in cloud platforms, automation, and infrastructure management can earn $500,000 or more annually, especially in high-cost-of-living areas or large tech companies. Such roles often require strong expertise in tools like Kubernetes, Docker, and CI/CD pipelines, along with relevant certifications and a track record of managing complex ML deployment environments.

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.

Is DevOps still in demand in 2026?

DevOps engineers remain in high demand in 2026 due to the ongoing need for automation, continuous integration, and deployment in software development. Skills in cloud platforms, containerization, and automation tools like Jenkins and Kubernetes are especially valuable in this field.

What is the salary of DevOps engineer vs ML engineer?

DevOps engineers typically earn between $80,000 and $140,000 annually, depending on experience and location, while ML engineers often have salaries ranging from $100,000 to $160,000 or higher. ML engineers usually require specialized skills in machine learning frameworks and data handling, which can influence compensation levels.

What are ML DevOps Engineers?

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 June 2026, with employment types broken down into 100% Full Time. Highlights an 78% Physical, 7% Hybrid, and 15% Remote job distribution, with an average salary of $122,950 per year, or $59.1 per hour.
DevOps Engineers

DevOps Engineers

Artera Technologies

Fort George G Meade, MD • On-site

$58.50 - $80.25/hr

Full-time

Posted 7 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 [email protected].
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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