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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 ...

Impyrian

DevOps Engineer

Ashburn, VA

$54 - $74/hr

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

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 ...

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 ...

The AES Group

Senior DevOps Engineer

Seattle, WA · Remote

$133K - $170K/yr

Senior DevOps Engineer Location: Remote - USA The AES Group is hiring an experienced Senior DevOps ... Work on cutting-edge cloud transformation and AI/ML infrastructure projects * Opportunity to ...

Guru Schools

Cloud/DevOps Engineer

Washington, DC · On-site

$59.75 - $81.75/hr

Position Title * Cloud/DevOps Engineer Position Responsibilities 100% REMOTE EST HOURS ... Provision, maintain, and optimize compute clusters for ML workloads (e.g., Kubernetes, ECS/EKS ...

Synergy ECP

Senior DevOps Engineer

Columbia, MD · On-site

$126K - $162K/yr

They are seeking a highly experienced and technically proficient Senior DevOps Engineer to focus on ... ML engineers and data scientists to streamline deployment processes and optimize resource ...

ACI Infotech

senior DevOps Engineer

Vienna, VA · On-site

$130K - $167K/yr

Senior DevOps Engineer Duration: 12+ Months Location: VA Senior DevOps Engineer that would ... ML, federated queries, ML, security - Expose data sources - Incorporate federation - expose data ...

Vumedi Inc.

DevOps Engineer

Oak, NE · On-site

$52.50 - $72/hr

You'll also support and enable emerging AI/ML and LLM-powered systems used for large-scale medical ... You have 5+ years of experience in DevOps, SRE, or infrastructure engineering, with a strong focus ...

4pconsultinginc

DevOps Engineer 4

Atlanta, GA · On-site

$50.75 - $69.50/hr

... DevOps Engineer (Level 4) to join our team. This role focuses on designing, deploying, and ... Build and maintain CI/CD pipelines to support ML models, data workflows, and web applications.

WorkNovas LLC

DevOps Engineer

Reston, VA · On-site

$55 - $75.25/hr

... AI/ML-driven tools and automation to improve pipeline efficiency, anomaly detection, incident ... DevOps, Cloud Engineering, or related roles • Hands-on experience with CI/CD tools (GitLab ...

VuMedi Inc.

DevOps Engineer

Oakland, CA

$60.50 - $83/hr

You'll also support and enable emerging AI/ML and LLM-powered systems used for large-scale medical ... You have 5+ years of experience in DevOps, SRE, or infrastructure engineering, with a strong focus ...

SafeTraces, Inc.

DevOps Engineer

Pleasanton, CA · On-site

$58.75 - $80.50/hr

DevOps Engineer Join our mission of pathogen-proofing indoor environments and ensuring health ... Build CI/CD pipelines (GitHub Actions, Jenkins, etc.) for deploying services, ML models, web/mobile ...

Qualcomm

DevOps Engineer

Austin, TX · On-site

$52.25 - $71.50/hr

Qualcomm Technologies, Inc. is seeking an experienced DevOps Engineer to help deliver the future of ... The role involves managing cross-site infrastructure and tools to support Qualcomm's ML teams ...

SafeTraces, Inc.

DevOps Engineer

Pleasanton, CA

$58.75 - $80.50/hr

DevOps Engineer Join our mission of pathogen-proofing indoor environments and ensuring health ... Build CI/CD pipelines (GitHub Actions, Jenkins, etc.) for deploying services, ML models, web/mobile ...

Venus Consultancy

DevOps Engineer

Cambridge, MA · On-site

$57.75 - $79/hr

DevOps Engineer U.S. GenAI startup, Cambridge Office Full-Time Employment with We . We are ... Knowledge of AI/ML infrastructure requirements and optimization * Experience with GPU orchestration ...

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Ml Devops Engineer information

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How much do ml devops engineer jobs pay per hour?

As of Jun 7, 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.

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 May 2026, with employment types broken down into 93% Full Time, 1% Part Time, 1% Temporary, and 5% Contract. Highlights an 77% Physical, 8% 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

Annapolis Junction, MD • On-site

$54 - $73.75/hr

Full-time

Posted 10 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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