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Ml Devops Engineer Jobs (NOW HIRING)

DevOps Engineer

Buffalo, NY ยท On-site

$93K - $142K/yr

As a DevOps engineer, you will be helping configure and maintain processes that automate software ... ML and AI enabled software tools supporting our defense, intelligence and homeland security ...

DevOps Engineer

Raleigh, NC ยท On-site

$51.25 - $70.25/hr

We are seeking a seasoned DevOps Engineer to join the Cloud Operations team in Raleigh, North ... Working knowledge and experience with ML OPS, Open-source large language models, TensorFlow, Cuda ...

ML Ops / Dev Ops Engineer

San Francisco, CA ยท On-site

$62.25 - $85/hr

About the Role As an ML / DevOps Engineer, you will play a pivotal role in advancing our infrastructure, scaling enterprise deployment workflows, and refining automation architectures to enable rapid ...

DevOps Engineer

Raleigh, NC

$51.25 - $70.25/hr

We are seeking a seasoned DevOps Engineer to join the Cloud Operations team in Raleigh, North ... Working knowledge and experience with ML OPS, Open-source large language models, TensorFlow, Cuda ...

DevOps Engineer

Raleigh, NC ยท On-site

$51.25 - $70.25/hr

We are seeking a seasoned DevOps Engineer to join the Cloud Operations team in Raleigh, North ... Working knowledge and experience with ML OPS, Open-source large language models, TensorFlow, Cuda ...

Java AI/ML Developer

Plano, TX ยท Hybrid

$49 - $63.50/hr

Hiring: Java AI/ML Developer Type: Hybrid Location: Plano, TX We are looking for an experienced ... Familiarity with CI/CD pipelines and DevOps practices Preferred Skills * Spring Boot ...

DevOps Engineer

Arlington, VA ยท On-site

$77K - $176K/yr

Booz Allen is the leading provider of AI services to the nation, and we're looking for a DevOps engineer with knowledge of AIOps, ML Ops, model ops, and data ops to develop tools and get them into ...

DevOps Engineer

Arlington, VA ยท On-site

$77K - $176K/yr

Booz Allen is the leading provider of AI services to the nation, and we're looking for a DevOps engineer with knowledge of AIOps, ML Ops, model ops, and data ops to develop tools and get them into ...

DevOps Engineer

Chantilly, VA ยท On-site

$54 - $74/hr

DevOps Engineer Location: Chantilly VA We are looking for a DevOps Engineer with experience in building, delivering, and maintaining high-performing, scalable, enterprise-grade applications. You will ...

DevOps Engineer

Arlington, VA ยท On-site

$77K - $176K/yr

Booz Allen is the leading provider of AI services to the nation, and we're looking for a DevOps engineer with knowledge of AIOps, ML Ops, model ops, and data ops to develop tools and get them into ...

DevOps Engineer

Chantilly, VA ยท On-site

$54 - $74/hr

DevOps Engineer Location: Chantilly VA We are looking for a DevOps Engineer with experience in building, delivering, and maintaining high-performing, scalable, enterprise-grade applications. You will ...

Sr. DevOps Engineer

Austin, TX ยท On-site

$50 - $55/hr

Role: Sr. DevOps Engineer Location: Austin, TX Duration: 12+ Months Contract 10+ years of ... Experience supporting AI and ML systems * Agent orchestration frameworks (e.g., AgentCore or ...

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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:
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 Engineer

DevOps Engineer

CUBRC Inc.

Buffalo, NY โ€ข On-site

$93K - $142K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


Job description

Position Overview:ย 

CUBRC is seeking an experienced DevOps engineer to join our team located in Buffalo, NY. As a DevOps engineer, you will be helping configure and maintain processes that automate software builds and releases for homeland security, defense, and intelligence applications. Qualified candidates are expected to have a working knowledge of modern DevOps platforms, tools, and processes including their application to both locally managed deployments and cloud computing platforms like AWS. Your duties will include software configuration, pipeline development, and software integration with a focus on the integration and delivery phases of software development.

Responsibilities:.ย 

ยท Collaborates with cross-functional teams and clients to define, design, deploy and test continuous integration and deployment workflows.ย 

ยท Participates in internal technical team and external customer team meetings to supply DevOps technical expertise and help shape end-software products.ย 

ยท Research, evaluate and implement new technology to optimize DevOps processes within the company.ย 

ยท Maintain records to document technical and functional developments and revisions, including base architecture and customization details and support in the writing of required technical volumes such as internal documentation and periodic reports supporting projects.ย 

ยท May survey internal developers to gain insight and valuable feedback for DevOps process improvements.ย 

ยท Stay plugged into emerging technologies and industry trendsย 

Job Requirements:ย 

  • Associates or Bachelor's degree in computer science or a related fieldย 
  • Minimum of 5 years of relevant experience developing and configuring modern DevOps processes.ย 
  • High level of experience with DevOps/DevSecOps including CI/CD, artifact management, automated security scanning, and code linting.ย 
  • Knowledge and experience using a version control system (VCS) such as git, i.e. managing branches, making and pushing commits, and participating in code reviews.ย 
  • Experience with containerization such as Docker / Podman and its orchestration through cloud-native technologies such Kubernetes, AKS/EKS, or OpenShift.ย 
  • Excellent written and verbal communication skills including the ability to summarize and present work to audiences of varying levels of expertise. This includes use of Microsoft Office 365 tools (Word, Excel, PPT, Teams, etc.) and select Atlassian tools (JIRA, Confluence).ย 

Preferred Qualifications:ย 

  • 7-10 years of relevant experience developing and configuring modern DevOps processes, with an emphasis on containerization.ย 
  • 5 years working in a Linux-based environment.ย 
  • Experience with comprehending or developing raw HTML5, Javascript, and CSS without the benefit of a framework.ย 
  • Experience with backend languages such as Java or Python, including with:ย 
  • Java build tools, such as Apache Maven or Gradleย 
  • Continuous Integration servers, such as Jenkins, Bamboo, etc.ย 
  • Experience with Java Spring Boot or Python flask applicationsย 

Special Requirements:ย 

Must be able to obtain and remain eligible for a US Department of Defense security clearance during the course of employment.ย 


Hybrid Work Position - Located in Buffalo, NY metro area.ย 

Some travel within the continental United States may be required.ย 

Why CUBRC:

  • 401(k) โ€“ No Waiting Period. 100% Vested on date of hire.ย 
  • 3% company contribution in the first year of employment, company contribution increases over time. Employee is not required to contribute to the plan to receive CUBRCโ€™s contribution.ย 
  • Health Insurance โ€“ No Waiting Period โ€“ competitive costs.ย 
  • Dental, Vision Insurance after 6 months โ€“ Employer paid benefit for employees and dependents.ย 
  • Life Insurance after 6 months โ€“ Employer paid benefit for the employee.ย 
  • Generous paid time off, unlimited sick time and 9 paid holidaysย 
  • Free beverages and stocked beverage refrigerators for employeesย 

We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.?ย 

Salary Descriptionย 

$93,581 to $142,643 annually.ย  Please note that final compensation will be determined based upon the applicant's relevant experience, skillset, location, business needs, market demands, and other factors as permitted by law.ย 

Company Description

CUBRC has a history of innovation. Since being founded in 1983, we have evolved and expanded by enhancing our aeronautics department to include the most advanced and unique hypervelocity research and test facilities in the World, have become an industry leader in the development of ML and AI enabled software tools supporting our defense, intelligence and homeland security communities and have expanded the capabilities of our chemical, biological and medical science research and test facilities. We turn great ideas into Advantages Through Technology and are fortifying the future by welcoming diverse talent, championing those eager to add value and productivity to our business.
Join an organization that brings a legacy of excellence to the most critical, challenging problems of today-and tomorrow. We offer careers where your ideas and skills are valued, and where your individual contributions are respected, recognized and rewarded