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Ml Devops Engineer Jobs (NOW HIRING)

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 ...

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.

Vumedi Inc.

DevOps Engineer

Oak, NE

$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 ...

VuMedi Inc.

DevOps Engineer

Oakland, CA · On-site

$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 ...

Ajace Inc

DevOps Engineer

Bethesda, MD · On-site

$56.50 - $77.50/hr

We are seeking a highly skilled Senior DevOps / Cloud Engineer to support and enhance our existing ... ML platforms and supporting infrastructure in cloud environments. · Automate provisioning ...

U.S. Financial Technology

DevOps Engineer

$52.75 - $72.25/hr

Evaluate and implement emerging technologies including AI/ML tools where they add operational value ... Experience building internal developer tools and platforms Professional Qualities: * Hands-On ...

Raft Company Website

DevOps Engineer

Aberdeen, MD · On-site

$56.75 - $77.75/hr

S. military and government agencies with cutting-edge AI/ML and data solutions. We are a leader in ... As an DevOps Engineer, you will help secure, deploy, and operate the platforms behind [R]DP, [R]AP ...

Raft Company Website

DevOps Engineer

Aberdeen, MD

$56.75 - $77.75/hr

S. military and government agencies with cutting-edge AI/ML and data solutions. We are a leader in ... As an DevOps Engineer, you will help secure, deploy, and operate the platforms behind [R]DP, [R]AP ...

Raft Company Website

DevOps Engineer

Aberdeen, MD · On-site

$56.75 - $77.75/hr

S. military and government agencies with cutting-edge AI/ML and data solutions. We are a leader in ... As an DevOps Engineer, you will help secure, deploy, and operate the platforms behind [R]DP, [R]AP ...

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 ...

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 ...

Atkore

AI DevOps Engineer

Mokena, IL · On-site

$52 - $71/hr

The AI DevOps Engineer will be a member of the Enterprise Architecture, Data Services and ... Azure ML Studio, Mflow, etc) * Strong understanding of enterprise security principles, identity ...

CUBRC Inc.

DevOps Engineer

Buffalo, NY · 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 ...

Atkore Management, LLC

AI DevOps Engineer

Mokena, IL

$52 - $71/hr

AI DevOps Engineer You must be authorized to work in the U.S. without any current or future ... Azure ML Studio, Mflow, etc) * Strong understanding of enterprise security principles, identity ...

CYNET SYSTEMS

Devops Engineer

Charlotte, NC · On-site

$60/hr

Strong knowledge of DevOps automation platforms, AI/ML concepts, orchestration frameworks. Nice to Have: * Experience in Windows, Linux/Unix systems used for application hosting and CI/CD tools.

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All JobsMl Devops Engineer Jobs

ML Devops Engineer information

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$59

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How much do ml devops engineer jobs pay per hour?

As of Jul 3, 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.

Cloud DevOps Engineer

SysMind Tech

Richardson, TX • On-site

$47.50 - $65/hr

Contractor

Posted 5 hours ago

Job description

Job Title: Cloud DevOps Engineer
Location: Scottsdale, AZ/Richardson, TX - Onsite
Duration: Contract
Job Description:
We are seeking a highly skilled Cloud DevOps Engineer with strong expertise in Google Cloud Platform (GCP), Kubernetes, and Infrastructure as Code (IaC). The ideal candidate will support cloud-native deployments, automation initiatives, monitoring solutions, and production incident management.
Required Qualifications
Strong experience with:
Kubernetes
Google Cloud Platform (GCP)
Strong experience with Infrastructure as Code (IaC) and related tools, including:
Terraform
GitHub Actions
Helm
Experience with programming and automation technologies, including:
Python
Ansible
Node.js
Strong experience with monitoring and observability tools, including:
Prometheus
Grafana
Experience working in Linux environments.
Ability to perform on-call support and effectively triage production incidents.
Preferred Qualifications
Google Cloud Architect Certification
Certified Kubernetes Administrator (CKA)
Experience with Java/J2EE and Spring Boot.
AI/ML experience is preferred.

Apply