ZipRecruiter

Log In

1

Ml Devops Engineer Jobs (NOW HIRING)

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 ...

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 ...

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 ...

Stanford Health Care

DevOps Engineer

Newark, NJ · Remote

$79.21 - $104.97/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 ...

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 ...

Lancesoft

DevOps Engineer 4

Atlanta, GA · On-site

$70 - $77.14/hr

Job Title: DevOps Engineer 4 Location: Atlanta GA 30308 Duration: 7/27/2026 -1/4/2027 Pay Rate: $77 ... Support AI/ML/LLM platform infrastructure, including agent-based AI solutions where applicable.

Anveta Inc

Senior DevOps Engineer (AI Platform)

Fort Mill, SC · On-site

$114K - $146K/yr

Senior DevOps Engineer (AI Platform) Location: Fort Mill, SC (Hybrid - 3 Days Onsite) Job Type ... The ideal candidate will also have exposure to AI/ML infrastructure and experience supporting ...

Synergy ECP

Senior DevOps Engineer

Columbia, MD · On-site

$126K - $162K/yr

They are seeking a highly experienced Senior DevOps Engineer to focus on deploying infrastructure ... 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 ...

New York Life

$90K - $128K/yr

Experience supporting AI/ML operational workloads, including deployment of machine learning models and familiarity with Generative AI, LLMs, and AI-assisted DevOps tools such as Harness AI.

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 ...

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

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 ...

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 ...

Raft

Senior DevOps Engineer

Honolulu, HI · On-site

$128K - $165K/yr

S. military and government agencies with cutting-edge AI/ML and data solutions. We are a leader in ... As a Senior DevOps Engineer, you will own the secure delivery patterns behind [R]DP, [R]AP, [R]AIMS ...

next page

Showing results 1-20

All JobsMl Devops Engineer Jobs

Ml Devops Engineer information

See salary details

$19

$59

$90

How much do ml devops engineer jobs pay per hour?

As of Jul 20, 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 July 2026, with employment types broken down into 92% Full Time, 1% Part Time, and 7% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution, with an average salary of $122,950 per year, or $59.1 per hour.