1

Ml Devops Engineer Jobs (NOW HIRING)

Staff DevOps Engineer

$128K - $157K/yr

Support platform integration for AI/ML workloads, container orchestration, and environment ... Mentors peers on DevOps best practices and contributes to team-wide standards * Collaborate closely ...

New

DevOps Engineer

Dallas, TX ยท On-site

$48.75 - $66.75/hr

Position Title * DevOps Engineer ACSXAG85 Position Responsibilities DevOps Engineer Plano TX (Hybrid role) Visa Open (W2 Candidates) Must have skill: Ansible, DevOps Specialist, DevOps Qualifications:

Azure DevOps Engineer

Austin, TX

$52.25 - $71.50/hr

We leverage AI/ML tools across all major cloud providers (Azure AI, AWS SageMaker/Bedrock, GCP Vertex AI, OCI AI Services). 8 Required DevOps: Ansible, CI/CD, Docker and Kubernetes experience. 8 ...

New

DevOps Engineer

$54 - $74/hr

The DevOps Engineer plays a key role in building and maintaining our secure and scalable cloud ... Collaborate with the AI Team to support ML workload infrastructure, including model deployment ...

DevOps Engineer

Seattle, WA

$60 - $82.25/hr

Job Advertisement - DevOps Engineer Company Overview: We are a fastgrowing technology company focused on delivering reliable, scalable, and secure cloudnative applications to enterprise clients. Our ...

DevOps Engineer

Washington, DC ยท On-site

$59.50 - $81.50/hr

Job Advertisement - DevOps Engineer Company Overview: We are a fast-growing technology company focused on delivering reliable, scalable, and secure cloud-native applications to enterprise clients.

DevOps Engineer

Chicago, IL ยท On-site

$54.50 - $74.50/hr

Job Advertisement -DevOps Engineer Company Overview: We are a fast-growing technology company focused on delivering reliable, scalable, and secure cloud-native applications to enterprise clients. Our ...

DevOps Engineer

Denver, CO

$53.25 - $73/hr

Job Advertisement - DevOps Engineer Company Overview: We are a fastgrowing technology company focused on delivering reliable, scalable, and secure cloudnative applications to enterprise clients. Our ...

Devops Engineer

Charlotte, NC ยท On-site

$51.50 - $70.50/hr

Position Title * Senior Devops Engineer Position Responsibilities Senior Devops Engineer Locations: Charlotte, NC (Hybrid), (3 days onsite/2 wfh) Duration: 12+ Months Contract Look for nearby ...

DevOps Engineer

Denver, CO ยท On-site

$53.25 - $73/hr

Job Advertisement - DevOps Engineer Company Overview: We are a fast-growing technology company focused on delivering reliable, scalable, and secure cloud-native applications to enterprise clients.

DevOps Engineer

Manhattan, NY ยท On-site

$57.75 - $79.25/hr

Job Advertisement - DevOps Engineer Company Overview: We are a fast-growing technology company focused on delivering reliable, scalable, and secure cloud-native applications to enterprise clients.

DevOps Engineer

$54 - $74/hr

Middle DevOps Engineer DevOps- . production-, CI/CD- , . , , . , . ': * , ; * Infrastructure asCode (IaC); * , CI/CD- ; * : , , ; * , ; * , ; * . : * DevOps Engineer ( ) 2; * AWS, DigitalOcean ...

DevOps Engineer

Chicago, IL

$54.50 - $74.50/hr

Job Advertisement -DevOps Engineer Company Overview: We are a fastgrowing technology company focused on delivering reliable, scalable, and secure cloudnative applications to enterprise clients. Our ...

DevOps Engineer

Seattle, WA ยท On-site

$60 - $82.25/hr

Job Advertisement - DevOps Engineer Company Overview: We are a fast-growing technology company focused on delivering reliable, scalable, and secure cloud-native applications to enterprise clients.

DevOps Engineer

Dallas, TX ยท On-site

$52.25 - $71.50/hr

Job Advertisement - DevOps Engineer Company Overview: We are a fast-growing technology company focused on delivering reliable, scalable, and secure cloud-native applications to enterprise clients.

DevOps Engineer

Biloxi, MS ยท On-site

$47 - $64.25/hr

Overview DevOps Engineer Location: Hurlburt Field, FL, JBSA, TX, and Keesler AFB, MS Job Status: Full time Clearance: Secret Astrion has an exciting opportunity coming up for a DevOps Engineer to ...

Senior DevOps Engineer

Seattle, WA ยท Hybrid

$130K - $180K/yr

Automate and optimize ML Ops workflows for machine learning deployment and validation. * Improve ... Ensure DevOps systems and practices meet SOC 2 requirements, including access controls, audit ...

next page

Showing results 1-20

Ml Devops Engineer information

See salary details

$19

$59

$90

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, AWS Expert!

DevOps Engineer, AWS Expert!

The ICE Group

San Mateo, CA โ€ข On-site

Full-time

Posted 24 days ago


Job description

Company Description

ICE Group Client is a very well funded Life Sciences startup that is the leader in combining Big Data Analytics with IoT and massive Video Data Ingestion ย (CV & ML) . Their mission is to save lives through revolutionizing drug discovery and approval pipelines.

Job Description

DevOps Engineer (AWS Expert!)

Comp $150k to $180, DOE

ICE Client has scaled fast with this DevOps role becoming a critical addition to our engineering team.

Your mission will be to take control of our already sizable AWS infrastructure using your AWS and Python Automation DevOps talents to both optimize what we have and prepare us for massive growth.

Additionally, you will have the unique opportunity to help us connect our cloud infrastructure to the world of advanced electronics: where the cloud meets IoT.

Finally, in the spirit of DevOps you will be embedded with talented developers to streamline our entire engineering cycle. Plus we will let you play with all the latest toys, we are big on Docker and Ansible to name a just a few.

What You'll Do:

  • Manage (Hands On!) our expansion on AWS and be the go to person for scalability and availability concerns
  • Lead our systems management and optimization efforts, working across groups to keep us sharp
  • Work closely with experts in data science, CV/ML, and software to simply get stuff done
Qualifications

Your Essential Talents:

  • Expert working with AWS, managing tens to hundreds of servers on AWS
  • Advanced knowledge of automation frameworks such as Puppet, Chef, Ansible, or Salt
  • Solid Python, Puppet, and/or BASH scripting for automation
  • Background in relational database technologies (Postgres is preferred)
  • Understanding of network fundamentals (DHCP, DNS, ARP, BGP, TCP/IP, HTTP, etc.)
  • Experience with container technologies such as Docker or LXC (Docker Preferred)

Plusses:

  • Experience with Cassandra or another NoSQL database
  • Hands on experience with Marathon, Mesos, Chronos
  • Experience with Debian
  • Experience with CircleCI or Travis
  • Familiarity with Raspberry Pi
Additional Information

All your information will be kept confidential according to EEO guidelines.