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Ml Devops Engineer Jobs (NOW HIRING)

Lorvenk Technologies LLC

Azure Devops Engineer

Mashpee, MA · On-site

$54.25 - $74.25/hr

Azure Devops Engineer Client: UniFirst Location: Wilmington, MA Locals Experience : 11+ Hybrid: 3 ... Knowledge of AI/ML workflows, model deployment, or MLOps concepts (preferred but not required)

New

Venus Consultancy

DevOps Engineer

Cambridge, MA · On-site

$57.75 - $79/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Accenture Federal Services

DevOps Engineer

Washington, DC · On-site

$59.75 - $81.75/hr

As a DevOps Engineer , you will collaborate with cloud infrastructure and DevSecOps teams to deploy ... Experience deploying and managing ML/AI platforms or LLM-based applications. * Multi-cloud ...

Copart, Inc.

Senior DevOps Engineer

Dallas, TX · On-site

$128K - $165K/yr

Position Overview We are seeking a highly skilled Mid-Level to Senior DevOps Engineer with hands-on ... Deploy, manage, and optimize AI/ML workloads in production environments. * Support LLM-based ...

FICO

Lead ML Ops/DevOps Engineer - AI Engineering

$140K - $220K/yr

Partner with DevOps and SRE teams to ensure high availability, observability, scalability, and security of the data and ML infrastructure. * Work closely with Data Scientists and ML Engineers to ...

Absolute Business Solutions Corp.

DevOps Engineer

Bethesda, MD · On-site

$170 - $225K/hr

  • Medical

  • Retirement

  • PTO

... learning (ML) and cross-domain transfer systems to provide cutting edge data exploitation ... As a DevOps Engineer you will contribute to the design, deployment, and maintenance of a full stack ...

Absolute Business Solutions Corp

DevOps Engineer

Bethesda, MD · On-site +1

$170 - $225K/hr

  • Medical

  • Retirement

  • PTO

... learning (ML) and cross-domain transfer systems to provide cutting edge data exploitation ... As a DevOps Engineer you will contribute to the design, deployment, and maintenance of a full stack ...

Johnson Controls

Ai/ML Engineer

Dallas, TX · On-site

$85K - $107K/yr

Build and manage end-to-end ML/LLM pipelines on Azure ML using Azure DevOps for CI/CD, testing, and release automation. * Operationalize LLMs and generative AI solutions (e.g., GPT, LLaMA, Claude ...

Booz Allen Hamilton

DevOps Engineer

Arlington, VA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

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 ...

Booz Allen Hamilton, Inc.

DevOps Engineer

Arlington, VA · On-site +1

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

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 ...

Booz Allen Hamilton

DevOps Engineer

Arlington, VA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

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 ...

Allegis Group

DevOps Engineer

Hanover, MD · On-site

$52 - $71.25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The DevOps Engineer is a technical operational engineering role responsible for improving DevOps, Release Management, Test Automation, and platform operations through intelligent automation ...

Allegis Group

DevOps Engineer

Hanover, MD · On-site

$52 - $71.25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The DevOps Engineer is a technical operational engineering role responsible for improving DevOps, Release Management, Test Automation, and platform operations through intelligent automation ...

Allegis Group

DevOps Engineer

Hanover, MD · On-site

$52 - $71.25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The DevOps Engineer is a technical operational engineering role responsible for improving DevOps, Release Management, Test Automation, and platform operations through intelligent automation ...

Johnson Controls

Ai/ML Engineer

Dallas, TX · On-site

$85K - $107K/yr

Build and manage end-to-end ML/LLM pipelines on Azure ML using Azure DevOps for CI/CD, testing, and release automation. * Operationalize LLMs and generative AI solutions (e.g., GPT, LLaMA, Claude ...

Anthem Engineering

DevOps Engineer

Chantilly, VA · 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 ...

Anthem Engineering

DevOps Engineer

Chantilly, VA · 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 ...

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Showing results 41-60

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 Aug 13, 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.

Are ML Devops engineers still in demand?

ML DevOps engineers are in high demand due to the increasing adoption of machine learning models in production environments. Skills in cloud platforms, containerization, automation, and monitoring are highly valued as organizations seek to deploy scalable and reliable AI solutions.

What is an ML DevOps engineer?

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 August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $122,950 per year, or $59.1 per hour.

Azure Devops Engineer

Lorvenk Technologies LLC

Mashpee, MA • On-site

$54.25 - $74.25/hr

Other

Posted 2 days ago

New

Job description

Hi Ram,

Role: Azure Devops Engineer

Client: UniFirst
Location: Wilmington, MA Locals

Experience : 11+

Hybrid: 3 days/week onsite

F2F Interview is required

Need Strong Candidate

We are seeking an experienced DevOps Engineer (Azure Platform) to join our Cloud and Platform Engineering organization. In this role, you will build, automate, and support Azure cloud environments that power complex enterprise applications and emerging AI workloads. You will enable development teams with a reliable, secure, and scalable cloud platform through strong DevOps, infrastructure-as-code, and CI/CD engineering.
Job Details

  • Build, deploy, and manage Azure resources using Infrastructure-as-Code (Terraform, Bicep, ARM).
  • Implement reusable modules and environment patterns to support application teams.
  • Support platform services including compute, networking, storage, identity, and governance controls.
  • Deploy and maintain Azure Kubernetes Service (AKS), container registries, and container-based workloads.
  • Develop and maintain CI/CD pipelines using Azure DevOps and GitHub.
  • Automate build, test, release, and deployment workflows for cloud-native and AI applications.
  • Integrate automated quality gates, security scanning, and artifact management.
  • Use Chef (or similar configuration management tools) to automate provisioning, configuration, and compliance.
  • Implement monitoring, logging, metrics, and tracing using Azure Monitor, Log Analytics, and App Insights.
  • Build dashboards and alerts to proactively manage performance, reliability, and availability.
  • Participate in on-call responsibilities to support critical services and resolve platform-impacting issues.
  • Work closely with cloud architects, platform engineers, security teams, and application developers.
  • Ensure DevOps best practices are adopted across projects and platforms.
  • Contribute to the continuous improvement of cloud platform automation, standards, and delivery workflows.


Experience

  • 5+ years of experience in DevOps, Cloud Engineering, or Platform Engineering.
  • Strong hands-on expertise with Azure Cloudservices and architecture concepts.
  • Proficiency with IaC tools: Terraformand Bicep (ARM optional).
  • Advanced experience building CI/CD pipelines in Azure DevOpsand GitHub.
  • Experience supporting and deploying to AKSand containerized environments.
  • Knowledge of AI/ML workflows, model deployment, or MLOps concepts (preferred but not required).
  • Experience with Chef, Ansible, or similar configuration management tooling.
  • Strong scripting skills with PowerShell, Bash, or Python.
  • Solid understanding of cloud networking, security, identity, and governance
  • Excellent troubleshooting skills for complex distributed systems.


Education

  • Bachelor s degree in computer science, Information Technology, or related field preferred.


Additional Requirements

  • Experience with Azure landing zone patterns or enterprise cloud foundations.
  • Familiarity with GitOps practices (Helm, ArgoCD) is a plus.
  • Certifications such as Azure Administrator, DevOps Engineer Expert, or Solutions Architect.
  • Experience supporting multi-team cloud environments or platform-as-a-service enablement.
  • Experience with MS Fabric, PowerBI

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