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Ml Devops Engineer Jobs (NOW HIRING)

The AES Group

Senior DevOps Engineer

Seattle, WA · Remote

$133K - $170K/yr

Senior DevOps Engineer Location: Remote - USA The AES Group is hiring an experienced Senior DevOps ... Work on cutting-edge cloud transformation and AI/ML infrastructure projects * Opportunity to ...

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

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 ...

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 ...

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

$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

$129K - $166K/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 ...

U.S. Financial Technology

DevOps Engineer

$54 - $74/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 ...

New

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 ...

Qualcomm

DevOps Engineer

Austin, TX · On-site

$52.25 - $71.50/hr

Qualcomm Technologies, Inc. is seeking an experienced DevOps Engineer to help deliver the future of ... The role involves managing cross-site infrastructure and tools to support Qualcomm's ML teams ...

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 ...

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 ...

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 ...

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.

Prometheus Group

DevOps Engineer

Raleigh, NC · 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 ...

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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 29, 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:
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.

Senior DevOps Engineer

The AES Group

Seattle, WA • Remote

$133K - $170K/yr

Contractor

Posted 23 hours ago

Job description

Job Title: Senior DevOps Engineer
Location: Remote - USA

The AES Group is hiring an experienced Senior DevOps Engineer to join our growing technology team and drive enterprise-scale cloud infrastructure modernization initiatives. This is an exciting opportunity for a highly skilled DevOps professional with expertise in Terraform, Kubernetes, Python automation, and Azure cloud technologies, including Azure Databricks, to build scalable, secure, and reliable infrastructure supporting advanced AI/ML platforms.

Why Join The AES Group?

  • Work on cutting-edge cloud transformation and AI/ML infrastructure projects
  • Opportunity to contribute to GenAI and Azure Cognitive Services environments
  • Collaborate with high-performing engineering teams on enterprise-scale initiatives
  • Hybrid work flexibility based in Seattle, WA
  • Long-term project engagement with strong career growth potential

Key Responsibilities:

  • Design, deploy, and manage scalable, secure, and reliable infrastructure solutions using Terraform.
  • Lead migration efforts from ARM templates and PowerShell-based provisioning to Terraform-based Infrastructure as Code (IaC).
  • Develop and maintain reusable IaC modules to enable version-controlled, repeatable deployments.
  • Implement, manage, and optimize Kubernetes clusters supporting containerized microservices environments.
  • Partner with development teams to deploy, scale, and troubleshoot applications in Kubernetes ecosystems.
  • Automate provisioning, deployment, and operational workflows using Python scripting.
  • Build and maintain CI/CD pipelines to streamline software delivery and release cycles.
  • Integrate infrastructure provisioning seamlessly into CI/CD workflows.
  • Design and maintain scalable infrastructure environments for AI/ML and GenAI platforms.
  • Deploy and manage Docker containerized applications orchestrated through Kubernetes.
  • Support Azure cloud-native services, including Azure Databricks, for data engineering and AI/ML workload orchestration.
  • Enable secure and efficient integration of AI/ML models into enterprise production platforms.
  • Establish monitoring, logging, and alerting systems to maintain infrastructure health and performance.
  • Implement security best practices to ensure compliance, governance, and data privacy standards.

Required Skills & Qualifications:

  • 10+ years of experience in DevOps, Infrastructure Engineering, or Cloud Platform Engineering.
  • Strong hands-on expertise with Terraform, including migration from ARM/PowerShell to Terraform.
  • Deep experience managing Kubernetes clusters and deploying containerized microservices.
  • Strong proficiency in Python scripting for automation and workflow optimization.
  • Solid experience with Docker and container orchestration technologies.
  • Hands-on experience designing and maintaining CI/CD pipelines.
  • Strong understanding of Infrastructure as Code (IaC) principles and best practices.
  • Proven experience with Microsoft Azure cloud platform services.
  • Required hands-on experience with Azure Databricks for cloud data processing and AI/ML platform integration.
  • Experience designing and supporting scalable infrastructure for AI/ML environments.
  • Knowledge of Azure Cognitive Services and GenAI project deployments is highly preferred.
  • Strong understanding of cloud security, compliance, and monitoring frameworks.
  • Excellent communication and collaboration skills in cross-functional engineering teams.

Preferred Qualifications:

  • Experience working as a platform engineer in AI/ML-driven environments.
  • Exposure to deployment automation for Azure Cognitive Services and GenAI workloads.
  • Prior involvement in enterprise cloud modernization initiatives.

Ready to make an impact? Apply now and join us on our journey!