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Ml Devops Engineer Jobs (NOW HIRING)

Honorhealth

Senior AI/ML DevOps Engineer

$133K - $170K/yr

JOB SUMMARY The Senior AI / ML DevOps Engineer designs, develops, deploys, and supports scalable machine learning solutions that enable advanced analytics and AI capabilities across HonorHealth. This ...

Socket.dev

DevOps Engineer

Manhattan, NY · On-site

$58.25 - $79.75/hr

MLOps & ML Platform Infrastructure * Operate and scale ML platform infrastructure, including ... experience in DevOps, Cloud Engineering, Site Reliability Engineering (SRE), or a similar ...

High 5 Games

DevOps Engineer

New York, NY · On-site

$57.75 - $79/hr

You'll work hand-in-hand with data scientists, ML engineers, and other DevOps experts to automate workflows, enhance performance, and keep our AI systems running seamlessly for millions of players ...

High 5 Games

DevOps Engineer

Manhattan, NY · On-site

$58.25 - $79.75/hr

You'll work hand-in-hand with data scientists, ML engineers, and other DevOps experts to automate workflows, enhance performance, and keep our AI systems running seamlessly for millions of players ...

High 5 Games

DevOps Engineer

New York, NY · Remote

$54 - $74/hr

You'll work hand-in-hand with data scientists, ML engineers, and other DevOps experts to automate workflows, enhance performance, and keep our AI systems running seamlessly for millions of players ...

Artera Technologies

DevOps Engineers

Fort George G Meade, MD · On-site

$58.50 - $80.25/hr

... s Engineer must be detailed oriented, have strong organizational skills, and excellent ... AI/ML), DevOps support, systems engineering and more. We hire and retain top talent to deliver ...

Booz Allen Hamilton, Inc.

DevOps Engineer

Fort Belvoir, VA · On-site

$77K - $176K/yr

ML, DevOps, or solution architecture Certification Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified ...

Booz Allen Hamilton, Inc.

DevOps Engineer

Fort Belvoir, VA · On-site +1

$77K - $176K/yr

ML, DevOps, or solution architecture Certification Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified ...

Booz Allen Hamilton, Inc.

AI/ML Engineer

Hampton, VA · On-site

Norfolk, Virginia, USA AI/ML Engineer The Opportunity: Imagine using artificial intelligence (AI ... As a DevOps engineer, you know how to create efficient and effective solutions so you can quickly ...

Machine Intelligence Technologies, LLC

We are seeking a hands-on AIML DevOps Engineer to join our client's growing AI/ML engineering team in Scottsdale, AZ. The ideal candidate will have strong experience in cloud-based MLOps,automation ...

1 point system

DevOps Engineer

Bentonville, AR · On-site

$46.25 - $63.25/hr

Experience supporting ML/AI workloads (model serving infrastructure, GPU provisioning) * GCP Professional DevOps Engineer or Cloud Architect certification * Familiarity with ArgoCD, Helm, or GitOps ...

Impyrian

DEVOPS ENGINEER

Ashburn, VA · On-site

$54 - $74/hr

The Senior DevOps / MLOps Engineer to design, implement, and operate secure, scalable, and highly ... Collaborate closely with AI/ML engineers, data scientists, software engineers, and security teams ...

IMPYRIAN

DEVOPS ENGINEER

Ashburn, VA · On-site

$130K - $180K/yr

The Senior DevOps / MLOps Engineer to design, implement, and operate secure, scalable, and highly ... Collaborate closely with AI/ML engineers, data scientists, software engineers, and security teams ...

doctronic GmbH

DevOps Engineer

New York, NY · On-site

$180K - $240K/yr

DevOps Engineer Where Medicine Meets Intelligence Doctronic is the first AI legally authorized to ... AI/ML & LLM Infrastructure * Deploy, maintain, and optimize infrastructure for AI/ML services and ...

Cuboid IT Solutions

DevOps Engineer

Washington, DC · On-site

$59.75 - $81.75/hr

Title: DevOps Engineer Location: Washington, DC: 100% Onsite (Only Locals) Duration: 12 + Months ... Previous experience working in AI/ML projects * Previous development experience in Go/Python

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 ...

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ML Devops Engineer information

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How much do ml devops engineer jobs pay per hour?

As of Sep 14, 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.

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.

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 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 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.

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, automation, and containerization tools like Docker and Kubernetes are highly valued in this role, which supports the deployment, monitoring, and scaling of ML systems.

Is ML DevOps Engineer still in demand in 2026?

ML DevOps Engineers are expected to remain in high demand in 2026 due to the growing adoption of machine learning and AI across industries. Skills in cloud platforms, automation, and containerization tools like Kubernetes and Docker will continue to be valuable for managing ML pipelines and deployments.
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ML Devops Engineer jobs near you
Infographic showing various Ml Devops Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 89% Full Time, 7% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $122,950 per year, or $59.1 per hour.

Senior AI/ML DevOps Engineer

Remote

Honorhealth
Health Care and Social Assistance • 10K+ employees
Learn more about Honorhealthexternal

$133K - $170K/yr

Full-time

Posted 18 days ago

HonorHealth rating

7.7

Company rating: 7.7 out of 10

Based on 212 frontline employees who took The Breakroom Quiz

Job description

Primary City/State:

Virtual Arizona

Category:

Data Intelligence

Shift:

Day

Department:

Augmented Intelligence
Hours: Monday-Friday Days

Location: Remote -- Must be located in Arizona -- Occasional on site as needed.

Great care starts with great people. (Like you.)

At HonorHealth, you'll find something special. From humble beginnings in 1927 to one of Arizona's largest nonprofit healthcare systems, our culture is built on warmth and neighborly kindness. Behind every smile is a highly skilled professional with deep expertise and an unwavering dedication to what matters most - caring for the health and well-being of people and communities across the greater Phoenix area.

Responsibilities:

JOB SUMMARY

The Senior AI / ML DevOps Engineer designs, develops, deploys, and supports scalable machine learning solutions that enable advanced analytics and AI capabilities across HonorHealth. This role operationalizes models and pipelines, monitors performance, and partners with data, engineering, and stakeholders to deliver reliable solutions aligned to governance and data handling expectations. The role partners closely with data engineers, data scientists, platform teams, and business stakeholders to translate complex needs into production-ready deployments, monitor ongoing performance, and continuously improve AI/ML capabilities aligned to governance and operational standards.

ESSENTIAL FUNCTIONS
  • Leads the design and implementation of the environment that deploys scalable AI/ML solutions, including predictive models, large language model use cases, and agentic workflows that support clinical, operational, and business objectives.
  • Develops and maintains end-to-end machine learning and RAG pipelines supporting data ingestion, application feature engineering, training, evaluation, deployment, and lifecycle management.
  • Architects and supports production-grade DevOps practices, including CI/CD, model versioning, automated testing, monitoring, alerting, retraining, and rollback strategies.
  • Deploys and manages AI/ML applications in cloud environments, ensuring solutions are secure, reliable, performant, and operationally supportable.
  • Implements observability and performance evaluation practices to manage compute resource utilization, performance, and cost efficiency. Works with AI development team to a continuous improvement feedback loop.
  • Ensures AI/ML and agentic solutions comply with data governance, privacy, security, and responsible AI expectations, including HIPAA-aligned practices where applicable.
  • Creates and maintains technical documentation for architectures, models, workflows, operational procedures, assumptions, limitations, and support processes.
  • Troubleshoots complex pipeline, infrastructure, model, and integration issues; implements fixes and drives continuous improvement in operational stability and delivery efficiency.
  • Core Skills:Hands-on experience with cloud-native AI/ML services and infrastructure, preferably in Google Cloud Platform (GCP), including services for training, inference, orchestration, and scalable compute
  • Proficiency info MLOps, DevOps, and software engineering practices such as CI/CD, Git-based workflows, containerization, Infrastructure as Code, and automated testing
  • Proficiency with establishing connections via API calls and MCP servers.
  • Strong SQL and data engineering skills with experience in large-scale data processing, backend engineering, and integration across enterprise data platforms
  • Experience with API development and systems integration to embed AI/ML capabilities into enterprise applications and workflows
  • Strong analytical and problem-solving skills with the ability to diagnose issues across data, models, infrastructure, and orchestration layers
  • Excellent communication and collaboration skills with the ability to document and explain technical concepts clearly to both technical and non-technical stakeholders
  • Performs other duties as assigned.

EDUCATION
  • Bachelors Computer Science, Data Science, Engineering, Artificial Intelligence, Machine Learning, Mathematics, Statistics, or a related quantitative field; or 4 years' relevant experience Required

EXPERIENCE
  • 7 years, of progressive experience in DevOps within a Cloud deployment in, AI/ML Ops, data engineering, or related software engineering roles, including at least 3 years deploying and operating AI/ML production workloads. Required

LICENSE AND CERTIFICATIONS

We're all in for your career.

What HonorHealth employees say

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About HonorHealth

Sourced by ZipRecruiter

HonorHealth is a non-profit, local community healthcare system serving an area of 1.6 million people in the greater Phoenix area. The network encompasses six acute-care hospitals, an extensive medical group, outpatient surgery centers, a cancer care network, clinical research, medical education, a foundation, and community services with approximately 13,100 team members, 3,500 affiliated providers and nearly 700 volunteers. HonorHealth was formed by a merger between Scottsdale Healthcare and John C. Lincoln Health Network. HonorHealth's mission is to improve the health and well-being of those we serve.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Scottsdale, AZ, US

Year founded

2014

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