1

Ml Devops Engineer Jobs (NOW HIRING)

... DevOps engineer, you know how to create efficient and effective solutions so you can quickly ... AIOps, ML Ops, model ops, and data ops to develop tools and get them into the hands of those who ...

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

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 ...

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

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 ...

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 ...

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 ...

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 ...

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 ...

Lead DevOps Engineer

Manhattan, NY · On-site

$58 - $79.50/hr

Lead DevOps Engineer - Applied Intelligence Personalization Job ID: 44659 Location: New York, NY ... Preferred / Additional Qualifications - Experience deploying and operating ML models in production ...

DevOps Engineer

Dallas, TX · On-site

$52.25 - $71.50/hr

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 ...

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

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 ...

Senior DevOps Engineer

New York, NY · On-site

$160K - $200K/yr

Working closely with backend and ML engineers, you'll be the person who makes GitOps ... Mentor team members on DevOps best practices and guide infrastructure strategy What We're Looking ...

New

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 ...

AI DevOps Engineer

$54 - $74/hr

... ML models in production using model serving frameworks and MLOps tools. • Monitor application ... DevOps, Cloud Engineering, Platform Engineering, or Site Reliability Engineering (SRE). • ...

Senior DevOps Engineer

New York, NY · Remote

$160K - $200K/yr

Working closely with backend and ML engineers, you'll be the person who makes GitOps ... Mentor team members on DevOps best practices and guide infrastructure strategy What We're Looking ...

New

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 ...

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 Aug 9, 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
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 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $122,950 per year, or $59.1 per hour.

Full-time

Re-posted 25 days ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants


Job description

Job Summary:
Booz Allen Hamilton is a leading provider of AI services to the nation, seeking an AI/ML Engineer to enhance critical IT operations for integrated warfighting capabilities. The role involves developing tools and automating workflows to deliver reliable AI solutions that improve mission resilience and performance.
Responsibilities:
• Imagine using artificial intelligence (AI) to improve critical IT operations for integrated warfighting capabilities.
• As a DevOps engineer, you know how to create efficient and effective solutions so you can quickly deliver the best operational data.
• 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 the hands of those who need them most.
• On our team, you’ll streamline IT operations to enhance platform productivity to improve integrated warfighting capabilities including Agentic AI positioned as a critical enabler for next-gen autonomy and decision-support capabilities.
• Relate to AI enabled, policy controlled containerized application and data workload management and orchestration required for CDO-L and resilient capabilities.
• As an experienced engineer, you know that building reliable and scalable AI systems requires strong software engineering practices, automation, and seamless integration across complex, secure environments.
• Your ability to design and maintain robust AI/ML pipelines, automate workflows, and integrate AI capabilities into production systems makes you an essential part of delivering resilient, mission-focused solutions.
• We need your technical expertise and problem‑solving mindset to support the development and operationalization of AI capabilities that directly enhance mission resilience, performance, and decision‑making.
• In this role, you’ll guide the development of mission‑critical AI solutions by building reproducible pipelines, applying automation best practices, and introducing emerging tools that enhance performance and reliability.
• You’ll collaborate with others including AI Model Engineers, Data Engineers, Cloud Architects, and ISSEs to align AI and ML workflows with infrastructure and security requirements, ensuring seamless integration into production and mission systems.
• You’ll contribute to solutions that optimize resilience of warfighting capabilities including their data flows, operational workflow automation, workload environmental monitoring, workload management, and resilient mission execution across hybrid compute environments.
Qualifications:
Required:
• 5+ years of experience in the development of tools and processes to drive DevOps or DevSecOps maturity by automating builds, testing, monitoring, and pushing releases across environments
• 5+ years of experience with scripting languages such as Python or Linux Shell Script and configuration management tools
• 5+ years of experience automating infrastructure provisioning, in the creation, and improvement of continuous automation across multiple technical stacks
• 5+ years of experience with troubleshooting, triaging, and resolving issues with CI/CD pipeline failures or slowness, built using Kubernetes, Docker, or Jenkins
• 5+ years of experience with AI/ML capabilities applied to policy controlled, workload management and orchestration including Zero Trust Containerized applications and data
• 5+ years of experience with troubleshooting, triaging, and resolving issues related to both open source and commercial tools in public cloud environments
• Experience with artificial intelligence and machine learning frameworks for monitoring and optimization and containerization and container orchestration platforms and tools
• Experience adding testing and security scans to pipelines
• Secret clearance
• Bachelor's degree
Preferred:
• Experience with cloud platforms like AWS, Azure, or Google Cloud Platform
• Experience integrating AI systems architecture, AI platforms, or ML flow
• TS/SCI clearance
• ML, DevOps, or solution architecture certification
Company:
Booz Allen Hamilton is a consulting firm that specializes in analytics, technology, and engineering. Founded in 1914, the company is headquartered in Mclean, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Booz Allen Hamilton employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Booz Allen Hamilton logo

About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914