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Ml Infrastructure Engineer Jobs in Virginia (NOW HIRING)

Quevera LLC

AI/ML Engineer

Herndon, VA · On-site

Quevera is seeking an AI/ML Engineer to support mission-critical programs in Herndon and ... The successful candidate will design and maintain scalable cloud infrastructure, develop and ...

The Swift Group, LLC

Network Engineer

Chantilly, VA · On-site

... Infrastructure (CAI) solutions, including data center fabric, AI/ML networking, and high ... Mentor junior engineers and contribute to organizational standards, engineering playbooks, and best ...

Halvik

AI/ML Subject Matter Expert

Vienna, VA · On-site

$195K - $210K/yr

Make informed ML infrastructure decisions based on modeling techniques and issues * Write and test ... Experience using Generative AI tools to help in software programming and testing (e.g. VS-Code or ...

BTree Solutions, Inc.

AI/ML ENGINEER

Reston, VA · On-site

AI/ML ENGINEER Location: Reston,VA Duration: 12+ Months Visa: USC, GC, H1B and EAD Contract Type ... infrastructure. You will collaborate closely with business stakeholders to design, build, and ...

Halvik-

AI/ML Subject Matter Expert

Vienna, VA · On-site

$100 - $130/hr

Make informed ML infrastructure decisions based on modeling techniques and issues * Write and test ... Experience using Generative AI tools to help in software programming and testing (e.g. VS-Code or ...

Interon IT Solutions

AI/ML Engineer

Reston, VA · On-site

AI/ML Engineer (Python, AWS, GenAI) Location: Reston, VA (In-person interviews required) Candidate ... Implement CI/CD pipelines (GitHub/GitLab/CodePipeline) and Infrastructure-as-Code using Terraform ...

Booz Allen Hamilton

AI/ML Engineer

Norfolk, VA · On-site

... with infrastructure and security requirements, ensuring seamless integration into production and mission systems. • You'll contribute to solutions that optimize resilience of warfighting ...

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Inform your ML infrastructure decisions using your understanding of ML modeling techniques and ... Use programming languages like Python, Go, Scala, or Java Basic Qualifications: * Bachelor's Degree

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site

$103K - $136K/yr

Inform your ML infrastructure decisions using your understanding of ML modeling techniques and ... Use programming languages like Python, Scala, or Java Basic Qualifications: * Bachelor's Degree

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site

$103K - $136K/yr

Inform your ML infrastructure decisions using your understanding of ML modeling techniques and ... Use programming languages like Python, Scala, or Java Basic Qualifications: * Bachelor's Degree

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All JobsMl Infrastructure Engineer JobsMl Infrastructure Engineer Jobs in Virginia

Ml Infrastructure Engineer information

See Virginia salary details

$46.1K

$126K

$180.4K

How much do ml infrastructure engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for ml infrastructure engineer in Virginia is $125,976.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,600.00 and $139,800.00 per year, depending on experience, location, and employer.

What is the difference between Ml Infrastructure Engineer vs Data Engineer?

AspectML Infrastructure EngineerData Engineer
Required CredentialsBachelor's/Master's in CS, experience with cloud platforms, scripting, and ML toolsBachelor's/Master's in CS, experience with databases, ETL, and data pipelines
Work EnvironmentFocus on deploying and maintaining ML systems, cloud infrastructure, and automationDesigning and building data pipelines, managing large datasets, and data storage
Employer & Industry UsageTech companies, AI startups, research labsFinance, healthcare, e-commerce, and data-driven industries

The ML Infrastructure Engineer specializes in building and maintaining the infrastructure that supports machine learning models, focusing on deployment, scalability, and automation. In contrast, Data Engineers primarily develop data pipelines and manage large datasets to enable data analysis and business intelligence. Both roles require strong technical skills and often overlap, but their core focus areas differ significantly.

What are popular job titles related to Ml Infrastructure Engineer jobs in Virginia? For Ml Infrastructure Engineer jobs in Virginia, the most frequently searched job titles are:
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What cities in Virginia are hiring for Ml Infrastructure Engineer jobs? Cities in Virginia with the most Ml Infrastructure Engineer job openings:
Ml Infrastructure Engineer jobs near you
Infographic showing various Ml Infrastructure Engineer job openings in Virginia as of August 2026, with employment types broken down into 86% Full Time, 9% Part Time, and 5% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $125,976 per year, or $60.6 per hour.

AI/ML Engineer

Accenture Federal Services

Arlington, VA • On-site

Full-time

Posted 19 days ago

Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

44th of 485 rated business services

Job description

The AI/ML Engineer will design, build, and maintain AI/ML lifecycle core services and products. Create utilities and ensure seamless function of orchestration capabilities to support the AI/ML environment.  Develop and implement infrastructure for training, validating, and deploying machine learning models, create reusable components and libraries to accelerate AI/ML development, and build model serving platforms for efficient inference. Implement automated machine learning pipelines, design systems for model monitoring and performance tracking, and develop tools for model explainability and interpretability. Optimize AI/ML algorithms for performance and scalability, implement MLOps practices for continuous integration and deployment of models, and collaborate with data engineers to ensure data pipelines support AI/ML requirements. Stay current with advances in AI/ML technologies, document AI/ML systems and processes, and provide technical guidance to data scientists implementing models. Troubleshoot complex issues in AI/ML systems, implement version control for models and datasets, and develop testing frameworks for AI/ML components.

Must have:

  • Experience developing, deploying, and supporting AI/ML models in enterprise environments
  • Bachelor's degree (or an additional 4 years of experience) in IT, Cybersecurity, Computer Science, Information Systems, Data Science, Software Engineering, or related field

Security Clearance:

  • Active Secret, Top Secret, TS/SCI, or TS/SCI with Polygraph clearance required, depending on position

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