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Ml Infrastructure Engineer Jobs in Virginia (NOW HIRING)

SAIC

AI/ML Engineer

Chantilly, VA · Hybrid

$200K - $240K/yr

ORA_ON_SITE Description SAIC is seeking an experienced AI/ML Engineer to serve as a senior ... Support model-agnostic infrastructure leveraging partnerships with AI Titans and existing ...

SAIC

AI/ML Engineer

Chantilly, VA · On-site

$200K - $240K/yr

ORA_ON_SITE Description SAIC is seeking an experienced AI/ML Engineer to serve as a senior ... Support model-agnostic infrastructure leveraging partnerships with AI Titans and existing ...

Noblis

AI/ML Engineer

Reston, VA · On-site

Infrastructure & Operations * Architect and implement cloud-native ML infrastructure on AWS. * Develop and maintain DevOps and MLOps pipelines to streamline model development, testing, deployment ...

Noblis

AI/ML Engineer, Mid

Reston, VA · On-site

Infrastructure & Operations * Architect and implement cloud-native ML infrastructure on AWS. * Develop and maintain DevOps and MLOps pipelines to streamline model development, testing, deployment ...

SAIC

AI/ML Engineer

Chantilly, VA · On-site

$200K - $240K/yr

Description SAIC is seeking an experienced AI/ML Engineer to serve as a senior technical advisor ... Support model-agnostic infrastructure leveraging partnerships with AI Titans and existing ...

Deloitte

Azure/Databricks Infrastructure Engineer

Mclean, VA · On-site

$56.25 - $75.25/hr

Experience supporting enterprise analytics, ETL, Snowflake, or modern data engineering ecosystems Experience supporting AI/ML or advanced analytics infrastructure environments Azure and/or Databricks ...

Noblis

AI/ML Engineer, Senior

Chantilly, VA · On-site

$107K - $146K/yr

Infrastructure & Operations * Architect and implement cloud-native ML infrastructure on AWS. * Develop and maintain DevOps and MLOps pipelines to streamline model development, testing, deployment ...

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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 Sep 1, 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:

What job categories do people searching Ml Infrastructure Engineer jobs in Virginia look for?

The top searched job categories for Ml Infrastructure Engineer jobs in Virginia are:

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 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $125,976 per year, or $60.6 per hour.

AI/ML Engineer

SAIC

Chantilly, VA • Hybrid

$200K - $240K/yr

Full-time

Posted 6 days ago

SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

80th of 226 rated it services

Job description

Job ID: 2615905

Location: Chantilly, VA, US

Date Posted: 2026-08-26

Category: Engineering and Sciences

Subcategory: Machine Learning Engineer

Schedule: Full-Time

Shift: Day Job

Travel: Yes - 10% of the time

Minimum Clearance Required: TS.SCI_wPoly

Clearance Level Must Be Able to Obtain: None

Potential for Remote Work: ORA_ON_SITE


Description

SAIC is seeking an experienced AI/ML Engineer to serve as a senior technical advisor, ensuring infrastructure supports frontier AI models, mission use cases, and rapid R&D experimentation. Support model-agnostic infrastructure leveraging partnerships with AI Titans and existing enterprise solutions.

Responsibilities include but are not limited to:

  • Provide expert guidance on AI/ML infrastructure requirements for models, including, for example frontier and foundational models
  • Assess technical approaches for GPU cluster architecture, model training, and inference at scale
  • Evaluate contractor’s model-agnostic approach and partnerships with AI Titans
  • Support evaluation of AI/ML use cases
  • Advise on data fusion architectures across datasets
  • Assess AI model deployment, orchestration, and Machine Learning Ops (MLOps) requirements for rapid experimentation
  • Guide R&D experimentation framework and capability demonstration planning
  • Support experimentation support contract coordination with use case development
  • Evaluate hardware benchmark performance against requirements
  • Support onboarding and sustainment model development
  • Support briefings to senior leadership on AI technical approaches, risks, and use case readiness 

Qualifications

Required Experience:

  • Active TS SCI w/Poly
  • Bachelor’s degree and 14 years or more experience; Master’s degree and 12 years or more experience; PhD and 9 years or more experience  
  • 10+ years in data management and processing experience with strong emphasis in AI/ML
  • Deep expertise in AI/ML model training and inference infrastructure
  • Frontier AI models (large language models, multimodal models, etc.) and model-agnostic architectures
  • GPU cluster architecture and high-performance AI computing
  • MLOps, model deployment, and orchestration platforms
  • Data fusion
  • AI/ML frameworks
  • COTS AI infrastructure and enterprise solution integration
  • Partnerships with commercial AI providers and technology transfer
  • Technical leadership and senior-level communication
  • Rapid experimentation and use case development methodologies

Target salary range: $180,000 - $220,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

Target salary range: $200,001 - $240,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

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