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Ml Infrastructure Engineer Jobs in Virginia (NOW HIRING)

You will design, build, and maintain production AI/ML services and infrastructure that enable teams ... Working with software engineers, data engineers, data scientists, cybersecurity teams, and mission ...

You will design, build, and maintain production AI/ML services and infrastructure that enable teams ... Working with software engineers, data engineers, data scientists, cybersecurity teams, and mission ...

You will design, build, and maintain production AI/ML services and infrastructure that enable teams ... Working with software engineers, data engineers, data scientists, cybersecurity teams, and mission ...

Senior AI/ML Engineer

Arlington, VA · On-site

$120K - $165K/yr

You will lead the design and evolution of production AI/ML services and infrastructure that enable ... Working with software engineers, data engineers, data scientists, cybersecurity teams, and mission ...

Senior AI/ML Engineer

Arlington, VA · On-site

$140 - $210/hr

You will lead the design and evolution of production AI/ML services and infrastructure that enable ... Working with software engineers, data engineers, data scientists, cybersecurity teams, and mission ...

Senior AI/ML Engineer

Arlington, VA

$120K - $165K/yr

You will lead the design and evolution of production AI/ML services and infrastructure that enable ... Working with software engineers, data engineers, data scientists, cybersecurity teams, and mission ...

Senior AI/ML Engineer

Arlington, VA · On-site

$120K - $165K/yr

You will lead the design and evolution of production AI/ML services and infrastructure that enable ... Working with software engineers, data engineers, data scientists, cybersecurity teams, and mission ...

Showing results 21-40

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:
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:
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.

$123K - $162K/yr

Full-time

Re-posted 20 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

As Senior Software Engineer, you'll bring creative architect solutions to end customers, with the goal to make an impact across the federal government.

Responsibilities:

  • Work with AI team members to operate data pipelines and ML tasks
  • Provide day-to-day support of deploying Python-native ML pipelines
  • Support architectural leadership, technical support, and advisement services to ensure identity management system technologies are integrated and meet the appropriate security requirements
  • Support leadership who engages with senior level executives at a public facing Federal agency and provide subject matter expertise in security architecture and other key domain.
  • Ability to perform, but not limited to, automation and engineering tasks, testing, implementation, data, AI/ML, infrastructure/operations, and security engineer tasks in cloud environments

You have:

  • 7 years of experience in the Information Technology field, focusing on development projects using DevSecOps and AWS cloud environments
  • A bachelor's degree in Computer Science, Information Technology Management or Engineering, or other comparable degree; or 4 years of experience in leu of degree
  • 6 years of experience with full stack engineering in classified environments
  • Proven experience in large-scale, high-performance enterprise big data application deployment and solution architecture on complex heterogeneous environments in AWS
  • Strong experience with automation and engineering tasks, implementation, data, infrastructure/operations, and security engineer tasks in cloud environments
  • 3 years of experience with any of the following: Go, Python, Java, JavaScript, React, AngularJS, TypeScript, NextJS

Clearance:

  • An active TS/SCI with polygraph is required

What Accenture Federal Services employees say

Pay

Benefits

Hours and flexibility

Workplace

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