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Ml Engineer Jobs in Virginia (NOW HIRING)

The AI/ML Engineer shall design, develop, test, evaluate, and deploy Al/ML models and ensembles across various domains, including generative Al, classification, prediction, computer vision, natural ...

New

AI/ML ENGINEER Location: Reston,VA Duration: 12+ Months Visa: USC, GC, H1B and EAD Contract Type: W2 We are seeking a highly skilled and motivated AI/ML Engineer to join our team and drive the ...

The AI/ML Engineer shall design, develop, test, evaluate, and deploy Al/ML models and ensembles across various domains, including generative Al, classification, prediction, computer vision, natural ...

New

The AI/ML Engineer shall design, develop, test, evaluate, and deploy Al/ML models and ensembles across various domains, including generative Al, classification, prediction, computer vision, natural ...

New

AI/ML Engineer Arlington, VA 540 is seeking an AI/ML Engineer to support a mission-critical technology modernization effort for the Department of War. You will design, build, and maintain production ...

AI/ML Engineer Arlington, VA 540 is seeking an AI/ML Engineer to support a mission-critical technology modernization effort for the Department of War. You will design, build, and maintain production ...

AI/ML Engineer (Python, AWS, GenAI) Location: Reston, VA (In-person interviews required) Candidate Requirement: Local to East Coast only Client is seeking an AI/ML Engineer to design and deliver end ...

AI/ML Engineer

Chantilly, VA ยท On-site

$99K - $225K/yr

AI/ML Engineer The Opportunity: Data scientists and intelligence analysts rely on multistep workflows that are timesensitive, detailrich, and critical to national security. As an AI/ML Engineer, you ...

540 is seeking an AI/ML Engineer to support a mission-critical technology modernization effort for the Department of War. You will design, build, and maintain production AI/ML services and ...

AI/ML Engineer

Chantilly, VA ยท On-site

$99K - $225K/yr

AI/ML Engineer The Opportunity: Data scientists and intelligence analysts rely on multi-step workflows that are time-sensitive, detail-rich, and critical to national security. As an AI/ML Engineer ...

AI/ML Engineer Location: Arlington, VA Must have an active Top Secret Clearance Node is supporting a U.S. Government customer to provide support for onsite incident response to civilian Government ...

AI/ML Engineer

Chantilly, VA ยท On-site +1

$99K - $225K/yr

Share AI/ML Engineer The Opportunity: Data scientists and intelligence analysts rely on multi-step workflows that are time-sensitive, detail-rich, and critical to national security. As an AI/ML ...

AI/ML Engineer

Chantilly, VA ยท On-site

$99K - $225K/yr

R0245425 AI/ML Engineer The Opportunity: Data scientists and intelligence analysts rely on multi-step workflows that are time-sensitive, detail-rich, and critical to national security. As an AI/ML ...

AI/ML Engineer Location: Arlington, VA Must have an active Top Secret Clearance Node is supporting a U.S. Government customer to provide support for onsite incident response to civilian Government ...

AI/ML Engineer

Arlington, VA ยท On-site

$140 - $170/hr

AI/ML Engineer - Location: Arlington, VA Must have an active Top Secret Clearance Node is supporting a U.S. Government customer to provide support for onsite incident response to civilian Government ...

AI/ML Engineer Location: Arlington, VA Must have an active Top Secret Clearance Node is supporting a U.S. Government customer to provide support for onsite incident response to civilian Government ...

540 is seeking an AI/ML Engineer to support a mission-critical technology modernization effort for the Department of War. You will design, build, and maintain production AI/ML services and ...

540 is seeking an AI/ML Engineer to support a mission-critical technology modernization effort for the Department of War. You will design, build, and maintain production AI/ML services and ...

Senior AI/ML Engineer

Arlington, VA

$120K - $165K/yr

Senior AI/ML Engineer Arlington, VA 540 is seeking a Senior AI/ML Engineer to support a mission-critical technology modernization effort for the Department of War. You will lead the design and ...

They are seeking an experienced AI/ML Engineer to develop and implement AI/ML capabilities for mission-critical problems, focusing on model training and deployment. The role involves collaborating ...

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Showing results 1-20

Ml Engineer information

See Virginia salary details

$32.7K

$88.4K

$140.8K

How much do ml engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for ml engineer in Virginia is $88,418.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,900.00 and $108,100.00 per year, depending on experience, location, and employer.

What is an ML engineer?

ML Engineers, or Machine Learning Engineers, are professionals who design, build, and deploy machine learning models into production systems. They bridge the gap between data science and software engineering, ensuring that machine learning solutions are scalable, reliable, and efficient. ML Engineers work with large datasets, develop algorithms, and optimize models for performance. They also collaborate with data scientists, software developers, and business stakeholders to solve real-world problems using artificial intelligence.

What are the key skills and qualifications needed to thrive as an ML engineer?

To thrive as an ML Engineer, you need a solid background in mathematics, statistics, computer science, and experience with machine learning algorithms, often supported by a degree in a related field. Familiarity with programming languages like Python or R, ML frameworks such as TensorFlow or PyTorch, and data processing tools is typically required, with relevant certifications being a plus. Strong problem-solving, critical thinking, and communication skills help you translate complex data insights into actionable solutions and work effectively in teams. These abilities ensure accurate model development, effective deployment, and successful collaboration on data-driven projects.

What are some common challenges ML engineers face when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring models remain accurate over time as data changes (known as data drift), optimizing models for speed and scalability, and integrating models seamlessly with existing software systems. Additionally, maintaining model performance in real-world environments can require continuous monitoring, retraining, and close collaboration with data engineers and DevOps teams. Addressing these challenges typically involves robust testing, using automated pipelines, and staying up-to-date with the latest MLOps best practices.

What is the difference between Ml Engineer vs Data Scientist?

AspectML EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, Data Science, or related fields; knowledge of ML frameworksBachelor's or Master's in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentDevelops, deploys, and maintains ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, startups, and enterprises deploying ML solutionsResearch institutions, tech firms, and industries relying on data analysis

While both roles involve working with data and machine learning, ML Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights to inform business decisions. The roles often overlap but differ in their core responsibilities and focus areas.

Are machine learning engineers still in demand?

Machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. They typically require skills in programming, data analysis, and frameworks like TensorFlow or PyTorch, and often work in environments that emphasize continuous learning and adaptation. The demand is expected to remain strong as organizations increasingly rely on machine learning solutions for competitive advantage.

What does a machine learning engineer do?

A machine learning engineer designs, develops, and deploys machine learning models to solve specific problems using large datasets. They work with programming languages like Python or Java, utilize frameworks such as TensorFlow or PyTorch, and often collaborate with data scientists and software engineers to integrate models into applications.

What are the most commonly searched types of Ml Engineer jobs in Virginia?

The most popular types of Ml Engineer jobs in Virginia are:

What cities in Virginia are hiring for Ml Engineer jobs?

Cities in Virginia with the most Ml Engineer job openings:

Infographic showing various Ml 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 $88,418 per year, or $42.5 per hour.

AI/ML Engineer

SOSi

Chantilly, VA โ€ข On-site

Full-time

Posted 2 days ago

New


Job description

Company Description

Founded in 1989 and headquartered in Reston, Virginia, SOSi is a private defense and government solutions business specializing in advanced technology systems and mission support. Its capabilities include data science, software development, network engineering, intelligence, surveillance, and reconnaissance (ISR), and logistics.

Job Description

*Position is contingent upon contract award*

SOSi is seeking an Artificial Intelligence/Machine Learning (Al/ML) Engineer. The AI/ML Engineer shall design, develop, test, evaluate, and deploy Al/ML models and ensembles across various domains, including generative Al, classification, prediction, computer vision, natural language processing (NLP), and reinforcement learning. Al/ML engineering services will be provided to support Sponsor's initiatives, leveraging expertise in Al/ML algorithms, software development, and cloud computing.

Essential Job Duties

  • Design and develop Al/ML models and ensembles using Sponsor's data and requirements.
  • Preprocess, clean, and analyze large volumes of structured and unstructured Sponsor data to assess utility for Al model training and testing.
  • Collaborate with staff officers to conceptualize, design, develop, and execute experiments verifying model performance and system soundness.
  • Deploy and maintain Al/ML models and ensembles in cloud-based environments, ensuring scalability, reliability, and security.
  • Develop and maintain extract, transform, and load (ETL) pipelines, SQL configurations, and
  • performance metrics to support Al/ML applications.
  • Document and communicate methods and findings using Sponsor's formats and templates, which could include authoring analytic publications, producing ad-hoc reports, creating data visualizations, delivering slideshow presentations or briefings, or documenting methods in GitHub repositories.
  • Provide technical education to staff on an ad-hoc basis on AI/ML related topics.
  • Provide subject matter expertise in Al/ML to support Sponsor's initiatives.
Qualifications

Minimum Requirements

  • Active Top Secret Clearance. 
  • Demonstrated professional experience with the following required tools, systems, services, and data types:
    • Python or R programming languages for AI/ML development.
    • Deep learning frameworks, such as PyTorch, TensorFlow, or Keras.
    • Version control systems, such as GitHub.
    • Cloud computing services from major providers, including experience with cloud-based AI/ML development and deployment.
    • AI/ML model development and deployment, including model turning, experimentation, validation, and benchmarking.

Preferred Qualifications

  • Experience with AI/ML model explainability and interpretability techniques.
  • Familiarity with Sponsor’s enterprise services, security controls, and data management practices.
  • Experience with front-end web development frameworks, such as Flask.
  • Experience with Tableau to produce visualizations and dashboards.
  • Experience with verification and validation test benches.

Additional Information

Work Environment

  • Working conditions are normal for an office environment.
  • Fast paced, deadline-oriented environment.

Working at SOSi

All interested individuals will receive consideration and will not be discriminated against for any reason.