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Machine Learning Government Jobs in Washington, DC

SOSi

Machine Learning Engineer- Senior

Chantilly, VA · On-site

$125K - $165K/yr

Overview SOSi is seeking a skilled Machine Learning Engineer to support a US government customer in Chantilly, VA. In this job you will work with other talented data scientists, software developers ...

Elder Research

Machine Learning Engineer

Chantilly, VA · On-site

$140 - $190/hr

... Machine Learning Engineer to join our team in Chantilly, VA. Build and deploy AI agents to both ... S. Government Security Clearance at the TS/SCI level with CI polygraph. Minimum 3 years of ...

STR

Machine Learning Engineer

Arlington, VA

$115K - $140K/yr

The tools and technologies we develop have real world impact and US Government analysts and operators use them to enable intelligence activities around the globe. The Role As a Machine Learning ...

Socket.dev

Machine Learning Engineer

Arlington, VA · On-site

$115 - $140/hr

The tools and technologies we develop have real world impact and US Government analysts and operators use them to enable intelligence activities around the globe. The Role As a Machine Learning ...

STR

Machine Learning Engineer

Arlington, VA · On-site

$115K - $140K/yr

The tools and technologies we develop have real world impact and US Government analysts and operators use them to enable intelligence activities around the globe. The Role As a Machine Learning ...

STR

Machine Learning Engineer

Arlington, VA · On-site

$115K - $140K/yr

The tools and technologies we develop have real world impact and US Government analysts and operators use them to enable intelligence activities around the globe. The Role As a Machine Learning ...

STR

Senior Machine Learning Engineer

Arlington, VA

$155K - $195K/yr

The tools and technologies we develop have real world impact and US Government analysts and ... The Role As a Senior Machine Learning Engineer, you will turn cutting-edge AI/ML research into ...

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Machine Learning Government information

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How much do machine learning government jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for machine learning government in Washington, DC is $25.85, according to ZipRecruiter salary data. Most workers in this role earn between $22.31 and $28.85 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the machine learning government position, and why are they important?

To excel in a Machine Learning Government role, candidates typically need expertise in data analysis, machine learning algorithms, and programming languages such as Python or R, often backed by a degree in computer science, data science, or a related field. Familiarity with government data systems, cloud platforms, and security protocols, as well as certifications like Certified Data Professional (CDP), can be valuable. Strong problem-solving skills, attention to detail, and the ability to communicate technical concepts to non-experts are highly desirable soft skills. These competencies enable professionals to effectively integrate machine learning solutions while adhering to regulatory requirements and serving public sector objectives.

What types of government projects do machine learning professionals typically work on?

Machine learning professionals in the government sector often work on projects related to public service optimization, fraud detection, public safety analytics, and predictive modeling for policy development. These roles may involve collaborating with cross-functional teams, including data analysts, policymakers, and IT specialists, to turn large datasets into actionable insights. Daily tasks might include cleaning and analyzing data, building predictive models, and presenting results to stakeholders with varying technical backgrounds. The work environment is usually mission-driven, with an emphasis on transparency, compliance, and impact. Over time, professionals in this field can advance into leadership or specialized research roles, contributing to innovative solutions that benefit the public.

What is a machine learning government?

A Machine Learning Government job involves applying artificial intelligence and data science techniques to solve problems in public sector domains like healthcare, cybersecurity, law enforcement, and policy analysis. Professionals in this field work with large datasets, develop predictive models, and enhance decision-making processes for government agencies. They may also focus on ethical AI deployment, regulatory compliance, and ensuring transparency in machine learning applications. These roles often require expertise in programming, statistics, and domain-specific knowledge related to government operations.

What are popular job titles related to Machine Learning Government jobs in Washington, DC?

For Machine Learning Government jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Machine Learning Government jobs in Washington, DC look for?

The top searched job categories for Machine Learning Government jobs in Washington, DC are:

Machine Learning Government jobs near you
Infographic showing various Machine Learning Government job openings in Washington, DC as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $53,762 per year, or $25.8 per hour.

Machine Learning Engineer- Senior

SOSi

Chantilly, VA • On-site

$125K - $165K/yr

Full-time

Re-posted 28 days ago

Job description

Company Description
Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.
Job Description
Overview
SOSi is seeking a skilled Machine Learning Engineer to support a US government customer in Chantilly, VA. In this job you will work with other talented data scientists, software developers, and SMEs to apply the best practices and state of the art data science and machine learning processes. This role requires the ability to solve complex problems independently and collaboratively in a dynamic work environment. Strong communication skills are essential for translating technical concepts to non-technical stakeholders and delivering actionable insights.
Essential Job Duties
  • Leverage data science and machine learning processes to answer mission challenges.
  • Develop and iterate rapid prototype solutions, leveraging open-source models and technologies where possible
  • Flexibility to support topics such as object detection, data triage, search/optimization, image/video analysis, facial recognition, behavior detection, and automated discovery.
  • Apply excellent problem-solving skills to address technical challenges, both independently and as part of a team in a fast-paced environment.
  • Comprehend project requirements and execute tasks accordingly, ensuring alignment with project goals and timelines.
  • Effectively communicate technical concepts and deliver results to non-technical leadership and stakeholders, facilitating informed decision-making.

Qualifications
Minimum Requirements
  • Existing TS/SCI (with poly). This security clearance requires U.S. citizenship. Candidates will not be nominated for new clearances.
  • Minimum 5 years of experience in a data science/engineer role.
  • Experience developing and using agentic AI frameworks including Autogen.
  • Experience with prompt engineering beyond traditional code writing and debugging. Understanding of how to craft prompts for discrete tasks such as data labeling and processing.
  • Experience with asynchronous Python development using frameworks like Ray and FastAPI.
  • Experience developing and deploying AI/ML models as part of production systems, implementing software development best practices for scalability and reliability.
  • Experience developing and applying advanced machine learning methods including clustering, regression, optimization, recommender engines, and artificial neural networks.
  • Deploying models into multi-node Ray clusters utilizing various GPU resources.
  • Experience with developing and deploying resources to cloud environments.
  • Experience working in Linux and Windows environments and managing resources for efficiency.
  • Demonstrated ETL expertise.

Preferred Qualifications
  • Bachelor's degree in Data Science, Statistics, Computer Science, or a related field; OR equivalent experience.
  • Experience in the US Intelligence Community.

Additional Information
Work Environment
  • Office setting with a combination of desk work and meetings.

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

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