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Machine Learning Government Jobs in Washington, DC

AIToolboard

AI / Machine Learning Engineer

Mclean, VA · On-site

$140 - $190/hr

/AI / Machine Learning Engineer# AI / Machine Learning EngineerCyberMedia TechnologiesMcLean, USFull ... S. Federal Government. Headquartered in McLean, VA, CTEC has over 300 team members working on ...

STR

Senior Machine Learning Engineer

Arlington, VA · On-site

$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 ...

STR

Senior Machine Learning Engineer

Arlington, VA · On-site

$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 ...

Halvik

Machine Learning Engineer - Remote

Vienna, VA · On-site +1

$140K - $150K/yr

... Machine Learning, Cyber Security and Cutting Edge Technology across the US ... Government. Be a part of something special! Role and Responsibilities Model Development

STR

Senior Machine Learning Engineer

Washington, DC · On-site

$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 ...

J5 Consulting

Machine Learning Engineer

Herndon, VA · On-site

J5 Consulting is a Maryland based company established in 2006 to provide computing and consulting services for government and commercial entities. Our services improve Information System networking ...

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Machine Learning Government information

See Washington, DC salary details

$15

$25

$35

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.

Artificial Intelligence/Machine Learning Engineer

Everwatch

Annapolis Junction, MD • On-site

$47.60 - $108.18/hr

Full-time

Re-posted 4 days ago

Job description

Job TitleArtificial Intelligence/Machine Learning EngineerOverview

EverWatch is a government solutions company providing advanced defense, intelligence, and deployed support to our country's most critical missions.  We are a full-service government solutions company. Harnessing the most advanced technology and solutions, we strengthen defenses and control environments to preserve continuity and ensure mission success.

EverWatch employees are focused on tackling the most difficult challenges of the US Government. We offer the best salaries and benefits packages in our industry - to identify and retain the top talent in support of our critical mission objectives.

Commitment to Non-Discrimination:

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Responsibilities

Cyber and intelligence analysts rely on multistep workflows that are timesensitive, detailrich, and critical to national security. As an Artificial Intelligence/Machine Learning Engineer, you will work directly with mission users to capture these workflows, document operational decision points, and translate them into effective AIenabled capabilities.

You will design and implement solutions that may include LLMpowered workflows, agentbased automation, or hybrid approaches depending on mission needs. Your work will streamline analytical tasks, improve data accessibility, and support rapid, informed decisionmaking in hightempo environments.

You'll collaborate with operators, analysts, developers, and mission leadership to ensure solutions integrate cleanly with existing systems, perform reliably in production, and adhere to the security and governance expectations of classified environments.

Join us. The world can't wait.

Qualifications

You Have: 

  • Experience capturing user workflows and translating them into structured process maps, automation requirements, or executable logic
  • Experience designing or implementing LLMbased or agentic workflows, including multistep reasoning, tool integrations, and orchestration
  • Experience integrating AI systems with APIs, enterprise data stores, or mission platforms
  • Experience with programming languages such as Python
  • TS/SCI clearance with a polygraph 
  • Bachelor's degree and 3+ years of experience in AI/ML engineering, data science, or software engineering within cyber, intelligence, or national security environments, 6+ years of experience in AI/ML engineering, data science, or software engineering within cyber, intelligence, or national security environments in lieu of a degree, OR Master's degree and technical experience

Nice If You Have: 

  • Experience engineering AI capabilities in onpremise or multiclassification environments
  • Experience with AWS or Azure, including work in restricted or classified environments
  • Experience with AI/LLM development framework such as LangChain, LangGraph, PydanticAI, or CrewAI
  • Experience with ML frameworks such as PyTorch, TensorFlow, vLLM, or llama.cpp
  • Experience with cyber or intelligence workflows, operational data types, or missionoriented analytical processes
  • Master's degree in AI, ML, Data Science, Cybersecurity, or Engineering

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with a polygraph is required. 

Compensation at EverWatch is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $47.60 to $108.18 per hour.  The estimate displayed represents the typical compensation range for this position and is just one component of EverWatch's total compensation package for employees.

Job LocationsUS-MD-Annapolis JunctionSkillsAI/ML, LLM, API, PythonMinMaxEmployment Type: OTHER

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