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Machine Learning Government Jobs (NOW HIRING)

Koitecc Solutions

Machine Learning Engineer

Chantilly, VA · On-site

$120 - $180/hr

Machine Learning Engineer General Information Requisition #728 Locations USA-VA-Chantilly Posting ... Government Security Clearance at the TS/SCI level with CI polygraph. * Minimum 3 years of ...

Rule14

Be Seen First

Data Scientist Machine Learning

Santa Monica, CA · On-site

$75K - $100K/yr

As a Data Scientist Machine Learning, you will work within a small data science team focusing on ... within government programs, Rule14 empowers organizations assessing massive amounts of data for ...

Lauretta AI LLC

Machine Learning Engineer L-1

Austin, TX · On-site

$80K - $93K/yr

... modules and machine learning models as part of an AI pipeline * Works with data and software ... Due to government contract requirements, applicants are able to get clearance are preferred

Lauretta AI LLC

Machine Learning Engineer L-1

Austin, TX · On-site

$80K - $93K/yr

... modules and machine learning models as part of an AI pipeline * Works with data and software ... Due to government contract requirements, applicants are able to get clearance are preferred

WireScreen

Machine Learning Engineer

Manhattan, NY · On-site

$120 - $150/hr

We launched just three years ago and already have strong traction with top-tier government ... As a Machine Learning Engineer at WireScreen, you will be working across our data systems to unlock ...

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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 the United States is $22.82, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $25.48 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.

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What are the most commonly searched types of Machine Learning Government jobs?

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Machine Learning Government jobs near you
Infographic showing various Machine Learning Government job openings in the United States as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $47,468 per year, or $22.8 per hour.

Machine Learning Engineer

Koitecc Solutions

Chantilly, VA • On-site

$120 - $180/hr

Other

Posted 10 days ago

Job description

Machine Learning Engineer General Information Requisition #728 Locations USA-VA-Chantilly Posting Date 07/24/2026 Security Clearance Required - TS/SCI + CI Poly Remote Type N/A Time Type Full time Description & Requirements

Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Machine Learning Engineer to join our team in Chantilly, VA.

Responsibilities include but are not limited to:
  • Build and deploy AI agents to both automate and optimize labor intensive workflows, as well as empowering the human workforce to discover entirely new capabilities.
  • Support program with R&D and customer-facing goals, to speed the transition of novel applied research and solutions development into impact on contract.
  • Create software to support AI agent communication, connecting models and agents to external services via API calls, testing and debugging tasks, deploying into target environments, setting up monitoring, and ensuring reliable execution of agentic AI systems.
  • Utilize a combination of open-source models, agentic tools, and large proprietary commercial models.
  • Develop novel approaches to securing agentic workflows and to evaluating the results for accuracy, performance, and impact.
  • Ensure AI systems adhere to ethical guidelines, transparency, and fairness principles.
  • Solid understanding and hands-on experience with generative AI models including prompt engineering, chain-of-thought reasoning, and Natural Language Processing (NLP) tasks such as entity extraction, summarization, and semantic search.
Minimum Qualifications:
  • Active U.S. Government Security Clearance at the TS/SCI level with CI polygraph.
  • Minimum 3 years of experience with a Bachelor's degree
  • Proficiency in Python and SQL
  • Familiarity with Javascript, Containerization (Docker/ Rocky Linux)
  • Familiarity with developing & managing API endpoints (Rest and FastAPI)
  • Familiarity with developing agenticAI workflows/systems
    • Langchain, LangGraph, OpenAI Agents, Pydontic
    • UVicorn (webserver)
  • Streamlit (web apps)
Preferred Qualifications:
  • Familiarity with Multi-agent orchestration
  • Familiarity with Cybersecurity (Mandiant)
  • AWS Cloud experience
  • Experience with Graph Analysis
  • Security Plus
Clearance Requirements:
  • Must have an active TS/SCI + Poly
Physical Requirements:
  • The person in this position must be able to remain in a stationary position 50% of the time. Occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, via email, phone, and or virtual communication, which may involve delivering presentations.
About Elder Research, Inc

- People Centered. Data Driven

Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.

If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.

Equal Opportunity Employer, including disability/protected veterans

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