Machine Learning Engineer

Booz Allen Hamilton

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Quick summary

Work type: On-site
Location: Arlington, VAAlexandria, VAWashington, DC
Employment: Full-time
Posted: 10 days ago
Freshness: Confirmed live today
Closes: Dec 28, 2026
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $219k

$160k $281k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $189,750–$249,000.

Based on 240 similar postings.

Employer

About Booz Allen Hamilton

Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting

Booz Allen Hamilton currently has 1485 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 899 roles with salary data.

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At a glance

TL;DR · Machine Learning Engineer

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As a Machine Learning Engineer on the defense technology team, you will train, test, deploy, and maintain models that learn from data to support innovation across the DoD market. You will own and define the direction of mission-critical solutions by implementing AI that enables faster mission success. Collaborating with data engineers, data scientists, solutions architects, and product owners, you will deliver a wide variety of AI use cases and guide clients through ML algorithms, tools, and frameworks. Required technical skills include Python, C++, Rust, or Java, along with libraries such as scikit-learn, TensorFlow, or PyTorch. You should possess knowledge of deep learning, computer vision, or generative AI. Experience with LLMs, LangChain, or LangGraph is preferred for solving real-world national security challenges.

What does a Machine Learning Engineer earn?

Median $231150 from 313 postings across 46 companies.

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Skills

Python C++ Rust Java scikit-learn TensorFlow PyTorch Deep Learning Computer Vision Generative AI LLMs LangChain LangGraph MCP Supervised Learning Unsupervised Learning Cursor Data Science ML Engineering

What you'll do

Train, test, deploy, and maintain machine learning models that learn from data.
Implement AI solutions to enable faster mission success for national security.
Conduct statistical analyses on business processes using machine learning techniques.
Develop and deploy code using Python, C++, Rust, or Java.
Utilize libraries such as scikit-learn, TensorFlow, or PyTorch for model development.
Guide clients through the landscape of ML algorithms, tools, and frameworks.
Solve real-world client problems and technical issues.
Define AI strategy and mission-critical solutions for the defense market.

What we're looking for

Experience with AI, data science, or ML engineering, including developing and deploying models.
Experience developing code using Python, C++, Rust, or Java.
Experience with data handling and model development.
Knowledge of Python coding and libraries, including scikit-learn, TensorFlow, or PyTorch.
Knowledge of deep learning, computer vision, or generative AI.
Ability to leverage AI productivity tools for coding such as Cursor.
Ability to solve client issues and problems.
Bachelor's degree.

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