Machine Learning Engineer

Booz Allen Hamilton

Confirmed live today Low trust

Quick summary

Work type: On-site
Location: Arlington, VAAlexandria, VAWashington, DC
Employment: Full-time
Posted: 87 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $226k

$163k $290k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $200,437–$251,925.

Based on 240 similar postings.

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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 1662 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 904 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 various AI use cases and guide clients through ML algorithms, tools, and frameworks. Required technical skills include Python coding with libraries like scikit-learn, TensorFlow, or PyTorch, as well as experience with C++, Rust, or Java. You must possess expertise in deep learning, computer vision, or generative AI. The role involves solving real-world challenges and defining AI strategy for national security.

What does a Machine Learning Engineer earn?

Median $235750 from 323 postings across 48 companies.

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Skills

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

What you'll do

Train, test, deploy, and maintain machine learning models that learn from data.
Conduct statistical analyses on business processes using machine learning techniques.
Implement AI solutions that enable faster mission success for defense technology.
Define the direction of mission-critical solutions and AI strategies for national security.
Guide clients through the landscape of ML algorithms, tools, and frameworks.
Develop code using Python, C++, Rust, or Java to solve real-world challenges.
Handle data and develop models using libraries like scikit-learn, TensorFlow, or PyTorch.

What we're looking for

2+ years of experience with artificial intelligence, data science, software engineering, or machine learning engineering, including developing and deploying models.
Experience with Python coding and libraries, including scikit-learn, TensorFlow, or PyTorch.
Experience developing code using a common programming language, including Python, C++, Rust, or Java.
Experience with deep learning, computer vision, or generative AI.
Experience with data handling and model development.
Experience with generative and agentic AI technologies such as LLMs, MCP, LangChain, or LangGraph (preferred).
Bachelor's degree.

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