Machine Learning Engineer

Booz Allen Hamilton

Confirmed live yesterday Low trust

Quick summary

Work type: On-site
Location: Arlington, VAAlexandria, VAWashington, DC
Employment: Full-time
Posted: 81 days ago
Freshness: Confirmed live yesterday
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.

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 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 solutions for a wide variety of AI use cases. You must possess experience with generative and agentic AI technologies including LLMs, MCP, LangChain, or LangGraph, alongside proficiency in Python, C++, Rust, or Java. Technical requirements include deep learning, computer vision, and data handling. You will use tools like scikit-learn, TensorFlow, or PyTorch to solve real-world challenges and define 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

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

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 code using programming languages such as Python, C++, Rust, or Java.
Build and deploy generative and agentic AI technologies including LLMs, MCP, LangChain, or LangGraph.
Guide clients through the selection and implementation of ML algorithms, tools, and frameworks.
Solve real-world client problems and technical issues related to AI and data handling.

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 generative and agentic AI technologies such as LLMs, MCP, LangChain, or LangGraph.
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 Python coding and libraries, including scikit-learn, TensorFlow, or PyTorch (preferred).
Bachelor's degree.

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