> Markdown version of [/jobs/ext/4413596-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/4413596-machine-learning-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - **Company:** Booz Allen Hamilton Inc. - **Location:** Alexandria, VA, United States - **Salary:** $77,600.0 - $176,000.0 - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Java (Programming Language), Artificial Intelligence, Computer Vision, C++ (Programming Language), Cursor, Python (Programming Language), Machine Learning, Tensorflow, Rust (Programming Language), Data Processing, Pytorch, Large Language Models, Deep Learning, Generative AI, AI-powered Productivity Tools, SC Clearance, Scikit Learn, Machine Learning Operations, Software Coding, Unsupervised Learning, Programming Languages - **Published:** October 2, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/88498737/1 ## About the Role * Experience with AI, data science, or ML engineering, including developing and deploying models * Experience developing code using a common programming language, including 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 * Secret clearance * Bachelor's degree Nice If You Have: * Experience with generative and agentic AI technologies such as LLMs, MCP, LangChain, or LangGraph * Experience with supervised and unsupervised learning ## Description As an experienced AI and machine learning (ML) engineer, you know that ML is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support innovation across the DoD market. As an ML engineer on our defense technology team, you'll train, test, deploy, and maintain models that learn from data. In this role, you'll own and define the direction of mission-critical solutions by implementing AI that enables faster mission success. You'll be part of a large community of ML engineers across the company and collaborate with data engineers, data scientists, solutions architects, and product owners to deliver world-class solutions to implement a wide variety of AI use cases. Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks. Work with us to solve real-world challenges and define AI strategy for national security.