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BOOZ ALLEN HAMILTON INTERNATIONAL (U.K.) LTD Logo

AI and ML Engineer, Lead

BOOZ ALLEN HAMILTON INTERNATIONAL (U.K.) LTD

$128,700 - $292,000
Sep 12, 2025
Annapolis Junction Business Park, MD, US
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Booz Allen is looking for an experienced AI and ML Engineer, Lead to train, test, deploy, and maintain models that learn from data to support high impact client focused solutions and solve operational challenges for national security clients.

Requirements

  • 5+ years of experience with artificial intelligence (AI), data science, ML engineering, data research, software engineering, or data analytics
  • Experience with software and artificial intelligence projects
  • Experience with the Python programming language
  • Knowledge of methodologies for deep learning, computer vision, NLP, or signal processing machine learning development
  • Knowledge of modern software design patterns, including microservice design or edge computing
  • Experience with embedded systems programming in C, C++, or Rust
  • Experience with GPU programming, including CUDA or RAPIDs

Responsibilities

  • train, test, deploy, and maintain models that learn from data
  • apply best-fit ML algorithms and technologies
  • collaborate with analysts, data engineers, data scientists, solutions architects, and product owners to deliver world class solutions to real-world problems
  • processing data and information at a massive scale
  • developing pipelines that optimize the use of infrastructure
  • integrating critical technologies into efficient user experiences
  • guide clients as they navigate the landscape of ML algorithms, tools, and frameworks

Other

  • TS/SCI clearance with a polygraph
  • Bachelor's degree
  • Ability to gather requirements from customers and lead Agile teams
  • Master's degree in Computer Science or Statistics preferred; Doctorate degree in Computer Science or Statistics a plus
  • Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information