Machine Learning Engineer

Booz Allen Hamilton

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Quick summary

Work type: On-site
Location: Aurora, CO
Employment: Full-time
Posted: 48 days ago
Freshness: Confirmed live today
Closes: Dec 8, 2026
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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Machine Learning Engineer As a Machine Learning Engineer on the space team, you will train, test, deploy, and maintain models that learn from data to support the space industry. You will contribute to mission-critical solutions by applying best-fit machine learning algorithms and technologies to develop agentic AI solutions. Collaborating with data scientists, physicists, and systems engineers, you will help clients navigate the landscape of machine learning tools and frameworks. The role requires experience with data science or machine learning, as well as operationalizing software in the cloud using AWS, Microsoft Azure, or Google. Technical requirements include knowledge of Python, Java, or C++ programming and experience with Kubernetes. This position involves defining machine learning strategy for intelligence community space projects and requires an active TS/SCI clearance.

What does a Machine Learning Engineer earn?

Median $235750 from 323 postings across 48 companies.

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Skills

Machine Learning Python Java C++ AWS Microsoft Azure Kubernetes Agentic AI

What you'll do

Train, test, deploy, and maintain machine learning models that learn from data.
Apply best-fit ML algorithms and technologies to mission-critical solutions.
Develop agentic AI solutions in collaboration with data scientists and systems engineers.
Conduct statistical analyses on business processes using machine learning techniques.
Operationalize software in cloud environments such as AWS, Microsoft Azure, or Google.
Manage and deploy software into production environments using Kubernetes.
Define machine learning strategy for intelligence community space projects.

What we're looking for

Experience with operationalizing software in the cloud such as AWS, Microsoft Azure, or Google.
Experience with Kubernetes.
Experience with data science or machine learning.
Knowledge of Python, Java, or C++ programming.
Active TS/SCI clearance and willingness to take a polygraph exam.
Experience with machine learning operations pipelines (preferred).
Ability to deploy software into a production environment (preferred).
Bachelor's degree in a STEM field (preferred).
Security+ Certification (preferred).