Machine Learning Engineer

Booz Allen Hamilton

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Aurora, CO
Salary: $77,600–$176,000 / yr
Posted: 24 days ago
Freshness: Confirmed live yesterday
Closes: Nov 16, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $223k

This role $127k

$55k most similar roles pay here $288k

This role pays less than 97% of similar roles. Most pay $192,050–$254,750 — the shaded band above. At the midpoint, this role pays about $127k versus about $223k for comparable roles.

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 802 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 783 roles with salary data.

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View all roles at Booz Allen Hamilton

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 while collaborating with data scientists, physicists, and systems engineers to develop agentic AI solutions. Your daily work involves defining machine learning strategy for intelligence community space projects and helping clients navigate various tools and frameworks. To succeed in this role, you must possess experience in data science or machine learning, as well as proficiency in Python, Java, or C++. Additionally, the position requires experience with Kubernetes and operationalizing software in cloud environments such as AWS, Microsoft Azure, or Google. Candidates must hold a TS/SCI clearance to address these specific technical challenges within the space domain.

What does a Machine Learning Engineer earn?

Median $236000 from 319 postings across 54 companies.

See salary data

Skills

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

What you'll do

Train, test, deploy, and maintain machine learning models based on large datasets.
Apply best-fit ML algorithms and technologies to develop mission-critical agentic AI solutions.
Conduct statistical analyses on business processes using machine learning techniques.
Define machine learning strategies for intelligence community space projects.
Operationalize software within cloud environments such as AWS, Microsoft Azure, or Google.
Manage and deploy software into production environments using Kubernetes.
Advise clients on the landscape of ML algorithms, tools, and frameworks.

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.
Experience with machine learning operations pipelines (preferred).
Ability to deploy software into a production environment (preferred); TS/SCI clearance with a polygraph (preferred); Bachelor's degree in a STEM field (preferred); Security+ Certification (preferred).