Pay
Lower than most similar jobs
$99K–$225K against $166K–$240K, the middle half of what similar US postings state.
From 1,383 postings in the last year. Stated ranges, not salaries paid.
Arlington, VA
Actively hiring, first seen by us 1 day agoAt Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity StatementRead the full posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Top Secret clearance is required
Develop and deploy AI/ML solutions that process data at massive scale
Develop innovative solutions to complex problems
Mentor team members and may supervise them
Processes data and information at massive scale with artificial intelligence (AI) and machine learning (ML) technologies
Develops innovative solutions to complex problems.
Mentors and may supervise team members.
Top Secret clearance
Experience with Python, machine learning frameworks and libraries
Experience with Generative AI technologies, including Large Language Models (LLMs), Azure OpenAI, Retrieval-Augmented Generation (RAG)
HS diploma or GED
Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Lower than most similar jobs
$99K–$225K against $166K–$240K, the middle half of what similar US postings state.
From 1,383 postings in the last year. Stated ranges, not salaries paid.
Day 1
Early. Similar jobs usually come down between day 8 and day 75.
At Booz Allen Hamilton, jobs usually come down by about day 34.
From 5,196 similar postings that came down, and 627 of Booz Allen Hamilton’s. Coming down is not always a hire.
229 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 5+ years of experience developing, deploying, and sustaining AI, machine learning, data science, or advanced analytics solutions in production environments - Experience with Python, machine learning frameworks and libraries, and building scalable solutions using supervised and unsupervised ML, deep learning, forecasting, anomaly detection, optimization, or predictive analytics - Experience with Generative AI technologies, including Large Language Models (LLMs), Azure OpenAI, Retrieval-Augmented Generation (RAG), agentic AI frameworks, AI orchestration, and emerging AI capabilities
- Experience integrating AI/ML solutions through APIs, microservices, and containerized architectures using Docker, Kubernetes, or OpenShift - Experience with cloud platforms and enterprise data architectures, including Azure, AWS, data lakes, ETL/ELT pipelines, data quality frameworks, metadata management, lineage, and scalable analytics environments - Knowledge of CI/CD, version control, Infrastructure-as-Code, observability, and deployment automation
Nice If You Have: - Experience with Azure Machine Learning, Azure Functions, Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, Azure DevOps, AWS GovCloud, Snowflake, Redshift, Apache Spark, PySpark, or Airflow - Experience supporting DoD, Intelligence Community, aerospace, sustainment, logistics, maintenance, readiness, acquisition, or highly regulated federal environments
- Experience with Python, machine learning frameworks and libraries, and building scalable solutions using supervised and unsupervised ML, deep learning, forecasting, anomaly detection, optimization, or predictive analytics - Experience with Generative AI technologies, including Large Language Models (LLMs), Azure OpenAI, Retrieval-Augmented Generation (RAG), agentic AI frameworks, AI orchestration, and emerging AI capabilities - Experience developing and maintaining production ML capabilities, including model performance monitoring, explainability, validation, drift detection, retraining strategies, model governance, and operational support
- Experience developing and maintaining production ML capabilities, including model performance monitoring, explainability, validation, drift detection, retraining strategies, model governance, and operational support - Experience integrating AI/ML solutions through APIs, microservices, and containerized architectures using Docker, Kubernetes, or OpenShift - Experience with cloud platforms and enterprise data architectures, including Azure, AWS, data lakes, ETL/ELT pipelines, data quality frameworks, metadata management, lineage, and scalable analytics environments
- Experience supporting DoD, Intelligence Community, aerospace, sustainment, logistics, maintenance, readiness, acquisition, or highly regulated federal environments - Experience developing enterprise dashboards and analytical products using Power BI, Tableau, Looker, or similar visualization platforms - Ability to successfully explain AI solutions to a non-technical audience
Complete your application on bah.wd1.myworkdayjobs.com. The employer’s form will show what is required.
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Yes. We’ve followed 4 other AI/ML Engineer jobs there since August 2026. All 4 are still up.
Large employers often post one title for several teams, so these can be separate openings.
New ML Engineer postings at the employers we follow are up 13% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
The Opportunity:
Processes data and information at massive scale with artificial intelligence (AI) and machine learning (ML) technologies to include ML-based NLP, Generative AI, Deep Neural Networks, and AI/ML technologies. Applies advanced advisory skills or extensive technical expertise with full industry knowledge. Develops innovative solutions to complex problems. Works without considerable direction. Mentors and may supervise team members.
Join us. The world can't wait.
You Have:
Nice If You Have:
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Top Secret clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
This passage needs a closer read in the full description.
Arlington, VA
Work Model Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. - Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. - Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role. - Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.
No clear work-authorization passage found. Eligibility is unconfirmed.