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AI/ML Engineer/Data Scientist / Public Trust

Pay
$104,000–166,000/yearAnnual period assumed — pay source
Target Salary Range $104,000 - $166,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Benefits Statement Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting

Before you apply

Work authorization
US citizens onlyUS Citizenship is required

What you’ll work on

Full posting
  • Design, build, and maintain ETL pipelines

  • Write Python transform scripts that convert raw data to standard schemas

  • Implement and manage OpenShift/Kubernetes containerization

  • Integrate CI/CD pipelines into the software development lifecycle

  • Monitor and optimize system performance, reliability, and availability

From the employer’s posting
Design, build, and maintain Extract, Transform, and Load (ETL) pipelines using industry best practices.
Work with data management teams to design transform scripts in languages like Python to convert raw data to standardized data schemas.
Implement and manage containerization strategies using OpenShift/Kubernetes.
Collaborate with development teams to integrate CI/CD pipelines into the software development lifecycle.
Monitor and optimize system performance, reliability, and availability.

What you’ll bring

All qualifications

Core experience

  • Bachelor’s degree and a minimum of 8 years related technical experience required.
  • Experience with the Databricks Data and AI platform.
  • Proficiency in scripting and automation (Bash, Python, etc.).
  • Proven experience with OpenShift and Kubernetes in production environments.
  • Strong understanding of containerization principles (Docker, Podman, etc.).
  • Experience with Openshift/Kubernetes and other container-based platforms.
Qualification wording
Bachelor’s degree and a minimum of 8 years related technical experience required.
Experience with the Databricks Data and AI platform.
Proficiency in scripting and automation (Bash, Python, etc.).
Proven experience with OpenShift and Kubernetes in production environments.
Strong understanding of containerization principles (Docker, Podman, etc.).
Experience with Openshift/Kubernetes and other container-based platforms.
Education & alternatives
Required: - Bachelor’s degree and a minimum of 8 years related technical experience required. - An additional 4 years of experience may be substituted in lieu of a degree.
Apply at Peraton

Posting record

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Open 4 monthsWe first saw this posting 121 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jul 15, 2026121 days ago
Recorded sightings
147
Last seen by us
Nov 11, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

Lower than most similar jobs

$104K–$166K against $166K–$240K, the middle half of what similar US postings state.

From 1,394 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 121

Up longer than most. Similar jobs usually come down between day 8 and day 76.

Well past Peraton’s usual: its jobs come down by about day 42.

From 5,460 similar postings that came down, and 266 of Peraton’s. Coming down is not always a hire.

Peraton is hiring

110 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down at a usual pace
  • 6% of open jobs were reposted
Hiring record

See how this role fits your experience

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.

  • Bash
  • Python
  • Databricks
  • Docker
  • Kubernetes
Where the posting names them
- Demonstrated fluency in AI/ML techniques. - Proficiency in scripting and automation (Bash, Python, etc.). - Strong understanding of containerization principles (Docker, Podman, etc.).
- Design, build, and maintain Extract, Transform, and Load (ETL) pipelines using industry best practices. - Work with data management teams to design transform scripts in languages like Python to convert raw data to standardized data schemas. - Implement and manage containerization strategies using OpenShift/Kubernetes.
Preferred: - Experience with the Databricks Data and AI platform. - Proven experience with OpenShift and Kubernetes in production environments.
- Proficiency in scripting and automation (Bash, Python, etc.). - Strong understanding of containerization principles (Docker, Podman, etc.). - Ability to work independently and collaboratively in a team environment.
- Work with data management teams to design transform scripts in languages like Python to convert raw data to standardized data schemas. - Implement and manage containerization strategies using OpenShift/Kubernetes. - Collaborate with development teams to integrate CI/CD pipelines into the software development lifecycle.
- Experience with the Databricks Data and AI platform. - Proven experience with OpenShift and Kubernetes in production environments. - Experience with Openshift/Kubernetes and other container-based platforms.
- Proven experience with OpenShift and Kubernetes in production environments. - Experience with Openshift/Kubernetes and other container-based platforms. - Experience implementing and utilizing AI models to explore and refine data.

Your next step

Complete your application on careers-peraton.icims.com. The employer’s form will show what is required.

Applying through iCIMS

  • You start with your email. New applicants then create a login, and returning ones sign in.
  • Upload your resume before you fill anything in: iCIMS fills some profile fields from it.
  • Check your status on the employer’s iCIMS Dashboard, under Past Job Submittals.

Already applied? Track this application

Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 10% over the last 6 weeks compared with the 6 before.

Weekly new ML Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 612, the most 1,081, and the latest week had 1,068.
August 17Last week

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.

About the role

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.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

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.

Job description

View original posting ↗

Peraton Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can’t be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we’re keeping people around the world safe and secure.

Responsibilities

Peraton is currently seeking to hire an experienced AI/ML Data Scientist to join our Federal Strategic Cyber program.

 

Location: Warrenton, VA

 

Position Description:

  • Expertise and fluency in AI/ML techniques.
  • Design, build, and maintain Extract, Transform, and Load (ETL) pipelines using industry best practices.
  • Work with data management teams to design transform scripts in languages like Python to convert raw data to standardized data schemas.
  • Implement and manage containerization strategies using OpenShift/Kubernetes.
  • Collaborate with development teams to integrate CI/CD pipelines into the software development lifecycle.
  • Monitor and optimize system performance, reliability, and availability.
  • Automate infrastructure and application deployment processes.
  • Ensure security best practices are implemented throughout all DevOps procedures.
  • Troubleshoot and resolve issues in development, test, and production environments.

Qualifications

Required:

 

  • Bachelor’s degree and a minimum of 8 years related technical experience required.
    • An additional 4 years of experience may be substituted in lieu of a degree.
  • Demonstrated fluency in AI/ML techniques.
  • Proficiency in scripting and automation (Bash, Python, etc.).
  • Strong understanding of containerization principles (Docker, Podman, etc.).
  • Ability to work independently and collaboratively in a team environment.
  • Experience interfacing with clients, technical support personnel, and other technical professionals to ensure efficient and effective service.
  • U.S. Citizenship is required. 
  • Ability to obtain a Public Trust security clearance required.
  • Willingness and ability to travel 10-25%.

Preferred:

 

  • Experience with the Databricks Data and AI platform.
  • Proven experience with OpenShift and Kubernetes in production environments.
  • Experience with Openshift/Kubernetes and other container-based platforms.
  • Experience implementing and utilizing AI models to explore and refine data.
  • Experience training task specific AI models for normalization and alerting.
  • Experience with SAFe Agile testing environments.
  • Experience using OpenShift to run microservice architectures designed to manage scale of data transformation processes.

Target Salary Range

$104,000 - $166,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.

Benefits Statement

Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.

Application Statements

The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity. Use of artificial intelligence (AI) tools of any kind during Peraton interviews is strictly prohibited unless the candidate has obtained prior written authorization. All interview responses must be the candidate’s own.

EEO

EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.
Source details

View original posting ↗

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Pay
Target Salary Range $104,000 - $166,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Benefits Statement Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.
Location & working pattern

Warrenton, VA

Working pattern and location restrictions need checking in the full posting.

Work authorization
- Experience interfacing with clients, technical support personnel, and other technical professionals to ensure efficient and effective service. - U.S. Citizenship is required. - Ability to obtain a Public Trust security clearance required. - Willingness and ability to travel 10-25%.

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