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Al/ML Engineer Technical Lead - TS/SCI w Poly

Pay
$229,000–366,000/yearAnnual period assumed — pay source
Target Salary Range $229,000 - $366,000. 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
Citizens onlyActive/current TS/SCI security clearance with a current polygraph is required

What you’ll work on

Full posting
  • Lead and mentor AI/ML engineering teams, including hiring and staffing

  • Develop AI/ML strategies and technical roadmaps aligned with customer needs

  • Transform research prototypes into secure, scalable, production-ready solutions

  • Build production AI/ML pipelines, CI/CD workflows, and MLOps capabilities

  • Serve as the primary technical contact for AI/ML matters with customers

From the employer’s posting
Provide technical leadership, mentorship, and guidance to AI/ML engineering teams
Develop and communicate AI/ML strategies and technical roadmaps aligned with customer and mission requirements
Transform research prototypes into secure, scalable, production-ready enterprise solutions
Develop production-grade AI/ML pipelines, CI/CD workflows, and MLOps capabilities
Serve as the primary point of contact (POC) for all AI/ML-related technical matters with customers and stakeholders

What you’ll bring

All qualifications

Core experience

  • 17 years with a Bachelor’s degree in Computer Science, Engineering, Data Science, Advanced Mathematics, or related technical field, or 10 years with a Master's Degree in Computer Science, Engineering, Data Science, Advanced Mathematics, or related technical field, or 7 years with a Ph.D in Computer Science, Engineering, Data Science, Advanced Mathematics, or related technical field
  • Strong proficiency with Python and AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras
  • Experience with cloud platforms including AWS, Azure, or Google Cloud Platform
  • Experience with MLOps, CI/CD pipelines, Docker, Kubernetes, and distributed systems
  • Strong understanding of data pipelines, model lifecycle management, and scalable AI architectures
  • Experience operating within Agile or DevSecOps environments

Preferred experience

  • Experience supporting Intelligence Community (IC), DoD, or federal government programs
  • Experience with Large Language Models (LLMs), Generative AI, RAG architectures, and vector databases
  • Familiarity with AI governance, explainable AI (XAI), and responsible AI practices
  • Experience with Spark, Kafka, Hadoop, or GPU-enabled distributed computing platforms
Qualification wording
17 years with a Bachelor’s degree in Computer Science, Engineering, Data Science, Advanced Mathematics, or related technical field, or 10 years with a Master's Degree in Computer Science, Engineering, Data Science, Advanced Mathematics, or related technical field, or 7 years with a Ph.D in Computer Science, Engineering, Data Science, Advanced Mathematics, or related technical field
Strong proficiency with Python and AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras
Experience with cloud platforms including AWS, Azure, or Google Cloud Platform
Experience with MLOps, CI/CD pipelines, Docker, Kubernetes, and distributed systems
Strong understanding of data pipelines, model lifecycle management, and scalable AI architectures
Experience operating within Agile or DevSecOps environments
Experience supporting Intelligence Community (IC), DoD, or federal government programs
Experience with Large Language Models (LLMs), Generative AI, RAG architectures, and vector databases
Familiarity with AI governance, explainable AI (XAI), and responsible AI practices
Experience with Spark, Kafka, Hadoop, or GPU-enabled distributed computing platforms
Education & alternatives
Required Qualifications - 17 years with a Bachelor’s degree in Computer Science, Engineering, Data Science, Advanced Mathematics, or related technical field, or 10 years with a Master's Degree in Computer Science, Engineering, Data Science, Advanced Mathematics, or related technical field, or 7 years with a Ph.D in Computer Science, Engineering, Data Science, Advanced Mathematics, or related technical field - Strong proficiency with Python and AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras
Apply at Peraton

Posting record

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Open 5 monthsWe first saw this posting 163 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
Jun 3, 2026163 days ago
Recorded sightings
156
Last seen by us
Nov 13, 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

Higher than most similar jobs

$229K–$366K 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 163

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.

  • Python
  • AWS
  • Azure
  • Docker
  • Hadoop
  • Kafka
  • Kubernetes
  • Spark
  • Keras
  • PyTorch
  • scikit-learn
  • TensorFlow
  • GCP
Where the posting names them
- 17 years with a Bachelor’s degree in Computer Science, Engineering, Data Science, Advanced Mathematics, or related technical field, or 10 years with a Master's Degree in Computer Science, Engineering, Data Science, Advanced Mathematics, or related technical field, or 7 years with a Ph.D in Computer Science, Engineering, Data Science, Advanced Mathematics, or related technical field - Strong proficiency with Python and AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras - Experience with cloud platforms including AWS, Azure, or Google Cloud Platform
- Strong proficiency with Python and AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras - Experience with cloud platforms including AWS, Azure, or Google Cloud Platform - Experience with MLOps, CI/CD pipelines, Docker, Kubernetes, and distributed systems
- Experience with cloud platforms including AWS, Azure, or Google Cloud Platform - Experience with MLOps, CI/CD pipelines, Docker, Kubernetes, and distributed systems - Strong understanding of data pipelines, model lifecycle management, and scalable AI architectures
- Familiarity with AI governance, explainable AI (XAI), and responsible AI practices - Experience with Spark, Kafka, Hadoop, or GPU-enabled distributed computing platforms Benefits: Peraton offers enhanced benefits to employees supporting this critical National Security program, which include heavily subsidized employee benefits coverage for you and your dependents, 25 days of PTO accrued annually up to a generous PTO cap, and eligibility to participate in an attractive bonus plan.

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

Position Overview

We are seeking a highly skilled AI/ML Engineer Technology Lead to design, development, and deployment of advanced Artificial Intelligence and Machine Learning solutions supporting mission-critical enterprise initiatives. This role serves as the technical lead for enterprise AI/ML efforts, responsible for building, growing, and guiding a team of AI/ML engineering and practitioners. This individual collaborates with customer technical leadership to define and realize their AI/ML roadmap and is expected to bring both deep technical expertise and the business acumen necessary to develop strategy, manage stakeholder relationships, and scale a high-performing team.

 

The ideal candidate combines deep expertise in machine learning, software engineering, cloud-native technologies, and MLOps with strong leadership and customer engagement skills. This individual will help transform AI/ML prototypes into scalable, secure, production-ready enterprise solutions while mentoring technical teams and collaborating with customer leadership.

Key Responsibilities – AI/ML Technical Leadership

Technical Leadership & Strategy

  • Serve as the primary point of contact (POC) for all AI/ML-related technical matters with customers and stakeholders
  • Lead the design, development, testing, deployment, and productization of AI/ML technologies supporting mission-critical objectives
  • Develop and communicate AI/ML strategies and technical roadmaps aligned with customer and mission requirements
  • Advise leadership on emerging AI/ML technologies, research areas, and industry advancements
  • Represent AI/ML capabilities during customer engagements, briefings, demonstrations, and technical reviews
  • Provide technical leadership, mentorship, and guidance to AI/ML engineering teams
  • Support workforce planning, staffing strategy, hiring, and professional development initiatives

AI/ML Engineering & Development

  • Design, develop, and optimize scalable machine learning and deep learning models for structured and unstructured data
  • Transform research prototypes into secure, scalable, production-ready enterprise solutions
  • Support NLP, predictive analytics, anomaly detection, computer vision, and generative AI initiatives
  • Evaluate and productize AI/ML models across commercial and government cloud architectures
  • Integrate AI/ML solutions across enterprise systems, data platforms, and operational environments
  • Ensure AI/ML solutions meet performance, scalability, reliability, and operational requirements

Cloud, MLOps & Enterprise Integration

  • Develop production-grade AI/ML pipelines, CI/CD workflows, and MLOps capabilities
  • Provide system integration oversight across AI/ML pipelines and enterprise platforms
  • Collaborate with software engineers, cloud architects, cybersecurity teams, and customer stakeholders
  • Support deployment and optimization of AI/ML solutions across cloud-native and distributed environments
  • Evaluate emerging technologies and align technical solutions with operational and enterprise objectives

 

 

#ClearedRoyalty 

#MDFSP

#peratonroyalmove

Qualifications

Core Competencies

  • AI/ML Technical Leadership
  • Cloud & Enterprise Architecture
  • MLOps & Production AI Systems
  • Team Building & Mentorship
  • Strategic Problem Solving
  • Mission-Focused Innovation
  • Cross-Functional Collaboration

 

Required Qualifications

 

  • 17 years with a Bachelor’s degree in Computer Science, Engineering, Data Science, Advanced Mathematics, or related technical field, or 10 years with a Master's Degree in Computer Science, Engineering, Data Science, Advanced Mathematics, or related technical field, or 7 years with a Ph.D in Computer Science, Engineering, Data Science, Advanced Mathematics, or related technical field
  • Strong proficiency with Python and AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras
  • Experience with cloud platforms including AWS, Azure, or Google Cloud Platform
  • Experience with MLOps, CI/CD pipelines, Docker, Kubernetes, and distributed systems
  • Strong understanding of data pipelines, model lifecycle management, and scalable AI architectures
  • Experience operating within Agile or DevSecOps environments
  • Excellent communication and stakeholder engagement skills
  • Active/current TS/SCI security clearance with a current polygraph is required.

Preferred Qualifications

  • Experience supporting Intelligence Community (IC), DoD, or federal government programs
  • Experience with Large Language Models (LLMs), Generative AI, RAG architectures, and vector databases
  • Familiarity with AI governance, explainable AI (XAI), and responsible AI practices
  • Experience with Spark, Kafka, Hadoop, or GPU-enabled distributed computing platforms

 

Benefits: Peraton offers enhanced benefits to employees supporting this critical National Security program, which include heavily subsidized employee benefits coverage for you and your dependents, 25 days of PTO accrued annually up to a generous PTO cap, and eligibility to participate in an attractive bonus plan.

 

Investing in Your Growth: Selected candidates may be eligible for enhanced professional development opportunities, including training, certification programs, and skill-building experiences tailored to individual strengths, career goals, and role-specific requirements.

Target Salary Range

$229,000 - $366,000. 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

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Pay
Target Salary Range $229,000 - $366,000. 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

Laurel, MD

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

Work authorization
- Excellent communication and stakeholder engagement skills - Active/current TS/SCI security clearance with a current polygraph is required. Preferred Qualifications

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