Skip to main content
TryApplyNow logo
CACI logo

Machine Learning Engineer (Clearance Sponsorship)

CACI
Full Timemid
Chantilly, VA, US$113k – $238kPosted 5 weeks ago

Role Overview

CACI is hiring a mid-level Machine Learning Engineer (Clearance Sponsorship). This is a full-time role in Chantilly. Part of CACI's Data Science hiring. The posted range is $113k to $238k. Full responsibilities, required qualifications, and the apply link are listed in the description below.

Salary Context

This role offers $113k-$238k. The median for Mid-level Data Science roles is $122k-$175k (based on 99 listings). 18% above median.

Resume Keywords to Include

Make sure these keywords appear in your resume to improve ATS scoring

PythonSQLAWSAzureDockerKubernetesAnsibleGit

Job description

Job Title: Machine Learning Engineer (Clearance Sponsorship)

Job Category: Information Technology

Time Type: Full time

Minimum Clearance Required to Start: TS/SCI with Polygraph

Employee Type: Regular

Percentage of Travel Required: None

Type of Travel: None

* * *


The Opportunity:
CACI is seeking a Software Developer with AI experience to join our dynamic team. This role will focus on developing and implementing AI solutions to enhance our enterprise-level IT operations. The Developer will work closely with cross-functional teams to design, develop, and deploy AI-driven applications that improve efficiency, automate processes, and provide valuable insights.




Responsibilities:

CACI is seeking a Software Developer with AI experience to join our dynamic team. This role will focus on developing and implementing AI solutions to enhance our enterprise-level IT operations. The Developer will work closely with cross-functional teams to design, develop, and deploy AI-driven applications that improve efficiency, automate processes, and provide valuable insights.

Responsibilities:
Develop and maintain machine learning pipelines and applications using Python and modern ML frameworks
• Implement and optimize algorithms for large language model (LLM) integration and deployment
• Build RESTful APIs and microservices to serve ML models in production environments
• Write clean, maintainable, and well-documented code following object-oriented programming principles
• Collaborate with cross-functional teams to understand requirements and translate them into technical solutions
• Work with databases (SQL,NoSQL and Vector) to manage training data, model artifacts, and application state
• Containerize ML applications using Docker for consistent deployment across environments
• Utilize Git for version control and participate in code reviews to maintain code quality
• Conduct testing and debugging of ML applications to ensure reliability and accuracy
• Support the deployment and monitoring of AI/ML models in cloud environments
• Stay current with emerging trends in machine learning, LLMs, and AI engineering best practices

Required Qualifications:

• Must be able to obtain Active TS/SCI clearance with Poly
• Bachelor's degree in computer science, Software Engineering, Data Science, or related technical field with 5 years of professional experience in software development or machine learning engineering
• Strong proficiency in Python programming with solid understanding of object-oriented programming (OOP) concepts, design patterns, data structures, and algorithms
• Experience with development tools and practices including Git version control, Docker containerization, and database management (SQL and/or NoSQL)
• Knowledge of LLM technologies including exposure to Large Language Models, orchestration frameworks (LangChain, LangGraph),
• Understanding of RAG architectures and vector databases (ChromaDB, Pinecone, Weaviate, or similar) for building intelligent retrieval systems
• Strong problem-solving abilities, attention to detail, excellent communication skills, and eagerness to learn in a collaborative team environment

Desired Qualifications:
• Master's degree in computer science or related field
• Experience with cloud platforms (AWS, Azure, or Google Cloud) and knowledge of MLOps practices for ML model deployment and monitoring
• Experience with container orchestration and DevOps including Kubernetes, Rancher, CI/CD pipelines, and infrastructure automation tools like Ansible
• Familiarity with enterprise platforms such as ServiceNow, SAP, Tableau, or Splunk
• Contributions to open-source ML projects and familiarity with Agile development methodologies

 

-

What You Can Expect:

 A culture of integrity.

At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation.

An environment of trust.

CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.

A focus on continuous growth.

Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy.


Pay Range:

There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.

The proposed salary range for this position is:

$113,200 - $237,800

CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

About CACI

CACI logo

CACI

caci.com

Data ScienceOn-site

157 other open roles at CACI on TryApplyNow.

Frequently Asked Questions

How do I apply for the Machine Learning Engineer (Clearance Sponsorship) position at CACI?

Use the Apply button above to submit your application directly to CACI. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Where is the Machine Learning Engineer (Clearance Sponsorship) position at CACI located?

This position is based in Chantilly. CACI has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.

How much does the Machine Learning Engineer (Clearance Sponsorship) role at CACI pay?

CACI has posted a compensation range of $113k to $238k for this position. Final offers typically vary based on candidate experience, location, and internal salary bands.

When was the Machine Learning Engineer (Clearance Sponsorship) role at CACI posted?

This role was posted on June 13, 2026 (38 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.

AI-powered job search

Get every job scored to your resume

Upload your resume and get jobs ranked, your resume tailored, and employee contacts found automatically.

Get started free

No credit card to start