Top 1659 Machine learning engineer Jobs in Temple Hills Md

Systems Data Engineering and Integrator
CACI —Suitland, MD
- $103,800 - $218,100 a year
- Full-time
- Computer Science
- 5 years
- Data analysis skills
- Health insurance
AI/ML Engineer (SME)
Vantor Services Inc. —Washington, DC
- $161,000 - $269,000 a year
- Full-time
- Azure
- System design
- 11+ years
- 401(k) matching
- Pet insurance
Quick Apply
AI & ML Engineer
Glint Tech Solutions LLC —Washington, DC
- Java
- SQL
- Senior level
Quick Apply
Backend Software Engineer - AI Trainer
DataAnnotation —Rosslyn, VA
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
Quick Apply
Senior Site Reliability Engineer, Kubernetes w/ active TS/SCI
Okta —Washington, DC
- $147,000 - $202,000 a year
- On call
- Hybrid work
- Computer science
- Computer Science
- 5 years
Quick Apply
Machine Learning / Data Scientist
Parsons —Washington, DC
- $88,400 - $154,700 a year
- Computer Science
- 5 years
- Office
- Wellness program
- Paid holidays
Machine Learning Engineer - Computer Vision
Finalcover LLC —Arlington, VA
- $80,000 - $110,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Mid-level
- Paid holidays
- Health insurance
Quick Apply
Junior Data Engineer
IdeaCrew —Washington, DC
- $100,000 - $120,000 a year
- Full-time
- Remote
- Computer science
- Azure
- Computer Science
- Health insurance
- Paid time off
Expert Consultant, Coro, AI Engineer
Bain & Co. —Washington, DC
- $128,500 - $171,500 a year
- Full-time
- Computer science
- Azure
- Computer Science
- Wellness program
- Paid holidays
Quick Apply
Senior Agentic AI/ML Engineer
General Dynamics Information Technology —Arlington, VA
- $170,000 - $230,000 a year
- Computer science
- Computer Science
- Office
- Paid time off
- 401(k) matching
Data Scientist
Agile Defense —Washington, DC
- $130,000 - $155,000 a year
- Azure
- Mid-level
- Office
- Paid holidays
- Disability insurance
Quick Apply
Solutions Architect, People Technology
Okta —Washington, DC
- $199,000 - $273,900 a year
- Hybrid work
- 11+ years
- Mentoring
- Fair chance
Quick Apply
Senior Agentic AI/ML Engineer
General Dynamics Information Technology —Arlington, VA
- $170,000 - $230,000 a year
- Computer science
- Computer Science
- Office
- Paid time off
- 401(k) matching
Staff Data Engineer (Auth0)
Okta —Washington, DC
- $174,000 - $238,700 a year
- Hybrid work
- System design
- HIPAA
- 8 years
Quick Apply
Senior Software Engineer (Gen AI)
Freddie Mac —McLean, VA
- $129,000 - $193,000 a year
- Full-time
- Computer science
- Azure
- Computer Science
Data Engineer
VISTA Technology Services —Springfield, VA
- $150,000 - $195,000 a year
- Computer Science
- Java
- 8 years
- Disability insurance
- Health insurance
1d
GENAI / MACHINE LEARNING AI / DATA Scientist
Hudson Manpower —Maryland
- Full-time
- Remote
- Senior level
Quick Apply
GENAI / MACHINE LEARNING AI / DATA Scientist
Hudson Manpower —McLean, VA
- Full-time
- Remote
- Senior level
Quick Apply
Senior Lead Machine Learning Engineer
Capital One —McLean, VA
- Email
- Azure
- Doctoral degree
- Computer Science
- Health insurance
Software Engineer
National Security Agency —Fort Meade, MD
- $105,262 - $192,764 a year
- 8 hour shift
- Doctoral degree
- Computer Science
- No experience needed
9d

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machine learning engineer jobs near temple hills md

Systems Data Engineering and Integrator

CACI -
Suitland, MD

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Job Details

Full-time
$103,800 - $218,100 a year

Benefits

Health insurance

Qualifications

Data structures
Data analysis skills
DoD 8570
IAT
Cross-functional collaboration
IAT Level II

Full Job Description

Job ID

328139

Job Title: Systems Data Engineering and Integrator

Job Category: Information Technology

Time Type: Full time

Minimum Clearance Required to Start: TS/SCI

Employee Type: Regular

Percentage of Travel Required: Up to 10%

Type of Travel: Local

* * *

The Opportunity
Are you an engineer who thrives on building secure, automated pipelines—and who enjoys diving deep into data to uncover patterns, gaps, and opportunities for improvement? CACI is seeking a highly motivated Systems Integration & Data Pipeline Engineer with an active TS/SCI clearance to support a flagship data‑modernization and AI/ML‑enablement effort within the Department of Defense (DoD) and Intelligence Community (IC).

In this hybrid engineering and analytical role, you will design and deploy modern data pipelines, transform static datasets into AI‑ready assets, and build automated quality‑readiness scorecards that drive mission‑critical decisions. You will assess full data lifecycles, identify performance and lineage gaps, and collaborate directly with Data Scientists to ensure data is optimized for high‑value AI/ML workloads.

This position requires 100% onsite work in a secure facility, with approximately 10% local travel to customer locations.

Key Responsibilities

Build and Optimize Modern Data Pipelines : Design, engineer, test, and maintain automated ETL/ELT pipelines that transition data from siloed legacy systems into secure, scalable, high‑performance environments.
Conduct End-to-End Systems Analysis : Evaluate the full data journey—from ingestion to consumption—identifying performance bottlenecks, lineage gaps, and infrastructure constraints. Deliver clear engineering recommendations that strengthen reliability and throughput.
Collaborate Directly With Data Scientists : Translate analytical and machine learning requirements into pipeline and system enhancements. Shape the data environments that fuel next‑generation AI/ML models.
Implement Automated Data Quality Gateways : Develop code‑driven readiness gates that enforce strict data quality standards, including Accuracy, Completeness, Consistency, Timeliness, and Validity.
Support AI/ML Tooling and Infrastructure : Build data storage, orchestration, and feature‑generation pipelines that prepare datasets for training, testing, and deploying advanced ML models.
Integrate Systems and Modernize Platforms : Develop APIs, connectors, orchestration processes, and system‑to‑system integrations that unify previously disconnected platforms into a cohesive, self‑service data ecosystem.
Enforce IC and DoW Data Standards : Implement schemas, metadata tagging strategies, and automated formatting rules to ensure all ingested data complies with Intelligence Community and Department of War specifications.
Document Technical Architecture and Flows : Create clean, version‑controlled documentation covering pipeline architecture, system configurations, API mappings, and data lineage diagrams.

Required Qualifications

Active TS/SCI Clearance : A current, verifiable DoD TS/SCI clearance is required prior to onboarding.
Education : Bachelor’s degree in an engineering or technical discipline such as Computer Science, Systems Engineering, Data Engineering, Software Engineering, or Information Systems.
Experience : At least 5 years of hands‑on experience in data engineering, backend development, or systems integration—preferably within DoD or Intelligence Community environments.
Analytical Strength : Proven ability to analyze complex data ecosystems, assess infrastructure dependencies, and provide structured technical insights to cross‑functional teams.
Collaboration Skills : Demonstrated success partnering with Data Scientists, analysts, or AI/ML practitioners to deliver production‑ready, high‑quality data structures.
Certification : Current CompTIA Security+ CE or higher DoD 8570 IAT Level II certification.

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:

$103,800 - $218,100

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.

Apply Now

Refine Your Search

machine learning engineer jobs in temple hills md

Systems Data Engineering and Integrator

AI/ML Engineer (SME)

AI & ML Engineer

Backend Software Engineer - AI Trainer

Senior Site Reliability Engineer, Kubernetes w/ active TS/SCI

Machine Learning / Data Scientist

Machine Learning Engineer - Computer Vision

Junior Data Engineer

Expert Consultant, Coro, AI Engineer

Senior Agentic AI/ML Engineer

Data Scientist

Solutions Architect, People Technology

Senior Agentic AI/ML Engineer

Staff Data Engineer (Auth0)

Senior Software Engineer (Gen AI)

Data Engineer

GENAI / MACHINE LEARNING AI / DATA Scientist

GENAI / MACHINE LEARNING AI / DATA Scientist

Senior Lead Machine Learning Engineer

Software Engineer

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