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Machine Learning Engineer Ts Sci Jobs in Reston, VA

Infrastructure Engineer - TS/SCI

Bethesda, MD · On-site

$114K - $150K/yr

Description Infrastructure Engineer - TS/SCI Xcelerate Solutions is currently seeking ... We leverage cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross ...

Machine Learning Engineer- Senior

Chantilly, VA · On-site

$125K - $165K/yr

Overview SOSi is seeking a skilled Machine Learning Engineer to support a US government customer in ... Existing TS/SCI (with poly). This security clearance requires U.S. citizenship. Candidates will not ...

Machine Learning Engineer- Senior

Chantilly, VA · On-site

$125K - $165K/yr

Overview SOSi is seeking a skilled Machine Learning Engineer to support a US government customer in ... Existing TS/SCI (with poly). This security clearance requires U.S. citizenship. Candidates will not ...

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Machine Learning Engineer Ts Sci information

See Reston, VA salary details

$32.8K

$134K

$201.3K

How much do machine learning engineer ts sci jobs pay per year?

As of Jul 13, 2026, the average yearly pay for machine learning engineer ts sci in Reston, VA is $133,966.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,600.00 and $161,300.00 per year, depending on experience, location, and employer.

What are Machine Learning Engineer TS/SCI positions?

Machine Learning Engineer TS/SCI positions are specialized roles where engineers design, develop, and implement machine learning models and systems, often for government or defense projects that require a Top Secret/Sensitive Compartmented Information (TS/SCI) security clearance. These professionals work on advanced AI algorithms, data processing, and secure software, ensuring that sensitive information is protected throughout the process. They collaborate with data scientists, software developers, and security experts to solve complex problems using data-driven approaches while adhering to strict security protocols.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer with TS/SCI clearance, and why are they important?

To thrive as a Machine Learning Engineer with TS/SCI clearance, you need strong skills in machine learning algorithms, programming (Python, R), data analysis, and a relevant degree in computer science or a related field, along with active TS/SCI security clearance. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (AWS, Azure), and knowledge of secure data handling are commonly required. Excellent problem-solving, teamwork, and clear communication are vital soft skills for collaborating on complex, sensitive projects. These skills ensure effective development of secure, high-impact AI solutions in environments where data protection and analytical precision are critical.

What are some common challenges faced by Machine Learning Engineers with TS/SCI clearance in day-to-day work?

Machine Learning Engineers with TS/SCI clearance often encounter unique challenges, such as working with highly sensitive data in secure environments, which can limit access to certain tools or cloud resources. Collaboration is often restricted to cleared team members, and sharing findings externally is not permitted. Additionally, projects may have ambiguous requirements due to their classified nature, requiring strong problem-solving skills and adaptability. However, these roles offer the chance to work on impactful projects with significant national security implications, providing both technical and professional growth.

What is the difference between Machine Learning Engineer Ts Sci vs Data Scientist?

AspectMachine Learning Engineer Ts SciData Scientist
Required CredentialsBachelor's or Master's in CS, Data Science, or related fields; certifications in ML or AIBachelor's or Master's in Statistics, Data Science, or related fields; certifications in data analysis or visualization
Work EnvironmentDevelops and deploys ML models, often in production environmentsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI firms, R&D departmentsFinance, healthcare, marketing, and tech sectors

While both roles require strong analytical skills and knowledge of machine learning, Machine Learning Engineer Ts Sci focuses on developing and deploying scalable ML models, whereas Data Scientists primarily analyze data to generate insights. The roles often overlap but differ in their core responsibilities and work environments.

What job categories do people searching Machine Learning Engineer Ts Sci jobs in Reston, VA look for? The top searched job categories for Machine Learning Engineer Ts Sci jobs in Reston, VA are:
What cities near Reston, VA are hiring for Machine Learning Engineer Ts Sci jobs? Cities near Reston, VA with the most Machine Learning Engineer Ts Sci job openings:
Cyber Security Project Engineer - TS/SCI FSP

Cyber Security Project Engineer - TS/SCI FSP

Tenica and Associates LLC

Herndon, VA • On-site

Full-time

Re-posted 27 days ago


Job description

Cyber Security Project Engineer TS/SCI FSP


Department: Government Customer- Herndon

Location: Herndon, VA


Cyber Security Project Engineer


ACTIVE TS/SCI CLEARANCE with FS poly REQUIRED TO BE CONSIDERED FOR THIS POSITION


The Cyber Security InfoSec Engineer provides IT security engineering, integration services and solutions. This includes malicious code detection, intrusion detection, and information security tool development and integration.


Qualifications:

Education and/or Experience :

  • Requires a minimum of three (3) years of experience specific to the skill
  • Bachelor's Degree
  • Active TS/SCI w/FS Poly

Geographic Location: Herndon, Virginia

Travel: Minimal


TENICA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.