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Machine Learning Engineer Ts Sci Jobs in Reston, VA

Phase2 Technology

Machine Learning Engineer

Alexandria, VA · On-site

$77K - $176K/yr

... data science, or machine learning engineering, including developing and deploying models ... TS/SCI clearance * Bachelor's degree Nice If You Have * Experience with generative and agentic AI ...

New

NT Concepts

Machine Learning Engineer

Chantilly, VA · On-site +1

We are seeking a Machine Learning Engineer with a passion for building mission-critical ... Active TS/SCI required (CI Polygraph preferred or must be eligible to obtain) Location/Flexibility:

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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 Sep 12, 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 is a machine learning engineer TS SCI?

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 TS SCI?

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 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 are popular job titles related to Machine Learning Engineer Ts Sci jobs in Reston, VA?

For Machine Learning Engineer Ts Sci jobs in Reston, VA, the most frequently searched job titles are:

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:

Machine Learning Engineer Ts Sci jobs near you
Infographic showing various Machine Learning Engineer Ts Sci job openings in Reston, VA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 22% Part Time, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $133,966 per year, or $64.4 per hour.

Machine Learning Engineer

Alexandria, VA • On-site

Phase2 Technology
Software Development • 51 - 200 employees
Learn more about Phase2 Technologyexternal

$77K - $176K/yr

Other

Posted yesterday

New

Job description

Job #: R0242766

Opportunity

As an experienced AI and ML engineer, you will train, test, deploy, and maintain models that learn from data. You will own and define the direction of mission‑critical solutions, collaborate with data engineers, data scientists, solutions architects, and product owners to deliver world‑class AI solutions, and guide clients navigating the landscape of ML algorithms, tools, and frameworks.

You Have
  • 2+ years of experience with artificial intelligence, data science, or machine learning engineering, including developing and deploying models
  • Experience with Python coding and libraries, including scikit‑learn, TensorFlow, or PyTorch
  • Experience with developing code using a common programming language, including Python, C++, Rust, or Java
  • Experience with deep learning, computer vision, or generative AI
  • Experience with data handling and model development
  • Experience with leveraging AI productivity tools for coding, such as Cursor
  • Ability to solve client issues and problems
  • TS/SCI clearance
  • Bachelor's degree
Nice If You Have
  • Experience with generative and agentic AI technologies, such as LLMs, MCP, LangChain, or LangGraph
  • Experience with supervised and unsupervised learning
Clearance

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

Compensation

Salary range: $77,600.00 to $176,000.00 (annualized USD).

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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