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Machine Learning Engineer Ts Sci Jobs in Washington

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 ...

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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

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.

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What cities in Washington are hiring for Machine Learning Engineer Ts Sci jobs?

Cities in Washington with the most Machine Learning Engineer Ts Sci job openings:

Machine Learning Engineer Ts Sci jobs near you

Machine Learning Engineer (TS/SCI Clearance With Full Scope Polygraph Required)

Laurel, MD • On-site

J&T Business Consulting
See more jobs at J&T Business Consultingexternal

$206K - $248K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

Job description

Machine Learning Engineer (TS/SCI Clearance With Full Scope Polygraph Required)

Laurel, United States | Posted on 08/28/2026

Position: Software Engineer – Level 2 / Level 3

Location: Laurel, MD

Employment Type: Full-Time

Clearance Requirement: Active TS/SCI with Polygraph

Salary Range: $206,000 – $248,000 / year (dependent on experience, education, and skill set)

About the Role

Seeking an experienced Software Engineer (Level 2/3) to develop, prototype, and enhance compliance modernization analytics and business processing systems in Laurel, MD.

In this role, you will design and implement automated compliance tools, integrate machine learning algorithms, and conduct proof-of-concept research within an R&D environment. You will engineer predictive models, develop features, establish operational monitoring for deployed pipelines, and build data-driven tools that integrate with enterprise corporate platforms.

Key Responsibilities
  • Design, prototype, and maintain compliance automation tools and business processing analytics.
  • Implement, test, and validate machine learning and AI algorithms (e.g., Random Forest, GMLearn) within an R&D test environment.
  • Conduct Exploratory Data Analysis (EDA) and execute advanced feature engineering on complex datasets.
  • Build, deploy, and monitor machine learning models, data flows, and performance telemetry.
  • Integrate distributed MapReduce processing workflows (Ghostmachine) with backend data pipelines.
  • Develop full-stack and analytical software using Python, Java, Scala, Lucene, JEXL, SQL, and JSON within a Linux environment.
  • Collaborate using Jira, Confluence, Git/GitLab, and Bitbucket, maintaining comprehensive technical documentation and participating in peer reviews.
Required Qualifications & Experience

Security Clearance: Active TS/SCI with a current Polygraph.

Experience & Education:

Bachelor’s degree in Computer Science or a related discipline from an accredited institution plus at least 14 years of software engineering experience on programs of similar scope and complexity, OR

18 years of relevant software engineering experience without a degree (4 additional years substituting for the degree).

Programming & Environment: Advanced development experience using Python, Java, and/or Scala in Linux operating environments.

Machine Learning & Data Processing: Hands-on experience with Scikit-learn, Random Forest modeling, feature engineering, Jupyter Notebooks, Lucene, JEXL, SQL, JSON, and MapReduce distributed frameworks.

Development Tooling: Proficiency with IDEs (IntelliJ, Eclipse), version control (Git, GitLab, Bitbucket), and collaboration tools (Jira, Confluence).

Domain Knowledge: Familiarity with customer compliance authorities, enterprise corporate systems, and governance standards.

Desired Qualifications
  • Strong foundational background in Data Science and applied statistical analysis.
  • Experience deploying ML systems and pipelines to Amazon Web Services (AWS).
  • Hands-on experience with Apache Spark for distributed data processing.
  • Exposure to Large Language Models (LLMs), prompt engineering, and Agentic AI architectures.
Benefits & Compensation
  • Comprehensive Health, Dental, and Vision Insurance
  • Basic Life and Disability Insurance
  • Paid Time Off (PTO) and Paid Holidays
  • 401(k) Retirement Plan with Company Match
  • Tuition Reimbursement for ongoing education and professional development

An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected under federal, state, or local law.

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