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Machine Learning Engineer Ts Sci Jobs (NOW HIRING)

Elder Research

Machine Learning Engineer

Chantilly, VA · On-site

Machine Learning Engineer General Information Requisition #728 Locations USA-VA-Chantilly Posting Date 07/24/2026 Security Clearance Required - TS/SCI + CI Poly Remote Type N/A Time Type Full time ...

Deloitte

Data Engineer | TS/SCI Required

Tampa, FL · On-site

$108K - $129K/yr

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Machine Learning Engineer Ts Sci information

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$31.5K

$128.8K

$193.5K

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

As of Jul 31, 2026, the average yearly pay for machine learning engineer ts sci in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 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.

More about Machine Learning Engineer Ts Sci jobs
What cities are hiring for Machine Learning Engineer Ts Sci jobs? Cities with the most Machine Learning Engineer Ts Sci job openings:
What states have the most Machine Learning Engineer Ts Sci jobs? States with the most job openings for Machine Learning Engineer Ts Sci jobs include:
What job categories do people searching Machine Learning Engineer Ts Sci jobs look for? The top searched job categories for Machine Learning Engineer Ts Sci jobs are:
Machine Learning Engineer Ts Sci jobs near you
Infographic showing various Machine Learning Engineer Ts Sci job openings in the United States as of July 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.

Machine Learning Engineer

Elder Research

Chantilly, VA

Full-time

Posted 6 days ago

Job description

Machine Learning Engineer

General Information

Requisition #728

Locations USA-VA-Chantilly

Posting Date 07/24/2026

Security Clearance Required - TS/SCI + CI Poly

Remote Type N/A

Time Type Full time

Description & Requirements

Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Machine Learning Engineer to join our team in Chantilly, VA.

Responsibilities include but are not limited to:

  • Build and deploy AI agents to both automate and optimize labor intensive workflows, as well as empowering the human workforce to discover entirely new capabilities.

  • Support program with R&D and customer-facing goals, to speed the transition of novel applied research and solutions development into impact on contract.

  • Create software to support AI agent communication, connecting models and agents to external services via API calls, testing and debugging tasks, deploying into target environments, setting up monitoring, and ensuring reliable execution of agentic AI systems.

  • Utilize a combination of open-source models, agentic tools, and large proprietary commercial models.

  • Develop novel approaches to securing agentic workflows and to evaluating the results for accuracy, performance, and impact.

  • Ensure AI systems adhere to ethical guidelines, transparency, and fairness principles.

  • Solid understanding and hands-on experience with generative AI models including prompt engineering, chain-of-thought reasoning, and Natural Language Processing (NLP) tasks such as entity extraction, summarization, and semantic search.

Minimum Qualifications:

  • Active U.S. Government Security Clearance at the TS/SCI level with CI polygraph.

  • Minimum 3 years of experience with a Bachelor’s degree

  • Proficiency in Python and SQL

  • Familiarity with Javascript, Containerization (Docker/ Rocky Linux)

  • Familiarity with developing & managing API endpoints (Rest and FastAPI)

  • Familiarity with developing agenticAI workflows/systems

    • Langchain, LangGraph, OpenAI Agents, Pydontic

    • UVicorn (webserver)

  • Streamlit (web apps)

Preferred Qualifications:

  • Familiarity with Multi-agent orchestration

  • Familiarity with Cybersecurity (Mandiant)

  • AWS Cloud experience

  • Experience with Graph Analysis

  • Security Plus

Clearance Requirements:

  • Must have an active TS/SCI + Poly

Physical Requirements:

  • The person in this position must be able to remain in a stationary position 50% of the time. Occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, via email, phone, and or virtual communication, which may involve delivering presentations.

About Elder Research, Inc - People Centered. Data Driven

Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.

If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.

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