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Machine Learning Engineer

Reston, VA · On-site

TS/SCI w/ Full-Scope Poly Salary: Competitive We are seeking a highly skilled and motivated Machine Learning Engineer to join our dynamic team. The ideal candidate will have a strong background in ...

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Machine Learning Engineer Ts Sci information

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$193.5K

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

As of Jul 8, 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:
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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 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.

Machine Learning Engineer (TS/SCI)

Search Tactics LLC

Huntsville, AL • On-site

Other

Posted 6 days ago

New

Job description

Title: Machine Learning Engineer TS/SCI
Status: Full-Time
Location: Huntsville, Alabama

Position Overview

A growing defense-focused organization is seeking an experienced Machine Learning Engineer to support advanced intelligence and analytics initiatives in Huntsville, Alabama. This is an onsite role supporting mission-critical projects involving large-scale data processing, machine learning model deployment, and system integration.
This role is ideal for someone who thrives in highly secure environments and has experience taking machine learning solutions from concept through production deployment.

Key Responsibilities
  • Design and integrate machine learning systems with broader software platforms and infrastructure
  • Build and optimize data pipelines that support machine learning workflows
  • Transition machine learning prototypes into production-ready solutions
  • Develop deployment pipelines for machine learning models
  • Monitor model performance and address model drift, failures, and rollback scenarios
  • Conduct testing, experimentation, and documentation of model performance
  • Write clean, scalable, and maintainable code primarily in Python
  • Collaborate with technical teams to ensure machine learning solutions align with overall architecture
  • Support CI/CD workflows and GitOps practices
Technology Environment
  • Python
  • Docker
  • Jupyter Notebooks
  • PostgreSQL
  • GitLab
  • GitHub
  • SQL/NoSQL databases
  • Linux and Windows environments
Required Qualifications
  • Bachelor's degree in Computer Science, Statistics, Mathematics, Physics, or another quantitative discipline
  • Minimum of 12 years of overall professional experience
  • 1-3 years of hands-on experience working with machine learning frameworks
  • Strong programming experience in Python
  • Deep understanding of machine learning frameworks, libraries, data structures, and data modeling
  • Experience with SQL and NoSQL databases
  • Knowledge of CI/CD pipelines and Agile development methodologies
  • Understanding of software design principles and system integration
  • Active TS/SCI clearance with ability to obtain a CI Polygraph after onboarding
Preferred Qualifications
  • Master's degree in a related field with 12 years of experience
    OR
  • Bachelor's degree in a related field with 17 years of experience
  • Experience working with petabyte-scale datasets
  • Background in multi-source intelligence analytics
  • Experience deploying, monitoring, and scaling machine learning models in production environments
Key Skills Required
  • Machine Learning Model Deployment
  • Python Development
  • Data Pipeline Engineering
  • CI/CD Implementation
  • Cloud/Container Technologies
  • System Integration
  • Database Management

Apply