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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 Aug 22, 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 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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Machine Learning Engineer Ts Sci jobs near you
Infographic showing various Machine Learning Engineer Ts Sci job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.

Machine Learning Engineer with Security Clearance

Stillwater Human Capital

Chantilly, VA • On-site

$179K - $236K/yr

Other

Re-posted 2 days ago

Job description

Machine Learning Engineer Location: Chantilly, VA Clearance: Active TS/SCI w/Polygraph The Opportunity Stillwater is searching for a Software Developer with expertise in artificial intelligence to join its dynamic team. This position centers on developing and implementing AI solutions to strengthen enterprise-level IT operations. The Machine Learning Engineer will collaborate closely with cross-functional teams to design, develop, and deploy AI-driven applications that enhance efficiency, automate processes, and deliver valuable insights. Responsibilities * Develop and maintain machine learning pipelines and applications using Python and contemporary machine learning frameworks. * Implement and optimize algorithms for integrating and deploying large language models (LLMs). * Build RESTful APIs and microservices to serve machine learning models in production environments. * Write clean, maintainable, and well-documented code, adhering to object-oriented programming principles. * Collaborate with cross-functional teams to understand requirements and convert them into technical solutions. * Manage training data, model artifacts, and application state using SQL, NoSQL, and vector databases. * Containerize machine learning applications with Docker to ensure consistent deployment across environments. * Use Git for version control and participate in code reviews to maintain code quality. * Conduct testing and debugging of machine learning applications to ensure reliability and accuracy. * Support the deployment and monitoring of AI and machine learning models in cloud environments. * Stay up to date with emerging trends in machine learning, LLMs, and AI engineering best practices. Qualifications Required * Active TS/SCI clearance with Poly. * Bachelor's degree in computer science, software engineering, data science, or a related technical field, plus five years of professional experience in software development or machine learning engineering. * Strong proficiency in Python programming, with a thorough understanding of object-oriented programming concepts, design patterns, data structures, and algorithms. * Experience with development tools and practices, including Git version control, Docker containerization, and database management (SQL and/or NoSQL). * Knowledge of large language model technologies, including familiarity with orchestration frameworks such as LangChain and LangGraph. * Understanding of retrieval-augmented generation (RAG) architectures and vector databases (including ChromaDB, Pinecone, Weaviate, or similar) for building intelligent retrieval systems. * Strong problem-solving skills, attention to detail, excellent communication abilities, and eagerness to learn within a collaborative team environment. Desired * Master's degree in computer science or a related field. * Experience with cloud platforms such as AWS, Azure, or Google Cloud, and knowledge of MLOps practices for machine learning model deployment and monitoring. * Experience with container orchestration and DevOps, including Kubernetes, Rancher, CI/CD pipelines, and infrastructure automation tools like Ansible. * Familiarity with enterprise platforms such as ServiceNow, SAP, Tableau, or Splunk. * Contributions to open-source machine learning projects and familiarity with Agile development methodologies. Salary Range: $179,000 - $236,200 The above salary range represents a general guideline. Stillwater considers a number of factors when determining base salary offers, such as the scope and responsibilities of the position and the candidate's experience, education, skills, and current market conditions. Depending on the position, employees may be eligible for overtime and/or discretionary bonuses in addition to base pay. Stillwater 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, disability, age, veteran status, or any other protected class. If you need assistance with the application process due to a disability, please contact us at 571-525 2482

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