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Machine Learning Engineer Ts Sci Jobs (NOW HIRING)

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MACHINE LEARNING ENGINEER

Huntsville, AL · On-site

Job Title MACHINE LEARNING ENGINEER Location Huntsville, AL US (Primary) Category Engineering Job ... Must be a US citizen and be able to obtain and hold an active TS/SCI Clearance with CI Polygraph.

Kitware

Machine Learning Engineer

New York, NY · On-site

$85K - $125K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... If not already cleared TS/SCI, willingness and ability to apply for and maintain a TS/SCI security ...

Kitware

Machine Learning Engineer

Clifton Park, NY

$85K - $125K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... If not already cleared TS/SCI, willingness and ability to apply for and maintain a TS/SCI security ...

Kitware

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... If not already cleared TS/SCI, willingness and ability to apply for and maintain a TS/SCI security ...

Kitware

Machine Learning Engineer

Clifton Park, NY

Machine learning experience using visual data * Understanding of a variety of machine learning ... If not already cleared TS/SCI, willingness and ability to apply for and maintain a TS/SCI security ...

Kitware

Machine Learning Engineer

Arlington, VA · Hybrid

Machine learning experience using visual data * Understanding of a variety of machine learning ... If not already cleared TS/SCI, willingness and ability to apply for and maintain a TS/SCI security ...

Kitware

Machine Learning Engineer

Arlington, VA · On-site

$110K - $160K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... If not already cleared TS/SCI, willingness and ability to apply for and maintain a TS/SCI security ...

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

As of Jun 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.

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Machine Learning Engineer Ts Sci jobs near you
Machine Learning Engineer

Machine Learning Engineer

Shield Consulting Solutions, Inc.

Annapolis Junction, MD • On-site

Full-time

Posted 4 days ago

Job description

Job Summary:
Shield Consulting Solutions, Inc. is seeking a Machine Learning Engineer. The role involves selecting data sets, performing statistical analysis, and running machine learning algorithms to improve models and ensure system integration oversight.
Responsibilities:
• Select appropriate data sets
• Perform statistical analysis
• Run machine learning algorithms
• Use results to improve models
• Train and retrain systems when needed
• Experience in working with various ML libraries and packages
• Run standard test and evaluation protocols
• Provide system integration oversight
• Oversee Test and evaluation of AI and ML algorithms through an iterative design process to meet verification and validation requirements
• Research and implement a broad range of AI and ML algorithms and tools
• Design or Select appropriate data and knowledge representation methods
• Recognize software architecture, data modelling, and data structures
• Transform and convert data science prototypes into scalable solutions
• Verify data and model output quality
• Identify differences in data distribution that affect model performance
Qualifications:
Required:
• Active TS/SCI w/Polygraph REQUIRED
• Experience with standard machine language frameworks, e.g. Pytorch, TensorFlow.
• A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university.
• 5 years’ experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required.
• 5 additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree.
Company:
Shield Consulting Solutions Incorporated is a veteran-owned small government contractor that was formed in 2002 with the idea that a small company can provide affordable and agile capabilities to our clients. Founded in 2004, the company is headquartered in Columbia, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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