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Machine Learning Engineer Ts Sci Jobs in Reston, VA

VMD Corp

Software Engineer - TS/SCI

Bethesda, MD · On-site +1

Description Software Engineer - TS/SCI Xcelerate Solutions has an exciting opening for you as our ... Al), machine learning (ML) and cross-domain transfer systems. Come join our award-winning ...

VMD Corp

Senior Software Engineer - TS/SCI

Bethesda, MD · On-site

$130K - $172K/yr

Description Senior Software Engineer - TS/SCI Xcelerate Solutions is seeking a TS/SCI cleared ... AI), machine learning (ML), and cross-domain transfer systems. Come join our award-winning ...

aqua IT

Machine Learning Engineer

Herndon, VA

... Active TS/SCI required - Bachelor's degree or above in Science, Technology, Engineering, or ... of machine learning/statistical modeling data analysis tools and techniques Preferred ...

Aqua IT

Machine Learning Engineer

Springfield, VA · On-site

... Active TS/SCI required * - Bachelor's degree or above in Science, Technology, Engineering, or ... of machine learning/statistical modeling data analysis tools and techniques Preferred ...

SAIC

AI/Machine Learning Engineer Principal

Chantilly, VA · On-site

$120K - $160K/yr

TS.SCI_wPoly Clearance Level Must Be Able to Obtain: None Potential for Remote Work: ORA_ON_SITE Description SAIC seeks an Artificial Intelligence/Machine Learning Systems Engineer to join our team ...

SAIC

AI Machine Learning Developer Principal

Chantilly, VA · On-site +1

$160K - $200K/yr

Machine Learning Engineer Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum Clearance Required: TS.SCI Clearance Level Must Be Able to Obtain: None Potential for Remote Work:

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Machine Learning Engineer Ts Sci information

See Reston, VA salary details

$32.8K

$134K

$201.3K

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

As of Sep 12, 2026, the average yearly pay for machine learning engineer ts sci in Reston, VA is $133,966.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,600.00 and $161,300.00 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.

What are popular job titles related to Machine Learning Engineer Ts Sci jobs in Reston, VA?

For Machine Learning Engineer Ts Sci jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer Ts Sci jobs in Reston, VA look for?

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What cities near Reston, VA are hiring for Machine Learning Engineer Ts Sci jobs?

Cities near Reston, VA with the most Machine Learning Engineer Ts Sci job openings:

Machine Learning Engineer Ts Sci jobs near you
Infographic showing various Machine Learning Engineer Ts Sci job openings in Reston, VA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 22% Part Time, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $133,966 per year, or $64.4 per hour.

Software Engineer - TS/SCI

Bethesda, MD • On-site

Xcelerate Solutions
Business Management Consulting • 201 - 500 employees
Learn more about Xcelerate Solutionsexternal

Full-time

Re-posted 21 days ago

Key responsibilities

  • Design, develop, test, and maintain Python microservices.

  • Implement message consumers and producers with Apache Kafka, and integrate with Elasticsearch for data indexing and querying.

  • Build CI/CD pipelines, deploy services in Kubernetes, and monitor and troubleshoot production issues.

Job description

Description
Software Engineer - TS/SCI
Xcelerate Solutions has an exciting opening for you as our next TS/SCI cleared Software Engineer supporting a long-term DIA-NDOC DOMEX Technology Platform (DTP) contract. You will work closely with Systems Engineers, Software Engineers, Architects, and Operations Engineering/Manager on a broad scope of activities extending across the development of systems to include middle-tier and backend engineering tasks. Have impact as part of a mission focused, solutions oriented, and adaptive team that values innovation, collaboration, and professional development. While most work is conducted on-site at our client location in Bethesda, MD, we offer a flexible schedule and, occasionally, some tasks may be performed remotely. The percentage of remote work will vary based on client requirements/deliverables.
Specifically, we are looking for a skilled Python developer to join our team to build and maintain scalable microservices that interface with Kafka for real-time messaging and Elasticsearch for data indexing and search. You'll deploy and monitor your services in a Kubernetes environment and collaborate with cross-functional teams in designing reliable, observable, and secure systems. Our client's overall mission is to design and implement a data centric architecture that leverages cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems. Come join our award-winning organization and work with some of the most talented and brightest minds in the GovCon industry.
Clearance:
TS/SCI
Location:
Bethesda, MD
Responsibilities:
  • Design, develop, test, and maintain Python microservices
  • Implement message consumers and producers with Apache Kafka
  • Integrate with Elasticsearch for real-time and batch data indexing and querying
  • Write unit and integration tests; ensure high code coverage and reliability
  • Build CI/CD pipelines for your services and deploy them in Kubernetes clusters
  • Participate in design discussions, code reviews, and architecture planning
  • Monitor and troubleshoot production issues with observability tools
  • Contribute to technical documentation and knowledge sharing within the team
  • Utilizes software engineering and design methodologies appropriate to the development, integration, and production environment
  • Foster an environment of collaboration with the different team members in the goal of providing quality service and product to our customers

Minimum Requirements:
  • Bachelor's Degree and 4-8 years of prior relevant experience or Masters with 2-6 years of prior relevant experience
  • Must possess an Active Top Secret/SCI clearance and ability to obtain and maintain a Polygraph
  • Proficiency in Python and related backend frameworks (e.g., FastAPI, Flask).
  • Experience with containerization, especially with Docker
  • Experience in Extraction, Transformation, and Load (ETL)
  • Hands-on development experience in a Linux environment including bash or bash-like scripting
  • Strong understanding of RESTful APIs and microservice architecture
  • Hands-on experience with Kubernetes: deploying, monitoring, and debugging services
  • Understanding of common design patterns, security practices, and logging/monitoring principles
  • Familiarity with Git and collaborative workflows (PRs, reviews)
  • Experience with DevOps practices and tools including Continuous Integration/Continuous Delivery (CI/CD) tools and practices, especially Gitlab or Jenkins
  • Strong verbal and written communication skills
  • Experience with AGILE practices
  • Enthusiastic with the ability to work well in a team and a self-starter who can work on their own

Preferred Qualification:
  • Experience with designing and implementing software development kits
  • Familiarity DGX (Deep GPU Xceleration)
  • Active Security+ certification and ability to obtain Privileged User Account (PUA) certification by the Government
  • Elasticsearch certifications or other program stack related certifications
  • Experience of a production/enterprise systems at scale
  • Knowledge of distributed systems concepts (e.g., idempotency, eventual consistency)
  • Familiarity with schema registries and Kafka streaming patterns
  • Experience blending analytical methodologies and leveraging existing COTS/GOTS/OS tools in an unconventional manner.
  • Experience with Amazon Web Services (AWS/C2S)
  • Familiarity or experience with building applications around Large Language Models, Agentic AI

About Xcelerate Solutions:
Founded in 2009 and headquartered in McLean, VA, Xcelerate Solutions (www.xceleratesolutions.com) is one of America's fastest-growing companies. Xcelerate's culture is defined by our diversified workforce of dynamic and versatile professionals, supported with growth and development opportunities that contribute to individual and company growth. This strong commitment to our employees has been recognized by our inclusion on the Washington Business Journal's "50 Best Places to Work" list as well as being a "Great Place to Work" certified company with a 4.6 star, and a 99% CEO approval Glassdoor rating. Come find out why Xcelerate Solutions is one of the DC Metro top employers!
Xcelerate Solutions is an Equal Employment Opportunity/Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, age, equal pay, disability, veteran status, sex, sexual orientation, gender identity, genetic information, or expression of another protected characteristic. As part of this commitment to the full inclusion of all qualified individuals, Xcelerate provides reasonable accommodations if needed because of an applicant's or an employee's disability.
Pay Transparency Notice: Xcelerate Solutions will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant.

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