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Machine Learning Software Engineer Jobs in Virginia

Collaborate with a cross-functional team comprising other ML Engineers, Software Engineers, DevSecOps Engineers, and Data Scientists. * Develop machine learning models and pipelines that are integral ...

Strong understanding of data structures, algorithms, software engineering fundamentals, and distributed systems concepts. * Bachelor's degree in Computer Science, Machine Learning, Artificial ...

Design and implement Machine Learning algorithms and models into software solutions for our ... A blend of data engineering, machine learning, and product innovation skills that let you jump into ...

Machine Learning Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this ... Software Engineering, Electrical Engineering, Robotics, Computational Biology, Physics, ect.

Machine Learning Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this ... Software Engineering, Electrical Engineering, Robotics, Computational Biology, Physics, ect.

Machine Learning Engineer LOCATIONTysons, VA 22182 CLEARANCETS/SCI Full Poly (Please note this ... Software Engineering, Electrical Engineering, Robotics, Computational Biology, Physics, ect.

Machine Learning Engineer LOCATIONChantilly, VA 20151 CLEARANCETS/SCI Full Poly (Please note this ... Software Engineering, Electrical Engineering, Robotics, Computational Biology, Physics, ect.

Machine Learning Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this ... Software Engineering, Electrical Engineering, Robotics, Computational Biology, Physics, ect.

Machine Learning Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this ... Software Engineering, Electrical Engineering, Robotics, Computational Biology, Physics, ect.

Machine Learning Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this ... Software Engineering, Electrical Engineering, Robotics, Computational Biology, Physics, ect.

Machine Learning Engineer LOCATIONReston, VA 20190 CLEARANCETS/SCI Full Poly (Please note this ... Software Engineering, Electrical Engineering, Robotics, Computational Biology, Physics, ect.

Machine Learning Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this ... Software Engineering, Electrical Engineering, Robotics, Computational Biology, Physics, ect.

Strong understanding of data structures, algorithms, software engineering fundamentals, and distributed systems concepts. * Bachelor's degree in Computer Science, Machine Learning, Artificial ...

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How much do machine learning software engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for machine learning software engineer in Virginia is $146,258.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,000.00 and $171,500.00 per year, depending on experience, location, and employer.

What does a Machine Learning Software Engineer do?

A Machine Learning Software Engineer designs, develops, and deploys machine learning models within software applications. They work on data preprocessing, model training, optimization, and integration into production systems. Their role requires expertise in programming (Python, Java, or C++), machine learning frameworks (TensorFlow, PyTorch, or Scikit-learn), and cloud platforms. They collaborate with data scientists and software engineers to build scalable ML solutions.

What are the key skills and qualifications needed to thrive in the Machine Learning Software Engineer position, and why are they important?

To thrive as a Machine Learning Software Engineer, you need a solid understanding of programming (especially Python), algorithms, data structures, and mathematics, ideally backed by a degree in computer science, engineering, or a related field. Experience with frameworks such as TensorFlow or PyTorch, familiarity with cloud platforms (AWS, Azure, or GCP), and relevant certifications in data science or machine learning are highly valuable. Strong problem-solving skills, effective communication, and the ability to work collaboratively with cross-functional teams set outstanding candidates apart. These competencies are crucial for building deployable, scalable, and maintainable machine learning solutions that address real business challenges.

What are the day-to-day responsibilities of a Machine Learning Software Engineer?

As a Machine Learning Software Engineer, your daily tasks typically include developing and optimizing machine learning models, collaborating with data scientists and product teams to define requirements, and integrating models into production systems. You’ll work extensively with large datasets to preprocess, analyze, and validate data, as well as monitor model performance and iterate on solutions when needed. It's common to participate in code reviews, contribute to architectural decisions, and maintain documentation for reproducibility and knowledge sharing. This role offers a dynamic and intellectually stimulating environment, making it ideal for those who enjoy solving complex technical problems and working at the intersection of engineering and data science.

What cities in Virginia are hiring for Machine Learning Software Engineer jobs? Cities in Virginia with the most Machine Learning Software Engineer job openings:
What are popular job titles related to Machine Learning Software Engineer jobs in VA? For Machine Learning Software Engineer jobs in VA, the most frequently searched job titles are:
Machine Learning Engineer

Machine Learning Engineer

NT Concepts

Herndon, VA • On-site

Full-time

Posted 11 days ago


Job description

NTC OVERVIEW: We are seeking a Machine Learning Engineer to join our team. Working at NT Concepts means that you are part of an innovative, agile company dedicated to solving the most critical challenges in National Security. We're looking for the best and the brightest to join us in supporting this mission. If meaningful work, initiative, creativity, and continuous self-improvement are important to your career, join our growing team and discover What's Next for you.
Mission Focus: As a Machine Learning Engineer, you will have the unique opportunity to support research, design, and implement cutting edge algorithms for a program focused on building robust computer vision algorithms. This requires coding in Python with PyTorch, implementing and maintaining development environments and supporting ML tools, such as Kubeflow and MLFlow. Additionally, you will contribute to the program's source code, implementing data science techniques.
Our delivery teams are driven to explore new ideas and technology, and care deeply about collaboration, feedback, and iteration. We follow modern agile practices, embrace the Ops ethos (DataOps/DevSecOps/MLOps) to "automate-first", use modern tech stacks, and constantly challenge each other to grow and improve.
If cutting edge data science projects resonate with you, and you care deeply about joining a mission-driven company with a strong growth direction and diverse culture, we'd love to learn more about you. Check out the details below, and let's connect.
Technical members of our solutions teams require little guidance, but love to learn, collaborate, and problem solve. This position requires mid to senior level of experience, a passion for mission support, and a strong desire to solve our customers' hardest technical and data challenges.
Clearance: TS/SCI Clearance required.
Location/Flexibility: Vienna, VA and Chantilly, VA with remote flexibility
Responsibilities:
As a Machine Learning Engineer, you'll be part of the Agile team delivering machine learning applications and software systems at scale. You'll implement computer vision machine learning applications using existing and emerging technology platforms to deliver business value to our clients. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. You'll also mentor other engineers and develop your technical knowledge and skills to keep our team at the cutting edge of technology.
  • Collaborate with a cross-functional team comprising other ML Engineers, Software Engineers, DevSecOps Engineers, and Data Scientists.
  • Develop machine learning models and pipelines that are integral to mission success within this computer vision platform.

Qualifications:
  • 4+ years of relevant hands-on experience developing and implementing ML algorithms
  • Practical experience training and deploying Machine Learning models. Ideal candidate would have experience with PyTorch, NumPy, TensorFlow, VS Code)
  • Understanding of machine learning techniques and algorithms, data mining, and statistical analysis.
  • Experience with cloud platform (AWS, Azure and GCP), AWS experience preferred
  • Proven experience with modern software development and engineering practices including scrum/agile, Git, and DevSecOps specifically GitLab CI/CD
  • Experience building and maintaining machine learning pipelines
  • Experience with container applications such as Docker, Kubernetes, OpenShift. Kubernetes is preferred
  • Practical programming and scripting skills (Python preferred)
  • Understanding of data structures, data modeling and software architecture.
  • A passion for (and track record of) innovation, an interest in exploring and leveraging new data modalities, and working across interdisciplinary teams
  • Experience with synthetic data generation for training and evaluation of ML Models is a plus
  • Experience working with customers to better optimize their ML objectives
  • Fast learner, analytical thinker, creative, hands-on, strong communication skills
  • Able to work both independently and as part of a team
  • Excellent problem-solving skills and attention to detail
  • Experience working with LLMs for problem solving and code production in a safe and responsible manner

Physical Requirements:
  • Prolonged periods sitting at a desk and working on a computer.
  • Must be able to lift up to 10-15 pounds at times.

#JT
About NT Concepts
Founded in 1998 and headquartered in the Washington DC Metro area, NT Concepts is a private, mid-tier company with clients spanning the Intelligence and Defense communities. We deliver end-to-end data and technology solutions that advance the modernization, transformation, and automation of the national security mission-solutions with real impact developed in a strong engineering culture that encourages technical growth, leadership, and creative "big idea" problem-solving.
Employees are the core of NT Concepts. We understand that world-changing concepts happen in collaborative environments. We are a company where talented teams work together using innovation and expertise to solve our clients' most critical challenges. Here, you'll gain competitive benefits, opportunities to bolster your skills and develop new abilities, and a company culture dedicated to support and service. In addition to our benefits program, we encourage our employees to take part in #NTC_GivesBack, which paves the way for positive social change.
If joining a stable company with strong professional growth opportunities resonates with you, and you seek vital, mission-driven projects (for some pretty cool clients) that use your specific talents, we'd love to have you move forward with us.