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Principal Machine Learning Engineer Jobs in Virginia

NT Concepts

Machine Learning Engineer

Herndon, VA · On-site

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 ...

Ametek

Machine Learning Engineer

Herndon, VA · Hybrid

We are seeking an earlycareer Machine Learning Engineer who is excited to grow rapidly by building and deploying productiongrade ML systems. The ideal candidate has a strong engineering mindset, has ...

Innova Solutions

Machine Learning Engineer

Richmond, VA

$70 - $75/hr

Richmond VA As a Machine Learning Engineer,you will: Day to Day Responsibilities * Design and implement agentic AI systems capable of planning, tool use, memory, and multi-step reasoning * Build and ...

Ametek

Machine Learning Engineer

Herndon, VA · On-site

We are seeking an early-career Machine Learning Engineer who is excited to grow rapidly by building and deploying production-grade ML systems. The ideal candidate has a strong engineering mindset ...

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

Kitware

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

... machine learning, artificial intelligence, and computer vision * Perform rapid prototyping and enhanced development to be integrated into operational systems * Contribute your strong programming ...

Kitware

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

... machine learning, artificial intelligence, and computer vision * Perform rapid prototyping and enhanced development to be integrated into operational systems * Contribute your strong programming ...

Kitware

Machine Learning Engineer

Arlington, VA · Hybrid

... machine learning, artificial intelligence, and computer vision * Perform rapid prototyping and enhanced development to be integrated into operational systems * Contribute your strong programming ...

Kitware

Machine Learning Engineer

Arlington, VA · On-site

$110K - $160K/yr

... machine learning, artificial intelligence, and computer vision * Perform rapid prototyping and enhanced development to be integrated into operational systems * Contribute your strong programming ...

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All JobsPrincipal Machine Learning Engineer JobsPrincipal Machine Learning Engineer Jobs in Virginia

Principal Machine Learning Engineer information

See Virginia salary details

$73.4K

$146K

$210.7K

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

As of Jun 18, 2026, the average yearly pay for principal machine learning engineer in Virginia is $145,957.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,500.00 and $171,500.00 per year, depending on experience, location, and employer.

What types of projects and responsibilities can a Principal Machine Learning Engineer typically expect in this role?

Principal Machine Learning Engineers are often tasked with leading the design, development, and deployment of large-scale machine learning models and systems that address key business challenges. In this role, you will collaborate closely with data scientists, engineers, and product managers to define project requirements, architect solutions, and ensure high-quality delivery. You may also guide research initiatives, oversee code and model reviews, and mentor junior engineers, helping to shape the technical direction of the team. Typical responsibilities can range from prototyping and optimizing algorithms to ensuring models are scalable, reliable, and aligned with organizational goals.

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

To thrive as a Principal Machine Learning Engineer, you need advanced expertise in machine learning algorithms, statistical analysis, software engineering, and a strong background in computer science or related fields, often supported by a master's or PhD degree. Familiarity with tools such as Python, TensorFlow, PyTorch, cloud platforms (AWS, GCP, Azure), and relevant certifications strengthens technical capability. Leadership, strategic thinking, effective communication, and mentorship are vital soft skills for guiding teams and collaborating across departments. These competencies are essential for driving innovation, ensuring technical excellence, and influencing organizational AI initiatives.

What does a Principal Machine Learning Engineer do?

A Principal Machine Learning Engineer leads the design, development, and deployment of machine learning models and systems. They set technical strategy, mentor engineers, and collaborate with cross-functional teams to solve complex AI challenges. Their role often includes researching new algorithms, optimizing model performance, and ensuring scalability in production environments. Additionally, they work closely with data scientists, software engineers, and product managers to align ML initiatives with business objectives.

What engineers make $500,000?

Principal Machine Learning Engineers and senior AI specialists with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can reach or exceed $500,000 in total compensation, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a strong track record, leadership responsibilities, and sometimes stock options or bonuses.

How much do principal AI engineers make?

Principal AI engineers typically earn between $130,000 and $200,000 annually, with salaries varying based on experience, location, and industry. They often have advanced skills in machine learning, deep learning, and data science, and may receive bonuses or stock options as part of compensation packages.

What is the salary of principal machine learning engineer?

The salary of a principal machine learning engineer typically ranges from $130,000 to $200,000 annually, depending on experience, location, and company size. Senior roles often include bonuses, stock options, and other benefits, reflecting the high level of expertise required in machine learning, data analysis, and software development tools.

Which 5 jobs will survive AI?

Principal Machine Learning Engineers are likely to continue playing a vital role as AI advances, focusing on developing and deploying complex models that require deep expertise in algorithms, data science, and software engineering. Jobs that involve creative problem-solving, strategic decision-making, and tasks requiring human judgment—such as healthcare professionals, educators, and skilled trades—are also expected to persist. Roles emphasizing emotional intelligence, interpersonal skills, and adaptability will remain resilient despite AI automation.
What are popular job titles related to Principal Machine Learning Engineer jobs in Virginia? For Principal Machine Learning Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Principal Machine Learning Engineer jobs in Virginia look for? The top searched job categories for Principal Machine Learning Engineer jobs in Virginia are:
Principal Machine Learning Engineer jobs near you
Infographic showing various Principal Machine Learning Engineer job openings in Virginia as of June 2026, with employment types broken down into 2% Internship, 79% Full Time, 13% Part Time, 2% Temporary, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $145,957 per year, or $70.2 per hour.
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.

Apply