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Associate Full Stack Machine Learning Engineer Jobs in Washington, DC

NT Concepts

Machine Learning Engineer

Herndon, VA · On-site

... stacks, and constantly challenge each other to grow and improve. If cutting edge data science ... As a Machine Learning Engineer, you'll be part of the Agile team delivering machine learning ...

Cymertek

Machine Learning Engineer

Reston, VA

Machine Learning Engineer LOCATIONReston, VA 20190 CLEARANCETS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARYWe are seeking a talented and innovative Machine ...

Samprasoft

Machine Learning Engineer

Mclean, VA

GCP/AWS Machine Learning Engineer Freddie Mac iLab is currently looking for Machine Learning Engineers in its Innovation Labs - Tech Strategy team. In this position, you will be responsible for ...

AI Squared

Machine Learning Engineer

Washington, DC · On-site

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...

ICONMA

Machine Learning Engineer

Mclean, VA

Machine Learning Engineer Our client, a financial company, is looking for a Machine Learning Engineer for their McLean, VA location. Requirements: * Python, AWS, Kubernetes, Kubeflow, MLOps, ML ...

AI Squared

Machine Learning Engineer

Washington, DC · On-site

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...

AI Squared

Machine Learning Engineer

Washington, DC · On-site

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...

Razor Talent

Machine Learning Engineer

Mclean, VA · On-site

$2K/mo

Machine Learning Engineer Our clients, a rapidly growing AI-focused software development company ... across the full ML lifecycle. Key Responsibilities • Train and fine-tune models • Build ...

Razor Talent

Machine Learning Engineer

Reston, VA · On-site

$2K/mo

Machine Learning Engineer Our clients, a rapidly growing AI-focused software development company ... across the full ML lifecycle. Key Responsibilities • Train and fine-tune models • Build ...

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$50.4K

$152.6K

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How much do associate full stack machine learning engineer jobs pay per year?

As of Jun 4, 2026, the average yearly pay for associate full stack machine learning engineer in Washington, DC is $152,641.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,700.00 and $179,000.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Washington, DC? The most popular types of Full Stack Machine Learning Engineer jobs in Washington, DC are:
Associate Full Stack Machine Learning Engineer jobs near you
Machine Learning Engineer

Machine Learning Engineer

NT Concepts

Herndon, VA • On-site

Full-time

Posted 27 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.

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