147 ml platform engineer jobs at 79 companies in Chantilly, VA
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AI/ML Platform Engineer
Laurel, Maryland, United States
$85k-$195k/yrOnsiteFull Time
Johns Hopkins University Applied Physics Laboratory: Conducts research and engineering for national security and space.
2+ YOEBachelor's in Math/CS/EE; 2+ years in software/ML; experience building production AI/ML systems; Python with ML stack; LangChain/LangGraph; containerization with Podman/Docker; strong communication; ability to obtain Interim Secret clearance; U.S. citizenship.
Axiologic Solutions: Providing engineering and IT services to federal government agencies.
15+ YOEExpert systems engineering experience for DoD/IC programs, AI/ML and cloud integration, systems integration, requirements and architecture analysis, and active TS/SCI clearance with CI poly ability.
Assured Information Security: Provides cybersecurity research and products for national defense missions.
10+ YOEBachelor's (+12 years) or Master’s (+10 years) in CS/Engineering/Data Science, TS/SCI w/CI Poly, experience with AI/ML platform engineering in government/defense, familiarity with Microsoft Azure and AWS, containers, APIs, identity/security, and platform observability.
Microsoft Azure, Amazon Web Services (AWS), Azure AI services, AWS AI/ML services, Microsoft enterprise services, Kubernetes, Docker, MLOps, DevSecOps, Infrastructure as Code, APIs
RSC2: Provides technical and engineering services to federal defense agencies.
10+ YOEActive TS/SCI with Polygraph; 12 years experience with a Bachelor's or 10 years with a Master's in CS/Engineering/Information Systems (or related); experience with AI/ML platform, cloud (Microsoft Azure, AWS), containers, identity/security, and secure government environments.
Microsoft Azure, Microsoft Azure AI services, Microsoft enterprise services, Amazon Web Services (AWS), Amazon Web Services AI/ML services, Kubernetes, Docker, MLOps, DevSecOps, Infrastructure as Code
SAICNYSE: SAIC: Provides engineering, IT, and mission support services to government.
9+ YOETS/SCI with polygraph required. Significant AI/ML, cloud (Azure, AWS), and platform engineering experience; strong written/verbal skills; ability to produce technical assessments and architecture artifacts.
Microsoft Azure, Amazon Web Services (AWS), Microsoft enterprise services
ARSIEM: Provides cybersecurity and software engineering to government agencies.
12+ YOERequires 10–12+ years experience with a relevant degree, experience with AI/ML platform engineering in government or enterprise, familiarity with Microsoft and AWS ecosystems, cloud architecture, containers, identity/security, and strong communication skills.
Microsoft Azure, Amazon Web Services (AWS), Azure AI services, AWS AI/ML services, Kubernetes, Docker, MLOps, DevSecOps, Infrastructure as Code, Microsoft enterprise services
B&A: Provides IT systems integration and data services to federal agencies.
5+ YOE5+ years AI/ML engineering experience with MLOps/DevSecOps, model development, deployment, and cloud platform experience; strong programming and data skills; security clearance eligibility.
VivSoft Technologies: Delivers cloud, DevSecOps, and AI solutions to federal agencies
15+ YOETS/SCI w/Poly required. Master's +15 yrs or Bachelor's +18 yrs in systems engineering or related STEM; expert systems engineering, cloud, CI/CD, AI/ML, DoD/IC experience, 1-2 yrs coding in Python/Java/JavaScript, SAFe/Agile experience.
Cloud, AI/ML, CI/CD, Python, Java, JavaScript, Model Based Systems Engineering, SWAP, ATO, Scaled Agile Framework for Enterprise (SAFE)
UnitedHealth GroupNYSE: UNH: Provides health insurance and technology-enabled health care services.
3+ YOEBachelor's in CS or quantitative field; 3+ years programming (Python, SQL, packaging), experience with observability, model registry/experiment tracking, responsible AI, GenAI/agents, serving/inference, and cloud platforms.
CACINYSE: CACI: Provides information technology and professional services to government clients.
12+ YOETS/SCI with polygraph; Bachelor's or Master’s in CS or related field; 12+ years software development; Python; AI/ML experience; large-data platforms; Git/Jira/Confluence; Elasticsearch or Splunk.
CTIS: A technology developing and integrating advanced AI and machine learning solutions for business use.
5+ YOE5+ years developing and delivering AI/ML solutions; degree in computer science/engineering or related; proficiency in Python, R, Java; experience with TensorFlow/PyTorch, cloud platforms, Git; strong communication and problem-solving.
ManTech: Provides technology solutions for defense and intelligence agencies.
3+ YOEBachelor's degree in Computer Science or related field; 2+ years experience; 3+ years software engineering; Python proficiency; experience operationalizing ML; familiarity with MLOps tools; cloud platforms; CI/CD practices.
Vantor: Providing AI-powered spatial intelligence and high-resolution Earth observation.
8+ YOERequires U.S. citizenship and active TS/SCI with polygraph. Bachelor's in a related field plus ~8+ years experience (or equivalent with advanced degree). Experience with Python/Java/C++/JavaScript/TypeScript/SQL/Bash, Docker, Kubernetes, CI/CD, infrastructure automation, and geospatial/imagery/AI/ML applications.
Gormat: Provides cybersecurity and systems engineering services to government defense agencies
12+ YOESETA AI Platform Engineer with 12+ years (Bachelors) or 10+ years (Masters) in CS/Engineering/IP/Others; experience with AI/ML, cloud, platform engineering in government/enterprise; strong Azure/AWS knowledge; containerization, APIs, IAM, security; excellent communication; proactive and mission-focused.
SageCor Solutions: Provides engineering services for the intelligence community.
10+ YOEActive TS/SCI with polygraph required. 10–12+ years experience (10 with Master's, 12 with Bachelor's) in computer science/engineering/IS or related; experience with Azure AI, AWS AI/ML, Kubernetes, Docker, MLOps, DevSecOps, IaC, and secure government cloud environments.
Azure AI services, AWS AI/ML services, Kubernetes, Docker, MLOps, DevSecOps, Infrastructure as Code, platform observability tools
Senior Principal Platform Engineer - AI Automation
Columbia, Maryland, United States
OnsiteFull Time
Clarity Innovations: Provides software and data engineering for national security missions.
7+ YOE7+ years in DevSecOps/Platform Engineering/SRE; Kubernetes mastery; Docker; Azure or AWS; Terraform/Crossplane; Python/Go/Bash; OSI networking; AI/ML tooling; Kubernetes GPUs; MLOps; GitLab/GitOps; AI security and governance.
Boston or Colorado Springs or McLean or Oahu or Remote or Tacoma or Tampa
$180k-$230k/yrRemoteFull Time
Raft: Builds AI and data platforms for U.S. national defense.
6+ YOE6+ years in full-stack production software; distributed systems; Kubernetes and cloud-native platforms; security and compliance knowledge; top-secret clearance eligibility.
Arlington or Nashville or Racine or Tempe or Austin or Orlando or Fort Worth or Naples
OnsiteFull Time
CliftonLarsonAllen: Professional services firm providing audit, tax, and consulting services.
6+ YOE6 years relevant experience, Bachelor's degree required, experience in MLOps/DevOps and enterprise AI platforms, supervisory experience preferred, advanced Python and multi-language platform experience, cloud architecture and AI system observability expertise.
WorkdayNASDAQ: WDAY: Provides cloud-based software for financial and human capital management.
5+ YOE5+ years data engineering experience with 2+ years supporting ML platforms/MLOps; hands-on with AWS SageMaker, MLflow, feature stores, vector DBs, Spark/EMR, Ray/Dask; advanced Python and SQL; experience building APIs, streaming integrations, and CI/CD for ML pipelines.