212 ml data engineer jobs at 113 companies in White Marsh, MD
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AI/ML Engineer
Annapolis Junction, Maryland, United States
$150k-$270k/yrOnsiteFull Time
Synergy ECP: Provides cybersecurity and systems engineering for defense agencies.
3+ YOEBuild, deploy, and maintain ML models; develop data pipelines; collaborate with software/DevOps; monitor and optimize models; 3+ years of experience; BS in a technical field; TS/SCI w/ Polygraph clearance; U.S. citizenship.
Python, TensorFlow, PyTorch, Scikit-learn, Data processing, Feature engineering, Model evaluation, Production deployment
FEI Systems: Provider of technology solutions for health and human services.
5+ YOERequires 5+ years of cloud data engineering experience, strong Python, SQL, and Snowflake skills, AWS data services familiarity, and a bachelor's degree or equivalent experience.
UnitedHealth GroupNYSE: UNH: Provides health insurance and technology-enabled health care services.
5+ YOEBachelor's in CS/IT, 5+ years data engineering experience with Python, PySpark, SQL, ETL, cloud platforms and CI/CD; experience with LLMs/Generative AI and responsible AI principles preferred.
GDITNYSE: GD: Delivers IT and mission services to government agencies.
10+ YOEMust be U.S. citizen with current TS/SCI (willingness to obtain CI polygraph), 10+ years related experience, proficiency in Python and AI/ML libraries, experience building and deploying agentic AI and ML pipelines, and Bachelor’s in CS or related (or equivalent).
ManTech: Provides technology solutions for defense and intelligence agencies.
7+ YOE7+ years data engineering experience; expertise in distributed processing (Spark), ETL/ELT, SQL and Python; Azure ecosystem experience; data governance and preparing data for AI/ML; TS/SCI clearance required.
Booz Allen HamiltonNYSE: BAH: Provides technology and management consulting services to diverse organizations.
6+ YOE6+ years data engineering experience; building and maintaining scalable data pipelines, ETL/CI-CD workflows, data governance, and datasets for AI/ML; TS/SCI clearance with polygraph required; HS diploma/GED required.
Castalia Systems: Provides cybersecurity and intelligence analysis services to federal agencies.
5+ YOE5+ years automation/data engineering experience, Python, AWS data ingestion, Amazon Bedrock, ML pipelines, API/CI-CD/Databricks experience; U.S. citizen and Secret clearance required; BS or HS+7yrs accepted.
BCMC: Providing cybersecurity and IT solutions for government agencies.
5+ YOEU.S. citizen with active Secret clearance, 5+ years in automation/data/software engineering, AWS data ingestion, ML/LLM integration, Python, API and pipeline experience; DHS EOD suitability and strong analytical/communication skills.
Node.Digital: Provides digital automation and AI solutions for government and commercial enterprises.
5+ YOEU.S. citizen with active Secret clearance (TS/SCI preferred), 5+ years in automation/data/software engineering, Python, AWS data pipelines, Amazon Bedrock, ML pipelines, Git, and ability to obtain DHS EOD suitability.
NSWC- Senior AI/ML Engineer (Computer Engineer IV)- Bedford, IN
Bedford or Crane or Washington or Tampa or Dayton or United States
OnsiteFull Time
Barbaricum: Provides technology and mission support to federal national security agencies.
10+ YOE10+ years in AI/ML engineering, software development, or applied data science; bachelor's degree; active DoD Secret clearance; expertise in LLMs, RAG, MLOps, ML frameworks, and secure cloud environments.
Noblis: Provides science and technology solutions for government missions.
5+ YOEBachelor's degree (or equivalent experience),5+ years experience,production ML deployment including LLMs,PyTorch,Docker,Kubernetes,Python,JavaScript,AWS,MLOps experience,US citizen with Top Secret clearance and SCI eligibility.
Booz Allen HamiltonNYSE: BAH: Consulting and technology services for government and commercial clients
6+ YOETS/SCI with polygraph required; 6+ years data engineering experience; experience building scalable ETL/CI-CD pipelines, data governance, dataset preparation for AI/ML, pipeline monitoring; HS diploma/GED required.
Noblis: Nonprofit science, technology, and strategy firm supporting government missions.
5+ YOEBachelor's degree plus 5 years experience (or associates+8 years or HS+11 years). Production ML/LLM deployment, MLOps/DevOps, PyTorch, Docker, Kubernetes, Python, JavaScript, AWS, Top Secret clearance with SCI eligibility required.
HIINYSE: HII: Builds naval ships and provides global defense technology solutions.
Design, develop, and operationalize production AI/ML solutions on AWS GovCloud; proficiency in Python, ML deployment, data integration, and DoD security/compliance; active Secret clearance required.
The Nuclear Company: Deploys standardized nuclear reactors for utility-scale energy generation.
5+ YOE5+ years shipping ML/AI into production; strong Python; experience with PyTorch/Hugging Face, LLMs and agents, data engineering, cloud (AWS preferred); strong communication; Bachelor’s/Master’s or equivalent experience.
Sand Technologies: Provides AI software to optimize critical industrial infrastructure.
3+ YOE3+ years designing and operating large-scale hybrid data platforms; expertise with distributed processing, streaming systems, data governance, and building ML-ready data infrastructure.
Sand Technologies: Develops industrial AI and digital twin solutions for enterprise operations.
3+ YOE3+ years building and operating large-scale cloud or hybrid data platforms; strong Python and SQL skills; experience with Spark/Kafka, cloud (AWS/Azure/GCP), data governance, observability, and ML enablement.
Momentum Engineering: Provides engineering and technical services for national security missions.
10+ YOEActive Top Secret/SCI clearance with NSA full-scope polygraph, bachelor's degree in a quantitative discipline, and 10+ years across machine learning, data mining, analytics, AI, software engineering, or data science.
T. Rowe PriceNASDAQ: TROW: Provides global investment management and retirement planning services.
2+ YOE2+ years in data engineering/AI/ML; Python/Java/Scala; cloud platforms (AWS/Azure/GCP); Spark/Kafka/Snowflake; production ML; Agile/DevOps; strong communication.