12 mlops engineer jobs at 9 companies in Bowling Green, VA
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Lead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS)
McLean or Richmond or New York City or San Jose or Cambridge
$179k-$246k/yrOnsiteFull Time
Capital OneNYSE: COF: Provides credit card, banking, and auto loan services.
6+ YOE2+ MgmtBachelor's degree, 6+ years designing data-intensive distributed solutions, 4+ years programming in Python, Scala, or Java, and 2+ years building and optimizing ML systems.
VTG: Provides engineering and digital modernization solutions for national security.
5+ YOEBachelor's in a technical field, 5+ years AI/ML or related engineering experience, strong Python and MLOps experience, cloud (Azure/AWS/GCP), Spark/Databricks, AI testing/evaluation, and customer-facing communication skills. Secret clearance required or attainable.
VTG: Provides force modernization and digital transformation for defense agencies.
5+ YOE5+ years AI/ML experience, BS in CS or related field, hands-on MLOps and AI evaluation, cloud and distributed processing experience, strong Python skills, customer-facing communication, ability to obtain Secret clearance.
Lockheed MartinNYSE: LMT: Designs and manufactures global security and aerospace systems.
Bachelor's degree in CS/SE/ML or related STEM, software development experience, familiarity with Linux, active Secret clearance, experience with AI/ML toolchains, MLOps, dataset curation, and willingness to work onsite in Manassas, VA with up to 25% travel.
Lead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS)
McLean or Cambridge or San Jose or Richmond
$179k-$246k/yrOnsiteFull Time
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
6+ YOE2+ MgmtBachelor's degree, 6+ years designing data-intensive distributed systems, 4+ years programming in Python, Scala, or Java, and 2+ years building, scaling, and optimizing ML systems.
Southeastern Computer Consultants: Engineering and training solutions for military weapon systems.
U.S. citizen able to obtain Secret clearance, BS in CS/CE or related field, familiarity with Python/C#/C++, Linux/Bash, Docker, CI/CD and DevOps/MLOps practices.
Capital OneNYSE: COF: Provides credit card, banking, and auto loan services.
4+ YOE1+ MgmtBachelor's degree and 4+ years of software engineering experience required, including 1+ year of cloud computing. Preferred: 7+ years technical experience, cloud expertise, open-source frameworks, Agile, and people management.
JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, Go, Docker, Kubernetes, AWS, Microsoft Azure, Google Cloud, Open Source RDBMS, NoSQL, MLOps
Atlanta or Richmond or Lake Mary or Nashville or Indianapolis or Wilmington or Mason or Grand Prairie or Norfolk or United States
HybridFull Time
Elevance HealthNYSE: ELV: Provides health insurance plans and integrated healthcare services.
4+ YOEBachelor's in a quantitative field (or equivalent) and 4+ years experience; advanced Python and SQL; hands-on experience with LLM/GenAI, NLP, Hugging Face, TensorFlow, Keras, PyTorch, Spark; cloud (GCP/AWS) and MLOps/model deployment experience.
nou Systems: Provides engineering and technology solutions for defense and space systems.
10+ YOEBachelors in CS/physics/engineering required (Masters preferred). 8+ years algorithms, 10+ years MLOps and statistical analysis, 8+ years data governance. Must be U.S. citizen and possess or be able to obtain an active TS/SCI clearance.
W. R. BerkleyNYSE: WRB: Provides commercial property, casualty, and specialty insurance and reinsurance.
10+ YOE10+ years building and shipping production ML/AI systems; expert Python and ML engineering; experience with LLMs, MLOps, causal inference, and statistical methods; Bachelor's in quantitative field required; advanced degree preferred.
Markel GroupNew York Stock Exchange: MKL: Global provider of insurance, reinsurance, and investment products.
10+ YOE5+ MgmtBachelor’s degree or equivalent experience; 10+ years of technology experience, including 5+ years leading enterprise platforms or solutions; enterprise AI strategy, delivery, governance, and engineering leadership experience.