8 mlops engineer jobs at 6 companies in Tappahannock, VA
3d
Save
Mark Applied
Hide
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/yr OnsiteFull Time
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.
KServe, Kubernetes, PyTorch, TensorFlow, AWS, Python, Scala, Java, scikit-learn, Dask, Spark, Azure, Google Cloud Platform
3d
Save
Mark Applied
Hide
Lead Machine Learning Engineer (MLOps, KServe + building Kubernetes Clusters, PyTorch, TensorFlow on AWS)
McLean or Cambridge or San Jose or Richmond
$179k-$246k/yr OnsiteFull Time
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.
KServe, Kubernetes, PyTorch, TensorFlow, AWS, Python, Scala, Java, scikit-learn, Dask, Spark, Azure, Google Cloud Platform
1mo
Save
Mark Applied
Hide
Junior Engineer/Analyst
King George or Dahlgren
OnsiteFull Time
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.
Python, C#, C++, Linux, Bash, Docker, Jenkins, Artifactory, MLflow, Kubeflow, PyTorch, TensorFlow, Windows
1mo
Save
Mark Applied
Hide
Sr. Artificial Intelligence Engineer (5361) (TS/SCI) (Ft. Belvoir, VA - Nolan Bldg)
Fort Belvoir or Hollywood
$165k-$180k/yr OnsiteFull Time
3+ YOEActive Top Secret/SCI clearance, Security+ (or ability to obtain), Master’s (3+ yrs) or Bachelor’s (5+ yrs) in a computing field; hands-on MLOps, CI/CD, containerized deployment (Docker, Kubernetes), Python, ML frameworks, Responsible AI.
MLOps, CI/CD, Docker, Kubernetes, OpenAI GPT, Azure OpenAI, AWS Bedrock, Python, TensorFlow, PyTorch, scikit-learn, Hugging Face, AWS, Azure, GCP
2d
Save
Mark Applied
Hide
Lead Software Engineer, Full Stack
McLean or Richmond or New York City
$179k-$246k/yr OnsiteFull Time
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
1mo
Save
Mark Applied
Hide
Gen AI Engineer
Atlanta or Richmond or Lake Mary or Nashville or Indianapolis or Wilmington or Mason or Grand Prairie or Norfolk or United States
HybridFull Time
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.
Python, SQL, Hugging Face, TensorFlow, Keras, PyTorch, Spark, GCP, AWS, vLLM, Text Generation Inference, FastAPI, GPTQ, AWQ, bitsandbytes, AWS EKS, AWS ECS, GCP GKE, Azure AKS
2w
Save
Mark Applied
Hide
Principal Data Scientist
Glen Allen, Virginia, United States
$200k-$300k/yr OnsiteFull Time
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.
Python, NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, MLflow, Docker, Kubernetes, SQL, dbt, Spark, Databricks, Azure ML, AWS SageMaker, GCP Vertex AI, SHAP, LIME, Git
6d
Save
Mark Applied
Hide
Director - AI Technology Platform and Solutions
Richmond, Virginia, United States
$150k-$224k/yr HybridFull Time
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.
AI/ML, generative AI, agentic AI, LLMs, MLOps, LLMOps, FinOps, NIST AI RMF