6 applied ml engineer jobs at 4 companies in Petersburg, VA
1mo
Save
Mark Applied
Hide
Senior Software Engineer Applied AI
Richmond or United States
RemoteFull Time
7+ YOE7+ years building production backend systems, strong Python, cloud/distributed systems experience (AWS), hands-on LLM/generative AI and ML lifecycle experience, and disciplined work in regulated environments.
Python, AWS, LLMs
1mo
Save
Mark Applied
Hide
Forward Deployed Engineer
South Ogden or Huntsville or McLean or Richmond
HybridFull Time
5+ YOEBachelor's/Master's in CS or related, 5+ years in data engineering or applied AI/ML, active TS/SCI clearance, deep Python and SQL skills, cloud experience (AWS, Snowflake, Redshift), and experience operationalizing ML in production.
1Exiger, Python, SQL, AWS, Snowflake, Redshift
1mo
Save
Mark Applied
Hide
Forward Deployed Engineer
Huntsville or McLean or Richmond or South Ogden
HybridFull Time
5+ YOEBachelor's degree in CS or related field, 5+ years in data engineering or applied AI/ML, active Top Secret clearance with SCI eligibility, proficiency in Python and SQL, experience with cloud data platforms (AWS, Snowflake, Redshift).
Python, SQL, AWS, Snowflake, Redshift, 1Exiger
2w
Save
Mark Applied
Hide
Senior Lead Software Engineer, Full Stack (AI Platform & Knowledge Library) (Enterprise Platforms Technology)
New York or McLean or Richmond
$209k-$286k/yr OnsiteFull Time
6+ YOEBachelor's degree, 6+ years software engineering, 1+ year cloud experience; strong Python, RAG, vector search, applied AI/ML, and shared platform API experience; AWS services experience preferred.
Python, OpenSearch, Pinecone, PGvector, Weaviate, AWS, Microsoft Azure, Google Cloud, OpenSearch Service, S3, Lambda, SQS
1mo
Save
Mark Applied
Hide
Senior Data Scientist
Glen Allen, Virginia, United States
$150k-$200k/yr OnsiteFull Time
3+ YOEBachelor's in quantitative field required; 3+ years applied ML/AI engineering; experience shipping production ML systems; Python, LLMs, cloud, and ML engineering proficiency; strong analytical and software engineering skills.
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
5d
Save
Mark Applied
Hide
Senior Product Manager, AI & Data Science Products
Seattle or Richmond or Austin or North Charleston or Philadelphia or San Francisco or Denver or Miami or Atlanta or Chicago or Augusta or Boston or Las Vegas or Trenton or New York or Raleigh or Portland
RemoteFull Time
3+ YOERequires 3+ years of product management or comparable experience, customer-facing AI or data product ownership, applied AI/ML knowledge, data science and engineering collaboration, experimentation, analytics, and quality evaluation skills.
AI, machine learning, APIs, MCP