31 ai ml developer jobs at 9 companies in Richmond, VA
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AI/ML Technical Lead
Fort Lee, Virginia, United States
RemoteFull Time, Contract
Xtreme Solutions: An information technology and professional services provider serving customers across the country.
7+ YOERequires active final Secret clearance, 7+ years of data science or applied AI experience, 4+ years developing ML solutions, production deployment experience, Python and SQL, and a relevant bachelor's degree or equivalent experience.
Python, SQL, pandas, NumPy, scikit-learn, Azure AI/ML services, Azure Machine Learning, Azure OpenAI, Azure AI Search, Microsoft Copilot, Microsoft Power BI, Microsoft Power Apps, APIs, GCSS-Army, SAP ECC, ERP
Capital OneNYSE: COF: Provides credit card, banking, and auto loan services.
4+ YOEBachelor’s degree plus 4 years or master’s degree plus 2 years developing AI/ML algorithms or technologies; 4 years programming in Python, Go, Scala, or Java.
Lead AI Engineer (GenAI Platform, AI Foundations, LLM Core and Agentic AI)
McLean or San Francisco or San Jose or Richmond or New York City
$197k-$225k/yrOnsiteFull Time
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
4+ YOEBachelor’s or Master’s in CS/AI/EE/CE with 2–4+ years of AI/ML experience; 4+ years Python/Go/Scala/Java; cloud experience with AWS/GCP/Azure preferred.
AWS, Huggingface, PyTorch, VectorDB, Nemo Guardrails, Open Source AI tools
Bucharest or Boulder or Boston or Chicago or Glendora or Richmond or London or Auckland
lei16k-lei19k/moHybridFull Time
Yes Energy: Provides real-time electric power market data and trading analytics.
5+ YOEBachelor's in CS/Data/Math, 5+ years software engineering with focus on testing/evaluation or AI/ML tooling, strong Python, experience building evaluation pipelines and LLM eval concepts, familiarity with RAG and production data pipelines.
AMC Health: Provides remote patient monitoring and virtual care technology.
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.
McKessonNew York Stock Exchange: MCK: Distributes pharmaceuticals and provides healthcare information technology solutions.
4+ YOE4+ years development experience; strong skills in microservices, system integrations, Apache Kafka, CP4D, AI/ML, ETL, Oracle SQL/PL/SQL, cloud platforms, and containerization.
AdvanSixNYSE: ASIX: Manufactures nylon resins, chemical intermediates, and agricultural fertilizers.
5+ YOEPhD preferred or Master’s in polymer/materials/chemical engineering,5+ years polymer R&D with polyamide/nylon focus,polymer synthesis,process development/scale-up,analytical characterization,DOE/Statistical methods,and AI/ML-enabled experimentation.
DSC, GPC, IR, NMR, rheology, AI, machine learning, Design of Experiments (DOE), Six Sigma
Dominion EnergyNYSE: D: Provides regulated electric and natural gas utility services.
10+ YOE10+ years software development, 3+ years GenAI/AI-ML experience, 2+ years DevOps cloud deployments; advanced proficiency in .NET, React, Angular, Python, SQL, SQL Server, Oracle, NoSQL, Microsoft Power Platform; experience with RAG, model fine-tuning and cloud deployments (AWS/Azure/GCP).
.NET, React, Angular, Python, SQL, SQL Server, Oracle, NoSQL, Microsoft Power Platform, RAG, Agentic AI, AWS, Azure, GCP, Microsoft Word, Microsoft Excel, Microsoft PowerPoint, Microsoft OneNote, Microsoft Project, Microsoft Visio, Microsoft SharePoint
CapTech: Provides technology and management consulting services to large enterprises.
7+ YOE7+ years delivering cloud-based data engineering and ML solutions; Bachelor's degree or equivalent; technical leadership and mentoring experience; hands-on with Python/Scala, SQL, Spark, NoSQL, Docker, Snowflake/Databricks, AWS/Azure/GCP; experience with production LLMs and agentic AI.
Exiger: AI-powered supply chain risk and compliance management software.
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.