22 solution engineering lead jobs at 5 companies in Petersburg, VA
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Sr. Lead Machine Learning Engineer
McLean or Richmond or New York City or San Francisco
$209k-$286k/yrOnsiteFull Time
Capital OneNYSE: COF: Provides credit card, banking, and auto loan services.
8+ YOE2+ MgmtBachelor's degree, 8+ years designing distributed data solutions, 4+ years programming in Python, Scala, or Java, 3+ years building ML systems, and 2+ years leading ML teams.
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
8+ YOE2+ MgmtSenior ML engineer with 8+ years in distributed data solutions; 4+ years Python/Scala/Java; 3+ years ML systems; 2+ years leadership; Masters or Doctorate preferred.
Capital OneNYSE: COF: A diversified financial services providing banking and credit products.
8+ YOE2+ MgmtBachelor’s degree, 8+ years designing data-intensive distributed solutions, 4+ years programming in Python, Scala, or Java, 3+ years building ML systems, and 2+ years leading ML teams.
Senior Mechanical Engineer - CMTA Energy Solutions
Lafayette or Richmond or Fairfax or Boston or Washington or Framingham or Baltimore
$100k-$150k/yrOnsiteFull Time
LegenceNasdaq: LGN: Engineering and maintenance services for mission-critical building systems.
5+ YOEABET-accredited undergraduate engineering degree, minimum 5 years with energy services or consulting/commissioning, experience leading performance contracts, business development and client relationship skills, knowledge of K-12 design-build procurement.
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.
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.