Top Machine Learning Jobs in Richmond, VA

The role involves leading the Revenue ML team, managing engineers focused on building AI/ML capabilities for user and revenue growth, overseeing project execution, and fostering collaboration among cross-functional teams.

As a SOC Analyst, you will review online threats, analyze content, investigate fraud, support customer queries, and enhance security metrics.

Manage product strategies and development for AI/ML SaaS products, oversee full product lifecycle, collaborate with engineering, and implement complex pricing strategies.

The Senior Product Marketing Manager will develop positioning and messaging for Cresta's Travel & Hospitality sector, leadership in market conversation, and go-to-market strategies to drive revenue growth.

Lead design and delivery of enterprise Generative AI solutions: capture use cases, architect LLM-based services, drive platform roadmap, ensure integration/testing/observability, mentor engineers, and coordinate with Legal, Security, Ops, and Technology to scale AI adoption.

Lead and grow an AI/ML team, define strategic roadmap, prioritize and deliver scalable ML solutions on Azure, manage budgets and people, ensure best practices, and collaborate cross-functionally while supporting production and on-call incident response.

The Machine Learning Engineer will design and implement machine learning solutions, analyze large datasets, and work with clients to meet business needs.

Lead Machine Learning Engineers at CapTech design and implement data-driven solutions, focusing on scalable systems while mentoring teams across various domains.

The Lead Machine Learning Engineer at CapTech designs and implements data-driven solutions, providing technical leadership while collaborating with clients and teams to optimize and scale machine learning systems.

CapTech seeks a Machine Learning Engineer to design and implement scalable ML systems, analyze large datasets, and collaborate with cross-functional teams for data-driven solutions.

As a Senior Staff Machine Learning Engineer at Affirm, you will lead complex ML system design and implementation, mentor engineers, and drive innovative ML strategies for financial services.

Develop ML/RL models and infrastructure for AV simulations, optimize training loops, and support project timelines in autonomous vehicle tech.

Join a technology company to solve complex challenges in digital advertising measurement using data analysis, causal inference, and machine learning. Collaborate with clients and create insights from retail transaction data.

Lead marketing data science efforts, overseeing analytics and machine learning strategies to enhance user acquisition, engagement, and retention. Mentor a team and communicate data insights to executives to influence marketing and budget decisions.

Lead the development and execution of ML-driven User Acquisition products, improving advertiser experience and managing product roadmaps in a fast-paced environment.

The Engineering Manager will lead teams in developing and managing Blackbaud's Data & AI platform, focusing on scalability, security, and cost-efficiency.

The Enterprise Account Executive will drive sales of AI and ML solutions to mortgage companies and manage enterprise customer relationships.

The DS&ML Group Product Manager oversees Data Science and Machine Learning capabilities, defining strategic vision, managing product portfolios, and ensuring delivery aligned with business needs. Responsibilities include developing roadmaps, executing models, scaling functionalities, and mentoring a team.

Lead the development of agentic AI systems for real estate, focusing on long-horizon, supervised experiences. Architect collaborative systems and define success metrics while mentoring a small team.

The Partner Enablement Technical Lead will design and manage technical learning programs for partners, focusing on Data & AI technologies, and align strategies with business needs to enhance partner proficiency.

The Implementation Specialist (CRM) will deliver CRM solutions, customize workflows, train staff, optimize processes, and ensure client engagement for dealer partners.

Manage technical programs for generative AI video models, translating research into milestones, coordinating teams, and ensuring successful execution across all phases.

Lead the ML Data Enablement team to define strategy and execution for accelerating third-party and internal data onboarding, enforce data quality and SLAs, build metadata and lineage standards, and deliver scalable data infrastructure and workflows to reduce time-to-production for ML models.

The role integrates capabilities across IDS to drive excellence, facilitates learning programs, ensures alignment with objectives, and enhances decision-making in the pharmaceutical field.

The Enterprise Account Executive will drive revenue by engaging with enterprise insurance clients, managing the sales cycle, and fostering strategic relationships with executives, leveraging Vellum's data analytics platform.