Top Senior Machine Learning Jobs in Richmond, VA

Leads process risk assessments and mitigation initiatives across Enterprise Services, including cyber, cloud, network, data, resiliency, product, and third-party functions. Advises business partners, researches emerging risks and regulatory changes, manages multiple projects and workstreams, facilitates stakeholder interactions, reports outcomes to senior leadership, and drives process and control improvements.

Lead multiple product-focused engineering teams to design, build, deploy, and modernize risk-management software using full-stack technologies, microservices, AWS, Big Data, and ML; mentor engineers, improve engineering practices, and drive migration from monoliths to scalable services.

Leads horizontal program management for Capital One’s AML Modeling and Advanced Data Insights organization. Responsibilities include optimizing workflows, coordinating engagement and onboarding, managing training programs, supporting planning ceremonies and large-scale projects, facilitating GenAI communities, improving cross-functional processes, and assisting with budgeting, recruiting, and resource management.

Lead AI engineering teams to design, build, and deploy end-to-end AI solutions. Manage client relationships, plan and deliver projects, mentor staff, drive adoption of cloud-native microservices, CI/CD, vector databases and orchestration tools, and ensure high standards of quality, innovation, and compliance.

Leads product strategy and strategic initiatives for Capital One’s Consumer and Developer Experience organization. Partners with senior leaders, analyzes business landscapes, drives annual planning, supports AI transformation, develops product innovation and prototypes with engineering, and leads strategy and product teams. The role requires strong strategic problem-solving, product orientation, analytics, people leadership, relationship-building, communication, and the ability to operate effectively in ambiguity.

Support Consumer and Developer Experience leadership by solving strategic business questions, leading initiatives such as AI transformation, conducting analytics and market assessments, shaping long-term product innovation, and partnering with engineering on prototypes. The role also builds stakeholder relationships, develops strategic capabilities, promotes AI-enabled efficiency, and contributes to annual planning and organizational alignment.

Review and audit machine learning models and model risk practices across the enterprise. Partner with cross-functional teams to design, train, evaluate, validate, and implement ML and NLP solutions, using tools like Python, Spark, H2O, and AWS. Translate technical findings into business recommendations and assurance for stakeholders and the Audit Committee, while researching and applying emerging Generative AI and state-of-the-art methods.

Design and lead the technical strategy for search across Vannevar’s products. Build and improve full-text, vector, and LLM-powered retrieval systems, optimizing latency, relevance, index quality, freshness, and performance. Collaborate with ML, product, design, and mission strategy teams to translate user needs into search innovations. Apply expertise in information retrieval, NLP, machine learning, indexing, ranking, query parsing, tokenization, vector search, and evaluation frameworks.

Supports commercial enterprise sales by discovering customer requirements, aligning SailPoint solutions, delivering demonstrations, responding to RFPs, and leading Proof of Value evaluations. The role partners with sales, product, customer success, professional services, and channel teams while communicating technical and business value to IT and business stakeholders. It requires substantial pre-sales experience, enterprise software knowledge, SaaS architecture familiarity, and expertise in identity governance and access management.

Lead Runpod’s Americas sales organization and revenue number across new business, expansion, and renewals. Manage and coach Account Executives and Account Managers, oversee forecasting and pipeline, lead complex enterprise deals and contract negotiations, build regional go-to-market strategy and sales playbooks, and convert product-led demand into revenue. Partner with Marketing, Product, Legal, and Finance while improving sales efficiency through AI and developing a remote-first team.

Develops and validates machine learning and statistical models for anti-money laundering, transaction monitoring, customer screening, and risk rating. The role evaluates AML data quality, integrates vendor solutions, maintains governance and regulatory documentation, leads model lifecycle quality control, and reports performance through management dashboards. It also supports AML risk assessments, audits, regulatory examinations, and cross-functional stakeholder coordination.

Lead product analytics to inform strategy and optimize user experience: translate business questions into analysis, build reliable analytics infrastructure, run A/B tests and ML/statistical analyses, track funnels and cohorts, support 0-to-1 product launches, and communicate actionable insights to cross-functional teams.

Leads customer-facing solution implementation and pre-sales activities for SailPoint’s largest accounts. Responsibilities include discovering requirements, mapping them to SailPoint solutions, participating in foundational implementations and proof-of-value engagements, explaining architecture and best practices, collaborating with sales and cross-functional teams, and developing AI- and agentic technology demonstrations. The role becomes a technical lead and trusted advisor while guiding complex customer engagements and mentoring less experienced team members.

Lead and scale a global team of Principal Agentic Technologists supporting strategic enterprise sales. Define technical sales methodologies, demonstrations, and proof-of-value frameworks for AI agent and non-human identity security products. Partner with sales, product, marketing, and engineering leaders to support major deals, influence product roadmaps, develop enablement programs, and communicate technical value to executives and architects.

Lead technical vision and architecture for Capital One's web platform ecosystem. Drive AI-native web delivery standards, large-scale platform migrations, developer experience improvements, mentor engineers, and evangelize best practices across the organization.

Lead strategic product initiatives for Consumer and Developer Experience (CDX), perform consulting-style analysis and analytics, drive AI transformation workstreams, set long-term product vision, develop prototypes with engineering, and build cross-functional stakeholder relationships to align and execute strategic priorities.

The role involves deploying and supporting CrowdStrike's AI capabilities in cybersecurity, optimizing threat detection, and mentoring teams on AI solutions.

The Senior Data Scientist will analyze data to drive product strategy, optimize performance, and support product launches, collaborating with cross-functional teams.

Lead Amazon performance marketing strategy and execution, manage Sponsored Ads and DSP, collaborate with agencies and cross-functional teams, optimize campaigns and budgets, analyze performance with AMC/analytics, and measure commercial impact to drive ROAS and customer acquisition.

Lead end-to-end solution architecture for Payments platforms, embedding architecture across agile teams. Design scalable, resilient, secure payment systems, integrate vendors/networks, ensure compliance and operational risk controls, and guide engineering through implementation and governance.

Lead corporate communications strategy and execution: own product and model launches, media and executive communications, narratives, social presence, and major company moments. Translate technical research and product advances into compelling stories for developers, enterprise buyers, partners, and analysts. Partner cross-functionally with CEO, CMO, product, brand, and demand gen to build credibility and influence in the voice AI ecosystem.

Own and execute multi-year strategic partnerships with a hyperscaler and an AI lab, aligning technical integrations, commercial motions, and joint go-to-market plans. Coordinate cross-functional teams, run operational cadences, track measurable outcomes (pipeline, ARR, integrations), and represent partnerships to executives while driving hands-on execution and follow-through.

Lead end-to-end delivery of AI and ML services within Managed Services. Manage project planning, budgeting, execution, and quality. Mentor and develop team members, cultivate client relationships, implement model monitoring and operationalization practices, and collaborate with architects and engineers to ensure compliant, reusable AI solutions.

Lead CrowdStrike Finance & Accounting AI transformation: define operating model and governance, prioritize AI use cases, oversee POC-to-production delivery, drive enablement and change management, measure benefits realization, and report outcomes to executives.

Leads technical pre-sales and foundational implementation engagements for SailPoint SaaS solutions. Discovers customer requirements, maps them to product capabilities, delivers proof-of-value implementations, explains architecture and best practices, and collaborates with sales, product, services, and customer success teams. Develops AI and agentic technology solutions for demonstrations and customer problems, while serving as a technical and consultative advisor to customers, partners, and colleagues.