Top Senior Machine Learning Jobs in Washington, DC

Serves as a senior technical advisor to federal and homeland security clients. Develops technology strategies, modernization roadmaps, enterprise architectures, and end-to-end solutions spanning cloud, applications, data, cybersecurity, AI/ML, and integration. Leads technical workshops, assessments, proof-of-concepts, and architecture discussions; evaluates emerging technologies and guides implementation. The role also supports consulting business development, strategic initiatives, client relationships, and company growth.

Develops data science and business intelligence solutions supporting IT, cybersecurity, and finance data. Builds Power Platform dashboards, applications, automations, ETL processes, APIs, predictive risk models, and AI/ML capabilities. Performs statistical analysis, data cleansing, visualization, data warehousing, and cybersecurity risk assessment. Creates data collection tools, integrates enterprise data sources, documents solutions, and delivers actionable insights to agency leadership and business stakeholders.

Lead complex data exploration, analytics, and AI evaluation projects supporting Department of Defense and national security missions. Develop scalable testing libraries, assess advanced analytics and LLM performance, and create TEVV and AI risk-mitigation procedures. Communicate technical findings and system risks to nontechnical leaders, guide mission teams, and work on classified networks. Responsibilities include evaluating AI robustness, fairness, compliance, and operational readiness.

Own Air Force territory strategy, pipeline, bookings, and multi-year account growth. Develop executive relationships, secure programmed funding, convert prototypes into deployed capabilities, and lead renewals and expansions. Draft white papers and OTA responses, structure complex deals, navigate defense acquisition, coordinate with systems integrators and primes, and translate mission needs into agentic AI solutions. Collaborate with delivery, technical, product, capture, and partner teams while maintaining customer health and commercial accountability.

Leads product vision, strategy, and roadmap for Altana’s public-sector offerings spanning customs, border management, economic security, defense procurement, and supply-chain resilience. Oversees product teams and partners with engineering, design, data science, and government affairs to build AI-enabled workflows, policy tools, integrations, and trusted-trade capabilities for government customers across multiple jurisdictions.

Own Navy territory strategy and bookings, building qualified pipelines and converting AI prototypes into funded, multi-year deployments. Develop executive relationships across Navy organizations, program offices, fleets, primes, and systems integrators. Lead white papers, OTA responses, proposals, deal structures, teaming agreements, renewals, and expansions. Translate mission needs into agentic AI solutions with technical teams and navigate defense acquisition, budgeting, and production pathways.

Leads the design, development, integration, testing, deployment, and maintenance of mission-critical software applications and systems. Provides technical leadership, develops architectures, resolves complex defects, evaluates performance, ensures security and quality compliance, supports configuration and release management, collaborates across multidisciplinary teams, and mentors junior engineers.

Manage complex economic and financial datasets; develop, evaluate, and maintain empirical, econometric, and machine-learning risk models; lead data and code architecture; create Power BI visualizations; identify novel data sources; support research presentations; and coordinate, onboard, and coach research analysts.

Provides technical account management for enterprise customers using Samsara’s IoT platform. Builds customer relationships, troubleshoots APIs, hardware, software, and AI technologies, manages significant incidents, aligns solutions with business needs, maintains account records, and serves as a trusted technical advisor. Collaborates with internal teams, supports customer growth, contributes to TAM team development, and provides occasional travel and after-hours coverage.

Conducts all-source intelligence analysis for defense and national security missions. Processes classified and unclassified data from multiple sources, identifies patterns and threats, forecasts developments, and produces operational and strategic assessments, reports, and briefings. Applies Intelligence Community tradecraft standards, collaborates with analysts and stakeholders, advises customers, supports collection and operational requirements, and uses advanced analytics and emerging data capabilities to improve intelligence products.

Design and deploy scalable AI solutions for enterprise customers, build integrations and reusable tools, lead technical workshops, troubleshoot production issues, and influence product improvements through customer feedback. The role combines software engineering, customer engagement, architecture, and production support across AI applications and distributed systems. Work may involve U.S. government classified environments and requires U.S. person status.

As an Enterprise Account Executive at Salesforce, you will drive revenue growth by leveraging AI-driven solutions, understanding client needs, and demonstrating how Agentforce can solve business challenges while fostering client relationships.

Develops data-driven solutions by exploring, cleaning, analyzing, visualizing, and modeling structured and unstructured data. Leads algorithm and system development, applies machine learning, natural language processing, and AI models, and collaborates with clients and teams to translate complex data into actionable insights. The role requires extensive experience, a master’s degree, and TS/SCI clearance with polygraph.

Manages multiple cyber incident response and electronic discovery review matters from proposal through final billing. Develops review protocols, workflows, quality-control processes, budgets, timelines, and client deliverables; supervises review managers and teams; supports AI-assisted review and technical training; advises clients on review strategy, privilege, PII/PHI, and business-sensitive information; and contributes to business development and sales.

Apply established machine learning techniques—including clustering, classification, and anomaly detection—to ICS/OT cybersecurity data. Integrate model outputs into batch and near-real-time pipelines, evaluate third-party models, maintain reliable data contracts and observability, and troubleshoot production issues such as data drift and output quality. Collaborate with AI engineers, data engineers, and product teams while clearly communicating model behavior, uncertainty, and downstream use.

Provides strategic legal counsel to MedTech teams across medical device regulatory strategy, clinical research, approvals, market access, commercialization, promotion, post-market surveillance, quality compliance, inspections, field actions, healthcare interactions, privacy, cybersecurity, and fraud and abuse laws. Collaborates with global legal, regulatory, compliance, and business teams and supervises promotional-material review. Travel within the United States is required up to 10% of the time.

Define and own the technical vision, product strategy, roadmap, data strategy, and AI integration for CrowdStrike’s Next-Gen SIEM and log management products. Translate customer, market, and threat intelligence into shipped capabilities; lead cross-platform integration across endpoint, cloud, identity, and exposure products; and articulate the platform consolidation narrative. Engage executives, customers, analysts, sales, engineering, and product teams while driving detection, investigation, response automation, and cybersecurity thought leadership.

Own and deliver goals for ML training and serving infrastructure. Lead engineers through ambiguous, distributed-systems challenges; design, develop, and operate highly available backend platforms; monitor reliability and support on-call operations. Collaborate with product and engineering stakeholders, improve code and design standards, identify and resolve technical issues, and mentor team members. The role focuses on scalable systems that enable production model training and serving.

Own and deliver quarterly engineering goals for Affirm’s ML Feature Platform. Design, develop, and launch scalable backend systems, lead engineers through ambiguous problems, collaborate with product and design stakeholders, improve platform reliability and availability, support on-call operations, establish quality standards, and mentor team members. The role focuses on highly available distributed systems supporting machine learning feature creation, storage, serving, and offline backfilling.

Build and maintain core infrastructure for developing, training, evaluating, deploying, and operating machine learning models and pipelines for Atlassian’s GenAI products. Solve complex software infrastructure and architecture challenges, lead engineers through technical projects from design to launch, and collaborate with internal teams and customers. The role involves large-scale distributed systems, data processing, cloud platforms, CI/CD, and machine learning lifecycle support.

Lead complex data exploration, statistical modeling, and analytics projects for national security, DoD, and intelligence clients. Apply AI and machine learning methods, operationalize models, and develop predictive analytics using SQL, R, Python, cloud platforms, containerization, and data architecture. Translate complex findings into visual, written, and verbal products, evaluate AI system performance, and contribute to technical publications and conferences while working with classified data and networks.

Develops Power Platform applications, dashboards, automations, data integrations, ETL processes, and business intelligence solutions for a federal client. Builds predictive risk models, applies AI and machine learning to business data and documentation, develops cybersecurity and financial risk assessment tools, and supports data collection, cleansing, visualization, documentation, and reporting. The role requires an active Top Secret clearance and on-site work in Washington, DC.

Leads complex data and technology transformation programs for financial services clients from planning through implementation. Coordinates cross-functional workstreams, establishes governance, manages dependencies and risks, provides executive reporting, and translates technical issues into business implications. Acts as a client advisor while contributing to transformation strategy, proposals, business development, and colleague development. The role requires strong technical understanding of modern data ecosystems without being primarily hands-on engineering.

Develop and deploy production machine learning systems for national security applications. Build Azure-based data and ML pipelines, anomaly detection and predictive models, agentic AI and RAG solutions, and cloud-native processing workflows. Support Docker and Kubernetes deployments, CI/CD, infrastructure as code, monitoring, troubleshooting, and optimization. Evaluate emerging AI technologies, communicate technical recommendations, and collaborate with government clients and cross-functional teams.

Drives HPE private cloud AI sales across a multi-state territory, creating pipeline, developing net-new business, engaging executives, and closing complex enterprise opportunities. Advises customers on generative AI, infrastructure, hybrid cloud architectures, economics, security, and governance. Coordinates account managers, architects, services, partners, and executives through discovery, validation, business-case development, negotiation, and close while serving as an AI sales subject-matter expert.