Top Machine Learning Jobs in Washington, DC

Lead design and delivery of AI and GenAI data solutions for Tax, including analytical modeling, prompt engineering, ML/NLP, Azure AI Services, LangChain, and RAG. Manage and coach teams, validate outcomes with clients, and translate raw data into actionable insights to drive business growth.

Lead design, development, and deployment of AI/GenAI solutions for Tax. Build end-to-end AI architectures using Azure AI Services and Python, apply ML/NLP and LLMOps, manage vector databases and agent systems, evaluate LLMs, and mentor project teams to deliver data-driven insights.

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.

Lead teams applying advanced data science and machine learning to large-scale claims, clinical, and member data to generate actionable insights that reduce cost of care and improve population health. Manage client relationships, mentor staff, ensure project delivery and quality, develop payer-focused analytics products, present findings to senior stakeholders, and promote continuous improvement and knowledge sharing.

Build and operate scalable Golang backend services and APIs for a multimodal ML platform handling video, image, and document processing. Integrate ML/LLM inference, agentic workflows, and vector retrieval (Milvus). Deploy and manage services on Kubernetes with Terraform on AWS, ensure observability, reliability, and security, and collaborate with ML engineers to productionize pipelines and run on-call/incident response.

Develop reusable ML tooling and libraries, collaborate with data scientists to productionize models, build services and APIs (Docker/Linux), follow engineering best practices, and support project lifecycle from intake to maintenance.

Design and implement scalable data pipelines and ML algorithms to optimize StackAdapt's digital advertising platform. Collaborate with teams to solve complex problems.

Lead design and oversight of end-to-end geospatial data science and remote sensing workflows; translate scientific questions into reproducible methods; validate and document analyses; mentor technical staff; guide model development, quality control, and delivery for environmental and conservation applications.

Lead the development and implementation of AI initiatives across the Department of Defense, ensuring ethical, safe, and effective AI adoption while maintaining compliance with principles of responsible AI.

Develop and lead data science solutions: build ETL pipelines, clean and model structured/unstructured data, design algorithms and automated analytics, produce visualizations, use ML methods, collaborate with clients and mentor teammates to turn data into actionable insights for government and commercial problems.

Work with clients to formulate questions, explore and clean structured and unstructured data, build predictive models and algorithms, develop automated analytic software and ETL pipelines, and create visualizations and insights to support decision-making in intelligence and commercial contexts.

Lead development of advanced analytics and AI/ML solutions (including LLMs/agentic AI) for classified clients. Guide teammates, translate complex data into visual and narrative deliverables, evaluate model performance, and advise leadership on risks and decision criteria.

Lead advanced data science and AI projects for national security: evaluate AI methodologies, perform TEVV and risk mitigation, analyze complex datasets, produce technical narratives, guide teams, and maintain technical documentation aligned with governance.

Develop and implement AI and ML systems for Defense and Intelligence sectors, focusing on deployment, scalability, and integration of technologies.

Design, create, and implement AI and ML systems for Defense and Intelligence sectors, ensuring scalability and integration into various environments.

Lead Audit’s AI, product, and data science strategy to build enterprise-grade AI/analytics/automation products and a unified audit platform. Drive platform architecture, model lifecycle, governance, and adoption while growing a high-performing team. Partner with Technology, Enterprise AI, risk, and business stakeholders to enable continuous monitoring, automated evidence generation, improved risk detection, and measurable efficiency and insight gains across the audit lifecycle.

Lead complex data exploration and analytics for DoD/IC, develop and apply statistical and AI/ML models, evaluate AI methodologies, perform TEVV and AI risk mitigation, and guide teams working on classified networks to produce actionable intelligence.

Lead advanced data exploration and analytics for national security clients: evaluate AI and LLM methodologies, develop TEVV and ML validation in CI/CD, visualize risks for leadership, guide teams, and work on classified networks to support DoD/IC missions.

Lead complex analytics projects for DoD/intelligence customers by developing and evaluating analytic methodologies, designing domain ontologies and knowledge graphs, applying semantic web standards, enabling semantic data retrieval and reasoning, integrating diverse data sources for interoperability, and guiding teams to produce actionable intelligence.

Work with clients to analyze structured and unstructured data, perform data cleaning and exploration, develop predictive models and NLP/text-mining solutions, visualize results, and mentor teams. Serve as a technical leader identifying data-driven opportunities and translating insights into actionable recommendations. Requires ability to obtain Secret clearance.

Mid-level data scientist who partners with clients (DoD/IC), analyzes large structured and unstructured datasets, evaluates and tests AI/ML models, mentors teammates, and delivers actionable insights to leadership to improve data science capability.

Lead a forward‑deployed AI solutions team to translate enterprise AI capabilities into business outcomes. Partner with executives to co‑design and deliver priority use cases, drive AI productivity tool adoption, establish repeatable AI solution patterns, and feed learnings back into the AI platform and governance. Balance rapid delivery with enterprise rigor while coaching teams and managing stakeholders.

Lead and manage AI-focused consulting engagements: define hypotheses, oversee analytics and data collection, translate client needs into technical requirements, support ML/generative AI solution delivery from proof-of-concept to production, build executive relationships, and coach consultants to deliver measurable business impact.

Work with clients to translate data into actionable insights using machine learning, AI, and IoT data. Lead development of algorithms, automated analytic software, ETL pipelines, and data visualizations; integrate FOSS/COTS and support model deployment. Must hold TS/SCI clearance.

Lead the Accounting & Finance Reporting, Data & AI Center of Excellence: set strategy, governance, roadmap, and deliver analytics, automation, and AI solutions. Own intake, prioritization, implementation, adoption, and value realization across financial processes while partnering with IT and mentoring the team.