Top Remote Machine Learning Jobs in Washington, DC

Lead the Data Engineering team at Federato, manage delivery and processes while ensuring alignment across Data Science, Product, and Customer Success.

The Director of Product Management will lead a team to manage CAMP's Aircraft Health Management platform, driving product strategy, modernization, and execution with a focus on customer outcomes and market innovation.

The Sr. Director of Digital Optimization will lead strategies for CRO and personalization, driving user engagement and business growth across Risepoint's multi-brand ecosystem. Responsibilities include building scalable testing programs, leveraging analytics for insights, and leading cross-functional collaborations.

The role involves producing insights for AI product management, advising clients on AI strategy, and developing business approaches for AI technologies. The analyst will work closely with executives and product managers, driving AI investments and guiding product lifecycle management.

As a P&C Actuary, you will assess insurance risks, review regulatory compliance, support audit teams, and document findings while nurturing client relationships and contributing to practice development efforts.

As a P&C Actuary, you will assess risks for insurers, support audit teams, and maintain compliance with regulations, while growing client relationships and improving tools for efficiency.

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 AI transformation initiatives in procurement, creating impactful research, developing strategies, and advising clients on AI integration and analytics for business outcomes.

The Credit Analyst will develop credit risk strategies, manage decision strategies, analyze credit trends, and collaborate with multiple teams to ensure compliance and profitability in credit processes.

Lead the development of machine learning systems for Cedar's Personalization Engine, focusing on ML modeling, MLOps, and team management to drive healthcare solutions.

The role involves producing research, leading AI transformation in procurement, engaging clients with actionable insights, and mentoring a team of analysts.

Develop scalable machine learning services for data enrichment, managing the ML lifecycle from model training to deployment, and ensuring performance and reliability standards.

The Digital Inside Sales Specialist will identify and close digital transformation opportunities in AI, ML, and automation, focusing on B2B sales within targeted accounts while collaborating with internal teams for technical consultation.

The Product Manager at Vic.ai will lead product strategy and development for AI-driven financial products, collaborating with teams to meet customer needs and improve user experience. Responsibilities include market research, UX championing, and data-driven decision-making.

As a Machine Learning Research Engineer, you'll create critical AI features for the Archie product, collaborating with experts and transitioning AI prototypes into real-world applications. You'll develop AI tools for engineering design and work closely with research scientists.

The Vice President, Employer Business Development & Sales will lead and expand a new business group, focusing on sales and relationships with self-insured employers and brokers, utilizing advanced analytics in healthcare benefits management.

The Senior Machine Learning Engineer will develop, deploy, and optimize machine learning applications, collaborating with cross-functional teams to enhance AI services.

Lead and develop a team in creating AI/ML solutions for transforming communications in real estate. Drive strategy and implementation of new Generative AI solutions.

The Product Manager will shape the outfitting platform, integrate AI capabilities, and define strategies to enhance client personalization and experience.

As a Data Science Intern, you will apply statistical and machine learning techniques to solve problems in the insurance industry, collaborate with experienced data scientists, and present your findings to stakeholders.

The Senior AI Consultant will drive the implementation of AI solutions, collaborate with clients, enhance business strategies, and support customer prospecting and documentation tasks.

The AI Product Manager will lead product strategy for AI tools in the utilities sector; managing the product roadmap, engaging with clients, and ensuring successful product delivery.

The Director of Machine Learning Engineering is responsible for leading AI strategy, overseeing ML solutions, driving innovation, building teams, and ensuring operational excellence in ML systems.

As a Senior Staff Machine Learning Engineer, you will drive AI product development, collaborate with cross-functional teams, and enhance ML models at scale.

As an AI Engineer, you'll design and develop AI applications, work with consultants to enhance operations, and continuously learn new AI developments.