Top Senior Machine Learning Jobs in Baltimore, MD

The Sr. Machine Learning Engineer will develop and deploy ML solutions for healthcare, manage data pipelines, and work with large datasets to enhance healthcare delivery.

As a Staff Applied ML Scientist, you will develop and maintain fraud detection models, conduct research on fraud types, and collaborate across teams to drive product development and real-time decision-making.

As a Senior Applied ML Scientist, you'll develop fraud detection models, research new fraud types, and write production code while collaborating across teams to enhance SentiLink's identity verification solutions.

The Senior Data Scientist will design and implement machine learning solutions, conduct advanced statistical analyses, and manage data-related tasks, requiring a high level of expertise.

The role involves developing innovative IT solutions in healthcare, engaging with federal clients, and providing strategic guidance. Leadership in technology and solution architecture is essential, alongside collaboration with interdisciplinary teams.

Lead Joint Cyberspace Operational planning within USCYBERCOM, providing expert guidance, drafting operational plans, and overseeing integration of cyber capabilities.

Lead Data Science initiatives, build AI/ML solutions, and mentor teams in a collaborative environment, driving innovation in a leading construction equipment venture.

The Senior Product Manager will set product direction, own the development lifecycle, collaborate with teams, and ensure high-quality outputs. This role requires strong opinions on product quality and customer insights.

Lead the Decision Science function, designing ML models, overseeing experimentation frameworks, and ensuring model adoption across the company, driving operational and commercial improvements.

Lead analysis and modernization of DoD RMF processes using AI/ML, LLMs, NLP, and automation. Identify automation opportunities, develop future-state workflows, support pilots and PoCs, produce executive briefings and technical documentation, and assist workflow automation with ServiceNow, Jira, and RPA.

The Data Scientist will apply machine learning and statistical analysis to support mission analysis, develop analytical tools, and visualize complex datasets for insights.

Lead development of CNO capabilities across full project lifecycles: drive exploit development and Linux kernel exploitation, mentor teams, design secure and resilient solutions, leverage AI/ML, and deliver operational proof-of-concept exploits for clients in a fast-paced, agile environment.

Lead design and delivery of a unified, real-time billing platform that embeds AI/ML to automate reconciliations, detect anomalies, enable predictive insights, and create autonomous finance workflows across global billing operations.

Lead and scale engineering teams building Protect, a real-time multi-signal fraud detection platform. Set technical strategy, develop managers and senior engineers, deliver distributed systems and APIs, improve architecture, observability, reliability, and developer productivity while partnering with Product, Research, Security, and exec stakeholders.

As a Staff Software Engineer, you will lead the development of computer vision systems for sidewalk inspection, overseeing model lifecycle, system architecture, and mentoring while improving deployment practices.

Develop, test, and validate sophisticated actuarial and balance-sheet models for insurance liabilities, assets and derivatives. Quantify risks, collaborate with valuation/ALM/risk teams, lead projects, apply statistical and predictive methods, and build controls and efficient workflows.

The Staff Product Manager will define product strategy, lead the product lifecycle, collaborate across teams, and drive innovation in claims processing software.

The Director of System Safety oversees safety functions for autonomous vehicles, managing safety cases, deployment plans, and regulatory relationships while leading a multi-disciplinary safety team.

The Senior Technical Product Manager will lead the roadmap for Aledade's AI Data Platform, collaborating with various teams to enhance AI capabilities and improve healthcare outcomes for patients.

Lead a team of analysts to advance fraud and safety operations through analytics, ensuring robust data products and compliance while empowering stakeholders with actionable insights.

The Director of Software Engineering will lead teams in creating innovative education tech solutions, strategic planning, and optimizing software delivery processes.

Own a product area of the Content Authoring Platform end-to-end: set vision and roadmap, run continuous discovery, define and measure outcomes, partner with engineering and design to deliver features, evaluate and apply AI capabilities prudently, mentor peers, and communicate strategy and trade-offs to stakeholders.

Lead enterprise design and deployment of a global operating model for bovine IVF production. Drive standardization, SPC, automation, AI/analytics, Lean/Six Sigma, quality systems, and continuous improvement to scale consistent, high-throughput production across labs and field operations.

Lead pre-sales for Workday Financials-focused AI SaaS: run discovery, demos, technical workshops, respond to RFIs/RFPs, collaborate with Product/Engineering, support sales expansion and market initiatives.

Lead development and integration of predictive pricing models for home insurance, modernize state rating plans, support rate filings, monitor performance and recommend pricing actions, analyze competitor strategies, develop pricing for expansion, build internal pricing analytics software, and coach/mentor analysts.