Top Senior Machine Learning Jobs in Houston, TX

The Senior Engineering Manager will lead multiple growth engineering teams to build products, improve engineering quality, and drive significant business impact, focusing on user growth through innovative strategies while ensuring high-quality execution under deadlines.

Lead deep-dive analyses into account takeover and fraud, design and implement real-time defenses, collaborate with product/engineering/data science, run incident response, and deliver actionable insights to protect users while preserving UX and core metrics.

As the Senior Product Manager, you will lead the integration of insurance carriers, optimize the quoting process, ensure data accuracy, and enhance the user experience for car insurance shoppers.

As a Senior Associate in Business Operations, you will lead data-driven initiatives, partner with teams for user acquisition, and optimize business strategies through experiments and automation.

Wolters Kluwer seeks clinicians as AI Strategists to enhance clinical AI systems, ensuring they are aligned with patient care through clinical insights, validation, and collaboration across teams.

The Senior Business Development Engineer analyzes asset acquisition opportunities, combines technical data for evaluations, and presents recommendations to executives.

The Senior Software Engineer will design, develop, and deliver enterprise-level applications, lead projects, and guide junior team members while utilizing diverse technologies to solve client challenges.

The Principal Product Manager will lead the Underwriting team to improve credit risk models, manage vendor relationships, and analyze portfolio performance.

Lead machine learning initiatives to enhance underwriting model accuracy. Design and implement advanced training strategies and optimize workflows. Mentor engineers and influence modeling strategy.

The Director leads AI and emerging technology risk consulting, advising on governance, ethical use, and developing risk frameworks, while managing client engagements and sales strategies.

The Engagement Manager leads client projects, manages teams, ensures timely delivery, develops client relationships, identifies business opportunities, and provides thought leadership.

The role involves designing, optimizing, and deploying machine learning models for edge environments, focusing on computer vision. The engineer will collaborate with teams to integrate models and improve inference efficiency while mentoring peers and upholding company values.

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

Lead the SDL and Cash Line ML teams, developing innovative machine learning models to improve lending solutions and expand credit access. Collaborate with cross-functional teams to drive product strategy and enhance model performance, while mentoring a team of ML scientists.

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

The Senior Software Engineer will develop ML training pipelines, maintain cloud systems, and optimize the ML lifecycle for dental products.

Lead the machine learning and personalization efforts at Babylist, managing a team focused on enhancing product recommendations, search, and revenue through ML initiatives.

The Senior ML Ops Engineer will build and maintain infrastructure for AI/ML at scale, manage machine learning models, and support team initiatives while ensuring code quality and engineering standards.

The Director of Strategic Solutions will consult with global clients, develop AI use cases, manage customer engagement, and drive business development with collaborative teams.

The Engagement Manager manages project execution, collaborates with technical teams on AI solutions, develops client relationships, and coaches consultants.

The VP of Marketing will lead marketing strategy and demand generation, enhance brand visibility, and align marketing with business objectives while building a team and driving growth.

Lead the design, development, and deployment of machine learning models, collaborating with teams and mentoring engineers. Focus on scalable ML workflows.

The Principal ML Engineer at Agero will develop and productionize a Dispatch System using ML models, optimize decision-making processes, and lead a team to improve operational performance.

Lead design and execution of functional, performance, and automated tests for Aspen products. Create test strategies, automation scripts, and benchmarking; collaborate with R&D and product teams; triage defects; support cross-site communication and deployment/scale testing.

The Engineering Manager will lead a team of Data Scientists and ML Engineers to build a Dispatch Optimization platform, focusing on model deployment and operational excellence.