Top Senior Machine Learning Jobs in Houston, TX

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.

As a Senior Associate in Business Operations, you will drive data-driven decisions, lead A/B tests, optimize user acquisition, and improve operational efficiency.

The Senior Technical Program Manager will oversee the delivery of complex projects related to Application Modernization, working closely with multidisciplinary teams, driving programs forward, and balancing product goals with engineering constraints.

The Head of Consumer Product will create engaging experiences using relational AI, focusing on user well-being rather than metrics like engagement. Responsibilities include product strategy, user research, gamification, and community building.

Lead the development of marketplace growth and automation products at Jerry.ai. Collaborate with teams to enhance quoting experiences and systems integration.

The Senior Product Manager will lead product development for quoting and automation systems, enhance partnerships, and improve accuracy integrating AI solutions.

Lead AI/machine learning innovations and advanced analytics for new vehicles. Develop statistical models for pricing and valuation, guiding experiments and communicating insights.

The Senior Data Scientist will design and implement data-driven initiatives, optimize product offerings using AI/ML, and collaborate with engineers on scalable solutions.

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.

Develop and optimize machine learning models for data extraction from tax documents, collaborate on software integration, and mentor junior team members.

As a Senior Software Engineer, you'll enhance servicing decisions with ML models, improve experimentation, and scale decisioning systems for personalized borrower experiences.

You will tackle AI challenges, develop scalable software and collaborate with teams to enhance healthcare navigation using AI solutions.

As a Senior Solution Consultant, you will drive technical sales processes, collaborate with clients and teams, and tailor presentations to meet customer business needs in the Oil and Gas industry.

The Senior Applied AI/ML Scientist will lead the design and deployment of AI solutions, collaborate on impactful features, and enhance product capabilities by leveraging advanced AI and ML techniques.

The Machine Learning Engineer develops production ML algorithms and recommendation systems, collaborates with teams, and optimizes user experiences.

The engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.

As a Senior Staff Machine Learning Engineer at Affirm, you will lead complex ML system design and implementation, mentor engineers, and drive innovative ML strategies for financial services.

Lead the ML Data Enablement team to define strategy and execution for accelerating third-party and internal data onboarding, enforce data quality and SLAs, build metadata and lineage standards, and deliver scalable data infrastructure and workflows to reduce time-to-production for ML models.

As a Staff Machine Learning Engineer, you will design AI products on Edge devices, optimize ML model performance, and work with large-scale datasets, collaborating across teams to deliver impactful solutions.

The role involves targeting and closing large enterprise clients using value-based selling, building long-term relationships, and meeting sales targets. Requires 10+ years of sales experience in data and analytics software, with a focus on operations and digital transformation.

Lead the Machine Learning Engineering team at AKASA, focusing on improving ML capabilities, model deployment, and infrastructure development, while managing and mentoring engineers.

Design, build, and scale production ML systems (including LLMs) to automate customer support and compliance workflows. Lead technical roadmaps, write high-quality Python code, mentor engineers, ensure secure, scalable architectures, and resolve complex reliability issues.