Top Senior Machine Learning Jobs in Houston, TX

Lead development and deployment of advanced AI/ML models for sustainability and energy transition projects. Collaborate with domain experts to define AI-ready problems, manage end-to-end data and modeling pipelines, integrate solutions into digital twins and operations, mentor team members, publish and patent findings, and drive internal and external collaborative research while maintaining lab safety.

The Senior Data Scientist will analyze data to drive product strategy, optimize performance, and support product launches, collaborating with cross-functional teams.

The Senior Product Manager will oversee the strategy and development of telematics data products, manage cross-functional teams, and ensure product viability and market alignment through customer insights and technical fluency.

Lead the development of high-temperature refining systems, design and validate thermal process flowsheets, optimize metal recovery and energy efficiency, and collaborate with R&D teams for process automation.

Lead the development and deployment of chemical refining processes, oversee controls programming, manage equipment and teams, and support project execution and business development.

The Director of Sales for Energy will lead customer relationships and technical guidance, ensuring successful implementation of Quvia's connectivity solutions while collaborating with technical teams.

The Senior Staff Machine Learning Scientist will lead research initiatives in computer vision and multimodal understanding, develop novel models, and translate research into practical applications while mentoring team members.

As an ML Ops Infrastructure Engineer, you will design CI/CD pipelines for ML, maintain deployment systems, and implement monitoring while collaborating with research teams to ensure model quality and performance.

As a Systems Architect, you'll define and drive the infrastructure architecture for AI/ML workloads, design multi-cloud strategies, manage compute orchestration and storage systems, and lead capacity planning, while also collaborating with engineering leadership.

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

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 Staff Machine Learning Engineer will design and build scalable ML systems, mentor engineers, and drive AI strategy at SailPoint, focusing on AI-powered identity security solutions.

The Sr. Engineering Manager will lead AI initiatives in Gas Power Engineering, overseeing teams and enhancing engineering productivity through advanced AI capabilities and Lean principles.

The Sr. Manager of Information Risk & Controls drives the risk management evolution by leading risk identification, developing frameworks, and collaborating with teams across Invesco.

Senior product engineer owning end-to-end product surfaces for a computer vision platform. Ship features from idea to production, prioritize roadmap, design UX details, integrate APIs, improve annotation and model-assisted labeling, and collaborate with engineering and users to drive product impact.

Contract role combining actuarial science, risk management, and AI to improve portfolio performance. Responsibilities include loss and combined ratio analysis, portfolio risk assessment, catastrophe and exposure modeling, stress testing, and integrating ML to enhance pricing, reserving, and risk selection while collaborating with underwriting, finance, and product teams.

Design, implement, and optimize AI-powered solutions to support financial compliance and controls. Monitor GAAP/IFRS adherence, automate controls and reporting, support internal/external audits, and manage complex accounting areas like revenue recognition and lease accounting while collaborating with finance, audit, and technology teams.

Define and drive the AI and data product roadmap for a regulated B2B SaaS platform. Identify and validate AI-first product opportunities, lead discovery and commercialization, partner with engineering and data science to deliver explainable, auditable AI capabilities, and enable AI across existing products. Engage customers and executives to prioritise use cases, measure outcomes, and establish repeatable launch and governance practices.

Develop, deploy, and operationalize analytical and ML/AI models for cybersecurity use cases. Collaborate with product and engineering teams to enable and migrate production workflows, work with databases and data architectures, create visualizations and reports, adopt new cloud orchestration and data virtualization technologies, and mentor junior cyber data scientists.

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

Lead customer implementation projects through strategic account management, driving value and mentoring technical teams while navigating complex stakeholder environments.

Pre-sales technical lead for federal accounts who builds and delivers AI/ML and GenAI demos, designs compliant solutions (FedRAMP/DoD IL/NIST/FISMA), supports pilots/proofs, advises on data readiness and security, and partners with sales to drive federal adoption.

Lead strategy and roadmaps for platform offerings that support robotics and autonomous systems. Drive customer discovery, define requirements and metrics, coordinate cross-functional execution, ensure production readiness, and lead adoption, rollout, and stakeholder communication for platform capabilities.

Build and deploy production full-stack systems that connect geospatial ML/vision workflows to web interfaces. Implement Python/Go microservices, manage AWS/Kubernetes infrastructure, design Postgres schemas for imagery, develop React geospatial UIs, lead ETL and deployment, and collaborate with operations and ML teams across the project lifecycle.

Lead partner marketing with consulting and systems integrators to drive joint GTM plans, co-marketing programs, repeatable partner collateral, customer stories, partner communications, and measurable pipeline growth.