Top Machine Learning Jobs in Houston, TX

Lead and transform the Fraud Intelligence Team into a high-impact function by improving operating models, QA, tooling, and metrics; build entry-level talent programs; connect labeling to measurable fraud prevention outcomes; deliver actionable insights to Product, R&D, Analytics, and GTM; and leverage AI and automation to increase productivity and business impact.

Partner with functional leaders to translate business strategy into people strategy. Own org design, performance management, compensation, talent development, engagement, and retention. Provide coaching on career pathing, change management, and sensitive employee issues. Use people data to generate insights and recommendations, build compliant HR policies, manage global employee relations, and collaborate with People Team COEs to deliver cohesive people programs at scale.

Serve as second-in-command for Coinbase Derivatives' Market Regulation Department, leading day-to-day regulatory compliance, managing exams and audits, advising on CFTC Core Principles, reviewing surveillance escalations and enforcement actions, and coordinating cross-functional regulatory workstreams to ensure the DCM meets obligations and resolves findings timely.

Provide legal guidance on Rubrik's AI use and products, ensuring compliance with laws and contracts, drafting and negotiating AI terms, coordinating generative AI review processes, educating employees, and improving AI review controls and workflows across cross-functional teams.

The Sr. Specialist - Assistant Treasurer supports global treasury operations with a focus on liquidity management, financial risk management, and leveraging technology like AI and ML for improved forecasting and decision-making.

Lead security architect for Azure and AI technologies, defining AI security strategy, reference architectures, guardrails, and governance. Collaborates with data, privacy, infrastructure, and business teams to secure data, cloud workloads, and AI/ML solutions, perform risk assessments, and guide secure-by-design implementation across cloud and AI environments.

Design and maintain enterprise SCADA architectures, translate business needs into reusable design strategies, integrate SCADA with enterprise systems, improve system efficiency, implement cybersecurity, mentor teams, and support on-call leadership. Develop roadmaps, perform design reviews, and incorporate emerging technologies like ML/AI.

Short-term (8-12 week) contractor role to translate SOX control testing judgment into AI-assisted workflows. Co-develop and prompt AI agents, run and evaluate control tests, document failure modes, design evaluation criteria, and partner with engineering to improve agentic testing.

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

Lead technical sales strategy across full lifecycle: discovery, demos, POCs, solution architecture, BOM scoping, and executive presentations. Mentor SEs, collaborate with product and engineering to influence roadmap, provide post-sales support and training, and accurately track opportunities in SFDC to drive revenue and customer value.

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.

Own and execute multi-year strategic partnerships with a hyperscaler and an AI lab, aligning technical integrations, commercial motions, and joint go-to-market plans. Coordinate cross-functional teams, run operational cadences, track measurable outcomes (pipeline, ARR, integrations), and represent partnerships to executives while driving hands-on execution and follow-through.

Design, develop, and deliver high-quality, secure production software. Lead feature design and implementation, author technical documentation, perform code reviews, troubleshoot production issues, support on-call escalations, and collaborate with cross-functional teams to improve scalability, reliability, and security.

Develop reusable ML tooling and libraries, collaborate with data scientists to productionize models, build services and APIs (Docker/Linux), follow engineering best practices, and support project lifecycle from intake to maintenance.

Lead development and maintenance of analytics, forecasting, and market-intelligence models for ERCOT/PJM. Build data pipelines and dashboards, support trading, risk, supply and retail teams with scenario analysis, exposure reporting, and pricing. Apply SQL/Python, ML, and generative AI to automate workflows and improve forecasts; manage analytics projects end-to-end and communicate findings to technical and non-technical stakeholders.

Develop ML/RL models and infrastructure for AV simulations, optimize training loops, and support project timelines in autonomous vehicle tech.

Lead petrophysical data management and OSDU integration initiatives: ingest, QC, transform, and align well logs and subsurface datasets. Support OSDU APIs, cloud deployments (AWS/Kubernetes), Python ETL, data governance, and cross-functional collaboration to enable analytics, ML, and reservoir workflows.

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

Work on process consulting projects (profit improvement, operational excellence, troubleshooting, decarbonization). Support project teams, engage clients, perform process simulation and modeling, identify sales opportunities, maintain CRM data, and travel (~25%).

Lead design, implement, and optimize Advanced Process Control (APC) solutions using Yokogawa tools. Perform MPC/RTO/MVC modeling, integrate APC with DCS/SIS, analyze plant data, provide tuning/support, lead customer projects, mentor junior engineers, and contribute to R&D and digital transformation initiatives.

Support finance through budget-to-actual analysis, P&L and balance sheet reviews, pricing and margin analysis for homes and closed jobs, maintain and enhance the consolidated financial model, lead variance review sessions, assist annual budgeting and data warehouse uploads, perform market analysis of residential construction peers, and identify AI-driven automation and forecasting improvements.

Partner with healthcare clients to design, prototype, and deploy production-grade AI/LLM solutions. Lead discovery, architecture, cloud integration, and delivery while troubleshooting distributed systems and driving measurable client outcomes.

Build, test, and maintain software across full-stack, backend, infrastructure, data pipelines, and ML infrastructure to support autonomous trucking. Develop web interfaces, backend services, APIs, and tooling; improve reliability, observability, CI/CD, and deployment; participate in code reviews, debugging, and cross-team collaboration while learning new technologies.

Design, build, and deploy production-grade ML systems for ICS/xOT cybersecurity, including threat detection, anomaly detection, NLP/LLM applications, and scalable data pipelines with observability and MLOps practices for cloud and on-prem environments.