AI ML Engineer Jobs in Houston, TX
AI ML Engineer jobs in Houston are concentrated in the Energy Corridor, Greenway Plaza, and Midtown, where demand is strong across energy tech, healthcare AI, and aerospace. Companies actively posting right now include Vitol, Capgemini, and Crown Castle. Scan the live roles below and apply to whichever ones fit.
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1Chevron is accepting online applications for the role of Senior Finance Analyst - AI & ML, through June 26, 2026, 11:59pm Central time.
The Senior Finance Analyst - AI & ML is a role sitting at the intersection of rigorous quantitative finance and frontier machine learning. You will architect and deploy production-grade AI & ML systems that materially shape capital allocation decisions, financial forecasting, and risk modeling across the organization. This is not a support function - you will own the full analytical lifecycle, from problem formulation to model deployment, and your work will be directly visible to senior leadership. This role will be based in Houston, TX. We are looking for candidates who possess a rare blend of deep theoretical knowledge and battle-tested engineering skills.
Responsibilities include, but are not limited to, the following:
Design, build, and own advanced machine learning and statistical models that directly inform corporate financial planning, capital allocation, and strategic risk assessment.
Develop predictive and generative AI systems for financial forecasting, scenario analysis, anomaly detection, and portfolio optimization.
Translate complex, ambiguous business problems into mathematically rigorous AI/ML solutions with clear, quantifiable impact.
Build and maintain production-ready ML pipelines — from data ingestion and feature engineering through model training, validation, deployment, and monitoring.
Partner with finance leadership, data engineering, and technology teams to integrate AI/ML outputs directly into decision-making workflows.
Establish and champion model governance practices, including interpretability, bias assessment, and auditability frameworks appropriate for regulated financial environments.
Continuously evaluate and adopt frontier AI/ML methodologies — large language models, time-series forecasting, causal inference, reinforcement learning — where applicable to finance.
Mentor junior analysts and contribute to building a rigorous, intellectually demanding team culture.
Required Qualifications:
Education: Bachelor’s degree in Mathematics, Statistics, Physics, Computer Science, Data Science, Quantitative Finance, or another highly quantitative discipline. Master’s or PhD strongly preferred.
Experience: 5–7+ years building and deploying advanced AI/ML solutions in production environments. Demonstrated success applying deep technical expertise in mathematical, statistical, engineering, or finance domains.
Proven track record of owning complex end-to-end ML projects from ideation to measurable business impact.
Mastery of core and advanced techniques: Python (expert), PyTorch/TensorFlow/JAX, SQL, probabilistic programming (e.g., Pyro, Stan), causal inference, time-series analysis (including modern state-space and transformer-based models), optimization (linear/non-linear, stochastic), and large-scale data engineering.
Deep understanding of corporate finance principles (or the ability to learn them at exceptional speed) combined with the ability to challenge conventional financial thinking with data-driven rigor.
Exceptional communication skills – you can explain sophisticated models to CFOs and Boards while maintaining technical depth with peers.
Relocation will be considered.
Expatriate assignments will not be considered.
Chevron regrets that it is unable to sponsor employment Visas or consider individuals on time-limited Visa status for this position.
U.S. Regulatory notice:
Chevron is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, sex (including pregnancy), sexual orientation, gender identity, gender expression, national origin or ancestry, age, mental or physical disability, medical condition, reproductive health decision-making, military or veteran status, political preference, marital status, citizenship, genetic information or other characteristics protected by applicable law.
We are committed to providing reasonable accommodations for qualified individuals with disabilities. If you need assistance or an accommodation, please email us at emplymnt@chevron.com.
Chevron participates in E-Verify in certain locations as required by law.
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Find AI ML Engineer JobsAI ML Engineer Job Market in Houston
Who's Hiring
- Vitol4

- Capgemini2

- Crown Castle2

- Baylor College of Medicine2

- CORVA1
Top Industries Hiring
- Energy6
- Banking & Financial Services4
- Consulting & Professional Services4
- Technology & Software3
- Investment & Asset Management3
AI ML Engineer Jobs in Houston: Frequently Asked Questions
How do I get a ai ml engineer job in Houston?
Focus your search on Houston's energy tech, healthcare AI, and aerospace sectors, which concentrate hiring in the Energy Corridor, Texas Medical Center corridor, and Greenway Plaza. Candidates with hands-on experience in computer vision, NLP, or predictive modeling for industrial applications stand out locally. Tailoring your portfolio to Houston's dominant industries, rather than generic web or consumer tech, gives you a meaningful edge over applicants targeting the national market.
Which companies hire ai ml engineers in Houston?
Employers hiring ai ml engineers in Houston right now include Vitol, Capgemini, and Crown Castle, based on current listings on Migrate Mate as of June 2026. Houston's hiring base skews toward large energy operators, hospital systems, and defense contractors, alongside a growing layer of AI-native startups in the Greentown Labs and Ion district ecosystems.
Are there remote ai ml engineer jobs in Houston?
Yes, ai ml engineer work is generally well-suited to remote arrangements given its desk-based, analytical nature. About 50% of ai ml engineer openings tied to Houston are remote or hybrid as of June 2026, reflecting strong flexibility across software and data-heavy roles. Model development and research positions tend to be the most remote-friendly, while roles involving on-site hardware, robotics, or real-time industrial systems typically require a Houston presence.
How can I get a ai ml engineer job in Houston with little or no experience?
The most realistic entry path in Houston is landing a data analyst or junior data scientist role at one of the city's large energy companies or hospital networks, then transitioning into ML engineering as you build a project portfolio. The Ion district's startup community and Rice University's research partnerships regularly produce entry-level openings. Contributing to open-source projects and building domain-specific demos in energy or healthcare signals genuine local relevance to Houston hiring managers.
Which industries hire the most ai ml engineers in Houston?
The sectors hiring the most ai ml engineers in Houston are Energy, Banking & Financial Services, and Consulting & Professional Services, based on current listings on Migrate Mate as of June 2026. Houston's concentration of major oil-and-gas operators, the Texas Medical Center, and NASA's Johnson Space Center creates unusually deep demand for ML talent with domain expertise in industrial optimization, medical imaging, and mission-critical systems.
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