Machine Learning Engineer Jobs in Houston, TX
Machine Learning Engineer jobs in Houston are concentrated in the Energy Corridor, Midtown, and the Texas Medical Center, with strong demand from energy tech, healthcare AI, and aerospace sectors. Employers hiring 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 JobsMachine Learning 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
Machine Learning Engineer Jobs in Houston: Frequently Asked Questions
How do I get a machine learning engineer job in Houston?
Houston's strongest hiring for machine learning engineers comes from energy companies digitizing operations, health systems building predictive tools, and aerospace contractors in the Clear Lake area. Candidates who can show applied experience with time-series data, computer vision, or NLP get the most traction locally. Targeting the Energy Corridor and Texas Medical Center gives you access to the deepest pools of relevant openings in the city.
Which companies hire machine learning engineers in Houston?
Employers hiring machine learning 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 firms, major hospital networks, and defense contractors, alongside a growing number of startups in the Greenway Plaza and Midtown tech corridors.
Are there remote machine learning engineer jobs in Houston?
Yes, though availability varies: machine learning engineering is largely desk-based and analytical, making it more remote-friendly than hands-on technical roles. About 50% of machine learning engineer openings tied to Houston are remote or hybrid as of June 2026, with the highest flexibility found in software-focused and SaaS-adjacent roles. Model deployment and MLOps work tied to on-premises infrastructure at energy or healthcare employers tends to require more in-person presence.
How can I get a machine learning engineer job in Houston with little or no experience?
The most realistic entry path in Houston is through a data analyst or junior data scientist role at one of the city's large energy companies or hospital systems, which regularly hire candidates who can demonstrate Python skills and a solid portfolio project. Rice University and the University of Houston both have strong local recruiting pipelines, and energy-tech startups in Midtown and Greenway Plaza often give early-career candidates more hands-on ML exposure than larger firms.
Which industries hire the most machine learning engineers in Houston?
Most machine learning engineer openings in Houston sit in Energy, Banking & Financial Services, and Consulting & Professional Services, per current listings on Migrate Mate as of June 2026. Houston's concentration of upstream oil and gas companies, one of the largest medical centers in the world, and NASA-adjacent aerospace contractors creates unusually specialized demand for ML talent compared to other major U.S. cities.
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