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Machine Learning Engineer

Job in Houston, Harris County, Texas, 77246, USA
Listing for: Turleyway
Full Time position
Listed on 2026-01-14
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer, Data Scientist, Data Analyst
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below

ML Engineer - Energy & Commodities - Houston, USA - Full-time

Are you looking for a career-defining opportunity to shape the future of AI/ML in a Commodities Trading business?

About You
  • Experience with in Energy or Commodities is essential
  • Expert‑level Python skills — passionate about coding and problem‑solving daily.
  • MSc or PhD in Computer Science, Data Science, Machine Learning, or a related field.
  • Demonstrable experience in Data Science / Machine Learning, developing and deploying Machine Learning models, preferably in NLP, LLM and Generative AI domains
  • Experience with ML frameworks and libraries such as Tensor Flow, Py Torch , or Transformers
  • Proven track record of building, deploying, and scaling models in production.
  • Strong communication and stakeholder management skills — able to influence at C-suite level and with Trader’s.
What You’ll Do
  • You will design, prototype, and deploy models that tackle some of the most complex challenges in commodities, energy trading, and risk analytics.
  • As an ML Engineer you will work closley with a lean team of talented ML engineers, data scientists, software engineers to deliver machine learning models and applications.
  • The ML Engineer will have visibility and impact across the full project workflow: from working with business stakeholders to helping define project, to data collation and processing, exploratory analysis, model selection/ tuning, and implementation of production models.
  • Design and deliver advanced models in Machine Learning, Generative AI, and NLP.
  • Own the end-to-end concept / ML lifecycle — from data exploration to production deployment.
  • Establish best practices for ML Ops, model monitoring, and scalable deployment.
  • Be familiar with R&D, PoC methods with ability to explain complex issues in simple terms with end users
  • Partner with front office/commercial teams to identify high-value use cases.
What’s on Offer
  • Career-defining opportunity to build a function that drives real‑world outcomes.
  • Opportunity to shape the future of AI/ML in a global commodities business.
  • The ability to remain technical and hands‑on while leading at scale.
  • Competitive compensation package

Due to the volume of applicants for this role, please only apply if you meet the criteria above, along with your updated CV.

We look forward to hearing from you.

#ML #Machine Leanring #MLE #NLP #GenAI #Energy #Commodities #Capital Markets

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