Senior Machine Learning Engineer
Reach Velocity - Emerging Technology 🇺🇸 🇵🇹 - Houston, TX
Hiring: Senior Machine Learning Engineer Company: Reach Velocity - Emerging Technology 🇺🇸 🇵🇹 Location: Houston, TX Job Posted Time: 2026-09-16 17:04:32 Employment Type: On-site Target Skills & Keywords : AWS, Airflow, CI/CD, Dagster, Docker, Kubernetes, LLM, MLOps, Machine Learning, NLP, PyTorch, Python, Transformers, scikit-learn About the job Experience: •Company Description •Our client is a •large global energy and commodities business •operating across international markets. •Technology, data science and machine learning play an increasingly important role across the organisation, and the business is continuing to invest in ML and Generative AI capabilities. •Due to continued growth, they are looking for an experienced •to join their Houston-based Data Science and Machine Learning team. Required Skills: •This is a hands-on position with exposure across the full machine learning lifecycle. •You will work closely with data scientists, ML specialists, software engineers and commercial teams to identify problems, develop solutions and deploy production-grade machine learning applications. •Projects span •machine learning, time-series forecasting, NLP and Generative AI •, with the opportunity to work on commercially important problems involving pricing, supply and demand, operational optimisation and other business-critical applications. •You will also play an important role in the continued development and adoption of the organisation's •internal Generative AI platform •Responsibilities •Design, develop and deploy end-to-end machine learning and data science solutions. •Build production ML systems from data ingestion and feature engineering through model deployment and monitoring. •Develop and extend internal •GenAI and LLM applications •, including integrations, data connectors and prompt engineering. •time-series forecasting, NLP, classification and Generative AI •to real-world commercial problems. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!