Vitol
Senior Machine Learning Engineer
Houston, TX, United States · Senior
Sponsorship not specifiedDetected 99 days ago
PythonCode ReviewAWSCloud PlatformsDockerKubernetesCI/CDMachine LearningPyTorchscikit-learnAirflowData EngineeringData ScienceNLPLLMsMLOpsStatisticsForecastingExperimental DesignCommunicationCollaborationProblem SolvingPublic Speaking
About the role
- Vitol's clients include national oil companies, multinationals, leading industrial companies and utilities.
- Because of the collaborative, fast-paced, and high energy nature of our business, Vitol requires team members to work from our fully-equipped office.
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Responsibilities
- Drive adoption and development of the firm's internal GenAI chat platform as one of the technical leads, extending its capabilities through new integrations, data connectors, and domain-specific prompt engineering; work closely with trading desks and operational teams to identify high-value use cases, embed the tool into day-to-day workflows, and ensure outputs are robust, and trusted by end users.
Requirements
- Master's degree or equivalent in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field
- Fluency in Python for both data science and engineering purposes: clean, modular, well-documented code, with strong understanding of software engineering best practices including version control, testing, and code review
- Strong proficiency with ML frameworks (e.g. PyTorch, scikit-learn, Transformers) and experience building or consuming LLM-based pipelines and GenAI applications
- Experience in the energy or commodities trading industry, with knowledge of financial markets and trading concepts
- Experience surfacing ML outputs through interactive tools (e.g. Dash, Streamlit, or similar) and presenting use cases to non-technical audiences, including traders and senior management
Nice to have
- containerization (Docker/Kubernetes), CI/CD, data pipeline orchestration (e.g. Airflow, Dagster), and model serving
- Experience with cloud platforms (AWS preferred) and modern MLOps practices: containerization (Docker/Kubernetes), CI/CD, data pipeline orchestration (e.g. Airflow, Dagster), and model serving
Skills
- The Machine Learning
Compensation
- Competitive salary and benefits package
Benefits
- Competitive salary and benefits package
- Entrepreneurial environment within a flat hierarchy, where great ideas come to life quickly
- Strong management commitment to incorporating machine learning into the future of Vitol's operations
- Desire to be a thought-partner in a fast-growing team, and make an impact at a business that sits at the heart of the world's energy flows
Company info
- Company Description
- Vitol is an energy and commodities company with revenues of $400 billion in 2023; its primary business is the trading and distribution of energy products globally - it trades over seven million barrels per day of crude oil and products and, at any time, has 250 ships transporting its cargoes.
- Founded in Rotterdam in 1966, today Vitol serves clients from some 40 offices worldwide and is invested in energy assets globally including 16mm3 of storage, 480kbpd of refining capacity, and 7,000 service stations.
- To date, we have committed over $2.5 billion of capital to renewable projects, and are identifying and developing low-carbon opportunities around the world.
- Learn more about us here.
- This Role is located in Houston, TX - In office 5x a week
- Being part of the energy transition through increased emphasis on renewable & alternative energy sources at a pivotal moment in the industry
Equal opportunity
- All your information will be kept confidential according to EEO guidelines.
This listing is sourced directly from Vitol's careers page and normalized into a canonical job model.