ML Engineer
VortexaLondon, England, United Kingdom
Posted September 29, 2025
Full Time
About the Company
Building the future of energy markets Vortexa tracks more than $3 trillion of waterborne energy trades per year in real-time, providing energy and shipping companies with the most complete picture of global energy flows available in the world today. Vortexa’s highly intuitive web-based app and programmatic API/SDK interfaces help traders, analysts and charterers make high-value trading decisions with confidence, when it matters the most. The web-based platform shares highly detailed oil & gas products flows, produced by hard data, machine learning and state-of-the-art technology with oversight from in-house global industry experts providing real-world context to continually train and improve the models.
Job Description
Vortexa is seeking an ML Engineer to build and maintain a sophisticated machine learning infrastructure for energy data processing. The role involves building scalable ML pipelines, ensuring model reliability, and bridging research into production systems. This involves working with both raw data and operational systems to deliver actionable insights.
Requirements
- Experienced in building and deploying distributed scalable ML pipelines using Kubernetes and MLflow
- Fluent in Python, PyTorch, and XGBoost
- Solid machine learning engineering fundamentals
- Practical experience with AWS services (SageMaker, S3, EC2, Lambda)
- Experience with infrastructure as code tools (Terraform, CloudFormation)
- Experience with Apache Kafka and real-time streaming frameworks
- Knowledge of data privacy regulations
Benefits
- Flexible hybrid working
- Vibrant, diverse company
- Private Health Insurance
- Global Volunteering Policy
