Data Engineer with Generative AI Expertise

2 days ago


London, Greater London, United Kingdom Synthera AI Full time
Job Overview

We are building cutting-edge machine learning models to simulate financial time series data, particularly yield curves. Our synthetic data engine enables investors and risk managers to test market scenarios, uncover complex correlations, and capture tail risks more accurately.

We are looking for a highly skilled Data / Machine Learning Ops Engineer to join our early team. As an engineer, you will have the opportunity to make a direct impact on the company's growth and trajectory from day 1.

Key Responsibilities:

  • Design and maintain high-throughput data pipelines for historical and simulated market data
  • Develop MLOps pipelines to support our proprietary generative AI models
  • Integrate our solution into client workflows and leading risk platforms
  • Set up and optimize CI/CD workflows and integrate with market data providers

Requirements:

  • Minimum 3 years of experience as a Data Engineer or Machine Learning Engineer, preferably in the financial sector
  • Proficiency with cloud providers, ideally AWS
  • Experience with Docker, databases, and data pipeline development
  • Familiarity with ML tooling (e.g., MLflow, PyTorch)
  • Strong proficiency in Python

Why Work with Us?

You will receive equity with significant growth potential as the company scales. You will have increasing responsibilities, including the opportunity to lead a team as we expand. We offer flexible work arrangements, including the option to work abroad for a few months per year. Our team is advised by a global leader in the field, Professor Rama Cont from Oxford.



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