Machine Learning Operations Specialist with Proprietary Tech
2 days ago
We are seeking a talented Data / Machine Learning Ops Engineer to join our early team at Synthera AI. As an engineer, you will play a crucial role in the development of our proprietary generative AI models and high-throughput data pipelines.
Key Tasks:
- Building and maintaining core data infrastructure for historical and simulated market data
- Developing MLOps pipelines to support our AI models
- Integrating our solution into client workflows and risk platforms
- Setting up and optimizing CI/CD workflows and integrating with market data providers
Salary Estimate: £90,000 - £120,000 per annum, depending on experience. This estimate is based on industry standards for similar roles in London.
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
About Us:
Synthera AI is a deep tech startup building proprietary machine learning models to simulate financial time series data. We are backed by a VC-funded pre-seed round and participate in accelerators such as CDL and Plug and Play Silicon Valley. We have research partnerships with UCL, Oxford, and Berkeley and are advised by Professor Rama Cont from Oxford.
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