Position: Founding Data/ML Ops Engineer

Start Date: As soon as possible

Location: London based, with the option to work abroad for a few months each year.

At Synthera AI, we are looking for a Founding Data/Machine Learning Operations Engineer to join our early team.

About us:

At Synthera AI, we are building proprietary machine learning models to simulate financial time series data, in particular publicly traded assets, starting with yield curves (and expanding to FX, commodities, equities and beyond).

With our synthetic data engine, investors and risk managers are able to test out thousands of highly realistic market scenarios, uncover complex correlations and more accurately capture tail risks, ultimately enhancing hedging strategies and improving risk-adjusted returns for asset managers, hedge funds, banks, insurers and other financial institutions.

We recently closed our VC backed pre-seed round. We are participating in the deep tech accelerator CDL and in Plug and Play’s Silicon Valley accelerator. In addition, we have active research partnerships with UCL, Oxford, and Berkeley and are advised by a global leader in our field, Oxford Professor Rama Cont.

What you will be doing:

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

Key tasks include:

• Building and maintaining our core data infrastructure and high-throughput data pipelines for historical and simulated market data
• Developing MLOps pipelines to support our proprietary generative AI models
• Integrating our solution into client workflows (hedge funds, asset managers, etc.) and leading risk platforms
• Setting up and optimizing CI/CD workflows and integrating with market data providers

Requirements

• Minimum of 3 years (ideally 5+ years) of experience as a Data Engineer or Machine Learning Engineer. Preferably this would be at a financial institution, such as a hedge fund, asset manager, trading firm, or financial data provider, however this is not a requirement.
• Proficiency with cloud providers, ideally AWS
• Experience with Docker, databases, and data pipeline development
• Familiarity with ML tooling (e.g., MLflow, PyTorch, etc.)
• Some experience with API design and model deployment is a plus
• Strong proficiency in Python

Why Join Us?

Personal Growth and Upside Opportunities As an early team member, you will receive equity with significant growth potential as the company scales. You will have a pivotal role with increasing responsibilities, including the opportunity to lead a team as we expand.

Proprietary Cutting Edge Tech We are building proprietary generative AI models based on recent breakthroughs in ML for Quantitive Finance, pioneered by our scientific advisor. Your role will be at the forefront of innovation and allow you to play a crucial role in the development of the product.

Flexible Work Although we strongly believe in person collaboration, we also believe in flexiblity. That is why we are offering employees the option (if desired) to work from abroad for a few months per year.

Work with global leading experts Our Scientific Advisor, Professor Rama Cont from Oxford, is the global leading expert in this technology. As an early member of the team you will have the opportunity to work directly with him.

To apply, please contact us at:

www.synthera.ai

or apply directly via LinkedIn