ML Research Engineer: Systematic Macro FX Platform

Paragon Alpha - Hedge Fund Talent Business; England; On-site; GBP 40,000 - 70,000; Full time

Job summary

Paragon Alpha invites applications for an entry-point to mid-level Machine Learning Research Engineer to build production-grade research capability from the ground up, focused on fast-paced FX trading.

You'll work with PM to develop independent ML models and scalable pipelines across large datasets, in a live trading environment, with opportunities to influence data ingestion, experiment infrastructure and ML tooling.

Qualifications

• Excellent computer science and ML fundamentals.
• Strong Python engineering skills.
• Experience with distributed computing, scalable data pipelines and model development.
• AI/ML-focused academic background, ideally PhD or exceptional MSc from Oxbridge/Imperial/ETH Zurich or leading Paris universities.

Responsibilities

• Build and maintain scalable ML research pipelines.
• Develop and train large ML models across varied datasets.
• Own data ingestion, feature workflows and experiment infrastructure.
• Work with distributed compute, parallelisation and ML DevOps tooling.
• Write high-quality Python for research and production applications.
• Contribute to execution technology and trading infrastructure if applicable.

Skills

Python

Distributed computing

ML fundamentals

Data pipelines

Education

PhD or MSc in AI/ML from top universities

Job description

Paragon Alpha invites applications for an entry-point to mid-level Machine Learning Research Engineer to build production-grade research capability from the ground up, focused on fast-paced FX trading.

You'll work with PM to develop independent ML models and scalable pipelines across large datasets, in a live trading environment, with opportunities to influence data ingestion, experiment infrastructure and ML tooling.