Research Engineer

Senior Research Engineer – Deep Learning & Time Series

About the Role

My client are a forward-thinking financial organisation looking for a Senior Research Engineer to own the machine learning strategy end to end. This is a rare opportunity to shape the AI direction from the ground up, from research through to production with direct visibility at the leadership level.

What You'll Do

• Define and lead the deep learning research agenda, with a focus on time series modelling in financial markets
• Take models from research hypothesis all the way to production-grade, monitored systems
• Evaluate and apply cutting-edge academic research to real-world financial problems
• Work closely with quant researchers, engineers, and senior stakeholders to embed ML into core decision-making
• Help build and mentor a growing research team

Requirements

• Published research in peer-reviewed venues such as IEEE, ICML, NeurIPS, ICLR, or equivalent
• Deep expertise in time series modelling - financial data experience strongly preferred
• Proven end-to-end ML experience: data pipelines, model development, deployment, and monitoring
• Strong Python and ML engineering skills (PyTorch or JAX)
• PhD in ML, Statistics, Computer Science, or related field (or equivalent research output)
• Ability to communicate complex ideas clearly to both technical and non-technical audiences

Nice to Have

• Experience in asset management, hedge funds, or quantitative trading
• Contributions to open-source ML projects
• Prior tech lead or mentorship experience

What's on Offer

• Full ownership of ML strategy from day one
• Dedicated time and support for continued research and publishing
• Competitive base, performance bonus, and equity
• Hybrid working, flexible culture, and access to institutional-grade data and compute