Machine Learning Researcher (Large-Scale ML / GenAI) : Quant Fund

Role Overview

You will work at the cutting edge of modern AI—designing, training, and scaling state-of-the-art ML and GenAI systems. This is a deeply research-driven role with direct ownership of ambitious problems and access to significant compute and data. This will result in building strategies for trading Equities, Options and Crypto.

Key Responsibilities

• Train large-scale ML and generative AI systems end-to-end, from raw data processing through fine-tuning and evaluation
• Develop novel AI/ML architectures, including transformer-based and generative models
• Train state-of-the-art systems across supervised, unsupervised, and reinforcement learning
• Explore and curate new datasets to extract novel signal and drive performance
• Contribute to original research and long-term AI strategy alongside elite researchers

Required Background

• Proven experience training ML models end-to-end, from data pipelines to fine-tuning
• Strong hands‑on experience across transformers, generative models, and reinforcement learning
• Publications in top‑tier ML venues (e.g., NeurIPS, ICML, ICLR, JMLR, or equivalent)
• Strong Python

PhD/MSc or equivalent research experience from a top‑tier academic institution for example (but not limited to):

• Oxford, Cambridge, Imperial College London, UCL

Alternatively, elite research experience from leading AI labs or top‑tier industry research groups

Why Join

• Huge backers - roadmap to $1billion AUM over next 18 months
• Great bonus and equity potential
• Work in a low‑bureaucracy, high‑signal research culture
• Direct access to exceptional compute, data, and research autonomy
• Ability to conduct real ML research that goes into production
• Highly competitive compensation with meaningful upside

Seniority level

• Mid‑Senior level

Employment type

• Full-time

Job function

• Research, Information Technology, and Engineering

Industries

• Financial Services, Technology, Information and Media, and Research Services