Machine Learning Researcher

About the Role

Requirements

• Degree in Computer Science, Machine Learning, Applied Mathematics, or similar quantitative discipline
• Strong programming skills in Python and familiarity with ML libraries
• Proven track record applying ML or deep learning to real-world problems
• Familiarity with time-series modeling, signal extraction, or high-frequency data
• Experience developing ML infrastructure including data pipelines, experiment tracking, and versioning
• Experience in finance, trading, or quantitative research (nice to have)
• Publications, competition results (e.g., Kaggle), or open-source contributions (nice to have)
• Familiarity with C++, CUDA, or low-latency systems (nice to have)

Responsibilities

• Develop ML-based alpha generation models using high-frequency order book and market microstructure data
• Design and maintain data pipelines, preprocessing, and feature extraction workflows for streaming tick data
• Research and implement advanced deep learning architectures for short-horizon forecasting and signal extraction
• Collaborate with quant researchers and developers to integrate models into live trading environments
• Optimise inference latency and robustness and ensure models behave safely under live market conditions
• Continuously refine model quality through systematic backtesting, live evaluation, and monitoring

Benefits

• Performance-based compensation with significant earning potential
• Pension
• Private health insurance
• Office in central London with amenities such as table tennis and foosball
• Team meals and company-wide events
• Flexible working from home and working hours
• UK work permits and relocation assistance

Skills