Machine Learning Jobs

• London

This role involves researching and developing mathematical and statistical models for systematic investment strategies, using advanced techniques in machine learning and large-scale data analysis. The researcher will work across the full lifecycle—from hypothesis generation and model testing to production implementation—within a collaborative environment alongside portfolio managers and engineers. The position emphasizes original, rigorous research applied to global financial and alternative datasets.

• London
• Hybrid
• Senior
• Permanent

This role involves partnering with the research team to develop and refine intraday and systematic trading strategies using statistical arbitrage. You will analyze large-scale market data, build predictive models, and collaborate with technology teams to integrate these models into advanced trading infrastructure. The position is ideal for those who want to be involved in all aspects of the research, trading, and coding process in a collaborative start-up environment.

• London
• On-site
• £260,000 – £630,000 pa
• Mid-level

Own critical parts of a production pretraining pipeline, covering performance optimization, observability, reliability and hardware debugging across the full stack. The role splits roughly 50/50 between research and engineering, with on-call incident response during model launches and close collaboration with teams in SF and London.

JAX · TPU · PyTorch +3

• London
• On-site
• Mid-level
• Permanent

This role involves conducting advanced research to identify systematic anomalies in the equities market, developing and implementing trading strategies, and maintaining portfolio trading systems. You will work with large datasets, perform alpha idea generation, and contribute to the scalable research framework.

• London
• On-site
• Junior
• Internship

The Junior Quant Researcher will conduct quantitative research using statistical and predictive modeling techniques, manage the full lifecycle of strategy development, and create computer-based models to predict financial market movements. The role involves working closely with a start-up environment, requiring a strong background in machine learning and programming.

• London
• On-site
• Mid-level
• Permanent

This role involves conducting end-to-end systematic volatility research, from alpha signal generation to execution optimization. You will develop, backtest, and refine volatility-based trading strategies across asset classes, working closely with traders and portfolio managers to enhance trading efficiency and performance.

• London
• On-site
• Entry level
• Permanent

This role involves researching and optimizing high-frequency trading strategies using advanced technology. You will work closely with experienced quant strategists, developing systems in C++ or Java, analyzing data, and contributing to strategy development as you gain experience.

• London
• On-site
• Mid-level
• Permanent

This role involves developing systematic trading models and alpha strategies across various financial markets, including FX, commodities, fixed income, and equities. You will work on back-testing, improving existing strategies, and evaluating new datasets to enhance the team's investment process and research infrastructure.

• London
• On-site
• Mid-level
• Permanent

This role involves developing and maintaining data engineering and prediction tools for systematic equities trading. You will work closely with the Senior Portfolio Manager and quantitative research team to build robust data pipelines, validate data integrity, and implement large-scale computational systems.