Machine Learning Researcher at leading Market Maker / Hedge Fund
This position is no longer accepting applications(closed Aug 18, 2026).
Summary
The role involves developing machine learning models to extract trading signals from vast market datasets, improving daily performance across trading desks (FX, equities) and engineering teams. Core focus is on alpha generation, AI-driven automation, and cross-functional collaboration to maximize profitability.
Salary: £200k base + £150 - £400k bonus // All experience levels
Client:
One of the world's top market makers is expanding their Machine Learning and related AI teams. Already a market-leader, in the past few years they have invested extensively in their data offerings and are ready to expand their ML and AI teams to stay ahead of the curve.
A cross-asset liquidity provider, they do a huge volume of trades daily and are working with massive data sets that require enormous computational power.
Role:
You'll be extracting signals from vast datasets of market data to gain beneficial insights. Your time could be split between alpha generation in a trading team and time in the core engineering team - working very collaboratively as a firm to maximise PnL for the collective. For example, if you're sat on an FX desk and find something useful, you'll share the knowledge with the Equities team. You'll be using ML to find ways to cut through the noise - how can you improve day-to-day performance with ML techniques? Is there AI assistance you can utilise to make everyone's life easier - from traders to operations, and ML tools for engineers?
Requirements:
Benefits:
Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.
Contact
If you feel you're suitable for this role, want to hear about similar positions, or would like help hiring similar developers for your company, please send your CV or get in touch:
Richard Allan
+44 (0)
in/richardallanok/
Client:
One of the world's top market makers is expanding their Machine Learning and related AI teams. Already a market-leader, in the past few years they have invested extensively in their data offerings and are ready to expand their ML and AI teams to stay ahead of the curve.
A cross-asset liquidity provider, they do a huge volume of trades daily and are working with massive data sets that require enormous computational power.
Role:
You'll be extracting signals from vast datasets of market data to gain beneficial insights. Your time could be split between alpha generation in a trading team and time in the core engineering team - working very collaboratively as a firm to maximise PnL for the collective. For example, if you're sat on an FX desk and find something useful, you'll share the knowledge with the Equities team. You'll be using ML to find ways to cut through the noise - how can you improve day-to-day performance with ML techniques? Is there AI assistance you can utilise to make everyone's life easier - from traders to operations, and ML tools for engineers?
Requirements:
- Extensive ML experience
- Strong programming skills in any OO language
- Collaborative nature with excellent communication skills
- Ability to balance pragmatism and great tech
Benefits:
- Shape the firm and, to an extent, the industry's ML developments
- Attend conferences
- Excellent compensation package
- Good work-life balance
Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful.
Contact
If you feel you're suitable for this role, want to hear about similar positions, or would like help hiring similar developers for your company, please send your CV or get in touch:
Richard Allan
+44 (0)
in/richardallanok/