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Machine Learning Researcher

Job in Reading, Berkshire, RG1, England, UK
Listing for: Oxford Knight
Full Time position
Listed on 2026-11-01
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 70000 - 110000 GBP Yearly GBP 70000.00 110000.00 YEAR
Job Description & How to Apply Below

Highly skilled ML Researcher wanted for a leading global market maker to join one of their trading teams. This role offers the opportunity to join a firm-wide project, scaling up the alpha deep learning models, and leveraging innovative ideas and petabyte-scale data into models with an immediate impact on trading.

In this role, you will own the full research lifecycle end-to-end, iterate quickly and operate with high levels of resources and support in a flat, no-bureaucracy trading firm. Crucially, you’ll discover alpha in high-dimensional data with deep learning, time-series and representation learning, translating insights into executable strategies.

The successful candidate will have large-scale deep learning experience, and have communication and collaboration skills that are second to none, capable of fostering effective teamwork.

Skills and Experience Required
  • Advanced training & strong research track record in statistics, ML, AI, or similar
  • Deep-level knowledge of cutting-edge large-scale models and their training/design
  • Demonstrated ability of taking ML ideas from theory to measurable impact
  • Python fluency (Num Py, PyTorch) and experience writing clean, modular, performant code for large-scale experiments
  • Hands-on modern ML experience (sequence models/transformers, representation learning, regularization, cross-validation, causal/robust inference)
  • Masters/PhD in mathematics, statistics, physics, computer science, or similar highly quantitative field

NB:
Please don’t apply if you’re a fresh graduate.

Rewards and Incentives
  • Hugely collaborative environment between teams, not siloed like other firms
  • Competitive compensation: truly flat structure; feel valued for your input and be rewarded for great ideas
  • Genuine once-in-a-generation opportunity to have an impact
  • Work with the latest technologies on complex problems

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