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Principal Research Scientist - Machine Learning

Job in City of Westminster, Central London, Greater London, England, UK
Listing for: IMC
Full Time position
Listed on 2026-07-04
Job specializations:
  • Research/Development
    AI Business & Operations, Data Scientist, Research Scientist
Salary/Wage Range or Industry Benchmark: 80000 - 120000 GBP Yearly GBP 80000.00 120000.00 YEAR
Job Description & How to Apply Below
Location: City of Westminster

Responsibilities

  • Help define and accelerate the long‑term machine learning research agenda within Systematic Equities.
  • Identify emerging research directions, evaluate new developments in machine learning, and translate promising academic advances into practical applications.
  • Act as a scientific leader, mentor, and advisor across the research organisation.
  • Represent the company externally through participation in leading conferences and engagement with the broader machine learning community.
  • Conduct original research and develop proof‑of‑concept solutions where appropriate.
  • Advise and mentor quantitative researchers on methodology, experimentation and research direction.
  • Help guide future investments in research tooling, infrastructure and compute capabilities.
Qualifications
  • PhD in Machine Learning, Computer Science, Statistics, Mathematics, Physics or a related quantitative discipline.
  • Outstanding academic credentials and a strong publication record in leading research venues.
  • Current or recent experience in a faculty‑equivalent academic or research leadership role such as Assistant Professor, Associate Professor, Professor, Group Leader, Principal Investigator, Senior Postdoctoral Researcher, or Senior Research Scientist.
  • Deep expertise in modern machine learning and strong awareness of emerging research trends.
  • Experience influencing research direction, mentoring researchers, or leading research initiatives.
  • Strong programming skills and experience with modern machine learning frameworks.
  • Excellent communication skills and the ability to collaborate across disciplines.
Eligibility

Finance experience is not required.

Benefits
  • Access to world‑class datasets, significant compute resources and a highly collaborative environment.
  • Continued engagement with the academic community through conferences and publication opportunities.
  • Competitive compensation that reflects scientific excellence and commercial impact.
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