Principal ML Research Scientist β€” Frontier AI for Impact

Principal ML Research Scientist β€” Frontier AI for Impact

Full-Time 60000 - 80000 Β£ / year (est.) On-site
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At a Glance

  • Tasks: Lead cutting-edge ML research and translate findings into impactful tools and frameworks.
  • Company: IMC Trading, a leader in innovative trading solutions.
  • Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
  • Other info: Join a dynamic team focused on innovation and real-world applications.
  • Why this job: Make a real-world impact while staying at the forefront of machine learning research.
  • Qualifications: Strong background in machine learning and experience in collaborative research.

The predicted salary is between 60000 - 80000 Β£ per year.

IMC Trading is seeking a Principal Research Scientist to define and accelerate its long-term machine learning research agenda within Systematic Equities. This role suits an established academic researcher who wants to stay close to frontier ML while delivering real-world impact. You will collaborate with quantitative researchers, engineers and leadership to identify directions, evaluate developments and translate advances into practical tools, frameworks and infrastructure.

Principal ML Research Scientist β€” Frontier AI for Impact employer: IMC Trading

IMC is an exceptional employer, offering a dynamic and collaborative work culture in the heart of London. As a Lead Alpha Researcher, you will have the opportunity to lead a talented team, drive impactful research initiatives, and leverage cutting-edge technology in a supportive environment that prioritises employee growth and innovation. With a commitment to scientific rigour and open idea sharing, IMC fosters a culture where your contributions can significantly enhance trading performance and shape the future of systematic equities.

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Contact Details:

IMC Trading Recruitment Team

We think you need these skills to ace Principal ML Research Scientist β€” Frontier AI for Impact

Machine Learning
Research Skills
Collaboration
Quantitative Analysis
Framework Development
Infrastructure Design
Practical Tool Development