AI Research Scientist

P2P; City Of London; On-site; GBP 148,000 - 224,000; Full time

Job summary

A global financial research firm in London is seeking a Research Scientist to lead machine learning research projects. The ideal candidate will have over 5 years of experience with a strong ML background and the ability to communicate effectively with trading teams. The role offers a competitive salary, strong benefits, and a unique collaborative culture.

Benefits

Discretionary bonus eligibility

Medical, dental, and vision insurance

Retirement plan with employer match

Paid parental leave

Wellness Programs

Qualifications

• 5+ years of experience creating ML systems with significant impact.
• Strong foundation in machine learning and exposure to language modeling.
• Ability to communicate quantitative concepts with trading researchers.

Responsibilities

• Lead research projects from concept to production.
• Collaborate with trading teams to understand their needs.
• Continuously improve model design and infrastructure.

Skills

Machine learning systems

General ML background

Python development

C++ development

Familiarity with PyTorch

Communication skills

Tools

PyTorch

TensorFlow

JAX

Job description

Overview

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

Our AI team is a central R&D group comprised of quantitative researchers, engineers, and ML experts leading LLM research and applications at Jump. Our mission is to combine emerging techniques and models with original research to generate signals from unstructured data.

What You’ll Do

We are seeking research scientists with a demonstrated ability to apply machine learning to achieve state-of-the-art capabilities in complex and challenging domains. The ideal person for this role will be capable of leading an open-ended research project from concept to production: finding compelling problems well suited to current and projected LLM capabilities, collaborating extensively with trading teams to understand requirements and constraints, and continuously improving model design, tools, and infrastructure. Potential projects may target any area of the quantitative research process with the potential for firmwide application. We believe that successful research efforts require a fluid mix of skills including ML expertise, engineering pragmatism, and market intuition, and welcome all candidates who can demonstrate brilliance in one area, competence in a second, and enthusiasm for the third.

Skills You’ll Need

• 5+ year track record of creating ML systems with real metrics & impact in industry and/or academia
• Strong general ML background with some exposure to language modeling architectures (e.g. transformers, SSMs)
• Solid development skills in Python and/or C++
• Familiarity with ML libraries/frameworks such as PyTorch (preferred), TensorFlow, and/or JAX
• Intellectual curiosity, versatility, and originality combined with a pragmatic outlook
• Ability to reason through quantitative problems and communicate effectively with trading researchers
• Reliable and predictable availability

Bonus Points

• Experience with HPC and distributed large model training
• Experience with GPU performance optimization (CUDA or ROCm)
• Experience with end-to-end model development, especially in LLMs
• Prior academic publications and/or contributions to open-source AI research
• Strong opinions on best practices in ML research, tooling, and/or infrastructure

Benefits

- Discretionary bonus eligibility
- Medical, dental, and vision insurance
- HSA, FSA, and Dependent Care options
- Employer Paid Group Term Life and AD&D Insurance
- Voluntary Life & AD&D insurance
- Paid vacation plus paid holidays
- Retirement plan with employer match
- Paid parental leave
- Wellness Programs

Compensation

Annual Base Salary Range

$200,000 — $300,000 USD