Machine Learning Researcher

Machine Learning Researcher | London / New York | Leading Quantitative Investment Platform

We’re working with a globally recognised, data-driven investment firm looking to hire a Machine Learning Researcher to join a highly academic, research-focused team. The group operates at the intersection of advanced ML and real-world decision systems, applying cutting-edge techniques to large-scale, complex datasets.

Notably, prior financial experience is not required — this team is actively seeking individuals from academic or research-heavy backgrounds who can bring fresh thinking and rigorous methodology.

What You’ll Be Doing

• Conduct original machine learning research with direct real-world application
• Develop and implement state-of-the-art models across large, high-dimensional datasets
• Explore areas such as deep learning, NLP, reinforcement learning, and LLMs
• Work closely with a collaborative team of researchers and engineers to translate theory into production
• Contribute to a culture of experimentation, publication-level research, and continuous innovation

Core Requirements

• PhD (preferred) or MSc from a leading university in a quantitative field (e.g. Machine Learning, Computer Science, Mathematics, Physics, Statistics)
• Strong track record in machine learning research (academic or industry), including publications or impactful projects
• Advanced Python programming skills and experience with ML frameworks (e.g. PyTorch, TensorFlow)
• Deep understanding of modern ML techniques (e.g. deep learning, probabilistic models, optimisation)
• Strong grounding in statistics, linear algebra, and algorithm design
• Ability to work on open-ended problems and translate research ideas into practical solutions

Nice to Have

• Experience working with large-scale or noisy real-world datasets
• Familiarity with distributed computing or high-performance systems
• Exposure to LLMs, generative models, or reinforcement learning
• Background in competitive programming, research competitions, or top-tier conferences

Why This Role

• Opportunity to work in a pure research-driven environment with real-world impact
• No requirement for financial experience — strong academic talent is the priority
• Access to world-class data, infrastructure, and compute
• Collaborative, intellectually rigorous culture alongside top-tier researchers
• Flexibility across London or New York offices

If you’re coming from a strong ML research background and want to apply your work in a high-impact, real-world setting, feel free to reach out for a confidential discussion.