Machine Learning Researcher

Overview

In this role you will advance ML-driven investment strategies within a high-caliber research team. You will work with massive datasets and near-limitless compute to explore novel algorithms and push the boundaries of what’s possible. You’ll engage with the latest publications, discuss ideas across a collaborative community, and translate research into measurable business impact. This is an opportunity to shape the research roadmap at a world-class firm in London and contribute to mission-driven innovation.

Pay / Benefits

• highly competitive compensation
• annual discretionary bonus
• lunch provided via Just Eat for Business
• 35 days’ annual leave
• 9% company pension contributions
• comprehensive healthcare and life assurance

Responsibilities

• develop and test novel ML models using real-world data in an academic-style environment
• stay current with literature and discuss methods within a collaborative research community
• evaluate and iterate on algorithms to achieve measurable performance improvements
• engage with industry conferences and disseminate findings through publications or talks
• translate research ideas into scalable, production-ready approaches

Key requirements

• post-graduate degree in ML or related discipline, or proven success in online data science competitions
• experience in deep learning, reinforcement learning, non-convex optimization, Bayesian non-parametrics, NLP or approximate inference
• strong mathematical reasoning and ability to develop custom models beyond off-the-shelf methods
• strong programming skills with Python; familiarity with Scikit-Learn, SciPy, NumPy, Pandas, and Jupyter Notebooks; OO programming is a plus
• publications at top conferences (NeurIPS, ICML, ICLR) is highly desirable

• excellent reasoning
• collaborative mindset
• ability to work with cross-functional peers
• deep learning
• reinforcement learning
• non-convex optimization

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