We’re partnering with a globally respected proprietary trading firm to hire a Machine Learning Researcher for a high-impact role embedded directly with a trading desk. This is an opportunity to work at the intersection of machine learning, quantitative research, and production-grade engineering within a firm known for technical excellence and intellectual rigor.
The Opportunity
This role sits within a highly collaborative ML research group working closely with a live trading desk. You’ll be responsible for building and deploying machine learning systems that directly influence trading decisions. The work spans the entire lifecycle — from early research and experimentation through to low-latency, production-ready deployment.
You’ll join an environment that values autonomy, thoughtful debate, and engineering quality, surrounded by experienced researchers and engineers working on complex, real-world problems.
What You’ll Be Doing
- Designing and building scalable systems to train and serve machine learning models
- Owning models end-to-end: research, implementation, deployment, and performance monitoring
- Improving training and inference efficiency, including hardware-level optimization
- Adapting models for different compute environments and architectures
- Leading technical initiatives and influencing system design decisions
- Contributing to discussions around code quality, testing strategy, and software architecture
- Collaborating closely with traders, researchers, and engineers across the business
What We’re Looking For
- Advanced degree (ideally PhD) in a quantitative or technical discipline such as Machine Learning, Computer Science, Mathematics, Physics
- 1-3+ years of hands-on experience building machine learning systems in production environments
- Strong foundations in probability, statistics, and ML theory
- Proven ability to write high-quality, maintainable, performance-oriented code
- Experience with MLOps, including model deployment, monitoring, and iteration
- Publications in NeurIPS, ICLR, ICML etc.
- GPU programming experience (CUDA, OpenCL)
London based, apply now for more details. Hybrid work culture, top pay and bonuses.