Salary: £36,000 - 76,000 per year
Requirements
- Masters or PhD/Post doctorate in Computer Science, Mathematics, Statistics, Engineering, Physics, or a related quantitative discipline, from a leading institution
- 3+ years of professional experience in software engineering, quantitative development, or a related computational role
- Experience developing and validating machine learning models on large, complex datasets, across both classical and deep learning approaches, in industry or academia
- Experience building distributed computing systems for machine learning applications
- Strong Python programming skills beyond the standard research stack, including parallelism, distributed compute, and native acceleration such as Python or C++ bindings
- Familiarity with C++ is a strong plus, alongside the software engineering fundamentals to pick it up quickly
- Experience building data-intensive tools, research workflows, or model development infrastructure
- Strong Linux development experience
- Experience building agentic AI systems, including tool use, orchestration, and evaluation
- Experience with backtesting and awareness of common research pitfalls such as overfitting, lookahead bias, and survivorship bias
- Understanding of systematic trading strategies and quantitative research workflows
- Knowledge of market microstructure
- Experience supporting production research workflows or model deployment in a front-office environment
Responsibilities
- Design, train, and productionize large-scale machine learning models across both classical and deep learning approaches, applied to high-frequency data
- Enhance and optimize our end-to-end machine learning pipeline, from large-scale data processing and distributed computation to scalable parameter search and validation
- Contribute to improving the speed, scalability, and reliability of our wider signal development environment, ensuring consistent and efficient migration from research to production
- Partner with broader technology teams to make effective use of shared internal platforms and services
Technologies
- Agentic AI
- AI
- Linux
- Machine Learning
- Python
We are a top-tier global hedge fund with a strong commitment to leveraging market innovations in technology and data to deliver high-quality returns. We are hiring for a collaborative and entrepreneurial systematic macro pod based in London, where the role focuses on machine learning research engineering, high-frequency market data, and building the research and compute infrastructure behind our models. The position works closely with our Senior Portfolio Manager to turn models into live trading signals.
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Quantitative Developer, Research & ML Engineering employer: Millennium Management
Millennium is an exceptional employer that fosters a culture of innovation and collaboration, empowering employees to take ownership of their ideas while providing robust support through a global network. With a strong focus on professional development and continuous learning, the company offers unique opportunities for growth within the dynamic field of international operations, making it an ideal place for those seeking meaningful and impactful careers in the financial markets.
