Quantitative Researcher - Machine Learning

DRW; Greater London; On-site; GBP 62,000 - 102,000; Full time

Job summary

DRW is seeking an exceptional ML researcher to join its London team crafting and deploying robust machine learning models. You will design, validate, and operationalize models handling high-dimensional, real-world data across diverse forecasting tasks.

The role emphasizes transformer-based architectures and rigorous experimentation, with production-grade pipelines and scalable data processing at scale.

Qualifications

• PhD or exceptional MSc in ML/CS or related field.
• Deep knowledge of core ML algorithms.
• Experience moving ML models from research to production.
• Familiarity with transformer-based architectures.
• Experience applying ML in financial markets desirable.

Responsibilities

• Research, design, and deploy robust ML models.
• Build scalable, production-level ML pipelines.
• Extract signals from large, noisy real-world datasets.
• Apply advanced ML techniques to forecasting challenges.
• Deploy ML solutions in production with high-dimensional data.

Skills

PhD or exceptional MSc in ML/CS

Strong ML knowledge

Transformer architectures

Production deployment of ML models

Education

PhD or exceptional MSc in ML/CS

Tools

Machine Learning

Job description

Salary: £62,000 - 102,000 per year

Requirements

• PhD or exceptional MSc in Machine Learning, Computer Science, or a related field
• Deep theoretical and practical knowledge of core machine learning algorithms
• Comfortable experimenting with model architectures, feature engineering, and hyperparameter tuning to produce high-performance, resilient models
• Proven experience taking machine learning models from research to live production
• Deep understanding of modern machine learning algorithms, including transformer-based architectures and other state-of-the-art frameworks
• Experience applying machine learning models in financial markets is desirable, though strong candidates from tech, startups, or academia will also be considered

Responsibilities

• Research, design, and deploy robust machine learning models
• Build and maintain scalable, production-level machine learning pipelines
• Extract signals from large, noisy, real-world datasets
• Apply advanced machine learning techniques to a wide range of forecasting challenges
• Deploy machine learning solutions in production while working with high-dimensional, noisy, structured and unstructured datasets

Technologies

• Machine Learning

More

We are DRW, a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, and we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into real estate, venture capital, and cryptoassets. We operate with respect, curiosity and open minds, and we look for people who share our belief that its not just what we do that matters, but how we do it. We are a place of high expectations, integrity, innovation and a willingness to challenge consensus.

last updated 36 week of 2026