ML Research Engineer – Financial ML & Low-Latency GPU

ML Research Engineer – Financial ML & Low-Latency GPU

Full-Time No working from home possible
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Jump Trading, a global quantitative trading firm, is seeking a full-time ML engineer in London. The role focuses on building financial-ML frameworks, training pipelines, and low-latency inference on large GPU systems using Python, C++, CUDA and modern ML libraries.

The position emphasizes HPC training, observable systems, and production integration. International candidates are welcome; visa sponsorship is available. Strong English and collaboration are essential.

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ML Research Engineer – Financial ML & Low-Latency GPU employer: Amsterdam Quant Society

Susquehanna is an exceptional employer for aspiring quantitative traders, offering a dynamic internship experience in the heart of London. With a strong emphasis on mentorship and hands-on project work, interns gain invaluable skills in ETF and options trading, programming, and game theory, all within a collaborative and innovative work culture that fosters personal and professional growth. The opportunity to return for a graduate programme further highlights our commitment to nurturing talent and providing a pathway for future success.

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Contact Details:

Amsterdam Quant Society Recruitment Team