Campus ML Research Engineer (Full-Time)
Jump Trading17 days ago
London, United KingdomSenior
Responsibilities
- Apply advanced machine learning techniques to complex financial and quantitative problems.
- Collaborate with researchers, quantitative researchers, traders, and engineers to build reusable financial ML frameworks.
- Optimize ML training pipelines for high-performance computing resources.
- Integrate ML models into low-latency production systems.
- Build observable, performant, flexible large-scale ML systems and reduce research iteration cycle time.
Requirements
- Proficiency in Python and/or C++.
- Proficiency in PyTorch, JAX, TensorFlow, or another deep learning library.
- Expertise in GPU or accelerator programming with technologies such as CUDA, Triton, SYCL, or ROCm.
- Experience building large-scale ML systems involving very large training datasets or low-latency and high-throughput inference.
- Strong written and verbal communication skills in English.
- Ability to work collaboratively, solve challenging problems, and maintain reliable and predictable availability.
Benefits
- Private medical, vision, and dental insurance.
- Travel medical insurance.
- Group pension scheme.
- Group life assurance and income protection schemes.
- Paid parental leave.
- Parking and commuter benefits.
- Work visa sponsorship is available for full-time positions.
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