ML Systems Engineer Intern β€” High-Perf Finance

ML Systems Engineer Intern β€” High-Perf Finance

Full-Time 20000 - 30000 Β£ / year (est.) No working from home possible
P2P

At a Glance

  • Tasks: Collaborate with teams to build cutting-edge ML systems for global finance.
  • Company: Jump Trading Group, a leader in high-performance trading technology.
  • Benefits: Gain hands-on experience, competitive pay, and mentorship from industry experts.
  • Other info: Join a dynamic team with opportunities for growth in a fast-paced environment.
  • Why this job: Make an impact in finance using advanced ML techniques and technologies.
  • Qualifications: Familiarity with C/C++, Python, and a passion for machine learning.

The predicted salary is between 20000 - 30000 Β£ per year.

Jump Trading Group is seeking world-class engineers to collaborate with research, trading, and engineering teams to build state-of-the-art ML systems for global financial markets. You will apply advanced techniques, optimize training pipelines on HPC clusters, and integrate ML models into latency-sensitive production environments, using C/C++, Python, and CUDA across large-scale systems.

ML Systems Engineer Intern β€” High-Perf Finance employer: P2P

P2P is an exceptional employer that fosters a dynamic work culture focused on innovation and collaboration in the heart of Greater London. With a commitment to employee growth, we offer extensive professional development opportunities and a supportive environment for those passionate about advancing decentralized finance. Join us to be part of a forward-thinking team that values your contributions and encourages meaningful impact in the financial services sector.

P2P

Contact Details:

P2P Recruitment Team

We think you need these skills to ace ML Systems Engineer Intern β€” High-Perf Finance

Machine Learning
C/C++
Python
CUDA
High-Performance Computing (HPC)
Optimisation Techniques
Integration of ML Models