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Software Engineer, Machine Learning​/ ML Engineer, AI Engineer (Applied​/Software)

Job in Milton Keynes, Buckinghamshire, MK10 0BX, England, UK
Listing for: Understanding Recruitment
Full Time position
Listed on 2026-09-17
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Blockchain / Web3
Job Description & How to Apply Below

Understanding Recruitment provided pay range

This range is provided by Understanding Recruitment. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Understanding Recruitment

Low Latency C++ Engineer | Crypto Trading Powerhouse

📍 Fully Remote (must be based in the UK)

Want to help shape the future of crypto trading?

This is a chance to join one of the world’s leading crypto trading platforms and a team known for its cutting-edge low-latency systems and lightning-fast execution speeds.

They’re looking for engineers who thrive in high-performance, high-ownership environments. You’ll work alongside some of the brightest minds in trading tech, designing and building distributed C++ systems that handle massive throughput with ultra-low latency.

If you’ve honed your craft in a fast-paced, high-frequency environment, this could be your next big move.

What they’re looking for:

  • Expert-level C++ experience (ideally in trading, HFT or other low-latency domains)
  • Proven track record building high-performance, highly available distributed systems
  • Strong design and architecture skills
  • Passion for solving complex technical problems in fast-moving markets

💻
Tech: Modern C++, HFT principles, low-latency infrastructure, high-volume APIs, highly concurrent systems

Trading or crypto experience is a huge plus ⭐ but above all, they want ambitious engineers who are curious, proactive, and driven to push boundaries.

Apply to find out more about this opportunity ✅

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

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