and expansion of its global trading capabilities. The firm operates with a lean, high-calibre team and maintains a disciplined, technology-first approach to markets. Responsibilities Build and optimise low-latency trading infrastructure and execution systems. Oversee daily trading operations, ensuring performance, stability, and robustness. Work with researchers to deploy systematic strategies into production. Expand market access, connectivity More ❯
feeds . Develop fast and efficient q queries , scripts, and analytics to support trading desks and quantitative teams. Collaborate with quants, traders, data engineers, and technology teams to deliver low-latency solutions . Trouble shoot, optimize, and improve existing KDB+ systems for performance, memory usage, parallelization, and scalability . Work with Real Time streaming systems and support high More ❯
City of London, London, United Kingdom Hybrid/Remote Options
IC Resources
prototype deep learning models for speech enhancement and separation. Design and optimise training pipelines using large-scale audio datasets. Collaborate with engineering teams to deploy models into real-world, low-latency environments. Stay up to date with new research and contribute to the company’s IP. Requirements: Background in audio or speech-related ML (e.g., noise suppression, source More ❯
london (city of london), south east england, united kingdom
Stanford Black Limited
My client are quietly building one of the most technically ambitious crypto trading platforms in the hedge fund world: a fully systematic, low-latency, high-frequency architecture designed to dominate the world's most volatile, fragmented markets. This is crypto at hedge-fund scale, with real capital, infrastructure and impact on PnL. You'll sit shoulder-to-shoulder More ❯
City of London, London, United Kingdom Hybrid/Remote Options
Hunter Bond
a great culture and are made up of fantastic like-minded technologists! Role: Working as part of a team of engineers looking after and building a zero-down time lowlatency infrastructure Automating anything and everything Work in a project focused team with a chance to work on the most cutting edge technologies on the planet Skills: CCIE … or CCNP certifications in R&S/Enterprise Infrastructure Experience in network architecture, design, deployment, etc. where scale and latency are important Exposure to RF Technology is a huge plus Multicast experience is also a huge plus Strong routing & switching experience Linux experience Network automation experience (Python or Ansible) Experience working in a multivendor environment If you're interested More ❯
Job Role: Linux Production Engineer Location: London Salary: Up to £400k Would you be interested in joining a high-performance trading firm at the forefront of low-latency systems and AI infrastructure? You’ll play a key role in designing and maintaining the open-source proprietary technology that powers large scale ML and AI workloads. This firm invests … firm’s production trading environment Collaborate across engineering teams to analyse and troubleshoot Linux systems Provide high-level operational support across distributed systems Contribute to ongoing improvements in reliability, latency, and scalability Qualifications: Linux expertise with a solid understanding of networking and containerisation Proficiency in at least Python Experience with observability tooling Proven track record in designing and maintaining More ❯
+ benefits/Bonus Join a leading financial technology and trading organisation driving innovation in electronic markets. As an eFX Software Engineer, you'll design and deliver high-performance, low-latency trading solutions that underpin mission-critical systems click apply for full job details More ❯
an exceptional C++ Software Engineer to build and evolve high-performance order gateway systems used in fast-moving fixed income markets. This is a hands-on role developing ultra-low-latency services that handle order validation, routing and ex click apply for full job details More ❯
Design and optimise ultra-low-latency hardware systems that power real-time trading strategies. You’ll join a high-calibre engineering team where your designs directly influence trading performance. Expect a hands-on, fast-paced environment where technical depth, innovation, and collaboration are key. You’ll architect, implement and deploy FPGA solutions across the business. They’re a More ❯
City of London, London, United Kingdom Hybrid/Remote Options
La Fosse
performing engineering teams in AI/ML & Computer Vision. Strong technical background with an emphasis on architecture and system design. Preference for candidates with experience building real-time or low-latency systems – not essential. Ability to lead without being hands-on – this role is more strategic and people-focused. Excellent communication and stakeholder management skills. If you're More ❯
City of London, London, United Kingdom Hybrid/Remote Options
Stax - Deeptech Talent
is a rare opportunity to shape the future of embedded and agentic analytics at scale. Key Responsibilities Define & Drive the Analytics Platform Vision Build and scale a high-performance, low-latency analytics engine that supports embedded dashboards, cross-source joins, and both human and AI-native querying (e.g. Text-to-SQL). Leverage in-app instrumentation (session replays More ❯
brilliant minds, cutting-edge tech, and systems that push the limits of speed and performance. Network Engineer – Prop Trading Firm (London) You will design, optimize, and support a global low-latency network environment. This role will be hands-on engineering with the chance to work with some of the fastest systems and newest technologies in the industry. Key More ❯
Delta Live Tables (DLT), and cost-efficient architecture. Role: Designing and developing streaming and batch data pipelines in Databricks (including DLT). Managing structured streaming in continuous mode, ensuring low-latency data delivery. Collaborating with architects, consultants, and business stakeholders to build a unified Azure-based lakehouse. Troubleshooting and optimising performance bottlenecks in high-volume streaming systems. Applying More ❯
bi-directional communication On-device inference using Edge optimised frameworks Offline-aware & offline-first UX flows using prefetching, caching, and background sync Profile, optimise, and tune the app for lowlatency, efficient memory usage, and battery performance Work closely with AI & ML team members to build context-driven user experiences Help define and evolve a robust mobile architecture More ❯