4 of 4 Low Latency Jobs in Woking

Software Engineer

Hiring Organisation
Understanding Recruitment
Location
Woking, Surrey, UK
Employment Type
Full-time
Low Latency C++ Engineer | Crypto Trading Powerhouse Up to £185,000 DOE + RSUs + Bonus + Benefits 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++ ...

Senior Software Engineer

Hiring Organisation
Oracle
Location
Woking, Surrey, UK
Employment Type
Full-time
technical foundation for customer-facing DDoS capabilities. Basic qualifications 6+ years building production backend systems (at least 3 years in high-scale or low-latency environments). Proficiency in one or more: Java/Python/C Rust/Go Strong preference for Java for control-plane/… gates from prototype to GA. Collaborative, inclusive engineering culture with code reviews, design docs, and knowledge sharing. What you'll do Design and build low-latency backend services for DDoS detection, classification, and mitigation across OCI's global edge. Implement scalable data and control planes (policy, signaling, telemetry ...

Embedded Software Engineer

Hiring Organisation
Motion Applied
Location
woking, south east england, united kingdom
ECUs, sensors, and control systems across the product lifecycle. Interface with hardware using motorsport protocols (e.g., CAN, XCP, Ethernet). Optimize code for low-latency, high-reliability performance in race environments. Provide support to the development and trackside operations teams with diagnostics, calibration, and live data analysis. Occasional ...

AI/ML Engineer

Hiring Organisation
Brio Digital
Location
Woking, Surrey, UK
Employment Type
Full-time
advanced machine learning and deep learning models into production. Architect scalable LLMOps pipelines on GCP/Vertex AI, including fine-tuning, vector search, and low-latency inference. Build end-to-end LLM applications, leveraging RAG (Retrieval-Augmented Generation), agentic workflows, and prompt engineering. Implement robust evaluation frameworks ...