5 of 5 Remote/Hybrid Low Latency Jobs in Edinburgh

Senior C++ Developer/Engineer (C++ Rust Low Latency Trading) London/WFH to £180k+ Are you a Senior C++ Developer to progress your career and transfer your skills to Rust? You could be joining a hugely profitable High Frequency Trading firm that specialise in crypto markets … backend OOP, multithreaded software engineering experience with C++ and are comfortable working with Rust going forward You have experience of working on high throughput, low latency systems with microseconds/nanoseconds, within a finance (or games) environment You have a good understanding of low level system design ...

codebase Personality: humble, curious, comfortable asking questions and learning fast Nice to have Experience with any of: Windows, Linux, Python, C#, JS/TypeScript, low-latency systems Interest in improving the tech stack and tools; C++ version upgrades, CI tool improvements, roll out AI tools etc. Network programming ...

maintain real-time voice services using SIP, RTP, and WebRTC technologies. Develop APIs and internal tooling for call control, provisioning, and monitoring. Ensure low-latency, high-quality audio and reliable call delivery across regions. Collaborate with AI teams to integrate voice services with speech recognition, TTS, and conversational … communications platforms. Proficiency in at least one backend language (e.g., Python, Go, Java, or C++). Strong understanding of networking concepts (NAT traversal, codecs, latency, jitter). Experience with cloud infrastructure and distributed systems. Ability to lead technical decisions and collaborate across multiple engineering disciplines. Nice to Have Experience ...

systems. Ideal for someone who thrives in fast-paced, trading-led environments where precision and performance are non-negotiable. Key Responsibilities Build and maintain low-latency distributed data pipelines Develop and run real-time time-series data collectors Automate monitoring and data quality checks Create tools and APIs ...

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 ...