26 to 37 of 37 Low Latency Jobs in Berkshire

fairness. Develop and optimize advanced analytics and visualization frameworks to support decision-making at scale. Collaborate with engineering teams to ensure production-grade scalability, low latency, and operational resilience of deployed models. Integrate trust and explainability into model design, generate confidence scores, ensure fairness, and maintain auditability. Continuously ...

Security/threat modelling expertise: Understanding of adversarial AI, prompt injection, or system security • Real-time systems experience: Trading systems, fraud detection, or other low-latency critical infrastructure • Open source contributions in relevant domains (AI frameworks, monitoring tools, security infrastructure) Bonus Points (Nice to Have) • Understanding of regulatory ...

Senior Exchange Connectivity Engineer to join their London office. This role sits at the heart of their trading infrastructure, focusing on ultra-reliable, low-latency integrations with major crypto exchanges. Key Responsibilities Design and implement exchange connectivity modules (REST, WebSocket, FIX, proprietary APIs). Optimize order entry, market ...

real-time time-series prediction and feature engineering. Ability to write clean, reliable, performance-oriented code from prototype to production. Proficiency in C++ for low-latency execution and optimisation. Attributes Clear communicator with strong analytical rigour. End-to-end builder who enjoys taking ideas ...

leadership role focused equally on technical depth, strategic decision-making, and driving platform SRE excellence. Key Responsibilities Lead SRE practices for Linux platforms powering low-latency, high-throughput trading workloads. Architect, optimize, and tune Linux for performance, resilience, and minimal latency. Drive incident response, root cause analysis ...

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 ...

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 ...

technology to drive decision making at scale. Your Responsibilities (Full Spec. Available): Develop and optimise high-frequency trading systems Write efficient code to minimise latency, maximise throughput and ensure seamless operation under high-pressure conditions Driving innovation by exploring new technologies, machine learning and cutting edge tools to advance … competitive edge Who You Are: Strong proficiency in any OO language (they are agnostic) - (low-latency or systems-level experience preferred) Deep understanding of data structures, algorithms, and computer architecture Proven ability to tackle complex challenges with initiative and agility in high-pressure environments Apply now or reach ...

Outside) | 6-months | London, Hybrid Develop, maintain, and optimize robust backend services and APIs that power our mobile and web platforms Design and implement low-latency event processing pipelines Ensure backend infrastructure is reliable, scalable, and secure Enhance database efficiency and refine data storage strategies Maintain comprehensive multi ...

Role We're hiring a Backend Engineer with deep distributed systems expertise to help architect and optimize our core infrastructure. You'll work on low-latency, high-throughput systems that power decentralized coordination, execution, and data integrity across global nodes. What You'll Build • Core backend services ...

large-scale, high-performance data center operations. Expertise in capacity management, telemetry, and operational best practices. Knowledge of co-location environments and infrastructure for low-latency systems. Strong leadership and vendor management skills, with a global perspective. Why This Role? Be a key player in managing infrastructure critical ...

inference using Edge optimised frameworks Offline-aware & offline-first UX flows using prefetching, caching, and background sync Profile, optimise, and tune the app for low latency, efficient memory usage, and battery performance Work closely with AI & ML team members to build context-driven user experiences Help define ...