51 to 75 of 90 Low Latency Jobs in London

diverse skills in software development, systems, network, application, and/or database management. This role ensures seamless, continuous coverage of Cboe's real‐time low‐latency trading platforms around the clock and provides direct platform support for Cboe's European operations. Responsibilities Technical Leadership & System Availability: Provide technical ...

team. Knowledge: Knowledge of power markets, particularly short‐term or intraday markets desirable. Familiarity with backtesting frameworks, time‐series data systems, real‐time or low‐latency systems. Understanding of software architecture and distributed system design. Knowledge of data pipelines, time‐series data, and performance considerations. Awareness of trading … system requirements such as latency, resilience, and risk controls. Strong understanding of cloud platforms (Azure, AWS, or GCP). What Brady Offers Great compensation + 5% bonus + private health insurance! 25 days holiday + bank holidays. Half day off Christmas Eve & New Year’s Eve. Pluralsight licences ...

research and experimentation into measurable production improvements. You will work closely with engineers, data scientists, product stakeholders and third-party partners to deliver reliable, low-latency solutions that perform consistently at scale. A core part of the assignment is building and operating cloud-based ML pipelines and APIs … process real-time or near-real-time audio streams. You will produce clear technical specifications, define performance and reliability targets, and ensure solutions meet latency requirements for customer-facing products. You will also monitor production performance, analyse model and system metrics, and proactively drive enhancements to accuracy, robustness ...

aggregate and correlate telemetry across distributed services into unified system-wide views Design and implement logic for hotspot detection and data quality measurement across latency, completeness, accuracy, and stability Develop telemetry pipelines for metrics, logs, and traces across Real Time distributed systems Extend low-level instrumentation approaches where … higher-level language such as Python, Java, or TypeScript Exposure to OpenTelemetry or similar observability frameworks Understanding of SLI and SLO modelling in low-latency or high-availability environments Experience building or operating synthetic monitoring at scale is highly desirable Familiarity with containerised environments and cloud-native architectures ...

Java, or TypeScript Experience with OpenTelemetry SDKs, collectors, and schema conventions for instrumentation and telemetry export Familiarity with SLI/SLO concepts, especially for latency‐sensitive or market data systems Experience building and operating custom synthetic monitoring solutions at scale, including lightweight agents distributed across geographically diverse sites Experience … Kubernetes OpenTelemetry Python Rust TypeScript DevOps More: We are a global investment banking organization seeking an experienced Observability and Performance Engineer to work within low‐latency, high‐frequency environments on a market data project. This is a six‐month rolling contract based in London with a hybrid working ...

Senior Software Engineer C++ (Python, SQL, Linux, Trading, FinTech, Financial Technology, Low Latency, Backend) This is a hybrid role, 3 days remote and 2 days in the office Our client actively encourages diversity, equality and inclusion within its workforce and welcomes applications from a diverse background, REC Solutions ...

best practices across testing, automation, and performance Working closely with product and engineering stakeholders to deliver robust solutions Technology Environment Java and Spring Boot (low-latency) Distributed systems and microservices architecture AI Skills mandatory Angular or TypeScript (full-stack capability beneficial) Cloud and containerisation technologies CI/ ...

risk efficiently.Requirements:- Hands-on experience with distributed systems, including microservices architecture and backend services supporting large-scale traffic.- Proven ability to deliver high-performance, low-latency systems with a focus on speed, scalability, and reliability.- Strong product-oriented mindset, with end-to-end ownership of features and close ...

need? Hands-on experience with distributed systems, including microservices architecture and backend services supporting large-scale traffic. Proven ability to deliver high-performance, low-latency systems with a focus on speed, scalability, and reliability. Strong product-oriented mindset, with end-to-end ownership of features and close collaboration ...

need? Hands‐on experience with distributed systems, including microservices architecture and backend services supporting large‐scale traffic. Proven ability to deliver high‐performance, low‐latency systems with a focus on speed, scalability, and reliability. Strong product‐oriented mindset, with end‐to‐end ownership of features and close collaboration ...

complex software systems and select prudent and pragmatic technologies to fit the business objective. Experience working with trading systems or financial data, working with low-latency systems, or working in a data science- or research-adjacent role a plus. Education Bachelor’s or master’s degree in computer ...

consistency across teams Work directly with trading and quant teams Key Skills and Experience required Proven understanding of FX highly preferred Understanding of ultra low-latency development practices Proven track record of building new systems, replacing legacy systems and renovating existing systems The candidate will have systems (software ...

LangGraph, LangChain, VectorDBs, RAG) Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems Experience designing and scaling low-latency, customer-facing ML/AI architectures Proven experience setting a multi-team ML/AI technical vision and strategy Strong track record ...

LangGraph, LangChain, VectorDBs, RAG)Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems Experience designing and scaling low-latency, customer-facing ML/AI architectures Proven experience setting a multi-team ML/AI technical vision and strategyStrong track record ...

distribution and caching layers for fast, reliable access. Real-time infrastructure for live collaboration, syncing thousands of changes per second across sessions with low latency. Distributed background systems for rendering, asset conversion, and large-scale task orchestration. Scalability and reliability engineering, ensuring Rive stays fast and stable ...

significant daily flow across multiple regions and data centres. Key responsibilities: * Design and development of high-performance trading systems in Java and Rust * Building low-latency automated trading functionality * Contributing to globally distributed mesh-based architecture * Working closely with traders and business stakeholders * Enhancing scalability, resiliency and execution ...

development of high-performance backend services within a secure, cloud-native environment. You will play a key role in building scalable, resilient, and low-latency data platforms, working with modern open-source and commercial technologies while driving engineering excellence across the team. Key Responsibilities Design, develop, document ...

Capabilities, and Skills Design and deploy production ML pipelines using DAG frameworks, including custom operator development and pipeline optimization. Architect and implement high‐throughput, low‐latency microservices with gRPC, REST, and GraphQL, including protocol buffer schema design, streaming endpoints, and load balancing. Apply hands‐on experience with parameter ...

e.g., retention, engagement, revenue) at scale (100M+ users). Production Engineering: You are an engineer first. Deep proficiency in Python/C++, experience with low-latency inference systems, and familiarity with distributed computing frameworks (Ray, Spark, Flink). You write code that survives in production, not just notebooks. … LLMs, RL, multi‐agent orchestration). Technical Strategy: Experience defining technical roadmaps and architectural standards. You can navigate trade-offs between model complexity, serving latency, and engineering velocity. Nice to Have PhD or M.S. in Computer Science, Statistics, or a related quantitative field. Experience at a frontier ...

infrastructure as code Benefits High ownership and real impact on critical systems Work at the intersection of networking, cloud, and automation Solve complex, low‐latency engineering challenge Salary Up to £150k #J-18808-Ljbffr ...

operations of our Market Data Services platform across Global Markets. This individual will lead a team of developers responsible for building highly scalable, low-latency, and resilient market data infrastructure that powers front-office trading and risk activities worldwide.## KEY ACCOUNTABILITIES* Team lead for the developers ...

business focused on Trading Technology hiring across hedge funds, investment banks and proprietary trading firms. They operate within front-office technology, quantitative trading and low-latency infrastructure markets. Why join? • Commission structure up to 35% with uncapped earnings • Promotion to Consultant within 6 months based on performance • Structured ...

Nice to Have Experience with energy trading platforms and APIs (EATT, AIDA) Exposure to quantitative optimisation models (e.g. CPLEX) Background in high-performance or low-latency systems ...

reliable results in near real‐time. Key responsibilities: Develop detectors using advanced computer vision and machine learning (ML) techniques. Optimize solutions to ensure low latency and cost‐effective operation at scale for customers. Apply deep knowledge of the Machine Learning lifecycle, including model training, optimization, experimentation, and maintenance. ...

analytics and data science across Prime Video. Built on AWS cloud technology and processing large volumes of relational data, we focus on delivering secure, low-latency, and highly usable data products. We abstract complexity away from the analytics community, enabling them to innovate faster on behalf ...