151 to 175 of 251 Low Latency Jobs in London

s biggest players in over 120 countries to trade hundreds of billions of dollars with each other every day. Our trading applications are distributed, fault-tolerant, highly transactional and low-latency. Our team FXGO is a growing team of talented engineers who are passionate about our product. We take pride in building one of the premier FX trading platforms More ❯

s or Master's degree in Computer Sciences, Data Science, Engineering, or a related field. Experience in the finance or cryptocurrency sectors. Experience with exchange connectors implementation. Familiarity with low latency systems and high-frequency trading environments. Job responsibilities Trading Engine Operations: Ensure that day-to-day trading operations run smoothly. Trading Engine Development: Develop the existing and More ❯

support for overseas applicants - Modern tech stack deployed alongside some of the best talent in quant finance Requirements: - Excellent C++ programming skills, ideally using a modern version - Expertise with low latency/high throughput systems - Some level of experience with Python - Experience working with systems processing high volumes of data (terra or petabyte-scale) - Extensive expertise with at More ❯

support for overseas applicants - Modern tech stack deployed alongside some of the best talent in quant finance Requirements: - Excellent C++ programming skills, ideally using a modern version - Expertise with low latency/high throughput systems - Some level of experience with Python - Experience working with systems processing high volumes of data (terra or petabyte-scale) - Extensive expertise with at More ❯

our Small team to ensure timelines are delivered. What you'll do Design, build, and maintain high-performance back-end services and APIs for mobile and web apps. Architect low-latency pipelines to process sports events in real time. Ensure system reliability, scalability, and security across back-end infrastructure. Optimize database performance and data storage solutions. Implement multi More ❯

directly drive strategy execution and profitability. Enable traders and researchers to operate at scale by building robust infrastructure, analytics tools, and automation. Shape the architecture behind live trading, reduce latency, and solve complex real-time challenges in collaboration with a high-calibre, cross-functional team. Responsibilities: Design, develop, and maintain a low-latency trading system in Rust. … of algorithms and data structures, as well as quant finance concepts: limit-order books, market microstructure, pricing. Experience with real-time data processing, IPC/shared-memory architectures, and low-allocation/zero-copy design. A Bachelor's degree (minimum) or PhD (preferred) in Computer Science, Mathematics, Physics, or a related field. Prior experience in high-frequency trading, market More ❯

technology. Key Responsibilities: Develop and optimize systematic, high-frequency trading strategies. Conduct quantitative research to uncover market inefficiencies and improve model robustness. Collaborate with engineering teams to build scalable, low-latency trading systems. Leverage machine learning and statistical methods to enhance signal generation and performance. Mentor junior researchers and foster a culture of technical excellence and collaboration. Who More ❯

technology. Key Responsibilities: Develop and optimize systematic, high-frequency trading strategies. Conduct quantitative research to uncover market inefficiencies and improve model robustness. Collaborate with engineering teams to build scalable, low-latency trading systems. Leverage machine learning and statistical methods to enhance signal generation and performance. Mentor junior researchers and foster a culture of technical excellence and collaboration. Who More ❯

platform, autonomous culture and hiring top talent. The firm empowers teams to operate with autonomy while leveraging industry leading scale and infrastructure. Engineers here work on cutting-edge problems—low-latency systems, hardware acceleration, machine learning—ensuring the platform remains best-in-class. You’ll join a quantitative research team in London as a Quantitative Developer - Python, focusing More ❯

LMAX is renowned for its high-performance, ultra-low latency (we measure in microseconds) exchange written in core Java. We constantly push technology further than most, especially in our greenfield projects, driving the financial industry in new directions. Developers are encouraged to constantly develop and learn new skills. Pair programming supports continual growth of knowledge and sharing of More ❯

infrastructure, including AI ecosystems for GPT, OpenAI, and optimizing data ingestion, model scaling, and performance tuning. Proficiency in Python & C++ for building ML pipelines, optimizing AI inference, and ensuring low-latency execution. Expertise in AI-ready infrastructure, data engineering, modern data management skills, and platforms such as Databricks and SageMaker. Ensure the scalability, reliability, and security of AI More ❯

in sprint refinement sessions. Ideal Experience Experience with Microservice Architecture (Docker, Kubernetes, Helm, Spring Boot, Java, Python). Experience working with Kafka and Domain Driven Design. Experience with designing low latency, reliable (fault tolerant), scalable, secure, and cost-effective solutions on a cloud native platform. Experience with Relational and Nonrelational databases/integrating with third party services. Ability More ❯

in sprint refinement sessions. Ideal Experience Experience with Microservice Architecture (Docker, Kubernetes, Helm, Spring Boot, Java, Python). Experience working with Kafka and Domain Driven Design. Experience with designing low latency, reliable (fault tolerant), scalable, secure, and cost-effective solutions on a cloud native platform. Experience with Relational and Nonrelational databases/integrating with third party services. Ability More ❯

stability Understanding of Credit or similar financial markets products Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field Preferred qualifications, capabilities, and skills Familiarity with modern low-latency technologies About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals More ❯

is not limited to, workload scheduling design and implementation, fleet management, clustered file system design and operation, software design and life cycle (SDLC), kernel and network performance tuning for low-latency and high-throughput applications, and metrics collection and data mining analysis. WHO WE'RE LOOKING FOR • A degree in computer science (or another technical discipline) is required More ❯

sprint refinement sessions etc. Ideal Experience Experience with Microservice Architecture (Docker, Kubernetes, Helm, Spring Boot, Java, Python) Experience working with Kafka and Domain Driven Design Experience with design of low latency, reliable (fault tolerant), scalable, secure and cost-effective solutions on a cloud native platform. Experience with Relational and Nonrelational databases/integrating with third party services. Experience More ❯

Framework. Proven track record of building and deploying AI/ML-powered applications in production environments. Proficiency with async and streaming APIs, enabling efficient real-time data processing and low-latency AI service delivery in microservices (Django, FastAPI, Flask, or similar). Strong understanding of context engineering practices, optimising prompts, memory, and retrieval strategies for LLM-based systems. More ❯

ML & traditional statistical data driven software components. Proficiency in SaaS, API design, Azure/Kubernetes hosting, and Integration technologies. Experience in developing distributed/scalable systems and high-volume, low latency, transaction/computation applications. Broad understanding of the software development lifecycle, including the application of LLM driven and Data Science DevOps/MLOps/AIOps methodologies. Expertise More ❯

ML & traditional statistical data driven software components. Proficiency in SaaS, API design, Azure/Kubernetes hosting, and Integration technologies. Experience in developing distributed/scalable systems and high-volume, low latency, transaction/computation applications. Broad understanding of the software development lifecycle, including the application of LLM driven and Data Science DevOps/MLOps/AIOps methodologies. Expertise More ❯

that operate at scale and meet the expectations of our global user base. Whether its rendering real-time market data, simplifying complex user flows, or optimizing for performance on low-latency devices, youll be at the center of how our clients experience Kraken. This team owns everything from component architecture and design systems to experimentation, analytics instrumentation, and More ❯

CDN and DNS systems while helping build out our greenfield Shield product, focused on WAF, DDoS mitigation, and bot protection at a global scale. You'll design and optimize low-level systems that accelerate clean traffic and stop attacks in real time, fine-tuning for latency, resilience, and performance at the edge. If you like digging deep into … performance, scalability, and security Collaborate across teams to evolve distributed systems for content delivery and edge security Write and maintain code that processes millions of requests per second with low latency and high availability Implement and evolve our WAF, DDoS mitigation, and bot detection capabilities in real time at the edge Work closely with network and security engineers More ❯

job requisition id R-5136 Th e Role We're looking for Software Engineers to join our Joule Direct team, to help us build and improve our high-throughput, low-latency energy trading platform. You'll be working with some amazing technologists to solve complex problems. For us, teamwork is everything. We listen to each other, we adapt … Connector for an Exchange we don't yet support Improve distributed tracing in some of the code hot paths Implement a new Automated Trading feature Benchmarking code to reduce latency Do some design/planning with a colleague and raise an RFC Our Tech Stack Our services are written with C# on .NET 8 We use a fair bit More ❯

ongoing evolution of a global trading platform. Ideal Background: Strong Java development skills; comfortable supporting systems on the trading floor. Experience with algorithmic or systematic trading systems. Familiarity with low-latency or event-driven architectures. Knowledge of financial markets; experience in any asset class (FX preferred). Exposure to tools like KDB or similar is a plus. Any More ❯

to work). As a Rust Developer, you will have the opportunity to: Develop a robust index platform integrated with high-performance, highly distributed AWS deployed systems. Build a low latency multithreaded Rust microservices system containerized in Docker and Kubernetes. Work with Async Rust in Tokio and integrate with Kafka. Work alongside a tight-knit team of highly More ❯

trading. The role also involves engaging in various technology initiatives such as workload scheduling, fleet management, clustered file system design and operation, SDLC, kernel and network performance tuning for low-latency and high-throughput applications, and metrics collection and data mining analysis. The ideal candidate will demonstrate an interest in understanding how technology operates. A degree in computer More ❯