176 to 200 of 287 Low Latency Jobs in England

solutions that power our platform and drive our business forward. We are forming a new unit focused on driving automation and efficiency within our Sportsbook. You'll build complex low latency systems to support data science decision-making at scale, to unlock more value for the business. As a Senior Data Science Engineer at DraftKings, you will play 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 ❯

Operate the system and manage production issues in a timely manner. Who You Are (Must-Haves): 7+ years of experience in data engineering, including 2+ years of building scalable, low-latency data platforms capable of handling >100M events/day. Proficiency in at least one programming language, with strong working knowledge of Python and SQL. Experience with cloud 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 ❯

technology initiatives, examples include 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. The ideal candidate will be able to demonstrate interest in understanding how technology operates. It is More ❯

get hands-on with the latest technologies, working on developing and improving a price comparison website. You'd be faced with unparalleled scale projects in a fast-paced and low-latency environment, which sees thousands of transactions pass through the system every second. You'll play a key role in developing a fully scalable platform, that can accommodate 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 ❯

scope for home working for a day or two per week. A highly competitive salary and benefits are on offer to the successful candidate. Keywords: C++, High Performance Software, Low-Latency, Networking, Cambridge Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well More ❯

verbal communication A scientific, curious mindset - and ideally a degree in CS or a STEM subject Nice to have: Experience with React or modern JS frameworks Multi-threaded or low-latency application experience Familiarity with Git, PlasticSCM, or other DVCS tools Perks & Benefits Pension, private health insurance, gym membership Daily snacks, fruit, (and the occasional pizza + cake More ❯

engineering excellence to complex financial problems. Responsibilities Quantitative Advisory & Implementation Lead the design and development of pricing models and algorithmic trading strategies for interest rate products. Architect and deliver low-latency trading platforms and decision-making systems for client use cases. Build analytical tools for automated risk and position management tailored to client infrastructure. Conduct quantitative research to More ❯

systems or cloud computing. We primarily use AWS native technologies, Docker. Significant experience with configuration management and infrastructure as code. We often useTerraform and Ansible. Experience building and owning low-latency, high-availability critical systems or cloud-basedservices. Experience defining, managing, and executing a portfolio of complex engineering projects. Preferred Qualifications: Expertise in event-driven architecture. Expertise in More ❯

value by bringing practical solutions and modern best practices in data engineering - ideally with experience in gaming or similarly high-volume consumer applications. Responsibilities: Design, develop, and maintain scalable, low-latency data pipelines to support gameplay, monetization, UA, and LiveOps. Work across both new and live games to ensure reliable ingestion and transformation of game telemetry, event data More ❯