76 to 100 of 141 Low Latency Jobs in London

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-enpd ownership of features and close collaboration ...

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 ...

pricing and risk concepts. Strong programming expertise (Python, Java, C++) with proven experience building distributed data and analytics systems, including high throughput pipelines and low latency computation. Strong understanding of AI/ML systems and production deployment, including model lifecycle management. Experience within a financial data provider, exchange ...

experience in a wide range of complementary industries would also be beneficial. Specifically experience moving large amounts of data around in real time at low latency, paging, caching etc. We will consider candidates without commercial Rust experience as long as they are strong senior developers in another systems ...

leads a global team of highly skilled employees and is accountable for building and scaling a world‐class technology organization that delivers secure, resilient, low‐latency, and highly available voice and collaboration solutions for financial markets participants. The CTO will align technology investments with commercial goals, product roadmap ...

Experience in providing mentorship and support to team members Significant, professional experience within capital markets, developing software solutions using Java in a highly performant, low latency manner Experience using Aeron in a high-performance scenario within capital markets or digital assets Familiarity with appropriate data structures and their ...

analytics, quantitative methods, and e-trading platforms. Our Ideal Candidate The ideal candidate possesses expert Java skills and strong Python capability, with experience building low-latency, high-performance trading systems and scalable, production-grade applications. They have a solid understanding of e-trading environments, including RFQ workflows ...

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/ ...

Java, Low-Latency, Multi-threading, AI, Transformation, Algo CORE BANKING, TRADING SYSTEMS or HIGH TRANSACTIONAL SYSTEMS EXPERIENCE ESSENTIAL Join a newly formed Service Modernisation & AI team driving AI-first software development in financial services. This is a hands-on role modernising high-impact legacy services while building ...

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 ...

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 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 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 strategy Strong 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 the company stays fast and stable ...

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 ...

Time Inference: Build and maintain robust end-to-end ML pipelines covering training, validation, deployment and monitoring, and develop real-time inference systems with low latency and high throughput. Monitoring & Reliability: Implement model monitoring, drift detection, alerting and retraining, and optimise models for reliability and cost efficiency ...

dedicated operations team who handle most issues. Some key examples of the sort of work the team does: Data feed development for high volume low latency exchange connections Development and maintenance of key libraries used by the entire team Development of key underlying transport protocols for transmission ...

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 ...

person others look to for the hard calls. Experience delivering data products that serve diverse consumers — analytics, APIs, AI/ML systems — with different latency, quality, and access requirements. Background in financial services, insurance, or broking is a plus but not required. Technical Skills Deep expertise in Databricks, including … experience implementing quality, schema, and SLA commitments in production. Familiarity with the machine interface layer: APIs (REST, GraphQL), AI agent frameworks, MCP, vectorization, and low-latency query patterns for AI consumption. Understanding of foundational governance capabilities: access security (Entra ID, Unity Catalog), data lineage tooling, CI/ ...

simulation platforms underpinning sophisticated quantitative research and investment strategies. Scale cutting-edge machine learning workloads across large distributed compute environments. Optimise mission-critical, low-latency infrastructure where performance and reliability are paramount. Own the full lifecycle of solutions, from early-stage research and experimentation through to production deployment ...