51 to 75 of 139 Low Latency Jobs in the City of London

systems to on-prem deployments. The team is expanding to meet new strategic demands, including increased automation, enhanced observability, and the rollout of new colocation environments to support lower-latency trading. It’s a technically hands-on position that blends architecture, build, and operational ownership, suited to an engineer with curiosity, precision, and a drive to constantly improve how … improving resilience, performance, and visibility Develop tools and scripts in Python or Go to automate monitoring, configuration, and incident response workflows Contribute to on-prem colocation expansion projects, introducing low-latency engineering practices into the infrastructure Optimise Linux systems for performance and reliability, including kernel tuning and networking configuration Partner with development and platform teams to embed SRE … building or maintaining CI/CD pipelines and GitOps workflows A proactive, analytical mindset - eager to explore, ask the right questions, and challenge the status quo (Preferred) Exposure to low-latency systems, colocation deployments, or real-time trading platforms ... More ❯

Research Infrastructure Engineering team. This group builds and optimises the high-performance platforms that underpin research and trading - spanning operating systems, workload scheduling, HPC, large-scale storage, and ultra-low latency networking. In this role, you will partner directly with researchers and traders, driving the design, optimisation, and scalability of Linux-based systems that enable next-generation trading … Responsibilities Engineer and manage high-performance Linux-based platforms supporting research and trading. Design and optimise workload scheduling , large-scale storage, and SDLC frameworks. Deliver Linux Kernel tuning and low-latency network optimisation . Implement telemetry collection and instrumentation for high-throughput applications. Stay ahead of industry trends, generating POCs for emerging technologies. Collaborate with research and trading More ❯

top-tier Platform Engineer to join its core backend group. The mission: design, scale, and secure an ultra-reliable backend capable of processing millions of on-chain events with low latency, high throughput, and maximum resiliency. Core Responsibilities Infrastructure/SRE (50%) Architect and optimize cloud-native infrastructure across AWS or GCP. Scale and operate Kubernetes clusters for …/On-chain (Strong Plus) Experience with Solana, Anchor, RPC node architecture, indexers Familiarity with high-frequency, real-time blockchain systems Profile Proven experience building and scaling high-load, low-latency, distributed systems. Ability to operate with high ownership in fast-paced engineering environments. Strong debugging and performance optimization skills. Passion for automation, reliability, and precision engineering. Comfortable More ❯

to Have Experience with Docker, KVM, or other container/virtualisation tools Familiar with observability stacks (Prometheus, Grafana) Terraform Practical knowledge of networking protocols and hardware environments Understanding of low-latency or post-trade systems Why Apply? Work on the internal infrastructure that makes the firm run Tackle technical challenges across code, systems, and hardware High autonomy in … an engineering-led environment Exposure to large-scale compute, low-latency trading systems, and incredibly talented dev teams No legacy drag, just clean code, fast iteration, and meaningful work Strict confidentiality applies – your profile is only shared with your permission. More ❯

Quantitative Developer - London/Remote 40+ leading quant firms seeking top-tier developers. Multiple immediate openings. What you'll do: Build low-latency trading systems and infrastructure Develop quantitative libraries and research platforms Optimize execution algorithms and risk systems Requirements: 2+ years quant dev or HFT experience Expert C Python skills Financial markets and trading systems knowledge Our … network: Pay: $180K-$2M+ based on experience Locations: London, Remote Focus: Ultra-low latency, systematic platforms, research infrastructure From prop trading tech to systematic fund platforms. Ready to build the future of trading? Apply now for confidential discussions. More ❯

hedge fund are now seeking a Senior Network Engineer to work on it’s trading infrastructure. To apply, you will ideally be CCIE qualified with a strong background in low latency and multicast networks. Our client is a leading global market maker with an emphasis on technology to match. They seek an experienced profile who would look to … trading technology, invariably around a bleeding edge Cisco environment. What you'll be doing: Design, deploy and troubleshoot global network infrastructure Design industry leading networks Implement optimisations to build low latency network Work on network redesign, expansion and upgrade Support trading teams in relation to high frequency Automation, capacity planning and connectivity advancement Manage network expansion, upgrades and More ❯

ll work closely with world-class technologists and domain experts to deliver scalable, high-performance UIs that support real-time trading and analytics. Key Responsibilities Design and develop responsive, low-latency front-end trading systems using React. Build dashboards and visualisation tools for Fixed Income market data and trade execution. Collaborate with traders, quants, and back-end engineers … end performance tuning. Required Skills & Experience Expertise in React.js and modern JavaScript (ES6+) Proven experience delivering front-end applications in electronic trading environments Strong understanding of performance optimisation and low-latency UI design Experience with real-time data technologies (WebSockets, FIX, etc.) Familiarity with containerized front-end platforms such as OpenFin is a plus Prior exposure to Fixed More ❯

FPGA ENGINEER – ULTRA-LOW LATENCY SYSTEMS Location: London (Hybrid: 4 days onsite) Sector: Quant Trading/High-Performance Computing Industry leading compensation Quant Capital is partnering with a global trading firm building a greenfield FPGA team focused on low-latency, high-throughput hardware systems. This small, senior group will deliver high-speed compute infrastructure integrated directly … into trading, research, and networking pipelines. What You’ll Be Doing Designing and implementing latency-optimised FPGA systems in Verilog/SystemVerilog Developing high-speed modules (PCIe, Ethernet, DDR/QDR) with deep pipelining Using simulation and formal tools (Verilator, Cocotb, etc.) for validation Working across teams (ASIC, software, infra) to co-design tightly coupled platforms Contributing to tooling More ❯

team at one of the most technically advanced hedge funds and market makers in the world (client name kept confidential). This is a rare opportunity to work on low-level Linux engineering that directly supports global trading and research systems. This isn’t a typical Linux admin role. You won’t be managing users or installations — you’ll … be writing the code that shapes the Linux OS itself , making kernel-level changes, tuning for ultra-low latency, and solving the kinds of problems that get escalated all the way to Red Hat. What you’ll be doing: Writing and maintaining tools and infrastructure around the Linux OS Working closely with hardware and trading teams to fine … behavior to uncover and fix bottlenecks Automating the build, test, and release of custom Linux images Helping shape the future of Linux systems at scale in a highly technical, low-latency environment What we’re looking for: 4+ years of deep Linux experience — ideally across RHEL, CentOS, or Ubuntu Strong coding skills in Python or Go (bonus points More ❯

Quant Trading Firm | Up to £155k TC A globally recognised and fast-growing quantitative trading firm is looking for an experienced Network Operations Engineer to support and evolve their low latency network environment . You’ll be joining a collaborative and forward-thinking environment with flat structures and deep technical expertise – ideal for someone who enjoys network automation … experience Recent experience within an investment firm Vendors – Arista, Cisco, Corvil, Nvidia (All not necessary, but the more the better) Python/Golang for Network Automation Proven experience with low latency networking Monitoring and observability tooling such as Nagios, Solarwinds, Prometheus, Alertmanager, Grafana Analysis tooling i.e. Wireshark, Splunk, PromQL Familiarity with IaC/DevOps tools such as Ansible More ❯

be a part of building high-performance trading systems? Contribute to all aspects of application development including functional and technical specifications, design and development. Key Duties & Responsibilities . Write low latency, high throughput C++ code Work on trading tools which leverage all aspects of our high-performance system, this includes order management, exchange connectivity as well as real … industry experience with modern C++ Strong understanding of data structures, algorithms and high-performance application design Solid understanding of TCP/UDP standards and network protocols Experience with writing low latency single and concurrent threaded applications Working practices are relaxed, as is the office environment. They want to get the best out of you and give you an More ❯

and optimisation of ML models for speech separation and noise reduction. Provide technical leadership and mentorship to a small, high-performing engineering team. Bridge research and production — ensuring scalable, low-latency model deployment. Collaborate cross-functionally with software and product teams to integrate ML systems into live products. Contribute to the company’s long-term AI strategy and … speech/audio modelling . Proficiency with Python , PyTorch/TensorFlow , and modern ML frameworks. Track record of delivering production-grade ML systems with measurable performance improvements. Experience with low-latency inference and model optimisation (ONNX, TensorRT, quantisation) is highly desirable. This is an opportunity to take ownership of the machine learning function within a growing AI company More ❯

the ML infrastructure that directly drives trading strategies and PnL. The Opportunity Key Responsibilities Design and implement distributed training pipelines handling high-volume data and complex model architectures Develop low-latency inference systems providing real-time, high-accuracy predictions in production Optimise and extend machine learning frameworks to improve training and inference performance Leverage GPU programming (CUDA, cuDNN … in Python and C++ or CUDA Proficiency with PyTorch, TensorFlow or JAX Hands-on experience with GPU acceleration and distributed training (Horovod, NCCL or similar) Background in real-time, low-latency ML pipelines Familiarity with cloud and orchestration technologies Contributions to open-source ML or distributed systems projects are advantageous Why This Firm? Direct impact: your work feeds More ❯

testing & failure scenario testing Exploratory testing Desirable Experience: Continuous Delivery & CI/CD environments API & UI Testing (Selenium) Event-driven systems & messaging protocols Extreme Programming & Pair Programming Performance/Low Latency experience Low Level coding What We are Looking For: Strong communication skills – comfortable engaging with technical & non-technical teams Inquisitive mindset – you enjoy finding ways to More ❯

and automating manual tasks. · Documenting issues and new processes Skills/Experience required: · Extremely good communication skills, both verbal and written · Previous experience supporting Algorithmic electronic trading platforms – particularly low latency, High Frequency platforms in the Equities, Fixed Income or FX or arenas. · Highly motivated individual who is adaptable to change · SQL/Oracle/Sybase experience (Doesn More ❯

Senior C++ Developer (Python, SQL, Linux, Trading, FinTech, Financial Technology) In this role you will work with the Product team, Infrastructure team, and QA team, to produce high performance, low latency and highly reliable code. Your goal will be to develop software which handle large amount of TPS to drive a highly efficient technology used by several markets More ❯

Familiarity with middle-office workflows (allocations, booking, reconciliations). Proficiency with observability tools (Grafana, Splunk, OpenText/SiteScope/OBM). Good communication, problem-solving, and troubleshooting skills in low-latency, high-volume trading environments . Unix Shell Scripting knowledge and SQL is a plus. Preferred Qualifications Bachelor’s degree in Computer Science, Engineering, Finance, or related discipline. More ❯

L. Prototype solutions in a fast, agile manner with numerous demands from Front Office teams. Be comfortable performing analysis and manipulation of large data sets in a high frequency low latency environment. Provide technical design, architecture and infrastructure expertise to support the growing KDB+ footprint within the bank. Participate in the development of all aspects of product delivery More ❯

a point of contact for senior stakeholders. Projects You’ll Work On Scaling a real-time trading platform: Handle vast growth in electronic trading volumes, ensuring throughput and ultra-low latency. Resilience & recoverability: Build fault-tolerant services and recovery systems for mission-critical trading operations. Automation & testability: Drive forward engineering practices, embedding automation to ensure reliability and speed of More ❯

e.g., Bloomberg, ICE, CME) and internal trading systems. Build and optimize data models for pricing, risk, and PnL analytics. Ensure high availability and performance of data infrastructure in a low-latency trading environment . Implement data quality checks , monitoring, and alerting systems. Work closely with DevOps and infrastructure teams to deploy solutions in cloud and on-prem environments. More ❯

For Solid understanding of Java and core computer science principles (data structures, algorithms, OOP). Strong problem-solving skills and attention to detail. Eagerness to learn about trading systems, low-latency development, and financial markets. Experience with data analytics tools or frameworks (Python, SQL, Pandas, etc.) is advantageous but not essential. A degree in Computer Science, Engineering, or More ❯

for upgrades of existing services.  Work closely with development teams, business analysts, architects, all infrastructure teams to design and setup new systems, improve existing platforms (resilience, high availability, performance, low-latency...).  Coordinate and organise changes with external vendors, markets, ECNs.  Plan, schedule, implement and document the change activities.  Improve team documentation, keep it up-to-date and share More ❯

ring , provides a live transcript, and allows for mid-call user intervention. As the Senior Backend Engineer for Application & AI Orchestration, your central challenge will be solving the “cumulative latency” puzzle. You will be singularly responsible for orchestrating a best-in-class, “buy, don't build” AI stack (STT → LLM → TTS) to deliver a seamless, natural, and responsive voice … to-voice (V2V) experience, targeting a sub-1000ms latency from the moment a caller stops speaking to the moment our AI begins its response. You won't just be integrating APIs; you will be architecting the real-time, high-throughput nervous system of our core AI product. Key Responsibilities AI Orchestration & Core Logic Own the end-to-end backend … architecture for the Personal Welcome Manager, our flagship conversational AI product. Design, build, and optimize the core AI orchestration pipeline (STT → LLM → TTS) to meet our < 1000ms V2V latency target. Serve as the technical lead for our "Buy, Don't Build" AI strategy, integrating, managing, and evaluating third-party AI services from providers like Vapi, Deepgram, and Cartesia. Implement More ❯

of computer science fundamentals and modern software development practices. Experience with development in a Unix and/or Linux environment. Core Java development experience is often required. Experience with low-latency systems development and tick data capture. Knowledge of market data and algorithmic trading data is highly beneficial. Experience with various financial products like Equities, Futures, Options, and More ❯

the future of digital lending. Tech Stack Java 11+ Spring Boot AWS Microservices architecture Docker/Kubernetes Kafka (or similar messaging tools) Key Responsibilities Design and develop high-performance, low-latency software components. Contribute across the full software development lifecycle. Write and maintain clean, testable, scalable code. Manage and enhance CI/CD and development process tooling. Collaborate More ❯