176 to 200 of 401 Low Latency Jobs in the UK

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 Back … End 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. 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 ❯

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 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 ❯

TDD 4. Requirements Must have Core Java SE Desire to learn Passion for writing clean, re-usable code Understanding of peer-to-peer networks Nice to have High throughput, low latency systems Financial markets FIX Blockchain Spring Hibernate Complex event processing/EPL SQL 5. Company culture We provide best of breed trading venue and post-trade solutions More ❯

Skills & Experience: Strong expertise in Java , Spring Framework/Spring Boot , or similar backend frameworks. Proven experience designing and developing API-based, microservices-driven architectures . Solid understanding of low-latency, multi-threaded systems and distributed messaging . Experience mentoring developers and promoting best practices in code quality and architecture. Collaborative mindset with experience working closely with business 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 ❯

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 ❯

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 ❯

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 ❯

scalability, and mentor a talented development team within a growing technology business. Key Responsibilities Lead the architecture and development of high-performance, secure systems using C#/.NET Build low-latency, scalable applications for real-time communication and data handling Define and implement coding standards, CI/CD pipelines and best practices Resolve complex technical issues to maintain 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 ❯

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 ❯

biotech, medtech, or healthcare environments (ideal). MSc in Computer Science or equivalent experience. Bonus Familiarity with PyTorch, JAX, Hugging Face, and AWS ML services. Experience optimizing models for low-latency inference. Open-source contributions and/or startup experience. Why This Is Unique Globally competitive salary + equity. Shape how customers access and deploy state-of-the More ❯

biotech, medtech, or healthcare environments (ideal). MSc in Computer Science or equivalent experience. Bonus Familiarity with PyTorch, JAX, Hugging Face, and AWS ML services. Experience optimizing models for low-latency inference. Open-source contributions and/or startup experience. Why This Is Unique Globally competitive salary + equity. Shape how customers access and deploy state-of-the More ❯