176 to 200 of 379 Low Latency Jobs in England

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 ❯

real-time global trading and decision systems. Flexible Hybrid Model – Combine remote work with the energy of a London-based office. 🧠 Your Role Design, build, and optimize high-performance, low-latency systems for real-time financial applications. Develop scalable, efficient software using C#/.NET, with hands-on involvement in architecture and system design. Partner with Front Office More ❯

ownership of the systems they build. What You’ll Work On Building integrations with new external data sources using advanced web scraping and reverse-engineering techniques. Developing and maintaining low-latency, real-time data feeds to support internal systems and strategies. Improving internal visibility and observability tooling to help diagnose integration issues and identify improvements. Contributing across the More ❯

Hybrid) Salary: Up to £85,000 + benefits Shape the Future of Fintech Infrastructure in the UK If you’re passionate about designing cloud-native platforms, enabling high-throughput, low-latency systems, and ensuring flawless reliability, this is your opportunity to make a tangible impact in the UK fintech ecosystem. About the Role As the UK Engineering and More ❯

Hybrid) Salary: Up to £85,000 + benefits Shape the Future of Fintech Infrastructure in the UK If you’re passionate about designing cloud-native platforms, enabling high-throughput, low-latency systems, and ensuring flawless reliability, this is your opportunity to make a tangible impact in the UK fintech ecosystem. About the Role As the UK Engineering and More ❯

Bank for someone who can code in C++ to join the Front Office Algo team predominantly focussing on Equities, but also covering Multi-Assets to provide strategy and develop low-latency code The team develop and run pricing and hedging algorithms that provide reliable pricing to clients and automate reactions to the market and the banks risk. The … oversee the algos’ performance intraday, verifying pricing and hedging is behaving as expected and acting when needed to fix issues This is an excellent bank to work for with low staff turnover, an inclusive culture, hybrid working model and a bank that encourages high performance for future career progression opportunities. Please apply to this role to find out more. More ❯