Top Tech Jobs & Startup Jobs in London

Lead design and delivery of cloud-native data and AIML production systems. Build data engineering, backend, Cloud infra/DevOps and MLOps stacks, produce secure production code, architect microservices and distributed, data-intensive applications, and drive adoption/governance of AI-assisted engineering practices while communicating with stakeholders.

Lead design and delivery of high-performance, real-time data pipelines and analytics for trading. Drive AI-enabled data engineering, mentor engineers, manage global initiatives, and improve SDLC, testing, and operational reliability.

Lead development of low-latency equities algorithmic trading strategies and execution platform. Build simulation and automated testing, analyze and tune models/signals, support production incidents, and create scalable real-time processing solutions.

Lead front-end technical direction and hands-on delivery for a latency-sensitive, real-time trading UI. Design scalable UI architecture and component libraries, optimize performance, enforce testing/CI/CD and security standards, mentor engineers, and collaborate with product, SRE, and backend teams to deliver production-grade, compliant solutions.

Lead AI product strategy and execution for agentic AI pipelines automating bank operations. Define metrics, build demos/prototypes, write PRDs and user stories, and coordinate cross-functional teams to deliver production AI products that meet business goals.

Lead development and adoption of information architecture standards, controlled vocabularies, and governed data models. Collaborate with business and technical teams to evaluate technologies, provide technical guidance, influence product design, and standardize operational and analytical data management across the Corporate Investment Bank.

Lead development and architecture of KDB-based data systems for real-time and historical market data. Design, build, test, and operate resilient, high-performance KDB applications; drive SDLC improvements, CI/CD, and automation; mentor and lead teams, capture requirements, and partner with stakeholders and support teams during AWS migration and greenfield projects.

Lead engineering efforts for the Equity Derivatives trading platform: design, build, and troubleshoot Java/JVM microservices, adopt AI-assisted engineering practices, collaborate with traders, quants, product and production teams, and drive CI/CD, resiliency, and secure development across the Agile delivery lifecycle.

Provide legal counsel on cybersecurity, information security, and global security matters; draft and negotiate security terms in supplier and client contracts; advise on incident response, crisis management, and regulatory engagement; support senior management and security and technology teams; participate in policy and advocacy efforts; manage multiple complex matters and outside counsel.

Lead design, development, testing, and operation of ultra-low-latency C++ trading and risk modules, integrating FPGA acceleration. Drive latency optimization, CI/CD, AI-assisted engineering adoption, automation, and cross-team collaboration to ensure reliability and performance.