Top Tech Jobs & Startup Jobs in London

Lead DevOps Engineer on an agile team supporting low-latency electronic trading, data analytics and quant environments. Provide technical leadership, develop and review production code, manage CI/CD and release activities, automate tooling, monitor capacity, and deliver third-level production support while advocating firmwide engineering practices.

Lead execution research and transaction cost analysis to inform algorithm roadmap. Build and govern TCA frameworks, run market-microstructure research and A/B tests, develop pre- and post-trade models, translate findings into production features, and partner with Product, Trading, and Technology while mentoring junior researchers.

Lead strategic UX initiatives across data platform products: define design/research strategy, create wireframes and prototypes, build and scale design systems, partner with engineering, apply inclusive and accessible design, mentor designers, and use research and data to drive customer-centric experiences.

Lead end-to-end Payments AI transformation projects: plan, govern, and coordinate delivery with Product, Technology and firmwide stakeholders. Drive cross-functional teams, establish governance, track success metrics, manage risks, and ensure data and solutions are implemented to meet strategic objectives.

Design, build, test, and operate secure full-stack features using Java-based microservices and event-driven architectures. Contribute to system design, debugging, automation, CI/CD, and production stability. Collaborate on architecture reviews, share engineering best practices, and responsibly use enterprise AI-assisted development tools.

Design, build, test, release, and operate secure, resilient full-stack features for production services. Lead architecture and delivery, author and review Java-based code, troubleshoot cross-service production issues, implement automation and CI/CD, improve performance and stability, and mentor teammates while responsibly leveraging enterprise AI-assisted development tools.

Design, build, and operate reliable, scalable AI/ML platform infrastructure. Develop observability, resilience, security, and automation tooling, own NFRs, participate in on-call rotations, troubleshoot production issues, and collaborate cross-functionally to support large-scale AI deployments.

Design, develop, and maintain KDB-based systems for large options datasets; build scalable real-time and historical data applications; write secure production code, optimize query performance, ensure high availability and resiliency; collaborate with stakeholders and support teams; work within agile CI/CD processes and assist platform migration.

Lead an agile engineering team to design, develop, review, and maintain secure, high-quality production code. Provide technical guidance, drive product and architecture decisions, champion AI-assisted development practices, ensure SDLC automation and validation, and promote reuse and operational stability across engineering teams.

Lead an agile engineering team to design, build, review, and maintain secure, high-quality production software. Provide technical direction, drive product and architecture decisions, champion firmwide SDLC practices and AI-assisted engineering, and ensure operational stability and reusable automation across cloud-native applications.