Top Tech Jobs & Startup Jobs in London

Lead VAT advisory and risk management for the Global Investment Bank across EMEA. Advise on VAT for banking products, support process transformation, liaise with internal/external stakeholders, and enhance reporting and compliance.

Lead design and deliver high-performance, low-latency trading services. Build secure, observable, resilient microservices, drive architecture, incident response, CI/CD, AI-assisted engineering adoption, and mentor engineers.

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, develop, and maintain secure, high-quality production code and system architectures. Troubleshoot complex issues, analyze large datasets for improvements, ensure application resiliency and CI/CD practices, and contribute to engineering communities and inclusive team culture.

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.

Architect-level hands-on leader for iOS and Android mobile platforms. Own end-to-end mobile architecture, drive technical standards, contribute to core code, lead testing/CI/CD, observability, release processes, and mentor engineers while partnering with product, design, backend, security, and QA.