Top Tech Jobs & Startup Jobs in London

Lead backend engineering efforts to design, build, operate and secure cloud-native microservices. Deliver reliable, tested, scalable systems, manage stakeholders, coach engineers, support production incidents, and drive adoption of approved AI-assisted development practices.

Lead end-to-end product lifecycle for lending products within wealth management: define product vision and roadmap, run discovery, own backlog, lead agile teams and releases, mentor product analysts, and use data and design thinking to validate and scale customer-centric solutions.

Lead design and delivery of production-grade LLM and multimodal AI systems. Architect scalable APIs, agentic workflows, and high-throughput microservices. Own end-to-end reliability, performance, and continuous improvement while partnering with ML engineering, product, and cloud teams to deploy secure, enterprise-grade AI at scale.

Lead development and management of agentic AI workbench and control environment, drive integration, deployment, and optimization of agent-led workflows, partner with architecture and engineering, manage risk and KPIs, support stakeholder adoption, and mentor team members to deliver measurable business value across Client360.

Lead design, development, testing, release, and production support for Equity Derivatives workflows. Own production outcomes, incident triage, stakeholder communication, UAT, architecture and observability. Drive adoption of AI-assisted engineering practices, maintain release discipline, gather telemetry for stability metrics, and improve system reliability and coding hygiene through cross-functional collaboration.

Design, build, and productionize autonomous and assistive multi-agent AI systems. Implement RAG and semantic search with vector databases, integrate tools/APIs, apply prompt engineering and guardrails, orchestrate microservices workflows, instrument agents for metrics, run evaluations/A-B tests, and mentor teammates.

Lead technical design and development of AI-native systems for credit pre-trade markets. Build scalable AI platforms, modernize legacy systems, deliver secure production code, partner with trading and product teams, support production operations, evaluate vendors, and drive engineering best practices and communities of practice.

Lead backend engineering work using JVM languages to design scalable, reliable, secure, cloud-native, multi-cloud solutions. Drive domain modeling, performance optimization, zero-downtime releases, incident resolution, and operational excellence. Champion adoption and governance of enterprise-authorized AI-assisted engineering practices and SDLC toolchain automation while coaching teams on responsible, secure AI use.

Serve as a Vice President in EMEA Markets Operational Risk Management to oversee implementation of the ORM framework, identify and assess key and emerging market risks, evaluate control effectiveness, collaborate on testing and remediation with first-line teams, recommend process re-engineering, and monitor regulatory developments to mitigate operational risk across CIB Markets.

Support global fixed income index research by analyzing large datasets, building quantitative models, managing client projects, maintaining index operations, evaluating performance and market trends, and producing visualizations and reports to inform strategic product decisions.