Top Tech Jobs & Startup Jobs in London

Lead design and deliver cloud-native, production-scale data and AI/ML engineering solutions. Build data engineering, backend, DevOps and MLOps stacks; produce secure production code and architecture artifacts; troubleshoot complex systems; collaborate with stakeholders and engineering communities to industrialize AI/ML models.

Lead design and delivery of production-grade AI/ML and agentic solutions for the LLM Suite platform. Own architecture, implementation, and operational stability using public cloud services and agentic frameworks. Build GenAI services, integrate LLMs, ensure secure high-quality code, and improve platform scalability and reliability through collaboration and communities of practice.

Design, build, test, and maintain scalable ELT data pipelines and architectures using Python and Databricks. Ensure data security, entitlement controls, and SDLC quality (CI/CD, testing). Use SQL/NoSQL, update data models, apply enterprise-authorized AI responsibly, and support controls and auditability across the data lifecycle.

Partner with CIB COO to drive strategic business management across Digital & Platform Services. Lead communications, OKR delivery, data-driven analyses, executive messaging, and large-scale events while coordinating stakeholders across HR, Finance, and Internal Comms.

Lead control strategy and risk mitigation for compliance and operational risks across the organization. Use data, AI/ML, automation, and digital tools to detect fraud and strengthen cybersecurity. Manage and mentor a diverse team, engage stakeholders, drive continuous improvement, and ensure operational excellence through project management and quantitative reporting.

Lead a small team of AI specialists to build horizontal capabilities (APIs, libraries, services) for document/email/speech domains, collaborate with Line of Business AI teams to solve priority use cases, design and maintain production model training/serving pipelines, mentor engineers, and drive best practices and thought leadership in applied AI.

Lead design, delivery and maintenance of on-prem and cloud market-data distribution systems (real-time, historical, AI/ML use cases). Collaborate with product/stakeholders, provide 3rd-level operational support, validate AI-assisted recommendations, ensure resiliency, security, auditability and strong process controls.

Lead an agile engineering team to design, develop, test, and operate secure, scalable cloud-native applications. Provide technical guidance, drive product and architecture decisions, champion enterprise AI-assisted engineering practices and governance, and improve SDLC/TLM automation and delivery outcomes across teams while ensuring validation, security, resiliency, and reuse of proven patterns.

Lead transformation roadmaps and program management for global Controls initiatives. Advise senior leaders, build governance and executive reporting, improve analytics and automation, manage risks, and drive adoption of target operating models and continuous improvement.

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.