Top Tech Jobs & Startup Jobs in London

Design, build, and deploy scalable ML services combining NLP, CV, and statistical methods. Collaborate with engineers, cloud and SRE teams to productionize models, ensure observability and compliance, and maintain models over time. Communicate results to stakeholders and document processes for regulatory needs.

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.

Support senior FX sales covering UK hedge fund clients by delivering execution, market insight, and trade ideas across spot, forwards, options and derivatives. Collaborate with traders, research, structuring and prime brokerage, prepare client materials, monitor markets, and help expand client relationships while participating in training and franchise initiatives.

Lead strategy and delivery of AI-driven products for banking operations, identify high-impact AI use cases, own roadmaps and PRDs, manage cross-functional teams through launch, and drive stakeholder alignment to achieve measurable business outcomes.

Lead technology risk and controls for vulnerability management, SDLC, operations, and incident/event management. Define and assess control effectiveness, coordinate responses to audit/regulator requests, analyze compliance, provide risk advisory and oversight for product portfolios, maintain stakeholder relationships, and ensure KRIs inform prioritization.

Manage operational risk and controls for investment products by designing control frameworks, conducting risk assessments, monitoring control effectiveness, supporting remediation, partnering across stakeholders, contributing to CORE, and delivering training and metrics to support product expansion and governance.

Lead product design for enterprise banking products: partner with product, engineering, and data teams to research, prototype, and deliver data-rich workflows and visualizations, evolve design systems, and provide design leadership across global teams to create usable, accessible digital experiences.

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.