Top AI & Machine Learning Jobs in London

Lead a small product team owning data foundations, analytics and GenAI foundations. Set strategy, manage and coach product managers (including data lake ownership), prioritize GenAI opportunities, build shared production pipelines (retrieval, orchestration, evaluation, guardrails), define AI evaluation metrics, and partner with Legal/Compliance to embed regulatory requirements.

Lead data scientist for Marketing: build and maintain predictive models (LTV, MMM), model customer behavior and product usage, prioritize marketing investments, reduce measurement uncertainty, and partner with analysts and marketers to translate model outputs into actions that drive growth.

Own and operate production quantitative infrastructure for real-time FX pricing, risk, and trading. Build and maintain Python microservices, monitoring, CI/CD, shared quant libraries, and incident response. Collaborate with quants, traders, product and engineering to improve pricing, risk analytics, and trading systems while contributing to quantitative models.

Build a greenfield ML lifecycle platform for financial crime detection: design declarative training pipelines, model packaging/serving, evaluation frameworks, monitoring and drift detection, and integrate with central ML infrastructure to improve data scientist productivity and ensure regulatory auditability.

Design and architect large-scale conversational AI systems and agents for customer support. Own prompts, context and knowledge architecture, define agent behaviour, and collaborate with engineers, product and data science to deliver automation strategy, coach teams, and raise content and model-design maturity.