Top AI & Machine Learning Jobs in London

Build Wise’s production ML platform for financial crime detection. Responsibilities include designing declarative training pipelines, model packaging and serving abstractions, evaluation frameworks, monitoring and drift detection, automated retraining, audit trails, and integration with central ML infrastructure. The role focuses on improving data scientist productivity through reliable, scalable, standardized tooling and requires strong software engineering and end-to-end ML lifecycle expertise.

Design and lead Wise Assistant’s conversational AI systems for customer support. Responsibilities include architecting agents, defining prompts, context, knowledge, guardrails, and reasoning; partnering with engineers, product managers, and data scientists; setting automation strategy; improving quality; influencing cross-functional teams; and coaching designers on model and content design.

Build and deploy AI agents and automations for Wise’s Customer Support and KYC Operations teams. The role covers opportunity discovery, data readiness assessment, systems integration, software development, testing, monitoring, and continuous improvement. The Senior Manager will partner with operations, Product, Engineering, Privacy, Security, and Compliance teams to deliver reliable, scalable AI solutions, document reusable approaches, and drive adoption while improving efficiency, accuracy, and compliance.

Lead analytical data science for Wise’s customer support organization. Measure service quality, diagnose root causes, design metrics, evaluate interventions, and use experiments, causal inference, machine learning, NLP, and LLM techniques to improve customer outcomes. Partner with Product, Design, Operations, and Engineering to guide automation strategy, prioritize opportunities, and influence product and business decisions using customer, conversational, and operational data.