Top AI & Machine Learning Jobs

Lead and build Wise's Risk Modelling ML engineering pillar: design a Model Factory and experimentation engine, implement model ops (retraining, drift detection, monitoring), hire and mentor senior ML engineers, set engineering standards, and partner with platform teams to safely scale hundreds of real-time financial crime models.

Lead Data Scientist for CRM/personalisation owning end-to-end production ML: feature pipelines, model training, inference and impact measurement. Build predictive, uplift, and recommendation models, design and analyse A/B tests, partner with analysts, engineers and CRM managers, and translate models into measurable CRM growth levers.

Lead Data Scientist responsible for designing, implementing, and deploying liquidity management and risk models. Work with Treasury, engineering, and product teams to forecast supply and demand, optimise cash placement, prepare stress scenarios, and present model results to stakeholders to keep liquidity risk within appetite.

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.

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.