Top AI & Machine Learning Jobs

As a Lead Data Scientist for Marketing at Wise, you'll develop predictive models for Customer Lifetime Value, assist marketing strategies, evaluate growth opportunities, and collaborate with Data Analysts.

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.

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.

Lead design and productionize deep learning and graph-based models for financial crime detection. Define architecture strategy, build reusable end-to-end pipelines, prototype foundation model and embedding approaches, partner with data science on evaluation and measurement, and mentor engineers and data scientists to scale modern ML practices across FinCrime domains.

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.

Build and maintain a scalable, cost-efficient machine learning platform powering model training, serving, experiment tracking, feature management, and monitoring. Collaborate with data scientists to improve observability, reliability, and developer experience; participate in on-call rotations; drive product and architectural decisions; mentor teammates and raise engineering standards through reviews, documentation, and continuous improvement.

The Principal AI Content Designer will develop AI-driven content systems for the Wise Assistant, collaborate across teams on strategy, elevate design quality, and coach content designers.

As a Principal AI Content Designer, you will lead content strategies, leverage AI to enhance customer support, and collaborate across teams to deliver impactful projects in FinCrime.

Lead development and deployment of machine learning models to detect and mitigate account takeover and send-scam threats. Analyze large datasets, design experiments, build real-time detection pipelines, collaborate with engineers and security analysts, and mentor junior data scientists to continuously improve fraud prevention.

Lead the AML Risk data science team to design, build, and deploy ML systems (unsupervised, semi-supervised, supervised, GenAI) for global AML detection. Hire and mentor specialists, develop detection controls, performance testing, decisioning layers, operational integrations, and maintain production-grade Python services and automated model pipelines.