Top AI & Machine Learning Jobs

Lead and grow the Generative AI Platform function, guiding engineering leads to build tools, guardrails and production systems for LLM-based applications. Ensure reliability, security, observability and operational excellence across cloud microservices while collaborating with product teams, negotiating vendors, mentoring engineers, and shaping AI enablement and controls across the company.

Lead and grow the AML Risk Data Science team to build, deploy, and maintain ML-based AML detection (unsupervised/semi-supervised/supervised and GenAI). Drive model evaluation, performance optimization, operational integration, production-grade Python services, and cross-functional collaboration to improve detection coverage and investigator insights.

Lead development and deployment of ML and LLM-based AML detection systems (anomaly detection, graph models, Transformers). Mentor teammates, define data strategy, optimize large-scale training, integrate models into production, and communicate results to stakeholders.

As a Lead Data Scientist in Trust & Safety, you will develop ML models to detect fraud and enhance security. Collaborate with teams to analyze data, design experiments, and mentor junior data scientists.

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.

The Lead Data Scientist will enhance fraud detection models, develop machine learning features, and collaborate with the Fraud Risk Team to mitigate risks against financial crime.

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 the Contact Automation team's efforts by designing testing frameworks, enhancing system performance, analyzing data to improve customer experience, and collaboratively working with cross-functional teams.

Lead the AML Risk Data Science team to develop machine learning solutions for detecting financial crime, optimize performance, and mentor team members.