О компании
Wise is a global technology company building a way to move and manage money worldwide. It helps people and businesses send money internationally, spend abroad, and make and receive international payments.
Задачи
•Design and ship ML and deep learning models for financial crime detection, serving real-time decisions at scale
•Define the architecture strategy for applying modern ML to risk, including model families, serving patterns, and training paradigms
•Build reusable end-to-end pipeline patterns from experimentation and training through production deployment
•Evaluate and prototype foundation model and embedding approaches for transaction representation across FinCrime domains
•Partner with Data Science on model evaluation, experimentation design, and causal measurement where clean A/B testing is not always possible
•Mentor engineers and data scientists on modern ML fundamentals, production best practices, and architectural decision-making
•Own problems end to end, from research and architecture decisions through production deployment and impact measurement
Требования
•Production experience shipping deep learning models at scale, serving real traffic under latency constraints
•Ability to make architecture-level decisions independently on model selection, training infrastructure, and serving strategy, and explain the reasoning and trade-offs
•Experience designing ML systems with hard latency and throughput requirements, including optimization decisions such as quantization, pre-computed embeddings, and batching strategies
•Strong fundamentals in deep learning, including gradient dynamics, attention mechanisms, graph message-passing, and sequence modelling
•Track record of influencing technical strategy across teams and shaping direction
•Python, PyTorch or equivalent, distributed training, and ML pipeline orchestration
Будет плюсом
•Experience in FinCrime, fraud detection, AML, or regulated financial services
•Production experience with graph-based methods such as GNNs, entity resolution, and link analysis
•Foundation model fine-tuning or LLM evaluation experience
•Experience establishing modern ML practices in organisations scaling their ML capabilities
Условия
•Starting salary: £145,000 - £182,000 + RSUs
•Wise Benefits
