6 days ago
London, United KingdomStaff+
Responsibilities
- Design and ship sequence-based, graph-based, and attention-based ML and deep-learning models for real-time financial crime detection.
- Define architecture strategy covering model families, training paradigms, serving patterns, and optimization decisions.
- Build reusable end-to-end patterns from experimentation and training through production deployment.
- Evaluate foundation-model and embedding approaches for transaction representation across financial-crime domains.
- Partner with Data Science on model evaluation, experimentation design, and causal measurement.
- Mentor engineers and data scientists on modern ML, production practices, and architectural decision-making.
Requirements
- Production experience shipping deep-learning models at scale under real-traffic and latency constraints.
- Ability to make and explain independent architecture-level decisions across model selection, training infrastructure, and serving strategy.
- Experience designing ML systems with hard latency and throughput requirements, including quantization, pre-computed embeddings, and batching strategies.
- Strong fundamentals in gradient dynamics, attention mechanisms, graph message-passing, and sequence modeling.
- Track record of influencing technical strategy across teams.
- Experience with Python, PyTorch or an equivalent framework, distributed training, and ML pipeline orchestration.
- Preferred experience includes financial crime, fraud detection, AML, regulated financial services, graph-based production methods, foundation-model fine-tuning, LLM evaluation, or establishing modern ML practices.
Benefits
- Starting salary of £145,000–£182,000 plus RSUs.
- Wise benefits package.
- Hybrid work arrangement, as indicated by the #LI-Hybrid designation.
Categories
About Wise
Wise builds a cross-border payments and multi-currency account used by individuals and businesses to send, receive, hold, and spend money in 40+ currencies. Revenue comes from transfer and account fees, card interchange, and enterprise partnerships via Wise Platform, which lets banks and large companies embed its international payments. Founded in 2011 as TransferWise, Wise is a London-headquartered public company.
