3 days ago
London, United KingdomStaff+
Responsibilities
- Design and ship deep learning and ML models for real-time financial crime detection.
- Define architecture strategy covering model families, training paradigms, and serving patterns.
- Build reusable end-to-end pipelines from experimentation and training through production deployment.
- Evaluate foundation model and embedding approaches for transaction representation.
- Partner with Data Science on model evaluation, experimentation design, and causal measurement.
- Mentor engineers and data scientists on ML fundamentals, production practices, and architectural decisions.
- Influence technical strategy across teams and own problems from research through impact measurement.
Requirements
- Production experience shipping deep learning models at scale in systems serving real traffic under latency constraints.
- Ability to make and explain independent architecture-level decisions about model selection, training infrastructure, and serving strategy.
- Experience designing ML systems with hard latency and throughput requirements, including quantization, pre-computed embeddings, and batching optimization.
- Strong fundamentals in gradient dynamics, attention mechanisms, graph message-passing, and sequence modelling.
- 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, production graph methods, foundation model fine-tuning, LLM evaluation, or establishing modern ML practices.
Benefits
- Starting salary of £145,000–£182,000 plus RSUs.
- Wise benefits are offered.
- Hybrid work arrangement is indicated by the #LI-Hybrid listing.
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.