Staff Applied ML Engineer - Financial Crime

Requirements:

• Production experience shipping deep learning models at scale - systems serving real traffic under latency constraints
• Ability to make architecture-level decisions independently - model selection, training infrastructure, serving strategy - and explain the reasoning and tradeoffs
• Experience designing ML systems with hard latency and throughput requirements, including optimisation decisions (quantization, pre-computed embeddings, batching strategies)
• Strong fundamentals in deep learning: gradient dynamics, attention mechanisms, graph message-passing, sequence modelling
• Track record of influencing technical strategy across teams - you don't just build, you shape direction
• Python, PyTorch (or equivalent), distributed training, ML pipeline orchestration

Nice to Have:

• Experience in FinCrime, fraud detection, AML, or regulated financial services
• Experience with graph-based methods (GNNs, entity resolution, link analysis) in production
• Foundation model fine-tuning or LLM evaluation experience
• Experience establishing modern ML practices in organisations scaling their ML capabilities

What You'll Be Doing:

• Designing and shipping ML and deep learning models for financial crime detection - sequence-based, graph-based, attention-based - serving real-time decisions at Wise's scale
• Defining the architecture strategy for how Wise applies modern ML to risk - which model families, which serving patterns, which training paradigms
• Building the reusable end-to-end pipeline pattern - from experimentation through training to production deployment - that future models follow
• Evaluating and prototyping foundation model and embedding approaches for transaction representation across FinCrime domains
• Partnering with Data Science on model evaluation, experimentation design and causal measurement in domains where clean A/B testing isn't always possible
• Mentoring engineers and data scientists on modern ML fundamentals, production best practices, and architectural decision-making

Perks and Benefits:

• Starting salary: £145,000 - £182,000 + RSUs
• Wise Benefits