Staff Applied ML Engineer - Financial Crime

Requirements:

• Production experience shipping deep learning models at scale
• Ability to make architecture-level decisions independently
• Experience designing ML systems with hard latency and throughput requirements
• Strong fundamentals in deep learning
• Track record of influencing technical strategy across teams
• Python, PyTorch, distributed training, ML pipeline orchestration

Nice to Have:

• Experience in FinCrime, fraud detection, AML, or regulated financial services
• Experience with graph-based methods in production
• Foundation model fine-tuning or LLM evaluation experience
• Experience establishing modern ML practices in organizations scaling their ML capabilities

What You'll Be Doing:

• Designing and shipping ML and deep learning models for financial crime detection
• Defining the architecture strategy for modern ML applications to risk
• Building reusable end-to-end pipeline pattern for future models
• Evaluating and prototyping foundation model and embedding approaches
• Partnering with Data Science on model evaluation and experimentation
• Mentoring engineers and data scientists

Perks and Benefits:

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