Staff Applied ML Engineer - Financial Crime
London, England, United Kingdom
GBP 145K-182K Senior-level Full Time
Tasks
- Build end to end ML pipeline from experimentation to production
- Define ML architecture strategy for risk modelling
- Deploy neural models for real time decisioning
- Design machine learning models for financial crime detection
- Evaluate and prototype foundation model embeddings for transaction representation
- Mentor engineers and data scientists on production ML best practices
- Partner on model evaluation experimentation design and causal measurement
Perks/Benefits
- N/A
Skills/Tech-stack
Attention Mechanisms | Batching | Causal Inference | Deep learning | Distributed Training | Entity Resolution | Graph Neural Networks | LLM Evaluation | Link Analysis | Machine Learning | Machine Learning Pipelines | Model Deployment | Neural Networks | Precomputed Embeddings | PyTorch | Python | Quantization | Real Time | Real-time Systems | Time Systems
Education
N/A
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