Senior ML Engineer, Doc Fraud
United Kingdom - London (Onfido)
GBP 70K-85K (estimate) Senior-level Full Time
Tasks
- Build document classification and extraction systems
- Coordinate cross team solutions for technical problems
- Deploy ML features from design to production
- Design GPU optimizations for inference
- Develop training and evaluation pipelines for LLM models
- Drive continuous improvement retrospectives and documentation
- Ensure observability reliability performance and scalability
- Implement labeling workflows to improve model accuracy
- Lead RFCs code reviews testing and documentation
- Lead technical design and implementation for complex features
- Measure success with metrics
- Mentor engineers through pair programming and technical guidance
- Optimize model inference for real time extraction
Perks/Benefits
Skills/Tech-stack
AWS | Code review | Documentation | Evaluation Pipelines | GPU Optimization | Kubernetes | LLM Inference | Labeling workflows | Language Models | Large Language Models | Machine Learning | Model Deployment | Observability | Performance optimization | PyTorch | Python | Real Time | Real-time Processing | Reliability Engineering | Ruby | TensorFlow | Testing | Time processing | Training pipelines | Triton | TypeScript
Education
N/A
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