Lead ML Engineer / Scientist
London, United Kingdom
GBP 85K-115K (estimate) Senior-level Full Time
Tasks
- Build ML experimentation tooling
- Build distributed data-processing pipelines
- Collaborate with cross-functional stakeholders
- Create monitoring and alerting for ML systems
- Deliver proof of concept to MVP
- Design and measure experiment impact
- Develop ML label platform
- Develop ML tooling for experiments
- Drive ML governance
- Ensure disaster recovery for ML systems
- Maintain documentation and project updates
- Mentor junior members on experiment design
- Own label quality
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AWS | AWS Lake Formation | Amazon SageMaker | Apache Spark | B testing | CI/CD | DBT | Data Processing | Distributed data | Distributed data processing | Docker | EMR | GitHub Actions | Graph Machine Learning | GraphFrames | Iceberg | Java | Kafka | Knowledge graphs | Lake Formation | MLflow | Machine Learning | Probabilistic Programming | PyTorch | Python | Ray | Retrieval-Augmented Generation | S3 | Scikit-learn | Terraform | XGBoost
Education
N/A
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