Lead ML Engineer / Scientist
London, United Kingdom
GBP 75K-115K (estimate) Senior-level Full Time
Tasks
- Build ML experimentation tooling
- Conduct presentations demos workshops
- Deliver onboarding for ML tooling
- Develop ML governance for models
- Develop ML tooling for experiments
- Drive proof of concept to MVP
- Ensure disaster recovery for ML systems
- Estimate and measure impact of ML changes
- Implement monitoring and alerting
- Improve label quality
- Maintain project documentation
- Manage ML experimentation roadmap
- Mentor junior members in experiment design
- Own stakeholder management
- Process large-scale data using distributed systems
- Prove value of new methodologies and algorithms
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AWS | Amazon SageMaker | Apache Spark | B testing | CI/CD | DBT | Distributed Systems | Docker | EMR | GitHub Actions | Graph Machine Learning | GraphFrames | Java | Kafka | Knowledge graphs | Lake Formation | ML Governance | MLOps | MLflow | Machine Learning | Probabilistic Programming | PyTorch | Python | Ray | Retrieval-Augmented Generation | S3 | Scikit-learn | Terraform | XGBoost
Education
N/A
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