Lead ML Engineer / Scientist
London, United Kingdom
GBP 87K-115K (estimate) Senior-level Full Time
Tasks
- Build ML experimentation tooling
- Collaborate on ML infrastructure reliability testing and monitoring
- Conduct presentations, demos, and workshops
- Develop ML label platform
- Drive ML projects from proof of concept to MVP
- Enable distributed data processing at scale
- Estimate and measure impact of experiments
- Implement MLOps governance for models
- Improve label quality
- Maintain documentation and progress updates
- Manage stakeholders and project communication
- Mentor junior team members on experiment design
- Own roadmap delivery and onboarding
- Prove value of new methodologies and algorithms
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AWS S3 | Amazon EMR | Amazon SageMaker | Apache Spark | B testing | CI/CD | DBT | Disaster Recovery | Distributed Systems | Docker | GitHub Actions | Graph Machine Learning | GraphFrames | Iceberg | Java | Kafka | Knowledge graphs | Lake Formation | ML Governance | MLOps | MLflow | Machine Learning | Monitoring and Alerting | Probabilistic Programming | PyTorch | Python | RAG | Ray | Scikit-learn | Terraform | XGBoost
Education
N/A
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