Senior Machine Learning Engineer
London, England, United Kingdom
R
GBP 80K-109K (estimate) Senior-level Full Time
Tasks
- Build GenAI and RAG infrastructure
- Build customer analytics models
- Design and analyze A/B tests
- Design and deploy machine learning models
- Develop churn propensity models
- Develop customer segmentation
- Develop next best action models
- Monitor model performance and drift
- Optimize model latency
- Own xLTV and ROI logic
- Productionize machine learning models
- Translate model outputs into actionable insights
Perks/Benefits
- Dental insurance
- Discounts and rewards
- Flexible working
- Four day working week
- Gym membership
- Learning and development budget
- Life assurance
- Matched contribution pension scheme
- Paid sabbatical
- Private health insurance
- Work from anywhere
- Work-life balance
Skills/Tech-stack
A/B | A/B Testing | B testing | Clustering | Deployment Automation | Docker | Feast | Feature Stores | Git | Grafana | Kafka | Kubernetes | Latency optimization | MLflow | Model Monitoring | PySpark | Python | RAG | Tecton | Unit Testing | Vector Databases
Education
N/A
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