Data Scientist (production grade ML)
GBP 70K-90K (estimate) Senior-level Full Time
Tasks
- Build and deploy distributed scalable machine learning pipelines
- Collaborate with software engineers, data scientists, and energy analysts
- Design machine learning infrastructure for deployment and monitoring
- Develop real time classification and anomaly detection models
- Ensure uptime and fault tolerance of ML pipelines
- Implement data lineage tracking and model governance
- Manage full ML model lifecycle experiment design development validation deployment monitoring maintenance
- Validate models with domain experts
Perks/Benefits
- Equity options
- Flexible work schedule
- Global volunteering policy
- Hybrid working
- Private health insurance
Skills/Tech-stack
AWS | Anomaly Detection | Apache Kafka | Classification | CloudFormation | Data Lineage | Data Privacy | Data privacy compliance | Distributed tracing | EC2 | Generative AI | Kubernetes | Lambda | Logging | MLflow | Machine Learning | Model Governance | Monitoring | Privacy Compliance | PyTorch | Python | Real Time | Real-time Streaming | S3 | SageMaker | Series analysis | Series forecasting | Terraform | Time Series | Time Series Analysis | Time Series Forecasting | Transformers | XGBoost
Education
N/A
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