Principal Machine Learning Engineer
London, England, United Kingdom
GBP 78K-120K (estimate) Senior-level Full Time
Tasks
- Architect MLOps platforms
- Build LLM retrieval augmented generation pipelines
- Build graph neural network solutions
- Build machine learning training pipelines
- Deploy machine learning models to production
- Design multi-agent systems
- Develop model evaluation frameworks
- Ensure data governance and compliance adherence
- Establish CI/CD pipelines
- Implement drift and performance monitoring
- Implement feature and vector stores
- Lead engineering rigor and code quality
- Maintain observability and operational standards
- Orchestrate agent systems
Perks/Benefits
- Annual learning budget
- Childcare support
- Enhanced parental leave
- Home office budget
- Hybrid work
- Life insurance
- Medical coverage
- Pension contribution
- Unlimited time off
Skills/Tech-stack
AWS | Agent systems | Argo Workflows | ArgoCD | CI/CD | Data Governance | Deep learning | Docker | Drift Detection | ETL | Feature Stores | GCP | GRPC | Graph Neural Networks | Kafka | Kotlin | Kubernetes | Language Models | Large Language Models | MLOps | Machine Learning | Model Evaluation | Model Monitoring | Multi-Agent | Multi-Agent Systems | Neural Networks | Observability | PostgreSQL | Python | React | Retrieval-Augmented Generation | Streaming Data | TypeScript | Vector Databases
Education
N/A
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