Staff Machine Learning Engineer
Fleet Place Office, United Kingdom
GBP 80K-90K (estimate) Senior-level Full Time
Tasks
- Define GPU compute strategy for Kubernetes Vertex AI SageMaker
- Define priorities for GPU compute model serving training platforms observability
- Drive production adoption of generative AI and LLMs
- Establish best practices for evaluation deployment experimentation governance
- Improve ML ecosystem observability monitoring and operational health
- Lead foundation model platform evolution
- Mentor engineers through knowledge sharing and technical reviews
- Own ML infrastructure roadmap
- Provide ML architecture guidance across teams
- Resolve cross platform dependencies and remove technical blockers
Perks/Benefits
- N/A
Skills/Tech-stack
Amazon SageMaker | Amazon Web Services | Cloud platform | Data Quality | Deep learning | Distributed Training | Experimentation | Generative AI | Google Cloud | Google Cloud Platform | Kubernetes | LLM Deployment | Language Models | Large Language Models | Machine Learning | Model Drift | Model Evaluation | Model Monitoring | Model Serving | Model Training | Observability | Vertex AI | Web Services
Education
N/A
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