Related skills
docker python kubernetes ai mlops📋 Description
- Lead a new MLOps team bridging AI research and edge devices.
- Own the Cloud-to-Edge model deployment pipeline.
- Hands-on ~1/3 time: architect solutions and tooling.
- Own the roadmap; collaborate with Embedded NL and London AI/ML.
- Build Shadow Mode infrastructure to test models on production devices.
- Drive governance, monitoring, and health signals for edge models.
🎯 Requirements
- MLOps expertise: deploy ML models to production and edge AI.
- Strong Python skills; automation and IaC.
- Strategic engineering leadership; manage engineers; design reviews.
- Define system architecture; delta updates and event-based systems.
- Containerization and orchestration on embedded devices.
🎁 Benefits
- Flexible vacation + remote work options.
- Autonomy to own your work and decisions.
- Career growth and ongoing professional development.
- Remote-friendly culture with modern tools and support.
- Health, retirement benefits and wellbeing programs.
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