Senior Machine Learning Engineer (Platform / MLOPs)
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Summary
Build and scale an LLM platform, CI/CD pipelines, and Kubernetes-based infrastructure for ML services, ensuring reliability and real-time model serving.
- Build LLM platform for deployment and governance
- Contribute Python services and libraries
- Design and build scalable ML infrastructure
- Develop CI CD pipelines and Docker tooling
- Ensure production reliability with SLAs and SLOs
- Implement batch inference pipelines
- Implement real time model serving
- Improve observability for production ML systems
- Manage experimentation and cost optimization
- Operate Kubernetes based platforms at scale
- Own end to end ML platform projects
- Provide technical leadership for platform projects
- Serve and support ML tooling for developer teams
Perks/Benefits:
- Annual flu vaccinations
- Gym access
- Hybrid flexibility
- In-office lunch
- Nearmap subscription
- Showers for cyclists
- Stocked kitchen snacks
- Wellbeing and technology allowance
- Wellbeing day off