Platform Lead - ML Ops
London, United Kingdom
GBP 80K-109K (estimate) Senior-level Full Time
Tasks
- Automate provisioning with Infrastructure-as-Code
- Build and optimize LLMOps CI CD frameworks
- Build and scale MLOps pipelines
- Define infrastructure roadmap for AI ML workloads
- Deploy LLMs to production
- Enforce data governance and platform security compliance
- Implement FinOps budget management
- Implement autoscaling spot instances and downscaling policies
- Lead DevOps team
- Monitor telemetry model drift and data pipelines
- Optimize cloud cost for AI clusters
- Provide observability and incident response
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Ansible | Autoscaling | Azure | Bash | CI/CD | Cloudability | Docker | GCP | Generative AI | GitHub Actions | Go | Hugging Face | Hugging Face TGI | Hugging Face Transformers | Inference Server | Infrastructure as Code | Jenkins | Kubecost | Kubeflow | Kubernetes | LLMOps | Langsmith | ML model monitoring | MLOps | MLflow | Machine Learning | Model Monitoring | Python | Service Mesh | Spot instances | Terraform | Triton Inference | Triton Inference Server | VLLM | “as-code”
Education
N/A
Roles
Engineer | Lead | ML Ops Engineer | Ops Engineer | Platform | Platform Lead
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