ML Ops Engineer
London, United Kingdom
GBP 80K-109K (estimate) Senior-level Full Time
Tasks
- Automate infrastructure using Infrastructure as Code
- Build and maintain MLOps pipelines
- Deploy large language models and generative AI workloads
- Establish benchmarking and telemetry
- Implement automated model validation
- Implement autoscaling and spot instance policies
- Implement end-to-end observability
- Monitor and optimize cloud spend
- Monitor model drift data drift and latency
- Optimize GPU compute workloads
- Provision and manage cloud native AI ML infrastructure
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Ansible | ArgoCD | Bash | Cloud platform | DeepSpeed | Docker | GitHub Actions | Go | Google Cloud | Google Cloud Platform | Grafana | Helm | Hugging Face | Inference Server | Istio | Jenkins | Kubeflow | Kubernetes | Langchain | Langsmith | Linux | MLflow | Microsoft Azure | OpenTelemetry | Prometheus | Python | Ray | TensorRT-LLM | Terraform | Triton Inference | Triton Inference Server | VLLM | Weights and Biases
Education
N/A
Roles
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