Platform Lead: Scalable MLOps & GenAI Deployments

Anaplan Inc; Greater London; Hybrid; GBP 120,000 - 180,000; Full time

Job summary

Anaplan Inc. seeks a Platform Lead to spearhead ML Ops infrastructure, cost-optimisation, and deployment strategies. You will manage a talented DevOps team while remaining deeply technical and hands-on, building scalable platforms for ML and GenAI models with financial accountability.

You will lead infrastructure strategy, automate provisioning, and deploy LLMs with a focus on reliability, security, and cost visibility across cloud environments.

Qualifications

• Proven experience building and operating ML/GenAI platforms in production.
• Demonstrated leadership of engineering teams delivering reliable ML systems.
• Strong track record reducing cloud spend on large AI clusters.
• Experience with CI/CD, IaC, and observability in cloud environments.

Responsibilities

• Lead a DevOps team focusing on ML Ops and GenAI deployment.
• Define infra roadmap for AI/ML workloads and automate provisioning with IaC.
• Architect and maintain robust MLOps/LLMOps pipelines and CI/CD frameworks.
• Deploy LLMs in production with high availability and low latency.
• Establish FinOps to forecast and manage AI infrastructure spend.
• Implement auto-scaling, spot instances, and cost-visibility into unit economics.
• Set up 24/7 observability and incident response for AI infra.
• Enforce data governance, security, and compliance policies.

Skills

ML Ops

Leadership

GenAI deployment

Cloud cost optimization

Kubernetes

Terraform

Jenkins/GitHub Actions

Python/Bash/Go

LLMs

CI/CD

Tools

MLflow

Kubeflow

LangSmith

Phoenix

Kubecost

Cloudability

Triton Inference Server

Docker

Git

Job description

Anaplan Inc. seeks a Platform Lead to spearhead ML Ops infrastructure, cost-optimisation, and deployment strategies. You will manage a talented DevOps team while remaining deeply technical and hands-on, building scalable platforms for ML and GenAI models with financial accountability.

You will lead infrastructure strategy, automate provisioning, and deploy LLMs with a focus on reliability, security, and cost visibility across cloud environments.