Platform Lead - MLOps

Anaplan; Greater London; On-site; GBP 120,000 - 160,000; Full time

Job summary

Anaplan is seeking a hands-on Platform Lead to head our MLOps infrastructure and guide a high-performing DevOps team in London. You will define the AI/ML infrastructure roadmap, automate multi-cloud provisioning via IaC, and deploy LLMs into production with resilient LLMOps pipelines using Triton, vLLM, or Hugging Face TGI for ultra-low latency.

You will establish robust FinOps frameworks to manage expensive GPU/CPU cloud budgets, enable auto-scaling and spot instances, and provide full

Qualifications

• Experience building and leading MLOps platforms powering production AI/ML workloads.
• Proven ability to define AI/ML infrastructure roadmaps and implement scalable pipelines.
• Strong governance, security, and FinOps focus for cloud-based ML systems.

Responsibilities

• Head a DevOps/Platform team focused on MLOps and LLM deployment.
• Architect and automate multi-cloud provisioning with Infrastructure as Code.
• Ensure low latency, high availability, and proactive monitoring of models and pipelines.
• Institute FinOps practices to manage GPU/CPU cloud budgets and reduce waste.

Skills

MLOps

Platform leadership

DevOps

Cloud cost optimization

Tools

Triton

vLLM

Hugging Face TGI

Terraform / IaC

Job description

We are seeking a hands-on Platform Lead to head our MLOps infrastructure and lead a high-performing DevOps team. Collaborating closely with Data Science and Engineering leaders, you will define our AI/ML infrastructure roadmap, automate multi-cloud provisioning via Infrastructure as Code (IaC), and deploy Large Language Models (LLMs) into production. By architecting resilient LLMOps pipelines and utilising serving frameworks like Triton, vLLM, or Hugging Face TGI, you will guarantee ultra-low latency, high availability, and proactive model monitoring.

Crucially, you will instil financial accountability by establishing robust FinOps frameworks to manage high-cost GPU/CPU cloud budgets. Through auto-scaling, strategic spot instances, and down-scaling policies, you will eliminate compute waste and provide complete visibility into the unit economics of training and serving LLMs. Alongside cost-optimisation, you will enforce rigorous data governance, robust platform security, and 24/7 incident response, ensuring our AI initiatives scale securely and sustainably.