ML Ops Engineer at Anaplan

Department: Engineering

Location: London, England
Level: senior
Posted: Aug 13, 2026

Description

Anaplan is hiring an ML Ops Engineer for its Platform Engineering team to design, scale, and maintain high-performance MLOps and LLMOps infrastructure for AI scenario planning. The role covers cloud-native AI/ML infrastructure, GPU orchestration, infrastructure as code, CI/CD and MLOps pipelines, LLM deployment, model monitoring, observability, and cost optimization across AWS, GCP, or Azure. Candidates need production DevOps, SRE, or platform engineering experience, cloud and GPU infrastructure expertise, and proficiency with Kubernetes, Terraform, Python, Go, and related AI/ML tools.

Required Skills

Kubernetes
Docker
Terraform
Ansible
GPU orchestration
Python
Go
vLLM
Ray
MLflow
LangChain
DeepSpeed
Hugging Face TGI
Prometheus
Grafana
OpenTelemetry

Additional Information

Required Previous Experiences: Production experience in DevOps, SRE, or platform engineering, including AI/ML infrastructure
Experience deploying, scaling, and operationalizing machine learning models and LLMs in cloud-native production environments
Experience managing compute-intensive GPU infrastructure and high-performance computing environments
Experience with Terraform, Ansible, GitHub Actions, ArgoCD, or Jenkins
Experience with vLLM, Ray, MLflow, LangChain, LangSmith, DeepSpeed, or Hugging Face TGI
Experience with AWS, GCP, Azure, Kubecost, and GPU cost optimization
Strong skills in Python, Bash, or Go, including Linux kernel tuning and performance monitoring