ML Ops Engineer, Anaplan

Salary not provided

AWS

Docker

Kubernetes

GCP

Python

Bash

Linux

Terraform

Jenkins

Ansible

Azure

Prometheus

Kubeflow

Grafana

Drift

Junior, Mid and Senior level

London

AI-driven scenario planning, analysis, and reporting

Be an early applicant

AI-driven scenario planning, analysis, and reporting

1001+ employees

B2BEnterpriseInternal toolsProductivityAnalyticsBusiness IntelligenceData Analysis

Be an early applicant

Salary not provided

AWS

Docker

Kubernetes

GCP

Python

Bash

Linux

Terraform

Jenkins

Ansible

Azure

Prometheus

Kubeflow

Grafana

Drift

Junior, Mid and Senior level

London

1001+ employees

B2BEnterpriseInternal toolsProductivityAnalyticsBusiness IntelligenceData Analysis

Company mission

To make all planning for all people a reality.

Job

Company

Role

Who you are

Hands-on production experience in DevOps, Site Reliability Engineering (SRE), or Platform Engineering, with some experience dedicated to AI/ML infrastructure
Proven track record of deploying, scaling, and operationalising machine learning models and LLMs in cloud-native production environments
Demonstrated experience managing compute-intensive GPU infrastructure and high-performance computing (HPC) environments
Advanced proficiency in Kubernetes (K8s), Docker, Helm, KubeFlow, and service meshes (e.g., Istio)
Hands-on experience with Terraform, Ansible, GitHub Actions, ArgoCD, or Jenkins
Experience with vLLM, Ray, MLflow, LangChain / LangSmith, DeepSpeed, or Hugging Face TGI
Solid background in AWS / GCP / Azure, Kubecost, and GPU cost optimisation techniques
Strong skills in Python, Bash, or Go; deep knowledge of Linux kernel tuning and performance monitoring

What the job involves

We are seeking a ML Ops Engineer to join our Platform Engineering team at Anaplan. In this role, you will design, scale, and maintain high-performance MLOps and LLMOps infrastructure supporting our cutting-edge AI-infused scenario planning platform
You will work closely with Data Scientists, ML Engineers, and Cloud Infrastructure teams to streamline model training, deployment, and inference while ensuring optimal GPU utilisation, reliability, and cost-efficiency
Provision and manage cloud-native AI/ML infrastructure utilising Kubernetes, Docker, and GPU orchestration frameworks (e.g., NVIDIA GPU Operator, Slurm, or Ray)
Automate core platform infrastructure using Infrastructure as Code (IaC) tools like Terraform, Helm, and Ansible
Optimise GPU compute workloads, high-speed networking, and storage for efficient model training and low-latency inference
Build and maintain robust CI/CD and MLOps pipelines for continuous model training, evaluation, packaging, and production deployment
Deploy Large Language Models (LLMs) and generative AI workloads using advanced inference engines (e.g., Triton Inference Server, vLLM, TensorRT-LLM)
Enable automated model validation, monitoring for model drift, data drift, and latency bottlenecks
Monitor and optimise cloud spend across high-cost GPU/CPU clusters across AWS, GCP, or Azure
Implement auto-scaling strategies, spot instance policies, and dynamic resource allocation to eliminate infrastructure waste
Establish benchmarking and telemetry to track unit economics and throughput for training and serving AI models
Implement end-to-end observability using tools like Prometheus, Grafana, OpenTelemetry, and Weights & Biases or MLflow

Salary benchmarks

Our take

Anaplan is an AI-driven planning platform designed to do more than just plug gaps (it truly replaces the tangled web of legacy tools for the likes of SAP, Oracle, and IBM). Designed as the only "AI-driven scenario planning and analysis platform", it brings together data, modeling, insights, and action across a range of industries. And instead of managing isolated spreadsheets and disconnected tools, it allows business users to break down silo and collaborate fully.

It's setting itself apart with its expansive, adaptable reach, too. From out-of-the-box applications tailored for finance, supply chain, HR, and more, to enterprise-grade capabilities like predictive and generative AI, data integration, and real-time modeling, it offers organizations the tools they need to outpredict, outplan, and outperform.

Anaplan is on a roll too, with annual recurring revenue topping $1B, over 2,400 customers, and fast-growing business lines in finance, sales & marketing, and supply chain. The company is showing what a modern planning platform can really do. And its $500M innovation roadmap (packed with AI-powered tools, scenario planning, and new enterprise applications) means Anaplan is ready to shape the future of decision-making.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

-2% employee growth in 12 months

Glassdoor (4.2)

Company

Funding (last 2 of 6 rounds)

Dec 2017

$60m

SERIES F

Jan 2016

$90m

SERIES E

Total funding: $299.9m

Company HQ

Brickell, Miami, FL

Leadership

Charlie Gottdiener

(CEO)

Currently Board Member at TransUnion, Neustar Security Services, and smartShift.

Share this job

View 43 more jobs at Anaplan