ML Ops Lead

Anaplan; City Of London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Anaplan in City of London is seeking an ML Ops Technical Lead to spearhead infrastructure, cost-optimisation, and deployment strategies. You will manage a talented DevOps team while remaining deeply technical and hands-on.

Your mission is to build, scale, and secure foundational platforms for ML and GenAI models with financial accountability. Your impact includes leading DevOps, defining infra roadmaps, maintaining MLOps/LLMOps pipelines, production deployment of LLMs, FinOps governance,

Qualifications

• Extensive production experience deploying and supporting ML systems.
• Proven track record leading engineering teams.
• Experience with Generative AI and LLM deployments.
• Strong automation and IaC background.

Responsibilities

• Lead and mentor a DevOps team.
• Define infra roadmap for AI/ML workloads.
• Architect and maintain MLOps pipelines and CI/CD.
• Deploy LLMs to production with high availability.
• Establish FinOps for AI infra spend.
• Implement auto-scaling and cost-controls.
• Establish 24/7 observability and incident response.
• Ensure data governance and platform security.

Skills

ML model deployment

Team leadership

GenAI/LLMOps

Cloud cost optimization

CI/CD for ML

Python/Bash/Go

Kubernetes & Docker

Data governance & security

Observability & incident response

Tools

MLflow

Kubeflow

LangSmith

Phoenix

Kubecost

Cloudability

Terraform

Ansible

Jenkins

GitHub Actions

Kubernetes

Docker

Triton Inference Server

vLLM

Hugging Face TGI

Job description

let's build what's next - together!

Role Overview

We are seeking a ML Ops Technical Lead to spearhead our infrastructure, cost-optimisation, and deployment strategies. You will manage a talented team of DevOps engineers while remaining deeply technical and hands‑on. Your primary mission is to build, scale, and secure the foundational platforms for our machine learning (ML) and generative AI (GenAI) models while maintaining financial accountability.

Your Impact

• Team Leadership & Collaboration: Lead and manage a dedicated DevOps team, mentoring both junior and senior engineers while collaborating closely with Data Science and Engineering leaders.
• Infrastructure Strategy & Automation: Define the infrastructure roadmap for AI/ML workloads and automate provisioning across cloud environments using Infrastructure as Code (IaC).
• MLOps & LLMOps Engineering: Architect, maintain, and optimise robust MLOps/LLMOps pipelines and CI/CD frameworks for continuous model deployment.
• GenAI Production Deployment: Deploy Large Language Models (LLMs) into production environments, ensuring high availability, low latency, and optimal performance for GenAI & Budget Management: Establish FinOps frameworks to track, allocate, and forecast AI infrastructure spend, managing high-cost GPU/CPU cloud budgets.
• Resource Efficiency & Unit Economics: Implement auto-scaling, spot instances, and down‑scaling policies to eliminate waste, while providing full visibility into the unit economics of training and serving LLM models.
• Observability & Incident Response: Establish 24/7 incident response, telemetry, and observability metrics to monitor system performance, model drift, and data pipelines.
• Data Governance & Security: Enforce strict data governance, platform security, and compliance protocols across all AI/ML infrastructure.

Your Skills

• Extensive production experience deploying and supporting ML systems.
• Proven track record of leading engineering teams.
• Demonstrated experience with Generative AI and LLM deployment proven history of reducing cloud spend on large-scale AI clusters.
• Experience with tools like MLflow, Kubeflow, LangSmith, or Phoenix.
• Expertise in AWS/GCP/Azure cost tools, Kubecost, or Cloudability.
• Extensive background of Kubernetes (K8s), Docker, and service meshes.
• Expert knowledge of Terraform, Ansible, Jenkins, or GitHub Actions.
• Proficient in Python, Bash, or Go.
• Familiarity with Triton Inference Server, vLLM, or Hugging Face TGI.

Our Commitment to Diversity, Equity, Inclusion, and Belonging (DEIB)

We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and

At Anaplan

We are a team of innovators focused on optimizing business decision‑making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture. Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best‑in‑class Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small. Supported by operating principles of being strategy‑led, values‑based and disciplined in execution, you'll be inspired, connected, developed and rewarded here.