At a Glance
- Tasks: Lead a talented DevOps team to optimise ML infrastructure and deployment strategies.
- Company: Join Anaplan, a leader in AI-infused business decision-making.
- Benefits: Enjoy a diverse culture, competitive salary, and opportunities for growth.
- Other info: Embrace diversity and bring your authentic self to work every day.
- Why this job: Make a real impact on cutting-edge AI projects with top global companies.
- Qualifications: Experience in ML systems, team leadership, and cloud cost management required.
The predicted salary is between 63000 - 77000 £ per year.
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. 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 platform.
Our 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. Everything that makes you unique is welcome; join us and 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 applications.
- FinOps & 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 patterns.
- A 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 working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
ML Ops Lead in London employer: Anaplan Inc
Anaplan Inc is an exceptional employer, offering a dynamic work culture that prioritises employee growth and development. As a Customer Success Director in the UKI, you will benefit from a collaborative environment that encourages innovation and provides opportunities for meaningful impact on customer experiences. With a focus on driving adoption and growth, Anaplan supports its employees with comprehensive training and travel opportunities to connect with clients across the region.
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We think you need these skills to ace ML Ops Lead in London
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