Machine Learning Engineer, AI Lab

Machine Learning Engineer, AI Lab – Permira

Role Overview

We are seeking an individual to join our AI Lab which sits within our Technology Value Creation Team. Our portfolio includes many of the world’s leading software and tech-enabled companies with landmark technology investments including Zendesk, Mimecast, Informatica, Squarespace, McAfee, and many more. This team will be a central entity that develops and deploys machine learning capabilities across Permira, collaborating with our teams and sectors. At Permira, AI is not just another IT initiative—it’s a fundamental shift in how we work, think, and operate. We are committed to embedding AI deeply into the fabric of our products and workflows—not merely as an add‑on, but as a reimaging of what our offerings can be in an AI‑native world. Our strategy focuses on identifying a few high-impact, needle-moving use cases where AI can drive measurable value. We strongly believe AI is a cultural shift and now a baseline competency across every business function. The AI Lab is designed to encourage our teams and portfolio companies to be truly AI-native and drive tangible impact with faster innovation velocity, streamlined revenue efficiency, and deliberate cost savings.

Key Responsibilities

• Collaborate closely with other members of the AI Lab, Value Creation Team (including data scientists) and IT
• Contribute to the design, development, and maintenance of our scalable, low-latency cloud ML Platform
• Deploy ML models to production in partnership with our Value Creation Team
• Promote and implement best practices and standards in MLOps
• Document MLOps workflows and architecture, ensuring compatibility with other systems at Permira, including compliance with security standards (e.g., threat modeling)

What We’re Looking For

• 2-5 years of proven experience as an ML Engineer (or similar role), including developing and maintaining ML Platforms and Model Pipelines in production environments
• Advanced software engineering skills with a passion for coding in Python
• Familiarity with at least one major cloud ML platform
• Experience with containers and container orchestration, such as Docker, Kubernetes, and Kubeflow
• Proficiency with Terraform or similar infrastructure-as-code (IaC) tools
• Comfort with using a Linux shell and Git for version control
• Knowledge of the Model Development Lifecycle and common DS libraries, such as scikit-learn, pandas, shap, feature-engine, xgboost (or lgbm), and MLflow
• Attention to detail with the ability to quickly shift priorities when required
• Strong presentation skills and the ability to communicate effectively with diverse audiences
• Enjoy working collaboratively in a cross-functional and distributed team environment
• Comfort with Agile methodologies, such as Scrum, Kanban, or similar frameworks
• A strong cultural fit with Permira—team-first, intellectually curious, low-ego, and entrepreneurial

Nice to Have

• Experience with JavaScript and/or TypeScript
• Experience with LLMOps, i.e. deploying and managing GenAI solutions in production
• Experience with (Py)Spark and managing Spark clusters
• Terraform Developer Certification
• M.Sc. in Machine Learning, Computer Science, or Computer Engineering

Location

Milan, Lombardy, Italy

Employment Type

Full-time

Seniority Level

Mid-Senior level

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