Senior Python Software Engineer (ML Platform)

TL;DR

Senior Python Software Engineer (ML Platform): Building foundational platforms that enable Machine Learning at scale across multiple countries with an accent on full ML lifecycle from experimentation to production. Focus on designing reliable systems, developing platform tools and shared services, and providing technical guidance to the team.

Location: Milan, Italy. Full flexibility – work from home, office, or hybrid. Work from anywhere for up to 30 days a year.

Company

Number one online motor insurance provider in Italy since 2015, expanding to UK and Spain, trusted by over 5 million drivers.

What you will do

• Contribute to design and evolution of reliable systems and shared capabilities supporting full ML lifecycle.
• Develop platform tools, shared services, and infrastructure powering ML at scale.
• Provide technical guidance, mentorship, and support within the ML Platform Domain team.
• Collaborate with product managers, data scientists, and ML engineers on experimentation, training, deployment, and monitoring.
• Stay updated with emerging technologies to keep the ML platform robust and future-proof.

Requirements

• 3+ years professional experience in software development with Python.
• Strong knowledge of software design principles and architecture.
• Proficiency in TDD and BDD for quality, readable, maintainable code.
• Practical knowledge of CI/CD, IaC, containerization technologies.
• Experience with messaging/streaming platforms (e.g., Kafka, RabbitMQ) and relational databases (e.g., MySQL, PostgreSQL).

Nice to have

• Experience with machine learning models and workflows in production.
• Proficiency in cloud-based systems (preferably AWS).
• Familiarity with Domain Driven Design.
• Experience with data and ML orchestration frameworks (e.g., Databricks, Airflow, Kubeflow).
• Experience in IaC (e.g., Terraform), container orchestration (e.g., Kubernetes), and service mesh.

Culture & Benefits

• Full flexibility: remote, office, hybrid, plus work from anywhere up to 30 days/year.
• Learning resources, mentorship, and tailored growth plans.
• Private healthcare, gym discounts, wellbeing programs, mental health support.