Top Machine Learning Jobs in Milan

As a Machine Learning Engineer, you will develop AI-driven solutions, manage data pipelines, and implement machine learning models for retail applications while collaborating with various teams.

As a Senior Machine Learning Engineer, you will design and deploy AI models, work on data pipelines, and enhance AI-driven retail solutions through collaboration with various teams.

As a Senior Machine Learning Engineer, assist in developing computer vision and deep learning algorithms, improve document information extraction, mentor team members, and drive project quality improvements.

Internship focuses on Machine Learning Engineering with tracks in AI for financial services and Computer Vision for pharma. Interns will build models, create APIs, and deploy applications while collaborating with experienced engineers.

The role involves building scalable ML models, mentoring engineers, translating business requirements into specs, and ensuring solutions meet performance constraints.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

The Machine Learning Engineer will develop high-performance algorithms for retail decision-making, optimizing solutions and supporting data scientists in applying these algorithms effectively.

Design and build Python-based AI applications, optimise performance and storage, implement CI/CD and testing, collaborate with clients and distributed teams, and support technical leads to deliver scalable, production-grade solutions.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

End-to-end delivery of ML-powered services, involving research, prototyping, production, and operations. Collaborate on product requirements while maintaining high quality and operational excellence.

Lead the Applied AI Team in developing and deploying ML systems for clinical care, mentoring engineers, and driving initiatives across the AI stack.

Own and drive ML solutions for clinical care at scale, including LLM fine-tuning and production deployment, collaborating across teams.

The AI/ML Engineer will develop and implement ML systems for secure-code understanding, manage infrastructure for LLMs, optimize models, and conduct research.