Top Machine Learning Jobs in Milan

The Generative AI Engineer will define strategies for Generative AI, design and build innovative products, and mentor engineers, focusing on AI transformation for financial services clients.

The Account Executive will drive new business by selling SaaS solutions to Managed Service Providers in the Nordics, managing the full sales cycle, and achieving revenue targets.

Drive digital transformation in finance by analyzing processes, designing automation solutions, and collaborating with IT on AI implementations.

This program involves developing and deploying AI models, collaborating with teams, and working on high-impact products in a structured training program.

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

The AI Solutions Architect is responsible for designing scalable AI architectures, conducting feasibility assessments, and guiding AI projects from concept to production, ensuring alignment with business and governance needs.

As a Fraud Data Analyst, you will design real-time fraud strategies, develop rules to combat fraud, optimize decision-making, and collaborate with teams to enhance user experience and report performance metrics.

The Fraud Data Analyst designs real-time fraud detection strategies, optimizes decision-making tools, analyzes payment fraud, and presents data-driven insights to leadership.

Design and implement AI solutions, collaborate with clients to understand requirements, lead development of machine learning models, and support presales activities.

The Junior Research & Data/AI Engineer will support applied research, develop models, maintain data pipelines, and collaborate with teams on financial products.

The AI Senior Business Consultant leads AI-driven strategies in the Financial Services sector, translating business challenges into AI solutions and guiding organizational transformations through insights and collaboration with stakeholders.

The Principal Solutions Consultant will drive technical sales processes, work with enterprise customers, and deliver tailored demos while collaborating with internal teams to optimize business planning using AI solutions.

The Pricing Advisory professional will assist clients in enhancing pricing strategies through consultation, model development, implementation support, and training sessions, while managing stakeholder relationships and navigating challenges in pricing sophistication.

As an AI Senior Business Consultant, you will leverage AI technologies to drive strategic business opportunities, analyzing trends, and facilitating AI-driven transformations across multiple industries.

As an AI Business Consultant, you will drive AI adoption strategies, analyse industry trends, and facilitate transformation initiatives for clients across various sectors.

Kelkoo Group seeks motivated individuals for spontaneous applications in areas like Data, Finance, Marketing, Operations, and Sales. Join a multicultural team and shape opportunities in a dynamic environment.

Corti is seeking passionate individuals to join their talent community, shaping the future of healthcare through AI technologies. Opportunities include roles in AI technology, machine learning, and software development, focusing on reducing errors and improving patient outcomes.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

As a Senior Machine Learning Engineer, you will develop and scale customer-facing AI models, ensuring quality integration with business solutions, and mentoring peers.

Design and build simulation environments for robotics research, implement RL algorithms, and evaluate policies for stability and transfer potential. Collaborate with teams and document results.

The Senior Machine Learning Engineer will design, build, deploy AI solutions, collaborating with cross-functional teams and ensuring maintainability and scalability of ML systems.

As a Machine Learning Engineer, you will architect, train, and deploy ML systems, drive experimentation, and collaborate with product, data, and engineering teams to deliver impactful solutions.

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.

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

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