Top Machine Learning Jobs in Italy

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

Design scalable, secure architectures and reference blueprints for Generative AI, ML, and agentic workflows. Evaluate technical feasibility via POCs, define production requirements, optimize for cost, latency, and reliability, ensure AI governance/compliance, conduct model validation, and provide technical leadership and mentorship to align business, engineering, security, and infrastructure.

Design scalable, secure enterprise AI architectures and end-to-end pipelines (Generative AI, ML, agentic workflows). Drive technical feasibility, prototypes/POCs, model evaluation, cost/latency optimization, governance alignment, and mentor engineering teams to deliver production-grade AI solutions.

Remote role for ML/AI experts to assess AI-generated content, craft and answer advanced technical prompts, evaluate model responses for accuracy, relevance, and clarity, identify errors or hallucinations, and provide feedback to improve AI systems.

Join ION's Graduate Development Program as a Junior Software/AI Engineer to work on innovative projects in a collaborative team environment, focusing on various technologies including AI and Cloud.

The Customer Success Manager will onboard and support Portuguese utility accounts, ensuring effective use of digital twin technology and driving long-term partnerships and customer satisfaction.

The Lead AI and Computer Vision Specialist will design, implement, and optimize AI algorithms and develop computer vision systems for energy sector applications, collaborating across teams.

The IT Consultant will analyze finance requirements, design processes, lead automation initiatives, manage projects, and ensure testing excellence in SAP FI/CO solutions.

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.

Lead the QA engineering team, focusing on automating testing through AI, managing CI/CD pipelines, and ensuring product quality across systems.

The Customer Value Architect will engage with customers to ensure the effective adoption and value realization of the Neara platform, focusing on ROI metrics and customer relationships.

The Process Engineer will develop AI techniques for image analysis, design software for machine vision, and evaluate algorithms in the Photonics Industry.

Design, build, deploy, and monitor machine learning and deep learning models and production-ready ML services. Build data pipelines, work on neural and classical ML approaches, collaborate with engineers, scientists, and clients, and own end-to-end solutions across industries.

As a Senior AI/ML & Edge Computing Engineer, you will analyze customer needs, formalize specifications, conduct tests, and ensure system integration and performance.

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.

Lead end-to-end technical programs for ML infrastructure (inference, serving, efficiency, endpoints). Coordinate cross-functional teams, prioritize overlapping projects, manage timelines, budgets and scope, drive incident management and continuous improvement, and communicate status to engineering and leadership.

The Senior Applied ML Engineer will architect backend systems for a media intelligence platform, integrating AI/ML services, optimizing workflows, and overseeing large media processing pipelines.

Design, build, and operate ML platform systems to train, evaluate, deploy, and serve generative models. Improve reliability, scalability, observability, and cost-efficiency of GPU and cloud workloads. Build internal tools and agent-friendly workflows, collaborate with researchers and engineers, and drive platform architecture and automation.

Design, build and scale an automated translation-quality evaluation framework for localisation and dubbing. Implement production ML evaluation infrastructure, roll it out across teams, align metrics with product signals, and maintain/iterate systems in collaboration with R&D and cross-functional partners.

The Senior Data Scientist will investigate and incubate AI solutions, collaborate on product capabilities, and design scalable data infrastructure.

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.

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.

Lead ML infrastructure upgrades in hyperscale data centres across EMEA: manage contractors, schedules, logistics, mechanical/electrical/fibre coordination, commissioning (L3/L4 support), risk mitigation, reporting, and lessons learned throughout full project lifecycle.