Top Machine Learning Jobs in Italy

Leads an international data science and AI team of up to eight members focused on commercial analytics and AI accelerators. Owns demand intake, prioritization, product strategy, model and data product delivery, and enterprise-scale ML/AI platform development. Partners with commercial, marketing, finance, and brand leaders to translate advanced analytics into business recommendations, revenue growth, and resource optimization. Requires executive communication, team-building, product management, and hands-on expertise in ML, LLMs, agentic workflows, cloud deployment, and pharma or healthcare analytics.

Leads Pfizer’s enterprise applied AI strategy, architecture, governance, operating model, and transformation efforts. Drives portfolio-level technical decisions, reusable capabilities, standards, and measurable business outcomes. Provides hands-on architecture and code review using modern AI and agent frameworks while leading engineers, contractors, and vendors. Oversees quality, security, performance, spending, and technical direction, mentors technical leaders, and evaluates emerging technologies and industry trends.

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.

Own post-sale customer lifecycle for Portuguese utility accounts: onboard, embed Neara into workflows (vegetation management, clearance analysis, CAPEX), run QBRs, monitor health scores, drive renewals and upsell, and align product roadmap with local market needs.

Lead and grow multiple small, high-output engineering teams focused on AI-powered vulnerability management. Stay hands-on with architecture and code reviews, drive hiring and career development, ensure technical excellence, and coordinate cross-team priorities to deliver customer and revenue impact.

Architect and build the AI layer for Neo4j’s Hume Maestro platform. Responsibilities include setting the AI technical roadmap, contributing hands-on to production code, designing scalable AI architectures, establishing model evaluation and deployment practices, integrating AI with front-end and platform systems, and collaborating with Product and Science stakeholders. The role may eventually evolve into leading and mentoring a dedicated AI engineering team.

Support client deployments of Emiri by triaging issues, identifying root causes, coordinating fixes, coaching commercial teams, configuring and QA’ing client models, testing releases, and surfacing product enhancements via user feedback.

Lead and scale a regional Market & Customer Intelligence program across EurAsia, turning market and customer insights into actionable, AI-enabled analytics and decision-ready narratives. Own rollout roadmaps, governance, intelligence cycles, stakeholder enablement, KPI tracking, and cross-functional adoption to embed the capability as a trusted enterprise asset.

The AI Engineer will build data pipelines and improve ML systems for reliability in production. Responsibilities include schema design, data infrastructure, and model evaluation, ensuring high-quality outputs and integration with product workflows.

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.

Lead the estimating product roadmap for an AI-powered construction SaaS: prioritize and ship MVPs, run rapid experiments, conduct user discovery with estimators, define success metrics, and iterate using data and user feedback.

Own full-cycle recruiting for technical roles, partner with hiring managers to define roles, source and close candidates, build scalable systems and pipelines, optimize hiring with data, and support a global, remote people team while acting as a culture ambassador.

The Data Scientist will design algorithms for insights, structure data, collaborate with machine learning engineers, and analyze datasets to improve workflow automation and product value.

Analyze large and varied customer and business data to build ML/statistical models (CLTV/propensity), prepare and integrate datasets, design analysis environments/databases, run hypothesis tests and data mining, generate actionable CRM insights, present findings to stakeholders, and support relationship-marketing initiatives.

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.

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.

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

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.

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

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

The Greenlake Specialist drives sales of aaS and Private Cloud solutions, collaborates with account teams, negotiates deals, and builds relationships with clients, particularly at the C-level, while leveraging extensive industry knowledge and cloud technologies expertise.

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.

Lead pre-sales engagements for Workday’s AI-driven HCM platform. Analyze prospect requirements, create tailored demonstrations, present the full HCM suite, explain trustworthy AI benefits, address objections, and collaborate with account executives and services teams to build transformation business cases. The role requires strong HCM expertise, enterprise AI understanding, excellent Italian and English communication, and the ability to manage complex sales cycles.