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.

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.

Full-cycle Account Executive responsible for prospecting, presenting and closing enterprise and mid-market deals for AI-driven cyber threat defense. Work with SDRs, partners, and technical experts to demo solutions to CISOs, attend events/conferences, and manage the 360° sales process. Hybrid role based in Milan with strong onboarding and training support.

Drive AI adoption by identifying and prioritizing AI use cases, developing business cases, collaborating with data and tech teams to implement solutions, facilitating workshops, enabling stakeholder adoption, and ensuring responsible AI governance and value realization across the enterprise.

Own the full sales cycle for enterprise and mid-market accounts in Southern Italy (Naples area). Prospect, develop, and close business; work with partners and SDRs; present and demo Darktrace's AI-driven cyber threat defense solutions to CISOs and security stakeholders; attend events and conferences; collaborate with technical experts.

Ensure data quality and tracking across GA4 and BI platforms; configure reports and dashboards; analyze on-site behavioral data to generate UX/CRO recommendations; build customer journey maps; partner with marketing, tech and UX to run advanced analyses and attribution tests; support predictive modeling and monitor tracking anomalies; promote data literacy across teams.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

Build core components of a diagnostic and personalization platform: backend data pipelines, frontends, services for genomic data ingestion, ML model integration, APIs, and cloud infrastructure. Collaborate with product and ML teams, iterate on prototypes and MVPs, and make architectural decisions supporting scalability and reliability.

Lead product vision and discovery for a genomics-driven diagnostic and personalization platform. Validate hypotheses with patients, clinicians, and partners; translate research into product specs; coordinate labs and data providers; partner with engineers and researchers to build AI prototypes; shape data, regulatory, and GTM strategy while making core product and architectural decisions.

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.

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.

Own Go-To-Market for performance media buyers: build relationships, close and onboard clients, represent Kayzen at industry events, advise prospects on product strategy, and funnel market feedback across teams.

Lead professional services business development by positioning Workday as a platform for business transformation. Advise customers on AI, Extend, and Prism-driven solutions, align with Global SIs, run consultative discovery, negotiate and close services agreements, manage pipeline and forecasting, and build executive-level relationships to drive value-based outcomes.

The Head of Education & Community at Siena is responsible for developing product education, onboarding programs, community events, and market education resources. This role involves creating curricula, conducting workshops, and supporting sales with training and demos while leveraging AI for teaching efficiency.

Lead design and development of scalable front-end applications using React and TypeScript for an AI/ML-powered cloud-native SaaS platform. Collaborate with product, UX, backend, and ML teams to integrate APIs and real-time services, drive front-end architecture, optimize performance and accessibility, and contribute to testing and continuous improvement.

The role involves designing and developing model evaluation pipelines, user studies for subjective evaluations, and automated dashboards to report results, alongside leading the evaluation team and communicating with other teams to improve model performance.

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

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.

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 global marketing strategy and GTM to scale Aisle into a market leader. Own brand, PR, product positioning, full-funnel demand generation, ABM, marketing tech stack, RevOps, attribution, budget/agency management, and grow a multidisciplinary marketing team aligned to revenue targets.

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