Top Machine Learning Jobs in Italy

Design, prototype, evaluate, and productionize AI solutions for product authentication, fraud detection, and digital product experiences. Develop machine learning and computer vision systems using modern AI approaches, establish experimentation and evaluation practices, and deploy scalable, reliable production models. Collaborate with Product, Engineering, UX, Data, and external partners to define requirements, communicate trade-offs, and continuously improve AI capabilities.

Manage quantitative analytics consulting projects from hypothesis development through data collection, modeling, analysis, research, and insight generation. Oversee analysts, collaborate with clients and senior stakeholders, ensure high-quality deliverables, and coach team members. The role requires advanced analytics expertise, strong communication, Italian and English fluency, project leadership, and willingness to travel regularly.

Leads quantitative analytics consulting projects, overseeing hypothesis development, data collection, model creation, analysis, research, and client deliverables. Manages analysts, provides senior technical guidance, coaches team members, and ensures high-quality outcomes and team wellbeing. Requires strong quantitative, communication, and project-management skills, advanced analytics experience, and expertise in areas such as credit risk, financial modeling, and machine learning. The role involves regular client-site travel and collaboration in Italian and English.

Develop data-driven product capabilities for asset monitoring, predictive maintenance, forecasting, and optimization. Responsibilities include analyzing complex datasets, building statistical and machine learning models, developing reliable data pipelines, integrating solutions into products, evaluating performance, and communicating technical trade-offs across engineering, product, and domain teams.

Build Solidgate’s ML/AI function from the ground up, developing real-time payment routing models and production pipelines. Own the full ML lifecycle from experimentation and A/B testing through deployment, while solving modeling challenges involving large-scale transactional data. Partner with Product, Engineering, and Data Platform teams to deliver measurable improvements in conversion, approval rates, losses, and revenue.

Six-month paid internship in Milan focused on building and deploying AI solutions for financial-services clients. The role combines business analysis, AI and machine-learning engineering, software development, APIs, integrations, cloud deployment, monitoring, and client communication. Interns build prediction models, document-analysis and RAG pipelines, evaluate LLMs and agents, and deliver production applications using technologies such as Python, PyTorch, FastAPI, Azure, and Snowflake. The internship is intended to lead to a permanent Forward-Deployed AI Engineer role.

Develop end-to-end data science and machine learning solutions for customer analytics, personalization, recommendation systems, next-best-action, and NLP applications. Translate business needs into analytical approaches, support model deployment and monitoring, evaluate impact, and collaborate with data and engineering teams. The role also involves applying generative AI, mentoring junior scientists, prioritizing initiatives, and communicating findings to technical and business stakeholders.

Develop advanced analytics, machine learning models, forecasts, experiments, and data visualization products across the global retail sales journey. The role generates insights, identifies growth opportunities, supports sales strategies, and builds data products and dashboards. It collaborates with Marketing, CRM, IT, Reporting, Analytics, and external resources while presenting recommendations to stakeholders. The position requires quantitative expertise, programming and cloud data science skills, business-focused analysis, and strong communication.

Develop modern web applications for industrial automation systems as part of ABB’s R&D team. Build responsive frontend interfaces, integrate APIs and backend services, collaborate with architects and UX designers, and contribute to scalable full-stack solutions. Prototype AI-powered features using LLMs and Generative AI, while participating in design, implementation, testing, and deployment across the software development lifecycle.

Own the Mapping & Content product domain end to end, including strategy, prioritization, economics, and outcomes. Lead efforts to match hotel rooms and content across suppliers, languages, and formats with high accuracy and coverage. Partner closely with engineering and data science teams on entity resolution, search, matching, catalog, identity, recommendation, and content-quality problems. Identify high-value failures, make trade-offs between precision and coverage, and help build Nuitee’s product organization in a fast-moving environment.

Lead research on interactive avatar models and real-time generative AI video agents. Set research direction, advance multimodal perception and reaction generation, post-train diffusion models, build evaluation frameworks, define datasets, and guide research-to-production efforts. Mentor researchers and influence technical decisions across research, data, and engineering teams.

Graduate opportunities at Analog Devices in Catania, Italy, focused on electronic engineering and related semiconductor technology areas. Candidates may work in IC design, product applications, verification, embedded software, AI and machine learning, RF design, process engineering, testing, packaging, quality, reliability, or supply chain. The role offers access to advanced technology, learning opportunities, rotation programs, and collaboration on applications including automotive, healthcare, communications, and industrial automation. Positions begin recruiting from September 2026, with 10% travel required.

Graduate engineering opportunities at Analog Devices across IC design, product applications, verification, embedded software, AI and machine learning, process engineering, RF design, testing, quality, reliability, and supply chain. Candidates will collaborate on semiconductor technologies supporting automotive, healthcare, communications, energy, and automation applications. Positions begin recruiting from September 2026 and include learning opportunities, advanced facilities, and potential graduate rotation opportunities. The role requires approximately 10% travel.

Develop, validate, deploy, and maintain machine learning solutions for medical device manufacturing and CAD/CAM systems. Build deep learning and multimodal AI models using computer vision, 3D geometry, meshes, images, and structured data. Integrate models into production systems, conduct performance analysis, maintain ML workflows, and translate research into practical manufacturing applications while collaborating with engineering, manufacturing, and product teams.

Leads a multinational BDR organization of approximately 18 representatives through team leaders. Owns BDR strategy, playbook development, performance management, metrics, sales technology adoption, process optimization, and cross-functional alignment with Sales, Marketing, and senior leadership. The role combines strategic planning with hands-on operational leadership across European and US markets, driving scalable prospecting, qualification, conversion, and team development.

Own the full sales cycle for AI compute services across Europe, including GPU clusters, managed inference, and hybrid infrastructure. Build pipeline, qualify workloads, design solutions with architects, manage enterprise and public-sector sales, close complex technical deals, develop partner motions, and provide customer feedback to product teams. The role combines technical consultative selling, executive engagement, forecasting, RFPs, pilots, events, and revenue ownership, with frequent European travel from Milan.

Leads the design, development, deployment, and evaluation of machine learning, forecasting, recommendation, and analytical solutions. Partners with Product, Commercial, Engineering, and Data teams to solve business problems, define metrics, build scalable pipelines, and deliver measurable impact. Provides technical leadership and mentorship, promotes model development and governance best practices, and contributes to the data science roadmap.

Creates and manages global demand plans for optical products, monitors orders against forecasts, identifies supply chain risks, improves demand planning accuracy, and leads demand review meetings and complex planning projects. The role applies statistical and analytical forecasting methods, interprets large datasets, coordinates with markets and cross-functional stakeholders, and develops actions addressing excess inventory, obsolescence, lead-time, supply capability, and financial risks.

Define and prioritize high-impact energy analytics problems, establish success metrics, evaluate models and experiments, and ensure data-driven solutions deliver measurable business value. The role partners with stakeholders and data teams to frame uncertain problems, challenge assumptions, validate feasibility, and guide product direction without requiring hands-on coding.

Owns full-cycle recruiting for commercial, operational, and technical roles across global markets. Responsibilities include sourcing passive candidates, building pipelines for hard-to-fill positions, advising hiring leaders, coordinating interviews and offers, maintaining accurate Greenhouse data, and improving hiring processes through systems thinking, data, AI, and automation.

Build and manage data architecture, models, and high-volume ETL pipelines for financial crime risk analytics. Ensure data integrity, optimize SQL-accessible data relations, develop feature store capabilities, and design AI-powered workflows for data transformation and exploration. The role also leads cross-functional initiatives, translates technical insights into business actions, and supports governed data ownership within a federated Data Mesh strategy.

Designs data architecture, models, and ETL pipelines for financial crime analytics. Ensures data integrity, high-volume batch processing, and efficient SQL-based data relations. Develops AI-powered agentic workflows, feature store capabilities, and scalable distributed processing solutions. Leads cross-functional initiatives, translates business needs into data improvements, and supports risk decision-making through governed, accessible analytical data.

Develops CAD tools, flows, and methodologies for analog and digital circuit simulation and verification in NAND memory design. Collaborates with design, verification, layout teams, and EDA vendors; provides user training, documentation, and support. Implements AI-assisted and agentic automation workflows to improve design efficiency, quality, and pre-silicon outcomes.

Develop and operate production-grade machine learning systems involving LLMs, multimodal models, and deep learning. Responsibilities include building backend services and APIs, managing CI/CD, testing, deployment, monitoring, and optimizing data pipelines, GPU workloads, inference latency, and costs. The role collaborates with AI researchers to productionize prototypes, maintain scalable cloud or HPC deployments, and support open-source releases with robust documentation and packaging.

Develop, deploy, and maintain NLP, machine learning, LLM, generative AI, and RAG solutions. Build scalable models and MLOps pipelines with monitoring, governance, retraining, and CI/CD automation. Improve data quality, design AI architectures, conduct applied research, and support compliance with AI and data protection regulations. Collaborate with technical and non-technical stakeholders across complex organizations.