Top Machine Learning Jobs in Italy

Intern will develop AI-enabled tools for NAND memory cell characterization, including waveform ingestion, preprocessing, feature extraction, reference comparison, reporting, and human-in-the-loop validation. The role involves collaborating with cell engineers, testing and refining tools, documenting modules, and applying AI to improve analysis workflows. Candidates should understand AI/ML fundamentals, Python or C/C++, signal processing, and time-domain waveforms. Familiarity with NAND operations, LLM orchestration, waveform libraries, and oscilloscope formats is preferred.

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.

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.

Develop machine learning and analytics solutions using large-scale datasets. Responsibilities include feature engineering, predictive modeling, workflow optimization, customer implementations, production deployments, stakeholder collaboration, technical training, and resolving data-related challenges. The role requires Python, PySpark, machine learning pipelines, MLflow or Airflow, statistical modeling, and strong communication skills, with preferred experience in fraud detection, risk analytics, compliance, cloud environments, and model monitoring.

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.

Design, train, evaluate, and optimize machine learning, computer vision, and deep learning models for edge devices and cloud backends. Prepare and validate large-scale datasets, optimize models for hardware constraints, write production-quality software, integrate models with embedded and cloud systems, monitor production performance, and research emerging AI technologies.

Develop demand forecasts, lead monthly S&OP, optimize inventory and safety stock, align supply with manufacturing and logistics partners, and support launches and lifecycle management. Analyze market trends, forecast accuracy, KPIs, and IQV performance using SAP, Excel, AI forecasting tools, and business intelligence platforms. Collaborate cross-functionally with Sales, Marketing, Finance, and Logistics to improve service levels and working capital efficiency.

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.

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.

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.

Leads full-cycle recruitment for senior technical and engineering roles across global teams. Partners with hiring managers and engineering stakeholders, develops sourcing strategies using LinkedIn, GitHub, networks, and events, evaluates technical talent, provides market intelligence, manages high-volume requisitions, supports employer branding, and maintains recruiting workflows in Workday. The role also advises on workforce planning and delivers strong candidate and hiring-manager experiences.

Develop bespoke full-stack software and workflow automation tools for the aerodynamics department and Formula 1 car performance. Responsibilities include gathering requirements, designing systems, building and deploying reliable software, optimizing performance, improving observability and test coverage, resolving issues, and applying modern engineering practices. The role requires collaboration with aerodynamics stakeholders, independent problem-solving, continuous improvement, flexibility for irregular hours, extensive travel, and participation in security vetting.

Own the Vault product roadmap and lifecycle for a sports media asset platform. Lead discovery with customers, define solutions for content ingest, storage, integrations, AI enrichment, metadata, search, rights, and asset monetization. Partner closely with engineering, sales, and customer success, attend customer events, and prioritize product bets that help sports organizations maximize the value of extensive media archives.

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.

Supports customer-facing AI initiatives by helping discover use cases, build prototypes, configure virtual agents and conversational workflows, test solutions, and create technical demonstrations and documentation. The role collaborates with senior architects, sales, product, and engineering teams while developing expertise in enterprise AI, LLMs, RAG, APIs, cloud platforms, and customer experience technologies. It also involves customer workshops, technical presentations, sandbox engagements, and internal enablement.

Lead data strategy, architecture, governance, quality, compliance, and technology adoption. Translate stakeholder needs into scalable data initiatives, support advanced analytics and AI/ML, promote data literacy, and guide cross-functional teams toward data-driven decision-making.

Build and maintain Ergodic AI’s AI platform across back-end and front-end systems. The role involves developing with Python web frameworks and JavaScript/TypeScript, integrating with client technology stacks and workflows, applying AI, ML, and LLM concepts, and contributing to DevOps, cloud deployment, testing, and infrastructure practices. As an early-stage hire, the engineer will help shape the product and solve complex data and AI challenges.

Develop AI-augmented blockchain risk and threat intelligence systems, including autonomous monitoring and investigation workflows. Lead forensic investigations into crypto theft, fraud, and market manipulation. Research post-quantum cryptography and quantum threats to blockchain security, evaluate migration paths, and collaborate with internal teams, external stakeholders, and academic institutions to deploy emerging security tools.

Supports Account Executives throughout the sales cycle by leading technical discovery, solution design, demonstrations, workshops, proofs of concept, evaluations, and technical validation. Translates engineering, simulation, HPC, AI, and infrastructure requirements into Rescale recommendations, documents opportunities in Salesforce, resolves technical risks, supports negotiations, and ensures effective post-sale handoffs across Northern Europe.