Top Machine Learning Jobs in Dublin

Owns product strategy, roadmap, and feature definition for AI and data products. Partners with engineering, design, marketing, and leadership to prioritize initiatives, translate OKRs into delivery plans, define requirements, manage backlogs, and guide solution trade-offs. Uses customer research, operational data, and product analytics to drive product decisions, innovation, and measurable business value in a SaaS environment.

Leads the architecture, prototyping, engineering, and global deployment of immersive Mastercard Experience Centre demonstrations. Owns technical strategy, reusable frameworks, emerging technology integration, production delivery, operational support, and technical standards across AI, mixed reality, spatial computing, IoT, visualization, and interactive installations. Partners with product, engineering, creative, security, vendors, and executive stakeholders while translating customer and business needs into reliable, scalable experiences.

Leads the architecture, prototyping, engineering, and global deployment of immersive Mastercard Experience Centre technologies. Designs reusable frameworks for AI demonstrations, mixed reality, spatial computing, interactive installations, visualization, IoT environments, and production systems. Owns delivery from concept through deployment, establishes technical standards and support models, and leads cross-functional teams and external partners. Engages executives and customers to translate business needs into compelling, reliable technology experiences while mentoring teams and driving adoption of emerging technologies.

Leads the architecture, prototyping, engineering, and global deployment of immersive Mastercard Experience Centre technologies. Designs reusable frameworks for AI demonstrations, mixed reality, spatial computing, interactive installations, data visualization, and connected environments. Owns delivery from concept through production, establishes technical standards and operational models, and partners with engineering, product, creative, security, vendors, and executive stakeholders. The role also mentors teams and translates customer and business needs into reliable, scalable technology experiences.

Leads the architecture, prototyping, engineering, and global deployment of immersive Mastercard Experience Centre technologies. Designs reusable frameworks for AI demonstrations, mixed reality, spatial computing, interactive installations, visualization platforms, IoT environments, and executive showcases. Owns delivery from concept through production, establishes technical standards and support models, evaluates emerging technologies, and partners with product, engineering, creative, security, vendors, and senior stakeholders to create reliable customer-facing experiences.

Lead the global architecture, prototyping, engineering, and deployment of immersive Mastercard Experience Centre technologies. Develop scalable demonstrations involving AI, mixed reality, spatial computing, IoT, visualization, and interactive installations. Establish technical standards, reusable frameworks, deployment playbooks, and operational support models. Partner with product, engineering, creative, security, vendors, and executive stakeholders while mentoring teams and translating customer needs into reliable, compelling technology experiences.

Leads the architecture, prototyping, engineering, and global deployment of immersive Mastercard Experience Centre technologies. Develops interactive demonstrations involving AI, mixed reality, spatial computing, visualisation, IoT, holography, and digital installations. Establishes reusable technical frameworks, deployment standards, and operational support models while managing end-to-end technical delivery. Partners with product, engineering, creative, security, vendors, and executive stakeholders to create reliable customer-facing experiences and translate innovation concepts into scalable production environments.

Leads the architecture, prototyping, engineering, and global deployment of immersive Mastercard Experience Centre technologies. Designs reusable frameworks and production systems for AI, mixed reality, spatial computing, interactive installations, visualization, IoT, and executive demonstrations. Oversees technical strategy, delivery, integrations, operational support, and global rollout while partnering with product, engineering, creative, security, vendors, and senior stakeholders. Translates customer and business needs into scalable, reliable, and compelling technology experiences.

Leads the global architecture, prototyping, engineering, and deployment of immersive Mastercard Experience Centre technologies. Designs reusable frameworks for AI demonstrations, mixed reality, spatial computing, interactive installations, IoT environments, and visualization platforms. Owns delivery from concept through production, establishes technical standards and support models, and collaborates with product, engineering, creative, security, vendors, and executive stakeholders. Translates customer and business needs into reliable, scalable technology experiences while mentoring teams and driving emerging-technology adoption.

Leads the architecture, prototyping, engineering, and global deployment of immersive Mastercard Experience Centre technologies. Designs reusable frameworks and production systems for AI, mixed reality, spatial computing, visualization, IoT, and interactive installations. Partners with product, engineering, creative, security, vendors, and executive stakeholders to deliver reliable customer-facing demonstrations, establish technical standards, mentor teams, and translate innovation concepts into scalable experiences.

Leads EMEA and LATAM international tax accounting, quarterly US GAAP tax provisions, Pillar 2 calculations, tax compliance, audits, statutory reporting, and tax planning. Partners with legal, accounting, FP&A, and external advisors while driving AI automation, tax technology, process improvements, SOX controls, legislation research, and business-critical international tax projects.

Leads the design, development, deployment, and evaluation of machine learning solutions, including forecasting, recommendation, propensity, fraud, and customer analytics models. Defines experimentation frameworks, applies foundation-model embeddings, measures business impact, and partners with product, engineering, analytics, and business teams. Mentors data scientists and AI engineers, presents technical recommendations to leadership, supports hiring, and shapes the organization’s long-term technical direction.

Lead machine learning and data science initiatives from problem definition through production deployment and business impact measurement. Develop predictive models, recommendation systems, forecasting, fraud detection, and customer analytics solutions using modern machine learning and foundation-model techniques. Establish experimentation and evaluation frameworks, partner with cross-functional stakeholders, present technical recommendations, mentor data scientists and AI engineers, and shape the organization’s technical direction.

Leads analytical methodology and evaluation for AI-based healthcare and pharmaceutical workflows. Owns model selection, cohort and HCP segmentation, agent decision logic, and evaluation frameworks. Partners with engineering, data architecture, and governance teams to productionize rigorous analytical methods, identify new data and techniques, communicate insights, and mentor data science and engineering colleagues.

Leads data science methodology and advanced analytics for AI-enabled Medical Affairs workflows. Develops and evaluates statistical, machine-learning, NLP, and AI models using healthcare and real-world data; defines validation, monitoring, and decision frameworks; partners with engineering, governance, and business teams to operationalize solutions. Provides technical leadership, mentorship, documentation standards, and strategic guidance while ensuring privacy, compliance, responsible AI use, and clear communication of analytical findings.

Leads ad hoc and exploratory analyses for medical and business questions across a global Medical Insights organization. Prepares and validates datasets, translates ambiguous stakeholder needs into decision-ready findings, and maintains analytical documentation. Tests new data sources, methods, and AI-enabled approaches through proof-of-concept analyses to guide platform investments and roadmap decisions. Partners with business and product stakeholders while supporting compliant, reproducible use of regulated data.

Design, deliver, and continuously improve scalable production AI solutions using LLMs, RAG, agentic AI, machine learning, and document intelligence. Build cloud-native systems on Azure using software engineering, architecture, DevOps, and MLOps practices. Own AI platforms and models across deployment, monitoring, security, governance, and optimization. Lead technical initiatives, collaborate with product and business teams, mentor engineers, and translate business needs into measurable outcomes.

Lead and develop globally distributed Data and AI teams to deliver production Data/AI solutions. Drive talent development, operational excellence, stakeholder alignment, and responsible AI practices while partnering with Product and Engineering to set priorities, roadmaps, and delivery metrics.

Manages the Coordination of Benefits and Ideation & Growth portfolios, leading opportunity prioritization, forecasting, executive reporting, KPI tracking, value realization, and productivity planning. Drives modernization through AI, machine learning, automation, improved data integration, and scalable operating models. Partners with Operations, Finance, Product, Technology, Analytics, Data Science, and leadership teams to develop business cases, deploy innovation, monitor savings and revenue, and improve operational efficiency and growth outcomes.

Develop and ship production machine learning and statistical algorithms for MongoDB’s core server, query engine, and Atlas platform. The role focuses on resource scaling, release safety, monitoring, automated incident response, and query performance. Responsibilities include prototyping, testing, deployment, model feedback loops, metrics and dashboards, code reviews, and collaboration with engineering teams to deliver measurable business impact.

Lead creation of an AI-first engineering capability for database products: design reusable frameworks, ensure secure production code, guide AI-enabled delivery, set governance and guardrails, influence senior stakeholders, and mentor engineers to scale cross-product adoption.

Leads enterprise product security across Google Cloud, AWS, AI applications, and software development. Designs security solutions, develops threat-modeling frameworks, conducts code reviews and vulnerability testing, integrates secure practices into the SDLC, and creates security policies. Triages threats, assesses risks, manages corrective actions, communicates findings to technical and executive stakeholders, and validates AI-assisted security recommendations for security, resiliency, data protection, and auditability.

Lead a hands-on engineering team to design and deliver IoT and edge-to-cloud solutions that integrate AI/ML for real-time workplace insights. Architect resilient, secure pipelines, enforce data governance (FAIR), drive agentic AI adoption across the SDLC, mentor engineering talent, and split time between strategic leadership and active coding.

Lead product strategy and execution for Mastercards next-generation disputes platform. Define vision, prioritize roadmaps, partner with executives and engineering, embed AI and automation, drive cross-functional alignment, and scale platform capabilities to improve dispute resolution, customer outcomes, and operational efficiency.

Lead strategic product domains for Mastercard's next-generation disputes platform. Define vision, roadmaps, and measurable outcomes; drive AI-enabled automation and predictive decisioning; partner with execs, engineering, data science, and customers to scale platform capabilities and influence portfolio investments.