Top Machine Learning Jobs in Dublin

Leads advanced data science initiatives for Payment Integrity, developing and deploying statistical, predictive, and AI/ML solutions. Responsibilities include stakeholder discovery, data preparation and validation, modeling, evaluation, production deployment, performance monitoring, and communicating findings to nontechnical audiences. The role focuses on healthcare data analytics, medical cost savings, detection, prioritization, and orchestration, using technologies such as Python, SQL, Spark, Git, generative AI, and LLMs.

Own the vision and roadmap for a foundational agentic AI capability. Define its reasoning, generation, decision models, taxonomy, and knowledge structures; translate ambiguous problems into product requirements; and partner with data science and ML teams on model behavior and inference design. The role requires representing progress to senior stakeholders and shaping AI-first product standards across the organization.

Support the roadmap and lifecycle management of Mastercard’s emerging data, analytics, and AI products. Partner with engineering, data science, design, CX, regional, sales, and marketing teams to deliver scalable B2B solutions. Develop sales enablement materials, train frontline teams, support customer engagements, establish product management disciplines, and make technical and commercial tradeoff decisions to improve functionality, feasibility, and time to market.

Leads the strategy, development, and scaling of data analytics, automation, machine learning, and applied AI capabilities. Owns the data operations roadmap, identifies high-value use cases, and takes solutions from proof of concept through production, adoption, and measurable impact. Oversees BI, reporting, data management, dashboards, data quality, and decision support while partnering with engineering, product, technology, and business teams. Builds and develops a high-performing team of data and analytics specialists.

Develop end-to-end data science and machine learning solutions using large, disparate datasets. Responsibilities include data analysis, feature engineering, model training, testing, deployment, serving, monitoring, pipeline development, and production model optimization. The role collaborates with business stakeholders, evaluates model and business performance, oversees implementation, and applies AI tooling to improve analytics development and data processes.

Develops end-to-end data science and machine learning solutions for customer-facing products. Responsibilities include data integration, pipeline development, feature engineering, model training, testing, deployment, monitoring, and optimization. The role uses large datasets, deep learning, AI tooling, cloud platforms, and business performance metrics to improve production models and analytics processes.

Develops end-to-end data science and machine learning solutions, including data pipelines, feature engineering, model training, testing, deployment, serving, and monitoring. Partners with business stakeholders to define requirements and evaluate model performance. Works with large, disparate datasets and cloud data platforms while applying deep learning and AI techniques to improve customer-facing products and business outcomes.

Develops end-to-end data science and machine learning solutions for customer-facing products. Responsibilities include data analysis, feature engineering, model training, testing, deployment, serving, monitoring, pipeline development, and production model evaluation. The role uses large, disparate datasets and cloud data platforms while partnering with business owners to improve data and model performance.

Develops end-to-end data science and machine learning solutions for customer-facing products. Responsibilities include integrating disparate data sources, building and optimizing data pipelines, performing feature engineering, training and evaluating AI/ML models, overseeing deployment, monitoring production performance, and driving continuous improvement using business metrics. The role also partners with business stakeholders and applies AI tooling to analytics and pipeline development.

Develops end-to-end data science and machine learning solutions, including feature engineering, model training, testing, deployment, monitoring, and optimization. Builds data pipelines from disparate sources and evaluates production models against business metrics. Collaborates with business owners on customer-facing products, uses cloud and data platforms, and applies AI tooling to improve analytics development and processes.

Develops end-to-end data science and machine learning solutions, including data pipelines, feature engineering, model training, testing, deployment, serving, and monitoring. Works with business stakeholders to define requirements and performance metrics, integrates disparate data sources, builds AI models, oversees implementation, evaluates production performance, and drives continuous improvement using modern AI tooling.

Leads hands-on development of AI and agentic systems for Mastercard’s consulting-focused AI platform. Designs scalable services, integrations, workflows, data pipelines, and reusable agent capabilities; integrates LLMs, AI services, orchestration platforms, knowledge bases, and vector search. Provides technical direction, reviews code, mentors engineers, coordinates vendors, supports migrations, and ensures secure, reliable, compliant, production-ready solutions.

Leads enterprise architecture for employee platforms, advising teams on technology selection, developing multi-year roadmaps, and guiding secure, high-quality cloud application development. Applies AI-enabled engineering patterns with human validation, auditability, resiliency, and security controls. Evaluates emerging technologies, represents the organization in technical forums, serves as a subject matter expert, and communicates architecture decisions to senior executives. The role also requires product ownership experience and may involve managing a small team.

Leads user experience, interaction, visual, and product experience design for data-driven digital products. Creates prototypes, MVPs, dashboards, applications, chatbots, and voice interfaces using human-centered design, Lean UX, and Design Thinking. Collaborates with customers, product managers, technology teams, marketing, and regional stakeholders to conduct research, iterate designs, maintain design patterns, and deliver accessible experiences across web, mobile, wearable, and IoT platforms.

Designs data-driven digital products across web, mobile, dashboards, chatbots, voice interfaces, and IoT. Leads UX research, personas, journeys, information architecture, rapid prototyping, visual design, Design Thinking workshops, and iterative user testing. Collaborates with product, technology, marketing, regional, and customer teams to create accessible, compliant, and engaging B2B and B2B2C experiences.

Leads user experience, interaction, visual, and product experience design for data-driven B2B and B2B2C products. Creates prototypes, MVPs, dashboards, web and mobile applications, chatbots, voice interfaces, and digital assistants using Lean UX and Design Thinking. Conducts workshops, develops personas and user journeys, designs information architectures and visual systems, incorporates user research, and collaborates with product, technology, marketing, regional, and customer teams to deliver accessible, usable experiences across global markets.

Lead UX, interaction, and visual design for data-driven B2B and B2B2C products, including dashboards, web and mobile applications, chatbots, voice interfaces, and digital assistants. Develop personas, journeys, architectures, prototypes, and visual systems through Lean UX and Design Thinking. Collaborate with customers, product managers, marketers, technology teams, and regional stakeholders to test and refine accessible, engaging experiences across multiple form factors.

Designs data-driven digital products, prototypes, dashboards, applications, chatbots, and voice interfaces using human-centered design, Lean UX, and Design Thinking. Leads user research workshops, develops personas and journeys, creates interaction and visual designs, and collaborates with product, technology, marketing, and regional teams. Establishes design patterns and cohesive experiences across web, mobile, wearable, and IoT platforms while incorporating AI, machine learning, responsive design, and iterative user testing.

Designs data-driven digital products, prototypes, dashboards, web and mobile applications, chatbots, voice interfaces, and other experiences using human-centered design. Leads Design Thinking workshops, develops personas and user journeys, creates visual and interaction designs, conducts iterative user testing, and collaborates with product, technology, marketing, and regional teams. Establishes design patterns and visual language while balancing user engagement, business goals, accessibility, and regulatory requirements.

Designs data-driven digital products, prototypes, dashboards, applications, chatbots, and voice interfaces using human-centered design, Lean UX, and Design Thinking. Leads workshops, develops personas and user journeys, creates interaction and visual designs, conducts iterative user testing, and contributes to design systems. Partners with product, technology, marketing, and regional teams to deliver accessible, responsive experiences across web, mobile, wearable, and IoT form factors.

Designs data-driven digital products, prototypes, dashboards, web and mobile applications, chatbots, voice interfaces, and digital assistants. Leads human-centered design, Design Thinking workshops, user research, interaction and visual design, information architecture, and iterative usability testing. Collaborates with product, technology, marketing, regional, and customer teams to create accessible experiences across multiple devices and form factors while supporting AI- and ML-enabled products.

Designs data-driven digital products, prototypes, dashboards, applications, chatbots, and voice interfaces using human-centered design, Lean UX, and Design Thinking. Creates interaction and visual designs across web, mobile, wearable, and IoT form factors; leads workshops, user research, prototyping, and iterative testing. Collaborates with product, technology, marketing, regional, and customer teams to deliver accessible, usable experiences that balance business goals with user engagement.

Designs data-driven digital products and experiences across web, mobile, IoT, dashboards, chatbots, and voice interfaces. Leads human-centered design, rapid prototyping, Design Thinking workshops, user research, visual and interaction design, and iterative testing. Collaborates with product, technology, marketing, regional, and customer teams to create accessible, usable, and compelling global experiences while contributing to design systems and exploring AI- and ML-enabled product opportunities.

Leads user experience, interaction, and visual design for data-driven B2B and B2B2C products. Creates prototypes, MVPs, dashboards, web and mobile applications, chatbots, voice interfaces, and digital assistants using human-centered design, Lean UX, and Design Thinking. Collaborates with customers, product managers, technology teams, marketing, and regional stakeholders to conduct research, iterate designs, establish design patterns, and deliver accessible, engaging experiences across multiple form factors.

Lead the design and development of AI solutions using machine learning, deep learning, NLP, and large language models. Research emerging AI technologies, build prototypes and products, develop solution architectures and pipelines, and identify opportunities for AI adoption. Collaborate across global teams, publish research, file patents, communicate technical direction, mentor junior data scientists, and lead project delivery.