Top Machine Learning Jobs in Dublin

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.

Lead delivery of AI platform and enablement initiatives from planning through production. Coordinate engineering, product, architecture, security, and platform teams; manage releases, dependencies, risks, milestones, and operational readiness; facilitate Agile ceremonies; establish delivery metrics and reporting; and improve engineering effectiveness, predictability, and team operating practices.

Lead delivery for Mastercard’s AI Foundations & Agents engineering team. Manage planning, release coordination, dependencies, risks, Agile ceremonies, delivery metrics, stakeholder communication, and operational readiness. Improve engineering processes, predictability, team effectiveness, and release practices while coordinating Product, Engineering, Architecture, Security, and platform teams supporting shared AI capabilities and agentic solutions.

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 delivery and execution for an AI Foundations and Agents engineering team. Manage planning, release coordination, dependencies, risks, Agile ceremonies, operational readiness, stakeholder communication, and delivery metrics. Improve engineering effectiveness, predictability, and team operating processes while coordinating Product, Engineering, Architecture, Security, and platform teams. Support scalable shared AI platforms and enablement capabilities for agentic solutions.

Lead delivery for an AI Foundations and Agents engineering team by managing planning, execution, releases, dependencies, risks, Agile ceremonies, operational readiness, and stakeholder communications. Improve engineering effectiveness, delivery predictability, reporting, and team operating practices while coordinating Product, Engineering, Architecture, Security, and platform teams. Support scalable shared AI capabilities and adoption across Mastercard’s Business & Market Insights organization.

Leads execution for an AI foundations and agents engineering team. Manages planning, delivery tracking, releases, dependencies, risks, Agile ceremonies, operational readiness, stakeholder coordination, and engineering process improvements. Partners with product, engineering, architecture, security, and platform teams to improve delivery predictability, team effectiveness, and adoption of shared AI capabilities.

Leads delivery for Mastercard’s AI Foundations and Agents engineering team. Drives planning, execution, release management, dependency and risk resolution, Agile ceremonies, operational readiness, stakeholder coordination, and engineering process improvement. Partners with product, engineering, architecture, security, and platform teams to improve delivery predictability, team effectiveness, and adoption of shared AI capabilities.

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.

Lead delivery for an AI Foundations and Agents engineering team by managing planning, releases, dependencies, risks, Agile ceremonies, operational readiness, stakeholder coordination, and execution metrics. Improve engineering processes, delivery predictability, release management, and team effectiveness while aligning product, engineering, architecture, security, and platform teams to deliver shared AI capabilities.

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, 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, 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.

Lead delivery for Mastercard’s AI Foundations & Agents engineering team. Responsibilities include managing software engineering programs, coordinating releases and dependencies, facilitating Agile ceremonies, tracking risks and delivery metrics, improving engineering processes, and communicating status to stakeholders. The role partners with product, engineering, architecture, security, and platform teams to deliver shared AI capabilities and enable agentic solutions across the organization.

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.

Lead execution for AI platform and agent initiatives, coordinating engineering, product, architecture, security, and platform teams. Own planning, release management, dependency and risk tracking, Agile ceremonies, delivery metrics, operational readiness, and stakeholder communications. Improve engineering processes, predictability, team effectiveness, and adoption of shared AI capabilities across Mastercard’s Business & Market Insights organization.

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.

Lead delivery for AI foundations and agent platforms by managing engineering programs from planning through production. Coordinate releases, dependencies, risks, Agile ceremonies, operational readiness, and stakeholder communications across product, engineering, architecture, security, and platform teams. Establish delivery metrics, improve engineering processes, increase predictability, and optimize team efficiency while enabling scalable generative AI capabilities.

Leads delivery for an AI Foundations and Agents engineering team, managing planning, execution, release coordination, dependencies, risks, Agile ceremonies, and operational readiness. Partners with product, engineering, architecture, security, and platform stakeholders to improve delivery predictability, engineering effectiveness, reporting, and team operating practices. Supports the development and adoption of shared AI platforms and services across business and market insights teams.

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.

Serve as Scrum Master for Data and Analytics teams by facilitating Agile ceremonies, coaching teams and stakeholders, managing risks and dependencies, improving delivery predictability, and driving continuous improvement. The role partners with Product Owners and business and technology leaders to align priorities, coordinate multi-team delivery, support governance processes, and promote Agile maturity across complex data, analytics, and technology initiatives.

Leads the design, development, deployment, and evaluation of machine learning solutions, including forecasting, recommendation, propensity, fraud, and customer analytics models. Defines experimentation frameworks, applies embeddings and foundation-model techniques, measures business impact, and partners with cross-functional stakeholders. Mentors data scientists and AI engineers, influences technical direction, supports hiring, and communicates technical recommendations to senior leadership.

Leads the design, development, deployment, and evaluation of machine learning solutions, including predictive models, recommendation systems, forecasting, embeddings, and foundation-model applications. Defines experimentation frameworks and success metrics, measures business impact, partners with cross-functional stakeholders, presents technical recommendations, and mentors data scientists and AI engineers. The role also contributes to hiring, capability development, and the organization’s long-term technical direction.