Top Tech Jobs & Startup Jobs in Dublin

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.

Designs customer and product experiences for B2B and B2B2C data products, including dashboards, chatbots, web and mobile applications, and voice interfaces. Creates prototypes and MVPs using human-centered design, Lean UX, and Design Thinking. Develops personas, user journeys, wireframes, visual mockups, and interaction patterns while collaborating with product, technology, marketing, regional, and end-user teams.

Leads architecture, design, development, testing, and delivery of scalable experimentation and analytics software. Builds cloud-native services, APIs, data pipelines, and distributed systems using AWS, Azure, Databricks, and Spark. Drives modernization, technical strategy, architecture reviews, security, reliability, observability, and continuous delivery. Coordinates globally distributed teams, partners cross-functionally, mentors engineers, and ensures robust solutions align with enterprise standards.

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.

Leads applied AI and data science research within Mastercard Foundry, designing and developing machine learning, deep learning, NLP, and generative AI solutions. Builds prototypes, products, architectures, and pipelines; researches emerging frameworks; works with LLMs; contributes to patents and research publications; and identifies AI opportunities. The role also mentors junior scientists, collaborates globally on innovation initiatives, and may lead projects and small teams.

Lead Data Scientist developing high-performance AI solutions using machine learning, deep learning, NLP, and large language models. Responsibilities include researching emerging AI technologies, creating prototypes and production capabilities, designing architectures and pipelines, collaborating across global teams, publishing research, filing patents, mentoring junior scientists, and leading solution delivery. The role requires Python, cloud, SQL, MLOps, API development, and strong communication and innovation skills.

Lead the research, design, and development of high-performance AI solutions using machine learning, deep learning, NLP, and language models. Build prototypes, products, architectures, and pipelines; conduct applied research; publish papers and file patents; and identify AI opportunities. Collaborate across global teams, mentor junior data scientists, communicate technical direction, and lead projects through solution delivery while applying strong software engineering and cloud practices.

Leads applied AI and data science initiatives, designing and developing machine learning, deep learning, NLP, and LLM solutions. Builds prototypes, products, architectures, and pipelines; researches emerging AI technologies; mentors junior data scientists; collaborates globally on innovation and R&D; communicates technical direction; and contributes to research papers and patents.

Leads applied AI and data science research to develop high-performance solutions using machine learning, deep learning, NLP, and large language models. Designs architectures, prototypes, APIs, and production capabilities; researches emerging AI technologies; mentors junior scientists; collaborates globally on innovation initiatives; and contributes to research publications, patents, technical communications, and project delivery.

Lead Data Scientist developing high-performance AI solutions using machine learning, deep learning, NLP, and large language models. Responsibilities include researching emerging frameworks, creating prototypes and products, designing AI architectures and pipelines, developing APIs, collaborating across global teams, publishing research, filing patents, mentoring data scientists, and leading project delivery. The role requires strong Python, SQL, cloud, software engineering, and MLOps capabilities.