Top Tech Jobs & Startup Jobs in Dublin

Lead the development and deployment of machine learning solutions, including predictive models, recommendation systems, forecasting, fraud detection, and customer analytics. Define experimentation and evaluation frameworks, apply foundation-model embeddings, measure business impact, and guide projects from concept through production. Partner with cross-functional stakeholders, communicate technical insights to leadership, mentor data scientists and AI engineers, and contribute to hiring and the organization’s technical direction.

Leads development and deployment of machine learning solutions, defining modeling and experimentation strategies, mentoring teams, partnering cross-functionally, and delivering measurable business impact.

Leads the design, development, deployment, and evaluation of machine learning solutions for forecasting, recommendations, fraud detection, risk modeling, and customer analytics. Defines modeling and experimentation strategies, applies foundation-model embeddings, measures business impact, partners with cross-functional stakeholders, presents technical recommendations, and mentors data scientists and AI engineers. Contributes to hiring, capability development, and the organization’s long-term technical direction.

Leads the design, development, deployment, and evaluation of machine learning solutions, including predictive models, recommendation systems, forecasting, fraud detection, and customer analytics. Defines experimentation frameworks, applies embeddings and foundation-model techniques, measures business impact, partners with cross-functional stakeholders, and mentors data scientists and AI engineers. The role also contributes to hiring, technical strategy, and organizational capability development.

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

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 architecture and hands-on development of secure, scalable Open Banking services. Design microservices, contribute to code and architecture reviews, collaborate with product and business teams, mentor engineers, guide technical decisions, optimize systems, and promote enterprise architectural alignment. The role requires strong software engineering, cloud, security, compliance, and financial services expertise, along with experience leading technical initiatives and building high-performing teams.

Designs and implements Java application logic for Mastercard’s Decision Management platform, contributing to high-performance, scalable, secure applications that support real-time fraud prevention. Responsibilities include unit, integration, and functional testing; automated test development; Scrum participation; collaboration with teammates; and mentoring. The role requires strong Java, Spring, SQL, Oracle, testing, diagnostic, and problem-solving skills, with desirable experience in Docker, Kubernetes, Angular, and AI-assisted development tools.

Provides enterprise-scale software engineering leadership as a senior individual contributor. Leads architecture, design, development, testing, deployment, and operational excellence across secure, distributed systems. Translates business requirements into scalable solutions, drives technical standards and automation, resolves complex production issues, reduces technical debt, and influences engineering roadmaps. Partners across product, business, architecture, and engineering teams while mentoring engineers and promoting consistent engineering practices.

Lead the architecture and hands-on development of secure, scalable Open Banking services. Design systems, contribute to code and architecture reviews, guide technical initiatives, collaborate with product and business teams, mentor engineers, and drive enterprise architectural alignment. Apply expertise in Java, Spring Boot, Hibernate, microservices, cloud platforms, secure development, cryptography, compliance, and vulnerability management within financial services.