Top Engineering Jobs in Dublin

Leads the design, development, deployment, and evaluation of machine learning solutions for forecasting, recommendation, propensity modeling, fraud detection, and customer analytics. Defines experimentation frameworks, applies foundation-model embeddings, measures business impact, partners across functions, presents insights to leadership, and mentors data scientists and AI engineers. The role also contributes to hiring, capability development, and the organization’s technical direction.

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 for forecasting, recommendations, propensity modeling, fraud detection, risk modeling, and customer analytics. Defines experimentation frameworks, applies foundation-model embeddings, measures business impact, partners with cross-functional stakeholders, presents technical insights, and mentors data scientists and AI engineers. The role also contributes to hiring, capability development, and AI technical strategy.

Leads the design, 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 cross-functional stakeholders. Mentors data scientists and AI engineers, influences technical direction, supports hiring, and communicates technical recommendations to senior leadership.

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 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.

Leads the design, deployment, and evaluation of machine learning solutions, including predictive modeling, forecasting, recommendations, fraud detection, and customer analytics. Defines experimentation frameworks, applies foundation-model embeddings, measures business impact, partners with cross-functional stakeholders, and mentors data scientists and AI engineers. Contributes to hiring and the technical direction of Mastercard’s AI organization.

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.

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.

Provides senior individual-contributor technical leadership for complex, enterprise-scale software engineering initiatives. Designs and delivers secure, scalable, resilient systems; drives architecture, development, testing, deployment, automation, observability, and operational excellence. Partners with product, business, architecture, and engineering stakeholders, resolves complex production issues, reduces technical debt, improves engineering productivity, and influences technical strategy across teams and geographies.

Provides senior technical leadership as an individual contributor, designing and delivering secure, scalable, resilient enterprise software. Leads architecture, development, testing, deployment, operational readiness, automation, production troubleshooting, and technical standards across teams. Partners with product, business, architecture, and engineering stakeholders, influences technology roadmaps, reduces technical debt, mentors engineers, and drives engineering excellence across complex distributed systems.

Provides technical leadership as a senior individual contributor for complex, enterprise-scale software systems. Leads architecture, design, development, testing, deployment, operational readiness, and production issue resolution across distributed services and platforms. Partners with product, business, architecture, and engineering stakeholders to deliver secure, resilient, scalable solutions. Drives engineering standards, automation, CI/CD, observability, reliability, technical roadmaps, developer productivity, and technical debt reduction while mentoring engineers and influencing cross-functional initiatives.

Provides senior individual-contributor technical leadership for complex, enterprise-scale software systems. Leads architecture, design, development, testing, deployment, operational readiness, and production issue resolution across distributed platforms. Partners with product, business, architecture, and engineering teams to deliver secure, scalable, resilient solutions; drives automation, engineering standards, technical roadmaps, reliability, performance, and developer productivity. Influences cross-functional initiatives, mentors engineers, and contributes to architecture forums and engineering communities.

Leads enterprise-scale software engineering as a senior individual contributor and technical thought leader. Designs resilient, secure, scalable systems; drives architecture, development, testing, deployment, automation, observability, and operational excellence. Partners across product, business, architecture, and engineering teams, resolves complex production issues, reduces technical debt, improves engineering practices, and influences technology roadmaps. Mentors engineers and contributes to architecture forums, technical communities, and global engineering standards.

Provides expert individual-contributor leadership for enterprise-scale software engineering. Designs and delivers secure, resilient, scalable solutions across services and platforms; drives architecture, development, testing, deployment, automation, observability, and operational readiness. Partners with product, business, architecture, and engineering stakeholders, resolves complex production issues, reduces technical debt, advances engineering standards, and influences technology roadmaps. The role also mentors engineers and contributes to architecture forums, technical communities, and enterprise-wide initiatives.

Provides senior individual-contributor technical leadership for complex, enterprise-scale software systems. Designs scalable, secure, resilient architectures; leads development, testing, deployment, and operational readiness; resolves production and performance issues; drives automation, observability, engineering standards, and technical roadmaps. Partners with product, business, architecture, and engineering teams, influences cross-functional initiatives, reduces technical debt, mentors engineers, and advances software engineering practices across the organization.

Provides senior individual-contributor technical leadership for complex, enterprise-scale software systems. Leads architecture, design, development, testing, deployment, and operational excellence across distributed platforms. Partners with product, business, architecture, and engineering teams to translate strategic requirements into secure, scalable, resilient solutions. Drives automation, reliability, performance, technical-roadmap decisions, engineering standards, and technical-debt reduction while mentoring engineers and influencing cross-functional stakeholders.

Provides senior technical leadership as an individual contributor, designing and delivering secure, scalable, resilient enterprise software systems. Leads architecture, development, testing, deployment, operational readiness, automation, and production issue resolution. Partners with product, business, architecture, and engineering teams to shape technical strategy, improve engineering standards, reduce technical debt, and influence technology roadmaps across global teams.

Provides expert individual-contributor leadership for enterprise-scale software engineering. Designs and delivers secure, scalable, resilient distributed systems; drives architecture, development, testing, deployment, automation, observability, and operational excellence. Partners with product, business, architecture, and engineering teams to translate strategy into technical solutions, resolve complex production issues, reduce technical debt, and improve engineering practices. Influences technical roadmaps, mentors engineers, and promotes standards across teams and geographies.

Leads proactive site reliability engineering across application, infrastructure, and platform environments. Identifies failure patterns, improves observability and signal quality, leads incident investigations, performs root cause analysis, automates repetitive operations, reduces toil, and drives architectural and operational improvements. Partners across teams to improve resilience, reduce incident frequency and resolution time, mentor engineers, and apply data analysis and machine learning concepts to predictive reliability.

Leads proactive site reliability engineering across applications, infrastructure, and platforms. The role analyzes incidents and operational signals, improves observability, builds automation, reduces toil, strengthens system resilience, and prevents recurring failures. Responsibilities include incident leadership, root cause analysis, monitoring and alerting, data-driven reliability improvements, self-healing capabilities, cross-team collaboration, and mentoring engineers.

Leads proactive site reliability engineering by identifying system risks, improving observability, analyzing incidents, automating operational processes, and strengthening resilience. Partners with application, infrastructure, and platform teams to reduce incident frequency, detection and resolution times, operational toil, and systemic failure modes. The role also provides technical guidance, communicates data-driven insights, influences design decisions, and mentors engineers in reliability and systems thinking.