Top AI & Machine Learning Jobs in Dublin

Build tooling, services, and reusable patterns to apply Generative and Agentic AI across Mastercard. Design and implement AI-enabled applications, evaluate models and frameworks, improve developer experience, and partner with stakeholders to prototype and scale production solutions.

Build tooling, services, and reusable patterns to apply generative and agentic AI across products. Design and implement AI-enabled applications and developer workflows, evaluate models and frameworks, develop integrations and platform capabilities, improve developer experience with automation, and partner with stakeholders to prototype, validate, and scale solutions.

Lead engineer role to build tooling, services, and reusable patterns for Agentic and Generative AI. Design and implement AI-enabled applications, evaluate models and frameworks, improve developer experience, and partner with stakeholders to deliver prototypes and production-ready solutions.

Build and ship Agentic AI tooling, services, and integrations that enable teams to prototype, validate, and scale AI-enabled products. Design orchestration, tool-calling, context management, and developer-facing workflows; evaluate models and frameworks for quality, cost, latency and reliability. Partner with product and engineering stakeholders to deliver reusable, production-grade patterns and improve developer experience through automation and platform thinking.

Lead a multidisciplinary engineering team to design, build and scale Quantum and AI/ML-enabled payment solutions. Define requirements, drive agile delivery, deploy Python/Jupyter-based systems in virtual environments (including Kubernetes), collaborate with data scientists and UX, mentor engineers, and champion innovation from R&D to market.

Build tooling, services, and reusable patterns to apply Generative and Agentic AI across Mastercard. Design and implement AI-enabled applications, evaluate models and frameworks, improve developer experience, and deliver prototypes to production in collaboration with product and engineering stakeholders.

Build platform tooling, services, and reusable patterns to apply generative and agentic AI across products. Design and implement AI-enabled applications, evaluate models and frameworks, improve developer experience through automation and CI/CD, and partner with stakeholders to prototype, validate, and scale AI solutions.

Build and ship Agentic AI tooling, services, and reusable patterns to enable AI-enabled applications and developer workflows. Design and implement AI orchestration, tool-calling, and context management, evaluate models and SDKs, improve developer experience via automation and CI/CD, and partner with product and business teams to prototype, validate, and scale production solutions.

Build and ship AI-enabled applications, tooling, and platform capabilities for agentic AI. Design reusable services, evaluate models and frameworks, improve developer workflows, and partner across product and engineering to prototype and scale AI solutions.

Build tooling, services, and reusable patterns to apply generative and agentic AI across products. Design, implement, and evaluate AI-enabled apps and developer workflows; improve developer experience via automation and platform capabilities; partner with stakeholders to deliver prototypes to production and share best practices across Mastercard.