Top AI & Machine Learning Jobs in Dublin

Build, deploy, and operate production-grade AI and agentic systems. Implement model serving, monitoring, evaluation and retraining. Partner with data scientists to productionize models, contribute to data preparation and feature engineering, and ensure solutions meet performance, security and governance standards while collaborating across platform and infrastructure teams.

Build and operate production-grade AI and agentic systems across the full lifecycle: design, model serving, pipelines, monitoring, retraining, and APIs. Partner with data scientists and platform teams to productionize models, ensure security, reliability, and governance, and participate in design reviews and knowledge sharing.

Build, deploy, and operate production-grade AI and agentic systems. Implement model serving, monitoring, evaluation, and retraining pipelines; partner with data scientists to productionize models; contribute to data preparation and feature engineering; ensure performance, reliability, security, and governance; and collaborate across platform, security, and infrastructure teams.

Senior individual contributor building and operating production-grade AI and agentic systems. Responsibilities include model serving, pipelines, monitoring, retraining, feature engineering, partnering with data scientists to productionize models, and ensuring performance, reliability, security and governance at scale.

Build, deploy, and operate production-grade AI and agentic systems. Implement model serving, monitoring, evaluation, and retraining pipelines. Partner with data scientists to productionize models, contribute to feature engineering and data preparation, participate in design reviews, and ensure performance, reliability, security, and governance across AI solutions.

Build, productionize and operate AI and agentic systems across the full lifecycle. Implement model serving, monitoring, evaluation, and retraining; develop ML services, pipelines and APIs; collaborate with data scientists, platform, security and infrastructure teams to deliver secure, scalable production AI solutions.

Build, deploy, and operate production-grade AI and agentic systems. Develop ML services, pipelines, model serving, monitoring, evaluation, and retraining. Partner with data scientists to productionize models, contribute to data preparation and feature engineering, participate in technical design reviews, and ensure solutions meet performance, security, reliability, and governance standards.

Lead engineering teams to build and operate cloud-native API platforms exposing foundation model capabilities. Own architecture, security, reliability, CI/CD, observability, and integrations with AI teams while managing delivery, hiring, and technical standards.

The Lead AI Engineer will develop advanced AI solutions, mentor a team, and oversee machine learning initiatives, ensuring data readiness and translating stakeholder needs into AI-driven solutions.

Lead development and deployment of scalable AI/ML solutions, translate stakeholder needs into technical designs, oversee data preparation and model performance, mentor engineers, and deliver productionized models including advanced transformer and generative AI applications.