Top Machine Learning Jobs in Dublin

Lead a team of AI engineers, develop AI models, oversee project lifecycles, and integrate advanced AI techniques to solve complex challenges.

Lead the Machine Learning team, conducting exploratory analyses, researching algorithms, and developing ML products while mentoring engineers and collaborating with product teams.

Lead the design and implementation of AI solutions and localization strategies at Workday, mentoring engineers and collaborating with teams to enhance product offerings.

Lead a team to develop platform services for transportation products, ensuring high-quality coding practices, mentoring, and ownership throughout the SDLC while integrating innovative technologies.

Lead the development of digital co-processors for AI accelerators, optimizing hardware architecture for performance and power efficiency through cross-functional collaboration.

The Senior Machine Learning Scientist will define new ML features, research algorithms, develop prototypes, and collaborate with teams to enhance customer experiences through machine learning.

The Senior Backend Engineer will develop backend services, collaborate with cross-functional teams, architect applications, and drive technology innovation in AI interactions.

The Data Engineering Lead will develop data pipelines and IT infrastructure to enhance decision-making in clinical trials, ensure quality data asset delivery, and lead data engineering projects by collaborating across teams while focusing on compliance and innovation.

Develop and maintain AI and machine learning algorithms, create data pipelines, collaborate with cross-functional teams, and deliver robust product features.

Lead the development of innovative Generative AI solutions, educate clients on AI adoption, and build high-performing teams while driving business transformation.

Lead the design, development, and deployment of AI/LLM solutions for security applications, mentoring junior engineers and collaborating closely with researchers.

As a Senior Machine Learning Engineer, you will develop and maintain advanced NLP applications for Poe, oversee machine learning systems, and collaborate on innovative AI-driven features.

The Machine Learning Engineer will optimize content distribution systems, improve existing ML systems, and collaborate on scalable models for Quora's recommender systems.

The AI Engineer will develop and deploy LLM services for a SaaS platform, optimizing risk assessment and improving customer workflows in the insurance industry.

The Senior Full Stack Engineer will develop applications using AI and cloud technology, manage databases, and collaborate on impactful projects.

Develop and implement AI/ML models to solve business problems, ensuring production deployment, reliability, and data analysis. Collaborate with teams and manage project blockers.

The ML Ops Engineer will set up and support ML bot inference in live environments, implement CI/CD for ML solutions, and enhance ML inference logic.