Top Machine Learning Jobs in Dublin

The Sr Machine Learning Scientist will develop and implement ML models and algorithms, collaborate with teams, and drive insights to enhance services.

Manage and mentor a team of ML scientists, driving collaboration with engineering and product leads to deliver impactful ML products while enhancing team productivity.

The Machine Learning Engineer will design and develop ML models for recommendations, collaborate with teams, and analyze data using advanced techniques.

The Senior Machine Learning Engineer will enhance the RAG platform by delivering AI solutions, collaborating with teams on product features, mentoring, and maintaining system stability.

As a Machine Learning Engineer at Yahoo, you will develop AI/ML capabilities to personalize user experiences and analyze mail data, working with cross-functional teams to enhance products.

The Staff Machine Learning Engineer will enhance Quora's recommendation systems, lead machine learning projects, and own end-to-end ML processes.

Design, develop, and implement machine learning models and algorithms, collaborate with teams to enhance AI/ML services, and ensure data quality.

End-to-end delivery of ML-powered services, involving research, prototyping, production, and operations. Collaborate on product requirements while maintaining high quality and operational excellence.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

Drive MLOps strategy, develop innovative software tools, manage integration of solutions, ensure governance of ML models, mentor team, and collaborate with stakeholders.

The role involves improving recommendation systems using machine learning, developing end-to-end ML systems, and collaborating with engineers.

The AI/ML Engineer will develop and implement ML systems for secure-code understanding, manage infrastructure for LLMs, optimize models, and conduct research.

Research and develop AI/ML models for handwriting recognition and related technologies, collaborating with a multidisciplinary team to deliver innovative features.

Lead the Applied AI Team in developing and deploying ML systems for clinical care, mentoring engineers, and driving initiatives across the AI stack.

Own and drive ML solutions for clinical care at scale, including LLM fine-tuning and production deployment, collaborating across teams.

Develop and implement production-ready AI systems, utilizing LLMs for conversation analysis, performance scoring, and multilingual support while collaborating across teams to innovate AI solutions.

The role involves improving machine learning ranking models, implementing algorithms, and taking full ownership of machine learning systems within Quora's product.

As a Senior Machine Learning Engineer, you'll design, build, and deploy ML and LLM systems to enhance decision-making and operations, collaborating with stakeholders and optimizing models.

As a Senior Data Engineer, you'll design scalable data pipelines, collaborate with engineers and product teams, and evolve the architecture to support growth in users and data.

Develop AI/ML solutions to enhance user personalization in Yahoo Mail, applying machine learning techniques and collaborating with teams for effective integration.

N-iX seeks a Data Engineer with MLOps experience to create scalable ML pipelines, deploy models, and contribute to best practices in data engineering and coding.

The Staff Machine Learning Scientist will lead ML projects, mentor engineers, define new features, conduct research, and collaborate with product teams to deliver impactful ML products.