Top Machine Learning Jobs in Dublin

The AI/ML Senior Software Engineer will design and implement AI models, collaborate with stakeholders, and ensure AI solutions are secure and efficient.

As a software engineer on the ML Projects team, you will design, implement, and maintain features using machine learning, work with engineers and data scientists, and build robust systems.

Work with product managers to enhance ML workflows and tools. Drive improvements in DVC's entry point and optimize ML practices.

As a software engineer, you'll develop end-to-end data analytics and ML solutions, working with open-source tools and collaborating remotely with global teams.

Develop and apply reinforcement learning algorithms to improve campaign performance. Work with engineering for platform enhancement and monitor implementations closely. Collaborate on product strategy and contribute to research efforts.

The Machine Learning Engineer will design and develop an AI platform for scientific research, collaborating with teams to enhance automation and data analysis.

As a Machine Learning Technical Manager, you will lead a team in developing and deploying machine learning models, ensuring alignment with business goals, and integrating AI solutions across products and services.

Assist in pioneering research in AI and ML at Sahara AI, focusing on innovative model development and collaboration with tech leaders.

Develop, design, and maintain advanced NLP applications and LLM projects for Poe, contributing to a scalable machine learning system and user features.

The role involves building and maintaining large-scale distributed systems for ML development, collaborating with teams and resolving production issues.

As Engineering Manager, you will lead multiple teams in vegetation modeling and data ingestion to improve product delivery and team performance.

The AI/ML Specialist Solutions Architect designs AI solutions for clients, resolves technical challenges, and manages scalable AI deployments.

Join the ML Platform Team to develop a high-scale compute and data platform, supporting AI model training and infrastructure management. Collaborate with researchers and data scientists, focusing on ML and DevOps practices.