Top Machine Learning Jobs in Dublin

As a Machine Learning Operations Engineer, you will design data pipelines, build tools for data inspection, and visualize model quality while collaborating with various teams across time zones.

Lead GitLab's Custom Models team, manage high-performing engineers, and develop AI solutions tailored to customer needs while promoting innovation and collaboration.

As a Cloud Solution Specialist, you will design and implement AI cloud platforms, support customers in their adoption journey, and lead technical discussions to optimize cloud solutions.

As a Senior Backend Engineer, you will design, build, and maintain APIs and data stores while ensuring software quality. You will collaborate across teams and debug complex issues, focusing on performance and security.

The Enterprise Business Architect will drive strategic alignment across business and technology, translating organizational goals into architectural outcomes and advising senior stakeholders on enterprise transformations.

The Senior AI/ML Scientist leads AI and ML system development for dental data analysis, mentors teammates, and ensures best software practices.

The Senior Software Engineer will discuss and research features, write code and documentation, and engage with the community on platforms like GitHub and Discord. Strong Python skills and excellent communication are essential.

As a Senior ML Engineer, you will enhance the translation capabilities of Smartcat's platform using machine learning techniques like LLM tuning and inference optimization, while developing benchmarks and improving translation quality.

As a Staff Machine Learning Scientist, you will lead the development of ML solutions and innovative AI applications, collaborating with cross-functional teams to enhance product offerings and improve customer experiences.

As a Senior Backend Developer, you will design, develop, and maintain backend systems for AI solutions, manage data integration, and implement security measures.

The AI Prompt and Quality Engineer is responsible for monitoring AI Chatbot responses, resolving quality issues, tuning models, analyzing data, and improving processes.

As an Intermediate Machine Learning Engineer, you will develop evaluation techniques, manage large language models, and collaborate on AI feature implementations, ensuring product quality and performance.

Lead and mentor engineering teams to develop payment intelligence solutions, manage processes, and collaborate across functions to optimize product delivery.

The Firmware Engineer will design, create, and debug embedded systems code, engage in code reviews, and collaborate with teams to deliver features.

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

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

As a Senior Software Engineer, you will lead software development for AI and machine learning platforms, mentor team members, and collaborate with stakeholders to deliver high-performing solutions.

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.

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

Design and implement technical evaluators for LLM assessment, optimize dataset management, and collaboratively build scalable evaluation frameworks to ensure reliability of AI models.

The Senior Software Engineer will optimize ML platform performance, design integration patterns, and support ML teams while ensuring security and governance standards are met.

The role involves optimizing refining and petrochemical processes using machine learning, collaborating with teams to improve efficiencies and analyze data.

Lead the design and implementation of ML models for pricing strategies, demand forecasting, and optimization workflows. Collaborate with cross-functional partners and mentor junior engineers.

As a Mid-Level Machine Learning Engineer, you will develop ML models for pricing, refine forecasting algorithms, and optimize promotion strategies, collaborating across teams to enhance user experiences at PlayStation.

The role involves leading and developing machine learning models, collaborating with teams, assessing model performance, and influencing the ML strategy at PlayStation.