Top Machine Learning Jobs in Dublin

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.

The Staff ML Engineer will design and optimize AI architectures integrating DSP pipelines with neural networks, collaborating across teams to implement AI solutions and prototype models for production.

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

Deliver compelling presentations and host discussions on emerging AI topics, engaging with senior leaders to translate AI concepts into strategic insights.

Lead the development and enhancement of LLM-powered products, collaborating with cross-functional teams to create innovative AI-driven solutions.

The Principal Product Manager leads product lifecycle management for brand safety solutions using ML/AI, ensuring effective collaboration and communication across teams.

Seeking a seasoned data scientist to advance methodologies for cardiovascular health assessment, collaborating with medical experts and algorithmic team.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

As a Senior Research Engineer, you will work on applying generative AI models for video production and improving model performance in avatar rendering, utilizing your expertise in post-training techniques.

Lead data-driven initiatives for fraud detection at PayPal by designing, implementing, and maintaining machine learning data pipelines and solutions, mentoring team members, and ensuring data quality.

As a Software Engineer, you'll enhance the user experience of ML tools, optimize workflows, and collaborate with product managers on ML infrastructure projects.

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

Lead the design and deployment of advanced ML/AI models for customer service, mentor teams, and drive research vision at Zendesk.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

As a Senior Research Engineer, you will manage data lifecycle for researchers, build a human-centric data lake, and enhance model performance through high-quality datasets in an AI-driven environment.

Design, develop, and implement machine learning models and algorithms, collaborating with teams to enhance services and drive business insights.

The Machine Learning Engineer will design data science solutions, apply advanced ML techniques for fraud detection, and collaborate with engineering teams to develop scalable AI workflows.

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

The Machine Learning Platform Engineer will manage cloud infrastructure, support AI researchers, and deploy models in production, focusing on MLOps and CI/CD practices.

The Staff Machine Learning Engineer will lead innovation in Conversational AI, architect AI solutions, mentor engineers, and manage technical projects, enhancing AI systems for global use.

Lead a team developing AI solutions focusing on computer vision and generative AI, integrating ML into production workflows, and ensuring ethical practices.

As an AI/ML Specialist Solutions Architect, you will design scalable AI solutions, manage AI deployments, and collaborate with clients to enhance customer satisfaction.

Design, build, and maintain machine learning systems to optimize restaurant operations. Collaborate with teams to ensure practical ML applications drive business results.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.