Top Machine Learning Jobs in Dublin

The Staff Machine Learning Engineer will design, develop, deploy, and maintain machine learning models, collaborating with teams to integrate solutions into the advertising technology platform.

The Account Executive will drive new business by selling SaaS solutions to Managed Service Providers in the Nordics, managing the full sales cycle, and achieving revenue targets.

The AI Business Analyst will optimize Dropbox's support ecosystem through AI readiness projects, data analysis, and cross-functional collaboration to enhance customer experience.

Lead Security Engineer responsible for implementing enterprise-level security solutions, threat modeling, and vulnerability testing while collaborating with stakeholders to ensure organizational security needs are met.

As a Senior Machine Learning Engineer, you'll develop and optimize ML systems, mentor junior engineers, and collaborate on scalable solutions that drive customer insights and engagement.

Develop and maintain risk detection systems, integrate machine learning into automation, improve code quality, and collaborate across teams.

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 Staff AI/ML Engineer leads complex AI/ML system architecture, technical strategy, and mentoring while driving innovation and business alignment across teams.

Lead the design and implementation of advanced machine learning models, collaborating with cross-functional teams to optimize services and enhance customer experiences.

The AI/ML Engineer will design, implement, and deploy machine learning models, collaborating with teams to integrate solutions and monitor performance.

The Manager of Channel Data Management leads a team of data analysts, develops business strategies, and ensures data governance and quality for improved business efficiency.

As a Data Science Manager, you will lead a team to develop innovative fraud detection solutions using advanced data science techniques. You will manage fraud risk strategies and ensure alignment with business objectives while collaborating with cross-functional teams.

Design, develop, and implement machine learning models and algorithms to enhance services at PayPal. Collaborate with teams, ensure data quality, and deploy models for better customer experiences.

Design and implement machine learning models and algorithms, collaborate with teams for integration, and monitor performance to enhance services.

The role involves designing and implementing machine learning solutions, managing projects from idea to deployment, and optimizing models using AWS and Docker.

The Fund Accounting Supervisor oversees NAV calculations, reconciliations, and guides a team of Fund Accountants while ensuring timely delivery and compliance.

The Director of Technical Recruiting will lead the recruitment team at Intercom, align recruiting with business goals, and develop strategies to attract top talent across technical domains like Machine Learning and Engineering.

The Marketing Innovation Director will lead AI-driven marketing strategies, pilot new tools, evaluate ROI, and enable cross-functional collaboration to enhance marketing efficiency and effectiveness.

The Investor Services Administrator supports the delivery of services to clients, processes investor transaction documents, maintains reports, and acts as a client contact.

As a Senior AI Product Manager, you'll lead AI product strategy and collaboration with AI teams, ensure customer-focused product development, and drive impactful outcomes in customer service AI solutions.

As a Staff Machine Learning Scientist, you'll design, implement, and test innovative ML solutions, collaborate cross-functionally, and contribute to product strategy at Zendesk.

Lead the Evisort AI team by creating product vision and strategy, collaborating with cross-functional teams, and enhancing AI-powered contract management solutions.

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

The role involves designing and testing AI solutions, managing full research projects, implementing ML applications, and collaborating with cross-functional teams to advance products.

As a Product Owner, you'll lead the delivery of machine learning features, create user-friendly interfaces, and collaborate with teams to enhance user outcomes.