Top Machine Learning Jobs in Dublin

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.

As a Software Engineer III, you will design, develop, and troubleshoot software solutions, focusing on quality and best practices within an agile team.

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.

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

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.

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

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.

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

The Product Manager will lead product vision and ensure quality and innovation through collaborative work with engineering, UX, and marketing, while developing product roadmaps and managing a global team.

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

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.

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

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.

The Staff Machine Learning Scientist will define ML features, mentor engineers, research algorithms, and develop prototypes, focusing on customer value.

The Senior Machine Learning Scientist will identify ML opportunities, develop algorithms, analyze data, and collaborate to enhance customer experiences with AI solutions.

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.

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 Senior Product Owner will lead the product roadmap for a data analytics solution, collaborating with various stakeholders to ensure strategic direction, market analysis, and customer engagement, while managing vendor relationships and delivery planning.

The Director of AI Engineering will lead AI innovation, develop strategies, mentor teams, and oversee R&D initiatives to enhance product offerings and operational efficacy at Scorebuddy.

As a Technical Deployment Lead, you will oversee the technical delivery of complex systems to customers, ensuring timely configuration, adoption, and integration of AI solutions, while measuring success through tangible impacts and stakeholder satisfaction.

The Pricing Advisory professional will assist clients in enhancing pricing strategies through consultation, model development, implementation support, and training sessions, while managing stakeholder relationships and navigating challenges in pricing sophistication.