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.

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 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.

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

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.

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

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 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.

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

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 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.

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.

The Head of Data will define and implement the data strategy, build infrastructure, and lead a team to drive data-informed decisions and growth across the company.

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.

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 AI product strategy at Goodnotes, overseeing development across various AI initiatives and ensuring alignment with company vision.

As a Senior Product Engineer, you'll improve and maintain AI-powered products, collaborate with ML teams, and contribute to all software development phases.

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

Lead the definition and delivery of AI-driven features and solutions. Translate complex needs into clear requirements, prioritize use cases, and coordinate cross-functional teams to deliver effectively.

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.

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