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.

Responsible for delivering AI and data science solutions, driving AI fluency, and collaborating across teams to enhance analytics capabilities and business strategies.

The Customer Success Engineer will act as a technical expert and advisor, ensuring customers adopt Deepgram's voice technologies effectively, manage customer relationships, conduct demos, and drive growth opportunities.

Join Welo Data as part of a global community focusing on data annotation and enhancing AI models with diverse linguistic expertise.

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.

The EMEA Sales Leader will drive the company's expansion in the region, establish sales pipelines, develop partnerships, and oversee the sales team.

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 Biomedical Machine Learning Innovation Scientist will lead AI applications in drug discovery, collaborate with research teams, ensure robust AI models, and promote innovation across the organization.

The Technical Director will lead a team of AI researchers, managing cross-functional projects that apply AI to drug discovery and biomedical research, ensuring robust AI models and facilitating collaborations across teams.

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

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

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.

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

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 enhance eCommerce personalization strategies and recommendation systems, collaborating with teams to leverage data and optimize user experiences.

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

The Director of Supply Chain Data Solutions will oversee data strategies to optimize supply chain processes, implement AI solutions, and ensure data governance, all while leading a team and collaborating with cross-functional partners.

The Staff Machine Learning Engineer will lead ML projects, mentor engineers, and develop impactful ML solutions while collaborating across teams.

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.

Develop and maintain cutting-edge LLM projects, lead NLP models, own ML systems, and enhance user experiences on Poe platform.

The Underwriting Quality Audit Manager ensures compliance with underwriting standards and oversees audits across portfolios, providing strategic feedback and improving operational practices through analysis and collaboration.

Develop and design learning paths and courses in various technical domains, authoring materials and assessments while collaborating with team members.

Lead the evolution and performance of the Amazon Connect-based contact center, focusing on cloud transitions, operational excellence, and customer experience enhancements.