Top Machine Learning Jobs in Dublin

The role involves leading compliance assessments for crypto derivatives, managing risk, collaborating with stakeholders, and ensuring regulatory compliance while improving security processes.

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 Principal Account Executive, responsible for expanding revenue, building relationships with French business customers, and managing the full sales cycle. Collaborate with the account team to develop strategies and drive customer success in SaaS sales.

As a Principal Engineer, you will develop scalable systems for threat detection, lead product strategy, and collaborate with cross-functional teams.

Develop high-quality software solutions using Java and JavaScript. Collaborate with product owners and teams to enhance existing products and implement new features, focused on AI and user experience.

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.

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 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.

Design and develop intelligent mobile QA automation frameworks using AI enhancements, collaborate with teams, and optimize testing strategies.

The Director of Data Science Products will lead the development of open-source tools for clinical trial reporting, manage product lifecycles, and foster agile methodologies among product teams.

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.

The Portfolio Accounting Supervisor is responsible for overseeing reconciliations, mentoring accountants, and ensuring compliance and accuracy in fund operations.

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

The Senior Machine Learning Scientist will design and implement AI solutions, manage research projects, and collaborate with cross-functional teams to improve the AI Agent product at Zendesk.

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 Head of Master Data Management oversees master data governance and quality, leads MDM initiatives, and implements data standards while driving AI integration across the organization.

The Fraud Risk Oversight Lead will provide oversight in fraud risk management, develop fraud risk methodologies, design monitoring processes, and engage with stakeholders to enhance fraud prevention strategies.

The role involves leading customer experience strategy, optimizing customer journeys, managing analytics, and driving measurable business impact through cross-functional collaboration.

The Staff Machine Learning Scientist will lead product vision through innovation, overseeing the R&D lifecycle, mentoring junior team members, maintaining research standards, and advancing AI technology in conversational systems.

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.

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 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.