Top Machine Learning Jobs in Dublin

The Forward Deployed Engineering Build Manager leads cross-functional teams in delivering AI solutions, managing relationships, and ensuring strategic execution of builds.

Lead the applied AI strategy for Mastercard, overseeing AI solutions from design to deployment while mentoring a team and managing stakeholders.

The role involves leading the development of AI systems, managing ML services, collaborating with various teams, and ensuring compliance with performance and security standards.

The Senior Technical Product Manager leads enhancements to the Marketing Technology stack, collaborating with teams to implement AI/ML solutions, defining architecture, managing relationships, and driving product strategies for optimal customer engagement.

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 Site Reliability Engineer ensures system stability, improves observability, reduces risks, participates in incident response, and leads automation efforts. They analyze application behavior to prevent operational failures and mentor engineers on proactive troubleshooting and decision making.

As a Threat Analyst II, you will analyze adversary intrusions, create ML-based security detections, and address customer requests regarding detection efficacy, focusing on proactive and reactive detection engineering.

As a Senior Data Scientist, you will lead high-complexity projects, develop ML and NLP solutions, and collaborate across teams to drive business impact through statistical modeling and data analysis.

Investigate AML alerts and transaction monitoring cases, file SARs/STRs when appropriate, support law enforcement and partners, conduct screening and adverse media checks, improve detection models with policy and data teams, and train/mentor TM analysts.

Manage the integration of global flight supply partners, optimize product specifications, monitor metrics like price competitiveness and API latency, and collaborate with engineering teams to improve partner onboarding.

Lead business analysis activities, collaborate with stakeholders to document business requirements, manage technology solutions, and mentor junior analysts while implementing AI-driven initiatives.

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

The role focuses on developing and managing data-driven products for Investor Services, requiring collaboration with stakeholders and expertise in data science and business intelligence.

Summer internship within Salesforce Finance supporting controllership, revenue ops, treasury, compliance, procurement, audit or CFO office. Tasks include financial statement review, analytics, process improvement, automation, dashboarding, data integration, and contributing to ML/AI and advanced-analytics initiatives while presenting insights to stakeholders.

The Data Science Manager at Wayflyer leads a team of Data Science and ML Engineers, overseeing the ML lifecycle and collaborating on data-driven strategies to support business growth.

Lead the ML team by developing long-term strategy, driving innovation, and ensuring technical excellence while collaborating across departments and scaling the team.

The Engineering Manager will lead the AI Platform Team, overseeing infrastructure development, hands-on coding, and supporting ML teams while planning high-impact roadmaps and improving developer experience.

Lead a team focused on building and optimizing payment systems, collaborating across teams, managing engineering processes, and mentoring engineers at Stripe.

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 Principal Product Manager will lead AI-driven pricing and intelligence systems for travel sectors, managing model lifecycles and cross-functional projects to ensure financial accuracy and performance insights.

The VP of Tech Enablement leads technical capability and presales support, ensuring scalability and quality in cloud migration projects, primarily within the airline sector.

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.

Lead technical delivery with OpenAI partners across EMEA to design, deploy, and scale production-grade AI solutions. Provide hands-on prototyping, integration, architectural guidance, and governance while collaborating with partner teams and internal stakeholders to ensure reliability, security, and repeatable deployment patterns.