Top Machine Learning Jobs in Dublin

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.

Lead strategy and execution of technology, data, and AI for clinical development. Architect scalable platforms, integrate diverse data assets, industrialize AI/ML use cases, ensure regulatory compliance, oversee product roadmaps and vendor partnerships, and lead global cross-functional teams to accelerate evidence generation and clinical delivery.

Lead design and implementation of advanced data science and statistical models for clinical research. Manage and mentor a team of data scientists, collaborate with clinical/biostatistics/regulatory teams, ensure regulatory-compliant data management and analysis, drive ML and predictive analytics innovation, and communicate findings to stakeholders to support clinical development decisions.

The Product Manager for AI/ML Solutions will manage product lifecycle, work in Agile teams, and improve business processes using AI/ML technologies.

The Product Manager will drive AI solution strategies, prioritize initiatives, and oversee the delivery of AI/ML products while ensuring stakeholder alignment and adoption in a hybrid work environment.

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

The Investor Services Director oversees Investor Services and Transfer Agency processes, ensuring client satisfaction, compliance, and operational efficiency while leading a team to enhance service delivery.

The Senior Applied AI/ML Scientist will build and ship LLM-powered features, drive quality in evaluation, improve retrieval systems, and lead technical discussions with a focus on AI and engineering collaboration.

The AI Strategy Lead will advise on AI opportunities, promote adoption across the organization, and shape scalable AI solutions while engaging business and technical teams.

Lead phenomics strategy and execution to integrate human genetics and real‑world data for target identification, patient stratification, and translational evidence. Build and lead multidisciplinary teams, develop scalable phenotype curation and modeling pipelines, ensure scientific rigor and reproducibility, influence data and tooling roadmaps, drive cross‑functional decision support, champion responsible data/AI use, publish and engage externally, and hire and develop global talent.

Lead design, delivery, and continuous improvement of global S&OP capabilities across people, process, technology, and data. Drive cross-functional alignment, digital transformation using advanced planning tools, and change management. Own capability roadmaps, governance, KPIs, training, and stakeholder relationships to raise S&OP maturity and ensure regulatory compliance in a matrixed pharmaceutical environment.

The AI Lead Product Manager will define and own the product strategy for AI-powered health data, lead product teams, engage with stakeholders, and ensure compliance with regulations.

Lead a team to drive digital transformation and implement AI strategies in marketing, ensuring best practices and enhancing product effectiveness.

Lead escalation owner for complex, high-impact technical support cases on AI/ML products. Troubleshoot integrations and APIs, run live customer calls, manage bug lifecycle with Product and Engineering, mentor peers, improve team playbooks, and surface patterns to reduce repeat issues and improve operational efficiency.

Lead escalation handling for complex technical customer issues across AI/ML products. Own a high-volume support queue, troubleshoot integrations and APIs, manage bug lifecycle with Engineering and Product, lead customer calls, mentor peers, create documentation and surface patterns to improve product and operations.

The SVP of Product oversees Cubic's product portfolio strategy, focusing on market-led innovation in IoT and AI-driven services, while ensuring the alignment of product roadmap with corporate goals.

Lead and grow a cloud networking engineering team that builds and operates large-scale, Kubernetes-based traffic platforms. Drive architecture, reliability, security, automation, AI-assisted operations, observability, and developer self-service while partnering across SRE, security, product, and infrastructure teams.

The role involves designing and developing model evaluation pipelines, user studies for subjective evaluations, and automated dashboards to report results, alongside leading the evaluation team and communicating with other teams to improve model performance.

Work with traders, asset operators, and developers to analyze electricity market outcomes, improve trading and operational strategies, and drive customer success. Translate market workflows into product requirements, collaborate with engineering to enhance analytics, dashboards, and optimization models, and lead customer onboarding, implementation, and ongoing technical account management.

Lead the strategy for marketing data integration and application in a financial institution, driving superior business outcomes and serving as a strategic partner to marketing leaders. Oversee teams and work collaboratively across functions to innovate and enhance data strategies.

Own a from-scratch rebuild of Nory's mobile app using React Native and TypeScript, ensuring reliability on low-spec devices and poor connectivity. Set architecture, design system, and migration plan, ship an MVP, integrate AI agents to speed development, and grow the codebase into a platform for cross-functional teams while maintaining high UX and reliability standards.

Write, edit, localize and proofread English-language email and social media copy for Google Nordics/Benelux; create social-first assets, run A/B test variants, collaborate with designers, developers, analytics and audience teams, and maintain brand voice and campaign documentation.

The Applied Machine Learning Scientist will innovate and implement ML algorithms to enhance advertising performance, collaborate with engineers, and prototype in data-driven models.

Lead design and deployment of advanced signal-processing and machine-learning algorithms for power system monitoring and grid analytics. Architect Edge-to-Cloud solutions for embedded, resource-constrained systems, guide end-to-end development from modeling through production, influence product strategy, collaborate with cross-functional teams and external partners, and mentor engineers toward scalable grid intelligence products.

Sell Salesforce Agentforce and Data Cloud solutions by conducting technical discovery, qualifying opportunities, crafting POVs, and collaborating cross-functionally to align AI/ML-driven solutions with client architecture and business outcomes while consistently exceeding sales targets.