Top AI Jobs in Dublin

The Site Reliability Engineer will provision and manage Kubernetes clusters, build automation tools, debug customer issues, and improve infrastructure reliability.

The IT Business Analyst supports the AI Programme by facilitating adoption, conducting analysis, and providing guidance on AI technologies in a legal context.

As an AI Product Manager at n8n, you'll develop AI-driven product experiences, coordinate with various teams, and innovate through user-centric design, focusing on AI trust and building.

The Senior AI Compute Infrastructure Engineer will manage and optimize GPU and accelerator clusters for AI workloads, collaborate with teams, and ensure reliable performance and cost efficiency.

The AI Solutions Manager drives strategy and commercialization of AI solutions, focusing on scalable solutions, partnerships, and sales enablement.

Lead product development in the industrial sector focusing on IoT, edge computing, and AI applications. Oversee product lifecycle, conduct market research, and collaborate with cross-functional teams.

The Lead AI Engineer will lead the AI Ops team, developing automations and AI agents to improve internal operations and customer service in a fintech setting, while managing engineers and prioritizing tasks effectively.

As an AI-native growth hacker, you will implement a growth strategy, focusing on a specific growth wedge, leveraging AI tools, and measuring performance to scale successfully.

Responsible for delivering AI-powered product features, managing AI roadmap alignment, and collaborating with data scientists and UX teams. Requires strong AI knowledge and over 5 years of Product Management experience.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

The AI-First Graphic Designer will create visual assets for digital platforms, maintain brand consistency, and collaborate on marketing campaigns. The role requires managing multiple design requests in a fast-paced environment.

The Technical AI Product Manager at CoinMarketCap will prototype AI solutions, identify user pain points, and collaborate with Engineering to validate and scale AI products in the crypto space.

As a Senior AI Engineer, you will develop AI-powered features, integrating LLM APIs to enhance user workflows while collaborating with teams to ensure reliability and scalability.

The AI Architect will lead technical execution of AI strategies, design autonomous agent systems, and guide clients in deploying Generative AI solutions.

The Product Analyst will identify growth opportunities, evaluate product changes through A/B testing, build dashboards, and communicate insights for data-driven decisions.

Lead the LLM team to architect, train, and deploy models for a personalized AI companionship platform. Involves hands-on coding and complex moderation strategies for uncensored AI content.

The Mid/Senior AI Cinematic Video Editor will create narrative-driven video content using AI tools, manage production workflows, and ensure visual cohesion.

Develop and optimize AI pipelines for workflow intelligence, experiment with models, and collaborate to integrate AI systems into workflows.

The Principal Engineer will lead the design and delivery of core platform capabilities, focusing on scalable systems, AI application, and mentoring engineers while driving architectural decisions and improving operational systems.

The AI Engineer will build data pipelines and improve ML systems for reliability in production. Responsibilities include schema design, data infrastructure, and model evaluation, ensuring high-quality outputs and integration with product workflows.

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.