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Top Machine Learning Jobs in Dublin
Retail • Sports
Lead enterprise AI strategy and roadmap; build and scale cross-functional AI/ML teams; architect and deliver LLM, RAG, predictive and data-heavy AI products; establish MLOps, governance, cloud-native platforms (Azure/Databricks/AWS/GCP); drive product lifecycle, KPI tracking, security, and responsible AI practices.
Top Skills:
Api-Driven ArchitecturesAutomated Retraining PipelinesAWSAzureCi/Cd For MlData OrchestrationDatabricksDelta (Delta Patterns)Distributed SystemsEtl/EltGCPGovernanceLlmsMlopsModel Monitoring/Drift DetectionModel RegistryObservabilityPrompt EngineeringRag (Retrieval-Augmented Generation)SparkTransformer Architectures
Big Data • Cloud • Digital Media • Machine Learning • Mobile • Software • Industrial
Lead and manage a team of ML engineers and researchers to design, deploy, and monitor scalable computer vision, graphics, and generative AI models for a VFX platform. Define ML strategy, collaborate with product and engineering to integrate models into production pipelines, ensure responsible AI practices, and partner with infrastructure teams to build efficient training and deployment systems.
Top Skills:
BlenderMayaPythonPyTorchTensorFlowUnreal Engine
HR Tech • Software
Own and scale half-hourly forecasting models for frontline workforce demand, lead end-to-end client launches (data validation, model selection, UAT, monitoring), join client calls, build stakeholder relationships, and maintain production ML systems that handle messy data and feedback loops.
Top Skills:
Claude CodeCursorDockerGCPGithub CopilotMlflowNumpyPythonScikit-Learn
Artificial Intelligence
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.
Top Skills:
Data PipelinesKnowledge GraphsMachine LearningSchema Design
Cloud • Information Technology • Software
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.
Top Skills:
Artificial IntelligenceData AnalysisDeep LearningMachine LearningNatural Language ProcessingPythonReinforcement LearningSQLStatistical Analysis
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