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    Senior Machine Learning - AI Engineer

    LimerickPermanentCompetitive
    Back to job search
    May 26
    JN -052026-2002596

    Senior Machine Learning - AI Engineer

    Limerick Permanent Competitive

    Senior Machine Learning - AI Engineer

    About the job

    My client is looking for a Senior Machine Learning/AI Engineer with a minimum of 5 years of experience to join their organisation in Limerick. This is a permanent role.

    Key Skills and Experience

    • 5+ years' experience in Machine Learning Engineering, Applied Data Science, or a similar hands-on technical role delivering production-grade AI solutions.
    • Strong expertise deploying ML models within manufacturing, industrial, IoT, or operational technology environments including MES, SCADA, and sensor-driven systems.
    • Proven experience with TensorFlow, PyTorch, and Scikit-learn, alongside practical knowledge of model deployment across AWS, Azure, or GCP platforms.
    • Hands-on experience designing and implementing Generative AI solutions including RAG architectures, embedding optimisation, evaluation frameworks, and agentic workflows.
    • Strong understanding of MLOps practices including CI/CD pipelines, Docker, Kubernetes, model monitoring, retraining strategies, lineage, and governance controls.
    • Ability to work closely with operational stakeholders and subject matter experts to translate complex business challenges into scalable AI and analytics solutions.

    Responsibilities

    • Develop and deploy machine learning solutions for predictive maintenance, anomaly detection, defect classification, vision inspection, and operational optimisation.
    • Design and implement scalable AI pipelines covering data ingestion, feature engineering, model training, evaluation, deployment, monitoring, and continuous improvement.
    • Build Generative AI and retrieval-based systems using structured and unstructured industrial datasets including technical documentation, operational procedures, and equipment data.
    • Create robust evaluation and governance frameworks to ensure model accuracy, explainability, traceability, and alignment with operational KPIs and compliance requirements.
    • Collaborate with engineering, manufacturing, and technology teams to identify innovation opportunities and deliver practical AI-driven business outcomes.
    • Support the adoption of modern AI and analytics capabilities by contributing to technical strategy, best practices, and continuous improvement initiatives across the organisation.

    © 2026 Morgan McKinley
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