Senior Machine Learning – AI Engineer

NLP PEOPLE; Limerick; On-site; EUR 70,000 - 90,000; Full time

Job summary

NLP PEOPLE is seeking a Senior Machine Learning/AI Engineer with at least 5 years of experience to join their team in Limerick. This permanent position focuses on delivering AI solutions, deploying ML models, and driving operational optimization.

The ideal candidate will have hands-on experience with TensorFlow, PyTorch, and MLOps practices. They will work collaboratively across various teams, developing and implementing innovative AI-driven business strategies.

Qualifications

• 5+ years of experience in Machine Learning Engineering or Applied Data Science.
• Strong expertise deploying ML models in industrial settings.
• Hands-on experience with Generative AI and MLOps practices.

Responsibilities

• Develop and deploy machine learning solutions for predictive maintenance.
• Design scalable AI pipelines for data ingestion and model training.
• Collaborate with teams to identify innovation opportunities.

Skills

Machine Learning Engineering

Applied Data Science

TensorFlow

PyTorch

Scikit-learn

MLOps

Docker

Kubernetes

Tools

AWS

Azure

GCP

Job description

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.

Company

Morgan McKinley

Qualifications

Senior (5+ years of experience)