Machine Learning Engineer

A leading technology consultancy is seeking an experienced Machine Learning Operations Engineer to help deploy AI/ML solutions into production environments across a range of client engagements. This role is focused on operationalising models (MLOps / AIOps), rather than building ML applications from scratch.

Key Responsibilities

• Design and develop machine learning operational processes across diverse client environments

• Analyse client requirements and provide clear technical recommendations

• Manage the full ML lifecycle, including data selection, model deployment, operationalisation, and monitoring

• Develop Infrastructure as Code for ML platforms using AWS CDK

• Collaborate closely with data scientists to productionise ML models

Required Experience & Skills

• Proven experience deploying AI/ML models into production (MLOps / AIOps)

• Strong AWS experience (other cloud platforms will not be considered)

• Experience with CI/CD pipelines for ML/DL models

• Proficiency in Python and common ML libraries (e.g. Scikit-learn, TensorFlow, PyTorch)

• Experience with container technologies (Docker, Kubernetes)

• Consultancy or client-facing experience preferred

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