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 Strong communication and stakeholder management skills Qualifications IT / Technology-related degree (e.g. Computer Science, Engineering, Mathematics or similar) Minimum 2:1 classification (or equivalent) Bachelors degree or higher required TPBN1\_UKTJ