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)
*Bachelor’s degree or higher required