complex challenges into impactful AI solutions that deliver measurable value. Develop robust, secure, and scalable AI systems, embedding best practices across CI / CD, containerisation, monitoring, governance, and responsible AI principles. Monitor and optimise deployed models, identifying performance issues, drift, and opportunities for improvement through … machine learning fundamentals, statistics, and working with complex datasets to support model development, training, fine‐tuning, and inference. Experience with CI / CD, containerisation, MLOps / LLMOps workflows, and monitoring AI models in production, including evaluating performance, safety, and cost efficiency. Ability to translate ...