Machine Learning Engineer

The successful candidate will work closely across business and technical teams delivering sophisticated projects in Apple s fast-paced environment. The role includes responsibility for all aspects of a project, including:Propose appropriate designs to meet the business requirements.Presenting the solution for design reviews and business playbacks.Build and review detailed technical documents for new or existing enhancements. Collaborating on deliverables, dependencies and risks.Status reporting within the team and to management throughout the project lifecycle.Co-ordinating cutover and implementation activities across teams. The successful candidate will work closely across business and technical teams delivering sophisticated projects in Apple s fast-paced environment. The role includes responsibility for all aspects of a project, including: Propose appropriate designs to meet the business requirements. Presenting the solution for design reviews and business playbacks. Build and review detailed technical documents for new or existing enhancements. Collaborating on deliverables, dependencies and risks. Status reporting within the team and to management throughout the project lifecycle. Co-ordinating cutover and implementation activities across teams. Preferred Qualifications At least 1 full cycle project experience implementing AI or ML projects Possess excellent problem-solving & analytical skills. Proven record of leading projects with timely delivery and working experience with global. Familiarity with ML libraries and frameworks, including TensorFlow, PyTorch, Pandas, and Scikit-learn. Ability to fine tune an LLM is a Plus. Understanding of RAG and graph-based RAG methodologies. Hands on experience with LangChain and LangGraph is a plus. Skills in rapid prototyping and experimentation with generative models Experience in performance optimisation, particularly in enhancing model performance and inference speed for real-time applications is a plus.