Senior AI Engineer

Build and Optimise LLM-Powered Systems:

• Architect, fine-tune and optimise machine learning models including LLMs and classical ML approaches.
• Apply efficient training techniques such as LoRA and parameter-efficient methods to improve model performance.

Develop Scalable AI Systems:

• Build and deploy production-grade NLP pipelines and services ensuring low latency and high availability.
• Integrate models into scalable cloud infrastructure and real-world applications.

Data Strategy and Model Training:

• Lead the acquisition, processing and governance of large structured and unstructured datasets.
• Ensure data privacy and governance standards suitable for financial services.

Engineering Best Practices:

• Contribute to DevOps and MLOps pipelines with robust version control, testing and CI/CD workflows.
• Support reliable deployment and monitoring of models in production environments.