Senior Machine Learning Engineer
Lancaster, Lancashire, United Kingdom
Hybrid / WFH Options
Hybrid / WFH Options
Galaxy Systems
frameworks. Build and optimize RAG pipelines using models like GPT, Claude, or other LLMs integrated with document retrieval systems. Develop production-ready ML applications in cloud environments (AWS, SageMaker, Databricks, etc.). Leverage GPU-based computing resources and CUDA/Nvidia for performance optimization in training and inference. Collaborate with data engineers, software developers, and product teams to deliver AI More ❯
Employment Type: Permanent
Salary: GBP Annual
Posted: