Fin is seeking an AI Infrastructure Engineer to join the AI Infrastructure team in London. You will architect and scale distributed training pipelines for LLMs, build low-latency inference services, and optimize GPU performance.
Collaboration with ML scientists to productionize workflows and mentor teammates are key aspects. We value strong software fundamentals, experience with CUDA/Triton, Kubernetes, and cloud platforms, and a passion for advancing AI infrastructure at scale.
#J-18808-LjbffrLLM Infrastructure Architect — Scale Pipelines & GPUs (Hybrid) employer: Fin
Fin is an exceptional employer located in the vibrant Greater London area, offering a dynamic work environment that champions innovation and collaboration. With a strong emphasis on employee growth, the company provides ample opportunities for professional development and networking within the thriving startup ecosystem. The supportive culture, combined with flexible working arrangements and a comprehensive benefits package, makes Fin an attractive choice for those seeking meaningful and rewarding employment in the tech sector.
