Distributed Computing Application Engineer - Systematic Hedge Fund - London Our client, a leading systematic hedge fund, is seeking a Distributed Computing Application Engineer to join their London-based team. This role involves collaborating across multiple business units to architect and optimise large-scale, compute-intensive work flows spanning global locations. You will work with cutting-edge platforms such as Ray and YellowDog, driving the integration and support of distributed computing solutions to enhance performance and scalability in complex environments. Key Responsibilities: Partner with business teams to embed distributed computing into core workflows. Optimise applications for high performance on distributed platforms. Provide architectural and technical leadership in the design and development of distributed systems. Design, implement, and manage distributed computing solutions using Ray and YellowDog. Required Skills & Experience: Bachelor's degree in Computer Science, Engineering, or a related field. Deep understanding of loosely and tightly coupled workloads. Hands-on experience with HPC platforms and job/resource scheduling. Proficiency in cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP). Proven experience working with large-scale systems (1000 nodes, 10,000 tasks). Advanced expertise in Ray for machine learning pipelines, hyperparameter tuning, and distributed execution. Strong programming skills in Python and experience with Conda. Proficiency with Docker and Kubernetes for containerisation and orchestration.