Talent.com
This job offer is not available in your country.
Application Engineer - Distributed Computing

Application Engineer - Distributed Computing

Selby JenningsLondon, London, United Kingdom
12 days ago
Job type
  • Full-time
Job description

Social network you want to login / join with :

Do you have the following skills, experience and drive to succeed in this role Find out below.

Application Engineer - Distributed Computing, london

col-narrow-left

Client : Selby Jennings

Location :

london, United Kingdom

Job Category : Other

EU work permit required :

col-narrow-right

Job Views : Posted :

10.06.2025

Expiry Date : 25.07.2025

col-wide

Job Description :

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.

    • J-18808-Ljbffr

    Create a job alert for this search

    Application Engineer • London, London, United Kingdom