2 of 2 Distributed Computing Jobs in Cambridgeshire

Responsibilities: Create robust, flexible, and scalable machine learning tooling and infrastructure that supports research scientists in leveraging large-scale internal infrastructure (e.g., source control, distributed compute clusters, data storage). Work collaboratively as part of a multifunctional team where communication, documentation, and teamwork are highly valued. Write clean, maintainable … focus on building and maintaining scalable infrastructure. Hands-on experience with PyTorch or similar machine learning frameworks (e.g., TensorFlow). Experience working with distributed systems or high-performance compute infrastructure. 2+ years of experience working with large, complex datasets for machine learning, including data capture and annotation. Demonstrated experience ...

Work closely with ML researchers and infra teams What you'll do Build and improve Python-based ML tooling and pipelines Support and scale distributed compute workflows Fix, optimise, and own internal systems used daily by ML teams What we're looking for Strong Python software engineer (4+ years … Experience with PyTorch or TensorFlow Exposure to distributed systems/large-scale compute Comfortable building tools for other engineers or researchers Interested? If you like owning systems and solving real engineering problems, let's talk. ...