4 of 4 Ray Jobs in the UK excluding London

SOC 2). Collaborate with ML/AI Teams Package and deploy large‑language‑model (LLM) training jobs on distributed GPU clusters (Slurm, Ray, Kubeflow, or AWS SageMaker). Optimize model‑serving (Triton, vLLM, TorchServe) for low‑latency, high‑throughput inference. Cost & Performance Optimization Track cloud spend, right‑size resources More ❯

to architectural decisions. What We’re Looking For: Strong Python programming skills (5+ years preferred). Deep experience with distributed systems (e.g., Kafka, Spark, Ray, Kubernetes). Hands-on work with big data technologies and architectures. Solid understanding of concurrency, fault tolerance, and data consistency. Comfortable in a fast-paced More ❯

navigating hybrid infrastructure : some workloads will be on-prem, others cloud (large GPU clusters). Familiarity with distributed systems and container orchestration (e.g., Kubernetes, Ray). Experience working client-facing or in cross-functional teams — ideally within pharma/life sciences .1 A “get stuck in” attitude — this is a More ❯

Stack Our client is tech-agnostic and values adaptability. Current tools include: Backend : Python Frontend : TypeScript, React Infrastructure : Kubernetes, GCP Machine Learning : PyTorch, CUDA, Ray What’s on Offer Highly competitive base salary + commission + equity in a hyper-growth company 25 days holiday + public holidays Dynamic office More ❯