7 of 7 Permanent Ray Jobs in the UK excluding London

focused organization Knowledge of LLMs, embeddings, and modern ML techniques for text, images, and multimodal data Experience working with big data ecosystems (Spark, Ray, Snowflake, BigQuery, etc.) Familiarity with statistical modeling frameworks such as Bayesian methods or probabilistic programming Why Join Gain exposure to cutting-edge AI research workflows, collaborating ...

focused organization Knowledge of LLMs, embeddings, and modern ML techniques for text, images, and multimodal data Experience working with big data ecosystems (Spark, Ray, Snowflake, BigQuery, etc.) Familiarity with statistical modeling frameworks such as Bayesian methods or probabilistic programming Why Join Gain exposure to cutting-edge AI research workflows, collaborating ...

focused organization Knowledge of LLMs, embeddings, and modern ML techniques for text, images, and multimodal data Experience working with big data ecosystems (Spark, Ray, Snowflake, BigQuery, etc.) Familiarity with statistical modeling frameworks such as Bayesian methods or probabilistic programming Why Join Gain exposure to cutting-edge AI research workflows, collaborating ...

focused organization Knowledge of LLMs, embeddings, and modern ML techniques for text, images, and multimodal data Experience working with big data ecosystems (Spark, Ray, Snowflake, BigQuery, etc.) Familiarity with statistical modeling frameworks such as Bayesian methods or probabilistic programming Why Join Gain exposure to cutting-edge AI research workflows, collaborating ...

expertise in C Rust/Go for systems programming, plus Python for model integration. Strong knowledge of distributed runtimes and scheduling frameworks (e.g. Ray, Dask, MPI, or custom equivalents). Experience with GPU cluster management (CUDA, NCCL, Triton Inference Server) and performance tuning across accelerators. Solid grasp of cloud-native ...

expertise in C Rust/Go for systems programming, plus Python for model integration. Strong knowledge of distributed runtimes and scheduling frameworks (e.g. Ray, Dask, MPI, or custom equivalents). Experience with GPU cluster management (CUDA, NCCL, Triton Inference Server) and performance tuning across accelerators. Solid grasp of cloud-native ...

from home 1-2 days a week. About you: You have experience of engineering and supporting at least one HPC scheduler, such as YellowDog, Ray, Slurm or IBM Symphony You have a deep knowledge of Linux You have a good understanding of both loosely coupled and tightly coupled HPC workloads ...