5 of 5 Remote Ray Jobs in England

experience with experiment tracking and orchestration tools such as clearml, Weights & Biases, MLflow. Experience with distributed computing frameworks and large-scale data processing (e.g., Ray, Spark, Dask) Excellent communication skills to collaborate with researchers and translate research ideas into robust implementations Self-driven attitude with genuine curiosity about ML research ...

manage multiple priorities in a fast-paced, dynamic environment Preferred Experience with GenAI and LLMs Proficiency with HuggingFace, Fastai, scikit-learn, XGBoost, LightGBM, or Ray Experience with hyperparameter optimization solutions Background in data engineering, MLOps, or LLMOps, with tools such as Docker and Kubernetes Familiarity with data pipeline tools Wondering ...

with practical experience in building and training reinforcement learning models. Excellent programming skills, with experience using reinforcement learning and ML frameworks (e.g. PyTorch, TensorFlow, Ray, Gym, RLLib, SB3, TRL) and MLOps tools. Solid understanding of hyperparameter optimisation techniques and strategies. Experience building machine learning platforms or tooling for industrial ...

Grafana, Prometheus, DataDog etc.) Understanding of DataOps, FinOps, and cost-optimised data management practices. Familiarity with distributed systems and high-throughput data processing (e.g. Ray, Dask, Spark). Experience with feature engineering, model lifecycle management, and data-driven research environments (e.g. JupyterHub). Our recruitment philosophy We value self-awareness ...

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 ...