11 of 11 Ray Jobs in the UK

strong portfolio of research publications (ICML, NeurIPS, KDD, etc.) or patents related to applied AI. Extensive experience with distributed computing frameworks (e.g., Spark, Ray) for large-scale model training and inference. ...

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 ...

HAVE: Hands-on experience with LLMs and Natural Language Processing (NLP) , including fine-tuning or prompt engineering. Familiarity with distributed computing or parallel processing (Ray, Spark, etc.). Experience deploying models in production environments (Docker, cloud services). Exposure to data engineering or working alongside data pipeline teams. A genuine ...

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 ...

roles 3+ years deploying ML solutions in production Hands-on experience with AWS ML services (SageMaker, Bedrock, etc.) Experience with distributed training (Horovod, Ray, etc.) Proven work with generative AI and LLM applications Strong Python and ML framework skills (PyTorch, TensorFlow, etc.) Experience with MLOps practices and tools Strong communication ...

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 ...

TensorFlow Demonstrated ability to scale ML workflows in real-world settings (cloud, GPU clusters, distributed training) Comfortable with MLOps tooling (W&B, Ray, Docker, etc.) Familiar with modern model architectures High ownership mindset ideal for people who enjoy low-ego, fast-moving engineering teams No prior biotech experience needed ...

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 ...

design products Build and optimise data processing pipelines for 3D geometry (meshes, B-Reps) and rendering workflows using distributed compute frameworks, i.e. Ray, Metaflow, Spark Integrate with and monitor CI/CD systems (e.g., Jenkins, Github actions) Integrate AI/ML solutions into CAD platforms in collaboration with research scientists … BREPs) Familiarity with OpenCascade Knowledge of 3D data processing, rendering techniques, and graphics APIs (DirectX, OpenGL, Vulkan) Experience with distributed compute engines such as Ray Data or Spark Understanding of software architecture and design patterns Ability to work in an agile development environment Passion for learning new technologies and improving ...

high-frequency and alternative data. Implement data validation, monitoring, and access layers for research and production. Scale research models into distributed compute workflows (Dask, Ray). Develop Jupyter-based tools for strategy prototyping and tuning. Implement performance attribution and diagnostic tools. Create dashboards and visualizations for order book and strategy … markets. Nice to Have: Experience with crypto exchanges and market microstructure. Hands-on with interactive visualization libraries (e.g., Bokeh). Distributed compute experience (Dask, Ray). Familiarity with ML frameworks (JAX, PyTorch, TensorFlow, XGBoost). Experience with compilers and code generation. Benefits International environment (English as the main language). ...