26 to 50 of 69 Ray Jobs in the UK

processing skills with varied unstructured data representations · Processing unstructured data, such as 3D geometric data · Large scale, data-intensive systems in production · Distributed computing frameworks, such as Spark, Dask, Ray Data etc. · Cloud platforms such as AWS, Azure, or GCP · Docker · Documenting code, architectures, and experiments · Linux systems and bash terminals Preferred Qualifications o Databases and/or data warehousing More ❯

processing skills with varied unstructured data representations · Processing unstructured data, such as 3D geometric data · Large scale, data-intensive systems in production · Distributed computing frameworks, such as Spark, Dask, Ray Data etc. · Cloud platforms such as AWS, Azure, or GCP · Docker · Documenting code, architectures, and experiments · Linux systems and bash terminals Preferred Qualifications o Databases and/or data warehousing More ❯

processing skills with varied unstructured data representations · Processing unstructured data, such as 3D geometric data · Large scale, data-intensive systems in production · Distributed computing frameworks, such as Spark, Dask, Ray Data etc. · Cloud platforms such as AWS, Azure, or GCP · Docker · Documenting code, architectures, and experiments · Linux systems and bash terminals Preferred Qualifications o Databases and/or data warehousing More ❯

processing skills with varied unstructured data representations · Processing unstructured data, such as 3D geometric data · Large scale, data-intensive systems in production · Distributed computing frameworks, such as Spark, Dask, Ray Data etc. · Cloud platforms such as AWS, Azure, or GCP · Docker · Documenting code, architectures, and experiments · Linux systems and bash terminals Preferred Qualifications o Databases and/or data warehousing More ❯

processing skills with varied unstructured data representations · Processing unstructured data, such as 3D geometric data · Large scale, data-intensive systems in production · Distributed computing frameworks, such as Spark, Dask, Ray Data etc. · Cloud platforms such as AWS, Azure, or GCP · Docker · Documenting code, architectures, and experiments · Linux systems and bash terminals Preferred Qualifications o Databases and/or data warehousing More ❯

skills we are searching for are: Programming Skills: Proficiency in Python, data analytics, deep learning (Scikit-learn, Pandas, PyTorch, Jupyter, pipelines), and practical knowledge of data tools like Databricks, Ray, Vector Databases, Kubernetes, and workflow scheduling tools such as Apache Airflow, Dagster, and Astronomer. GPU Computing: Familiarity with GPU computing, both on-premises and on cloud platforms, and experience in More ❯

Rust, Python, Solidity Infrastructure: Kubernetes, Docker, GPU Scheduling (e.g., Kubeflow, Slurm), CI/CD pipelines Blockchain: EVM, Cosmos SDK, ZK/L2 solutions AI Stack (plus): PyTorch, Hugging Face, Ray, ONNX What We Offer Competitive salary + equity/token package Flexible, remote-first work environment High-impact leadership role in a fast-scaling frontier tech company Opportunity to shape More ❯

Rust, Python, Solidity Infrastructure: Kubernetes, Docker, GPU Scheduling (e.g., Kubeflow, Slurm), CI/CD pipelines Blockchain: EVM, Cosmos SDK, ZK/L2 solutions AI Stack (plus): PyTorch, Hugging Face, Ray, ONNX What We Offer Competitive salary + equity/token package Flexible, remote-first work environment High-impact leadership role in a fast-scaling frontier tech company Opportunity to shape More ❯

scalable and efficient systems Experience with graph (DAG) representation, analysis, and processing using tools like NetworkX Experience with open source distributed computing tools in Python, such as Dask or Ray Proficiency in data processing, analysis, and visualization leveraging best-in-class open source tools, libraries, and frameworks Solid understanding of statistical modeling, machine learning techniques, and their practical applications in More ❯

Pallas, Triton, and/or CUDA code to achieve performance breakthroughs. Required Skills Understanding of Linux systems, performance analysis tools, and hardware optimisation techniques Experience with distributed training frameworks (Ray, Dask, PyTorch Lightning, etc.) Expertise with Python and/or C/C++ Development with machine learning frameworks (JAX, Tensorflow, PyTorch etc.) Passion for profiling, identifying bottlenecks, and delivering efficient More ❯

Galytix (GX) is delivering on the promise of AI. GX has built specialised knowledge AI assistants for the banking and insurance industry. Our assistants are fed by sector-specific data and knowledge and easily adaptable through ontology layers to reflect More ❯

user base. As a team, we are a collaborative, cross-functional group with backgrounds in information retrieval, natural language processing, and distributed systems. We work with Go microservices, Python, Ray Serve, Kubernetes/KubeRay, and work on AWS, GCP & Azure. We provide thought leadership across a variety of mediums including open code repositories, publishing blogs, and speaking at conferences. We … Bring 5+ years working in an MLOps or related ML Engineering role Production experience self-hosting & operating LLMs at scale for generative tasks via an inference framework such as Ray or KServe (or similar) Production experience with running and tuning specialized hardware for Generative AI workloads, especially GPUs via CUDA Measured and articulate written and spoken communication skills. You work More ❯

functional engineering teams. Passion for open-source and decentralized infrastructure. Excellent communication and executive presence. Preferred Tech Stack Languages: Go, Rust, Python, Solidity AI Stack (plus): PyTorch, Hugging Face, Ray, ONNX What We Offer Competitive salary + equity/token package Flexible, remote-first work environment High-impact leadership role in a fast-scaling frontier tech company Opportunity to shape More ❯

Extensive background in delivering production-grade, data-centric applications for quantitative trading and analytics, with demonstrated expertise in: The python data engineering stack (Polars, Parquet, FastAPI, Jupyter, Airflow, Streamlit, Ray) High-performance data stores and query engines (Starburst, Snowflake) Real-time streaming analytics technologies (Kafka, Flink) Cloud container technologies (AWS, Azure, GCP, Docker, Kubernetes) Proven success in enhancing developer experience More ❯

Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life. Diversity at Altos We believe that diverse perspectives are foundational to scientific innovation and inquiry. At More ❯

Our Mission Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life. For more information, see our website at Our Value Our Single Altos Value: Everyone More ❯

quality datasets suitable for machine learning research and production. High-Performance Data Pipelines Develop and optimize distributed systems for data processing, including filtering, indexing, and retrieval, leveraging frameworks like Ray, Metaflow, Spark, or Hadoop. Synthetic Data Generation Build and orchestrate pipelines to generate synthetic data at scale, advancing research on cost-efficient inference and training strategies. Experiments & Analysis Design and … inference of pretrained models, 3D rendering engines, and/or other softwares. Distributed Computing & MLOps Demonstrated proficiency in setting up large-scale, robust data pipelines, using frameworks like Spark, Ray, or Metaflow. Comfortable with model versioning, and experiment tracking. Performance Optimization Good understanding of parallel and distributed computing. Experienced with setting up evaluation methods Cloud & Storage Systems Experience with AWS More ❯

and version control systems Experience with: 2D and 3D computer graphics programming Bayesian statistics NVIDIA Warp and/or JAX, NVIDIA Modulus or similar Pytorch, Pytorch Lightning, Weights & Biases, Ray, AWS Sagemaker Experience training diverse architectures: CNNs, GNNs, Diffusion models, Contrastive learning, Transformers, LLMs, RNNs etc. at scale Computer Vision Python, C++, Rust Learn More About Autodesk Welcome to Autodesk … control systems Experience with: 2D and 3D computer graphics programming Visualization techniques Bayesian statistics NVIDIA Warp and/or JAX, NVIDIA Modulus or similar Pytorch, Pytorch Lightning, Weights & Biases, Ray, AWS Sagemaker Experience training diverse architectures: CNNs, GNNs, Diffusion models, Contrastive learning, Transformers, LLMs, RNNs etc. at scale Koopman, DMD, SINDy, Fourier Neural Operators, PINNs etc. Computer Vision Python, C++ More ❯

collaborative, and research-driven environment. Nice to Haves Hands-on experience with PCB design, EDA software, or circuit-level optimization problems. Familiarity with high-performance computing tools like Kubernetes, Ray, or Dask. Open-source contributions, academic publications, or strong performance in ML competitions (e.g., Kaggle). Background in adjacent areas like Computer Vision, Representation Learning, or Simulation Environments. Why Join More ❯

collaborative, and research-driven environment. Nice to Haves Hands-on experience with PCB design, EDA software, or circuit-level optimization problems. Familiarity with high-performance computing tools like Kubernetes, Ray, or Dask. Open-source contributions, academic publications, or strong performance in ML competitions (e.g., Kaggle). Background in adjacent areas like Computer Vision, Representation Learning, or Simulation Environments. Why Join More ❯

accelerating ML research and deployment in creative space. Bonus Skills (Nice-to-Have) Experience with ML pipelines involving video, image, or 3D data. Familiarity with distributed compute frameworks (e.g., Ray) or orchestration tools (e.g., Flyte). Familiarity with game engines (Unreal or Unity) Knowledge of vector databases and similarity search (e.g., LanceDB). Prior work in AI/ML research More ❯

high-quality data flows through the pipeline. Collaborate with research to define data quality benchmarks . Optimize end-to-end performance across distributed data processing frameworks (e.g., Apache Spark, Ray, Airflow). Work with infrastructure teams to scale pipelines across thousands of GPUs . Work directly with the leadership on the data team roadmaps. Manage the team of data engineers. More ❯

Ability to convert customer requirements or business challenges into well-defined machine learning solutions We are using many technologies day to day such as various AWS services, GCP, Kubernetes, Ray Serve, Kubeflow, and ReTool. Any experience in these areas would be a bonus Sprout.ai Values Hungry for Growth - Unleash your inner Sprout: Sprouts embrace growth, forget comfort zones, and help More ❯

clean, high-quality data flows through the pipeline. Collaborate with research to define data quality benchmarks. Optimize end-to-end performance across distributed data processing frameworks (e.g., Apache Spark, Ray, Airflow). Work with infrastructure teams to scale pipelines across thousands of GPUs. Work directly with the leadership on the data team roadmaps. Manage the team of data engineers. Work More ❯

experiments Experience with ML model monitoring systems Experience with ML training and data pipelines and working with distributed systems Proficiency with modern deep learning libraries and frameworks (PyTorch, Lightning, Ray) Preferred Qualifications Experience owning a product from development through monitoring and incident response Knowledge of the design, manufacturing, AEC, or media & entertainment industries Experience with Autodesk or similar products (CAD More ❯