10 of 10 Distributed Computing Jobs in the South West

or similar), and containerisation (Docker) Strong knowledge of cloud platforms like Azure, AWS or GCP for deploying and managing ML models Familiarity with data engineering tools and practices, e.g., distributed computing (e.g., Spark, Ray), cloud-based data platforms (e.g., Databricks) and database management (e.g., SQL) Strong communication skills, capability to present technical concepts to technical and non-technical More ❯

engineers, and platform engineers to build and deploy scalable data pipelines to aggregate, prepare, and process data for use with machine learning. Your skills span across data processing and distributed systems with a software engineering base. You are excited to collaborate with ML engineers to build generative AI features in Autodesk products, and comfortable working at the intersection of … to work remotely, in an office, or a mix of both. Responsibilities · Collaborate on engineering projects for product with a diverse, global team of researchers and engineers · Develop scalable distributed systems to process, filter, and deploy datasets for use with machine learning · Process large, unstructured, multi-modal (text, images, 3D models, code snippets, metadata) data sources into formats suitable … have experience in data modelling, architecture, and 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 More ❯

solutions and manage pipelines that transform diverse data sources into valuable insights for our client’s National Security customers. You will collaborate with clients to solve complex challenges, utilising distributed computing techniques to handle large-scale, real-time, and unstructured data. Responsibilities include: Design and develop data pipelines, including ingestion, orchestration, and ETL processing (e.g., NiFi). Ensure … days ago Bishop's Cleeve, England, United Kingdom 1 month ago Gloucester, England, United Kingdom 6 days ago Gloucester, England, United Kingdom 12 hours ago System Reliability Engineer - Quantum Computing Cambridge, England, United Kingdom 4 months ago Worcester, England, United Kingdom 4 weeks ago Cambridge, England, United Kingdom 4 months ago Data Analytics and Applied Statistics Lead Engineer Bishop More ❯

ourselves on being a supportive and collaborative team, where we organise around our individual research interests to solve problems together in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications, including for sequence- and graph-based data. We're based across London, Cambridge and Bristol, with projects and … scaling. Capable of designing, executing and reporting from ML experiments. Mathematics skills to support the above: calculus, probability theory and linear algebra. Desirable Experience in one or more of: distributed computing, efficient computing based on low-precision arithmetic, deep learning models including large generative models for language, vision and other modalities, machine learning for molecules and proteins More ❯

The ‘Hardware Tools & Flows’ team was created to ensure a hyper-fast, resilient build system that optimizes tool use, scales with our needs, and maximizes simulation workloads on our distributed compute grid. As a founding member of our team, you will bring your technical expertise, innovation mindset, and proactive attitude to help shape our team culture, define our tools … desired experience includes: Build systems (e.g., Bazel, Nextflow, FuseSoC). Hardware EDA tools (simulation, linting, synthesis). SystemVerilog, C/C++, Simulator DPI/VPI. Containerization (e.g., Docker). Distributed computing and orchestration. Jenkins automation. Software templating and rendering. Data engineering, data science, or machine learning. Who we are Imagination is a UK-based company creating silicon and More ❯

solutions and manage pipelines that transform diverse data sources into valuable insights for our client's National Security customers. You will collaborate with clients to solve complex challenges, utilising distributed computing techniques to handle large-scale, real-time, and unstructured data. Responsibilities include: Design and develop data pipelines, including ingestion, orchestration, and ETL processing (e.g., NiFi). Ensure More ❯

solutions and manage pipelines that transform diverse data sources into valuable insights for our client’s National Security customers. You will collaborate with clients to solve complex challenges, utilising distributed computing techniques to handle large-scale, real-time, and unstructured data. Responsibilities include: Design and develop data pipelines, including ingestion, orchestration, and ETL processing (e.g., NiFi). Ensure More ❯

has been created to ensure that we have a hyper-fast, resilient build system that optimizes tool use, scales with our needs, and continually maximises simulation workloads on our distributed compute grid. As a founding member of our team, you are joining us at a start of a revolution – with your technical expertise, innovation mindset, and ‘get stuff done … or more of the following: Build systems (e.g. Bazel, Nextflow, FuseSoC) Hardware EDA tools (eg. simulation, linting, synthesis) Systemverilog, C/C++, Simulator DPI/VPI Containerization (eg. Docker) Distributed Compute, Orchestration Jenkins Automation Software templating, rendering Data Engineering/Data Science/Machine Learning Who we are Imagination is a UK-based company that creates silicon and software More ❯

adequacy of controls by considering business and technology risks in an integrated manner. Extensive knowledge of system development life cycle concepts with an ability to quickly learn a complex, distributed computing environment. Strong analytical skills, particularly in regard to assessing the probability and impact of an internal control weakness Excellent verbal and written communication skills. Also, good interpersonal More ❯

Strong understanding of internal control concepts, with the ability to evaluate controls considering business and technology risks. Knowledge of system development life cycle concepts and ability to learn complex, distributed computing environments quickly. Strong analytical skills to assess internal control weaknesses' probability and impact. Excellent verbal and written communication skills, with the ability to present complex issues to More ❯