7 of 7 Parallel Processing Jobs in the UK

engineering work, set high standards for code quality, and run thorough code and design reviews. Advanced Python knowledge, including asynchronous programming (asyncio), concurrency and parallel processing, and strong experience with frameworks such as FastAPI, Django REST Framework and Flask. Experience with modern architecture patterns, including microservices, event-driven … agent frameworks that automate complex workflows. Practical experience applying generative AI models, such as GPT, Gemini and Claude, to code generation, natural language processing and intelligent automation. Ways of working Experience with Agile, Scrum or Kanban, and a collaborative, iterative approach to delivery. Strong organisational skills, with the ability ...

Train and iterate on ML models - from dataset curation through training, evaluation, and deployment to edge devices. Help bring ML, computer vision, or signal-processing systems into production with tight performance constraints Build reliable application features and services that customers use in real environments. Analyze production data to find … backend engineering. Working knowledge of C++ or a strong reason to be effective in performance-critical code. Experience with data-intensive systems, distributed systems, parallel processing, or efficient data pipelines. Exposure to ML, ML infrastructure, signal processing, real-time systems, computer vision, or related applied technical areas. ...

Python services and APIs. · Profile and optimise application performance, focusing on CPU, memory and I/O utilisation, latency and throughput. · Tune concurrency and parallel processing using asyncio, multiprocessing and threading. · Diagnose and resolve complex technical issues across applications, infrastructure, distributed systems and Kubernetes workloads. · Lead root-cause ...

managed databases and Terraform A solid grasp of CI/CD, testing and containerisation Nice to have A Master's or PhD Experience with parallel processing frameworks such as PySpark or Ray Serverless deployments (e.g. Fargate, Lambda) and infrastructure automation with tools like Terratest or Ansible What ...

Fusion Cloud and internal or external enterprise systems using Oracle Integration Cloud. Define practical and reusable integration patterns covering synchronous APIs, asynchronous orchestration, scheduled processing, event-based flows and file-based interfaces. Produce and maintain integration design artefacts, including interface catalogues, mapping specifications, transformation rules, error‐handling designs, deployment … notes and operational support documentation. Build and optimise OIC integrations using: App-driven orchestrations Scheduled integrations and bulk processing patterns REST and SOAP services SFTP/file-based interfaces Oracle Fusion adapters and enterprise application adapters where applicable JSON, XML, XSLT, XPath and schema-based transformations Implement robust error ...

such as Apache Spark. Design data integration solutions connecting cloud platforms with on-premises data sources. Establish event-driven architectures to support efficient data processing, workflow orchestration and near-real-time data availability. Optimise data pipelines for performance, parallelisation, reliability and scalability. Design data processing capabilities that support … cases. Develop scalable approaches and tooling to enable self-service ETL and the onboarding of new data assets. Define data access, storage, integration and processing patterns across multi-cloud environments. Provide architectural guidance across AWS and Azure services, including EC2, EMR, S3, Lambda and Azure Blob Storage. Work with ...

physics simulators such as Isaac Sim, MuJoCo, PyBullet, or equivalent game engines like Unreal or Unity Experience with large-scale GPU-accelerated simulation and parallel processing Strong Python programming skills with ability to profile and debug physics issues Familiarity with modern software engineering practices and clear experiment documentation ...