7 of 7 Performance Optimisation Jobs in Oxfordshire

emerging computational systems Collaborate with experts across multiple disciplines, combining software engineering with advanced scientific thinking Build and refine core infrastructure that enables simulation, optimisation, and performance at scale Integrate complex tools and workflows into cohesive, usable systems that support cutting-edge research and development Tackle challenges that … least one compiled language such as C++, Rust, Julia, Haskell, OCaml or similar Familiarity with modern software development practices including testing, debugging, and performance optimisation An interest in scientific or high-performance computing, or in applying software to complex, real-world problems Not every requirement needs ...

ensuring generation and storage assets deliver the correct contracted schedules. Design and manage Delta Lake tables and SQL databases, applying strong data modelling and optimisation strategies. Develop monitoring dashboards and alerting to ensure transparency around pipeline health and data freshness. Implement data validation and reconciliation checks across multiple market … data sources. Optimise pipeline performance and manage compute costs through efficient Spark and SQL design Produce clear documentation for data schemas, pipelines and operational processes. Contribute to Git-based development workflows and CI/CD pipelines. Support internal teams by ensuring settlement and industry data is delivered accurately ...

CodePipeline. Develop and maintain Software‐in‐the‐Loop and Hardware‐in‐the‐Loop test environments, including automated deployment across multiple platforms. Integrate performance testing techniques across multiple types of simulation (e.g. Gazebo, rosbag‐based workflows). Collaborate with hardware engineers, systems architects and AI/ML specialists to integrate … embedded software and test frameworks into the overall system. Participate in code reviews, performance optimisation and comprehensive testing (unit, integration and system level) to maintain high quality standards. Develop, implement and execute test strategies and verification activities for safety‐critical software, including static and dynamic code analysis using ...

CodePipeline.? Develop and maintain Software-in-the-Loop and Hardware-in-the-Loop test environments, including automated deployment across multiple platforms.? Integrate performance testing techniques across multiple types of simulation (e.g. Gazebo, rosbag-based workflows).? Collaborate with hardware engineers, systems architects and AI/ML specialists to integrate … embedded software and test frameworks into the overall system.? Participate in code reviews, performance optimisation and comprehensive testing (unit, integration and system level) to maintain high quality standards.? Develop, implement and execute test strategies and verification activities for safety-critical software, including static and dynamic code analysis using ...

analytics, BI, and operational reporting needs. Data Architecture Implementation Translate the defined data architecture and standards into implemented solutions—including ingestion, transformation, storage, and performance optimisation. Pipeline Development & Orchestration Develop robust ELT/ETL pipelines using dbt and workflow/orchestration tools (e.g., Argo Workflows), ensuring reliability, maintainability … adherence to engineering best practices. Performance & Cost Optimisation Implement Snowflake warehouse configurations and query optimisation techniques to ensure efficient usage and predictable cost. Data Quality & Governance Execution Apply data quality checks, lineage tracking, and security standards across the data estate. Ensure compliance with data policies, InfoSec controls ...

company is building a unified software platform that consolidates commercial and internal engineering tools. This platform will accelerate their design exploration, enabling faster performance optimization and rapid scaling for new applications. They are seeking a motivated Software Engineer to develop this platform. Working alongside Aerothermal Designers and Mechanical Engineers ...

Python and ML frameworks (TensorFlow, PyTorch). Strong statistical and analytical skills. Experience with a wide range of Data Science techniques (e.g. ML, Optimisation, Simulation, GenAI, etc.). Demonstrated ability to take models from design through to production deployment, including performance optimization, monitoring, and integration into business workflows ...