26 to 33 of 33 Performance Optimisation Jobs in Scotland

and hybrid environments. Automate provisioning, deployment, and release of Azure resources using DevOps pipelines. Champion Infrastructure as Code (IaC) to standardise and scale cloud operations. Monitor system health and performance of cloud-based applications and services. Troubleshoot infrastructure and application issues, including security-related incidents. Manage incident and service request queues to meet SLAs and publish regular reports. Leverage … AI Ops tools to automate incident detection, root cause analysis, and performance optimisation. Maintain internal documentation, CMDB entries, and knowledgebase articles. Collaborate with cybersecurity teams to enhance cloud security posture. Apply and maintain Azure security policies aligned with ISO27001, NIST, CIS, Essential 8 and Cyber Essentials Plus. Provide guidance and training to colleagues transitioning from on-premise infrastructure roles More ❯

of the end-to-end engineering lifecycle, including data extraction, cleansing, transformation, and loading, ensuring accuracy and consistency. Creating and manage data pipelines, ensuring proper error handling, monitoring and performance optimizations Working in an agile environment, participating in sprint planning, daily stand-ups, and retrospectives. Conducting code reviews, provide constructive feedback, and enforce coding standards to maintain a high … Linux operating systems Familiarity with REST APIs and integration techniques You might also have: Familiarity with data visualization tools and libraries (e.g., Power BI) Background in database administration or performance tuning Familiarity with data orchestration tools, such as Apache Airflow Previous exposure to big data technologies (e.g., Hadoop, Spark) for large data processing Experience with ServiceNow integration More ❯

of the end-to-end engineering lifecycle, including data extraction, cleansing, transformation, and loading, ensuring accuracy and consistency. Creating and manage data pipelines, ensuring proper error handling, monitoring and performance optimizations Working in an agile environment, participating in sprint planning, daily stand-ups, and retrospectives. Conducting code reviews, provide constructive feedback, and enforce coding standards to maintain a high … Linux operating systems Familiarity with REST APIs and integration techniques You might also have: Familiarity with data visualization tools and libraries (e.g., Power BI) Background in database administration or performance tuning Familiarity with data orchestration tools, such as Apache Airflow Previous exposure to big data technologies (e.g., Hadoop, Spark) for large data processing Experience with ServiceNow integration More ❯

of the end-to-end engineering lifecycle, including data extraction, cleansing, transformation, and loading, ensuring accuracy and consistency. Creating and manage data pipelines, ensuring proper error handling, monitoring and performance optimizations Working in an agile environment, participating in sprint planning, daily stand-ups, and retrospectives. Conducting code reviews, provide constructive feedback, and enforce coding standards to maintain a high … Linux operating systems Familiarity with REST APIs and integration techniques You might also have: Familiarity with data visualization tools and libraries (e.g., Power BI) Background in database administration or performance tuning Familiarity with data orchestration tools, such as Apache Airflow Previous exposure to big data technologies (e.g., Hadoop, Spark) for large data processing Experience with ServiceNow integration More ❯

machine learning systems. Key Responsibilities: Rapid Prototyping: Collaborate with a multidisciplinary team to quickly develop and test proof-of-concept prototypes, validating research ideas in real-world, industrial environments. Performance Optimization: Perform detailed profiling and optimization of operating systems and large-scale distributed systems, leveraging a range of heterogeneous hardware (e.g., CPU, NPU) for enhanced performance. Research Publications: Transform … Technical Documentation: Create and maintain comprehensive technical documentation outlining research methods, design decisions, and implementation specifics to ensure reproducibility and support internal knowledge sharing. Stakeholder Engagement: Communicate research progress, performance insights, and key outcomes to internal stakeholders through clear and engaging presentations. Required: Bachelor's or Master's degree in Computer Science or a related technical field. Be comfortable …/or machine learning (NeurIPS, ICML, ICLR). Experience in the full lifecycle of developing, deploying, and maintaining large-scale cloud production systems, demonstrating expertise in scalability, reliability, and performance optimization. More ❯

machine learning systems. Key Responsibilities: Rapid Prototyping: Collaborate with a multidisciplinary team to quickly develop and test proof-of-concept prototypes, validating research ideas in real-world, industrial environments. Performance Optimization: Perform detailed profiling and optimization of operating systems and large-scale distributed systems, leveraging a range of heterogeneous hardware (e.g., CPU, NPU) for enhanced performance. Research Publications: Transform … Technical Documentation: Create and maintain comprehensive technical documentation outlining research methods, design decisions, and implementation specifics to ensure reproducibility and support internal knowledge sharing. Stakeholder Engagement: Communicate research progress, performance insights, and key outcomes to internal stakeholders through clear and engaging presentations. Required: Bachelor's or Master's degree in Computer Science or a related technical field. Be comfortable …/or machine learning (NeurIPS, ICML, ICLR). Experience in the full lifecycle of developing, deploying, and maintaining large-scale cloud production systems, demonstrating expertise in scalability, reliability, and performance optimization. More ❯

machine learning systems. Key Responsibilities: Rapid Prototyping: Collaborate with a multidisciplinary team to quickly develop and test proof-of-concept prototypes, validating research ideas in real-world, industrial environments. Performance Optimization: Perform detailed profiling and optimization of operating systems and large-scale distributed systems, leveraging a range of heterogeneous hardware (e.g., CPU, NPU) for enhanced performance. Research Publications: Transform … Technical Documentation: Create and maintain comprehensive technical documentation outlining research methods, design decisions, and implementation specifics to ensure reproducibility and support internal knowledge sharing. Stakeholder Engagement: Communicate research progress, performance insights, and key outcomes to internal stakeholders through clear and engaging presentations. Required: Bachelor's or Master's degree in Computer Science or a related technical field. Be comfortable …/or machine learning (NeurIPS, ICML, ICLR). Experience in the full lifecycle of developing, deploying, and maintaining large-scale cloud production systems, demonstrating expertise in scalability, reliability, and performance optimization. More ❯

machine learning systems. Key Responsibilities: Rapid Prototyping: Collaborate with a multidisciplinary team to quickly develop and test proof-of-concept prototypes, validating research ideas in real-world, industrial environments. Performance Optimization: Perform detailed profiling and optimization of operating systems and large-scale distributed systems, leveraging a range of heterogeneous hardware (e.g., CPU, NPU) for enhanced performance. Research Publications: Transform … Technical Documentation: Create and maintain comprehensive technical documentation outlining research methods, design decisions, and implementation specifics to ensure reproducibility and support internal knowledge sharing. Stakeholder Engagement: Communicate research progress, performance insights, and key outcomes to internal stakeholders through clear and engaging presentations. Required: Bachelor's or Master's degree in Computer Science or a related technical field. Be comfortable …/or machine learning (NeurIPS, ICML, ICLR). Experience in the full lifecycle of developing, deploying, and maintaining large-scale cloud production systems, demonstrating expertise in scalability, reliability, and performance optimization. More ❯