76 to 100 of 379 Validation Jobs in Scotland

data access patterns Apply reuse-first, AI-assisted practices to strengthen software development lifecycle quality routines for data pipelines (e.g., test generation and control validation), ensuring traceability, auditability, and alignment to resiliency and security expectations Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality ...

delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team. Applies knowledge of tools within the Software Development Life ...

Q100) of optoelectronic devices, preferably SPAD based ICs.Knowledge of SPAD pixel architecture and its integration in CMOS processes.Hands-on experience on opto-electrical validation and characterization is a plus.Familiarity with LIDAR systemsSummaryLocation: Edinburgh, United KingdomType: Full TimeExperience: Manager/SupervisorDepartment: Hardware Engineering ...

optoelectronic devices, preferably SPAD based ICs. Knowledge of SPAD pixel architecture and its integration in CMOS processes. Hands-on experience on opto-electrical validation and characterization is a plus. Familiarity with LIDAR systemsSummaryLocation: Edinburgh, United KingdomType: Full TimeExperience: Manager/SupervisorDepartment: Hardware Engineering ...

defects efficientlyBuild automation frameworks using Python, Git, and Pytest, while exploring AI-powered testing with Gen-AI and AI/ML tools to enhance validation processesContribute to test strategy, coverage, and risk-aware methodologies to strengthen quality assuranceDeliver high-quality features for AI Connect, data center, and next-generation service ...

Demonstrated experience using enterprise-authorized AI capabilities within the work environment to improve SRE workflows (e.g., incident investigation support and knowledge capture) with strong validation habits and awareness of data sensitivity. Ability to evaluate AI-assisted operational recommendations for correctness and risk, define appropriate guardrails for team usage, and ensure ...

Grafana.Demonstrated experience using enterprise-authorized AI capabilities within the work environment to improve SRE workflows (e.g., incident investigation support and knowledge capture) with strong validation habits and awareness of data sensitivity.Ability to evaluate AI-assisted operational recommendations for correctness and risk, define appropriate guardrails for team usage, and ensure outcomes ...

objectives into manageable tasks and activities. Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support program management workflows with strong validation habits and awareness of data sensitivity. Ability to review and validate AI-assisted plans, risks, and recommendations before use, escalating when uncertain and following data ...

Demonstrated experience using enterprise-authorized AI capabilities within the work environment to improve SRE workflows (e.g., incident investigation support and knowledge capture) with strong validation habits and awareness of data sensitivity. Ability to evaluate AI-assisted operational recommendations for correctness and risk, define appropriate guardrails for team usage, and ensure ...

delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.Applies knowledge of tools within the Software Development Life Cycle ...

platform engineering capabilities that improve consistency, reliability, and speed of delivery. Develop AI-enabled operational capabilities that support network investigation, incident response, change validation, observability, and workflow automation. Define architecture standards, engineering patterns, and technology roadmaps for enterprise-wide adoption. Partner with cloud, security, infrastructure, application, and operations teams globally. ...

delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team. Applies knowledge of tools within the Software Development Life ...

delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.Applies knowledge of tools within the Software Development Life Cycle ...

delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team. Applies knowledge of tools within the Software Development Life ...

create measurable value. Drives team adoption of enterprise AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team Contribute to the engineering community by advocating firmwide frameworks ...

delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.Applies knowledge of tools within the Software Development Life Cycle ...

delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.Apply knowledge of tools within the Software Development Life Cycle ...

delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team. Apply knowledge of tools within the Software Development Life ...

components where applicable, including chunking, embeddings, retrieval, and grounding strategies Build REST and gRPC endpoints following agreed contracts, implementing authentication and authorization integration, input validation, error handling, and secure data handling practices Implement SQL-backed business logic powering APIs and microservices, including joins, aggregations, filtering, pagination, and transactional workflows Contribute ...

delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the teamApplies knowledge of tools within the Software Development Life Cycle ...

delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the teamApplies knowledge of tools within the Software Development Life Cycle ...

generation components where applicable, including chunking, embeddings, retrieval, and grounding strategiesBuild REST and gRPC endpoints following agreed contracts, implementing authentication and authorization integration, input validation, error handling, and secure data handling practicesImplement SQL-backed business logic powering APIs and microservices, including joins, aggregations, filtering, pagination, and transactional workflowsContribute ...

delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain. Applies knowledge of tools ...

cloud platforms such as AWS, including services like Lake Formation or Data Lake environments. Scripting skills (for example, Python or Shell) to support data validation, automation, or analysis. Familiarity with database systems, including relational (Oracle, SQL Server, PostgreSQL, MySQL), columnar (Amazon Redshift, Snowflake), and/or NoSQL (MongoDB, Cassandra). ...

delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the teamApplies knowledge of tools within the Software Development Life Cycle ...