1 to 25 of 91 Permanent Validation Jobs in Lanarkshire

libraries such as scikit-learn, XGBoost, PyTorch, TensorFlow or equivalent.Experience across the end-to-end ML lifecycle, including data preparation, feature engineering, model development, validation, deployment, monitoring and optimisation.Understanding of MLOps and production ML practices, including CI/CD, model versioning, automated testing, retraining, monitoring and reproducible delivery.Experience using cloud ...

forums.Leverages enterprise-authorized AI capabilities within the work environment to accelerate architecture analysis and decisioning across the product family, with human-in-the-loop validation and appropriate handling of sensitive data.Establishes reuse-first AI-enabled engineering patterns and governance across SDLC/toolchain practices, ensuring traceability/auditability, resiliency ...

continuous improvementDrive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while setting consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patternsApply software development lifecycle toolchain knowledge, including enterprise-authorized AI-assisted development and automation ...

communication skills, providing clear updates to stakeholders across levels.Strong collaboration skills across lines of business, with demonstrated use of enterprise-authorized AI and disciplined validation/data-sensitivity practices.Preferred qualifications, capabilities, and skillsExperienced in using Business Driven Development/Test Driven Development test methodology or test case automation.Experienced in using ...

skills, providing clear updates to stakeholders across levels. Strong collaboration skills across lines of business, with demonstrated use of enterprise-authorized AI and disciplined validation/data-sensitivity practices. Preferred qualifications, capabilities, and skills Experienced in using Business Driven Development/Test Driven Development test methodology or test case automation. ...

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 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 within ...

PyTorch, scikit-learn, XGBoost), including model selection, tuning, and evaluation.Experience implementing end-to-end machine learning workflows, including data preprocessing, feature engineering, model development, validation, and deployment to production environments.Familiarity with advanced AI techniques such as deep learning, natural language processing (NLP), computer vision, reinforcement learning, and Generative AI (e.g. ...

Airflow, or similar orchestration toolsExperience with relational databases and SQL; familiarity with NoSQL databases and data modeling conceptsKnowledge across the data lifecycle including ingestion, validation, transformation, storage, governance and lineage considerations, and consumption patternsAbility to develop, debug, and maintain code in large enterprise environments with established controls and standardsSolid understanding ...

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 within ...

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 ...

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 teamApply knowledge of tools within the Software Development Life Cycle ...

cross functional deployment tasks.Validation & Testing:Support the preparation and execution of user stories and test cases as defined by the Product Owner.Assist with validation activities, including system testing, user acceptance, and documentation.Record and report test results, defects, and improvement opportunities.Ongoing Support:Provide technical assistance to super users and functional teams ...

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, accelerated test strategy, incident/root-cause analysis support), while enforcing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns.Apply SDLC toolchain knowledge—including enterprise-authorized AI-assisted development and automation capabilities ...

diverse data access patternsApply 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 expectationsLeverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery ...

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 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 team.Apply knowledge of tools within the Software Development Life Cycle ...

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 ...

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 ...

technology, particularly wealth, private banking, or asset managementExperience with Databricks, Kubernetes, or comparable ML/cloud platformsExperience designing or contributing to AI governance, model validation, or guardrail frameworksFamiliarity with JPM-internal AI/ML infrastructure and governance for internal candidatesJ.P. Morgan is a global leader in financial services, providing strategic ...

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 ...

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 teamApply knowledge of tools within the Software Development Life Cycle ...

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 handling ...