651 to 675 of 1,118 AI Jobs in Scotland

knowledge with peers and newer team members while continuing to learn from seniorsAdds to team culture of diversity, opportunity, inclusion, and respectLeverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while … validating outputs through peer review, automated testing, and secure coding standards.Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automationRequired qualifications, capabilities, and skillsFormal training or certification on software engineering concepts and applied ...

drive improvements to coding hygiene and system architectureContribute to software engineering communities of practice and events that explore new and emerging technologiesLeverage enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while … validating outputs through peer review, automated testing, and secure coding standardsApply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automationAdd to team culture of diversity, opportunity, inclusion, and respectRequired qualifications, capabilities, and skillsProficient ...

distributed systems and modern UI/console experiences, improving operational excellence through automation, strong software development lifecycle discipline, and responsible use of enterprise-authorized AI-assisted engineering tools.Job responsibilitiesDesign and deliver robust full-stack solutions using Java/Spring Boot and React/TypeScript, applying strong engineering judgment to meet … leading incident response and root cause analysis, reducing repeat incidents via preventative controls and automation, and enhancing observabilityDrives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration ...

risks. Promote pragmatic engineering standards, automation and effective developer tooling. Improve developer experience through self-service capabilities and platform adoption. Support responsible adoption of AI-assisted software development, including coding assistants such as Claude. Help teams use AI for coding, testing, code reviews, troubleshooting and documentation. Facilitate workshops, communities … comparable platforms, APIs, containers and modern programming languages. Experience coaching and mentoring teams with different levels of maturity. Understanding of large language models and AI-assisted engineering. Excellent communication, facilitation and stakeholder-management skills. Desirable Platform engineering, Kubernetes or internal developer platforms. AI platforms, MLOps, prompt engineering or agentic workflows. ...

technical troubleshooting for problems of moderate complexityStrongly consider upstream/downstream data and systems or technical implications and advise on mitigation actionsLeverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while … validating outputs through peer review, automated testing, and secure coding standardsApplies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automationManage stakeholder relationships and the team's work in accordance with compliance standards, service ...

risks. Promote pragmatic engineering standards, automation and effective developer tooling. Improve developer experience through self-service capabilities and platform adoption. Support responsible adoption of AI-assisted software development, including coding assistants such as Claude. Help teams use AI for coding, testing, code reviews, troubleshooting and documentation. Facilitate workshops, communities … comparable platforms, APIs, containers and modern programming languages. Experience coaching and mentoring teams with different levels of maturity. Understanding of large language models and AI-assisted engineering. Excellent communication, facilitation and stakeholder-management skills. Desirable Platform engineering, Kubernetes or internal developer platforms. AI platforms, MLOps, prompt engineering or agentic workflows. ...

what's possible.As a Lead Software Engineer at JPMorganChase within the Commercial & Investment Bank, Payments Technology, you are an integral part of an AI-first team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor … evolves our flagship public repositories, including the agent skills and MCP server that let external developers drive JPMorgan Payments capabilities from their own AI toolingBuilds the paved road for external SDK and library publication under Open Source Governance, taking pilot products from internal repository to public package manager, and hardening ...

toolingOwn features throughout their lifecycle: discovery, design, implementation, rollout, telemetry, and operational supportTranslate ambiguous challenges into scalable platform capabilitiesDrives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy … automated testing) and promoting reuse of effective patterns across the team.Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.Partner with controls and audit stakeholders to implement effective, low-friction engineering controlsInfluence engineering ...

drive awareness and use of new and leading-edge technologiesAdds to team culture of diversity, opportunity, inclusion, and respectDrives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy … agile methodologies such as CI/CD, Application Resiliency, and SecurityDemonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)In-depth knowledge of the financial services industry and their IT systemsPractical cloud native experienceExperience in developing, debugging and automated ...

with other CTI Managers, the role merges strong CTI skills with responsibility for developing the Group's Threat Intelligence Platform (TIP) through automation and AI enrichment ensuring intelligence is embedded into security operations, technology, and stakeholder workflows. What you'll be doing You'll manage a small team … help develop and mature the Group's TIP as a strategic CTI capability. You’ll seek opportunities to improve CTI workflows using automation and AI, boosting intelligence speed, consistency, scalability, and accessibility. Collaborating with security teams and stakeholders, you'll make sure intelligence is part of operations, decision making ...

drive awareness and use of new and leading-edge technologiesAdds to team culture of diversity, opportunity, inclusion, and respectDrives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy … automated testing) and promoting reuse of effective patterns across the team.Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.Required qualifications, capabilities, and skillsProven experience in Adobe Experience Manager (AEM) development and implementation.Strong ...

AI & Power Platform Engineer Associate Manager/Manager Location: UK Level: Associate Manager Manager Practice: AI & Data Salary: £65,000 - £110,000 Were looking for an experienced AI & Power Platform Engineer to join a growing AI & Data practice, delivering complex, enterprise-scale solutions across Power Platform, Copilot Studio and Azure. … testers and senior stakeholders to deliver secure, scalable and user-friendly solutions. Key Responsibilities Build enterprise solutions using Power Apps, Power Automate, Dataverse and AI Builder. Develop Canvas and Model-driven applications. Design Dataverse data models, security roles and governance approaches. Build integrations using connectors, APIs and custom connectors. ...

AI & Power Platform Engineer Associate Manager/Manager Location: UK Level: Associate Manager Manager Practice: AI & Data Salary: £65,000 - £110,000 Were looking for an experienced AI & Power Platform Engineer to join a growing AI & Data practice, delivering complex, enterprise-scale solutions across Power Platform, Copilot Studio and Azure. … testers and senior stakeholders to deliver secure, scalable and user-friendly solutions. Key Responsibilities Build enterprise solutions using Power Apps, Power Automate, Dataverse and AI Builder. Develop Canvas and Model-driven applications. Design Dataverse data models, security roles and governance approaches. Build integrations using connectors, APIs and custom connectors. ...

AI & Power Platform Engineer Associate Manager/Manager Location: UK Level: Associate Manager Manager Practice: AI & Data Salary: £65,000 - £110,000 Were looking for an experienced AI & Power Platform Engineer to join a growing AI & Data practice, delivering complex, enterprise-scale solutions across Power Platform, Copilot Studio and Azure. … testers and senior stakeholders to deliver secure, scalable and user-friendly solutions. Key Responsibilities Build enterprise solutions using Power Apps, Power Automate, Dataverse and AI Builder. Develop Canvas and Model-driven applications. Design Dataverse data models, security roles and governance approaches. Build integrations using connectors, APIs and custom connectors. ...

looking for an experienced, hands-on Lead Automation Engineer to lead the design, development and operation of business, test and AI-enabled automation across Johnston Carmichael. Job Purpose: At Johnston Carmichael, the Lead Automation Engineer will lead the design, development and operation of business, test and AI-enabled automation. Working … business, you will turn opportunities into secure, resilient and supportable production solutions using tools such as UiPath, Microsoft Power Automate, Selenium, Playwright and approved AI services and APIs. Lead Automation Engineer will be responsible for (but not limited to): Lead Automation: Set technical direction and remain hands ...

consider. Any information you share on your application will be treated in confidence. Here at Softcat, we don't prohibit the use of AI (artificial intelligence) in our application process, as we understand how far it can go to creating a truly equitable candidate experience. That being said ...

commitments to diversity and inclusion at jobs.softcat.com/jobs/our-culture/Here at Softcat, we don't prohibit the use of AI (artificial intelligence) in our application process, as we understand how far it can go to creating a truly equitable candidate experience. That being said ...

peers and newer team members while continuing to learn from seniors Adds to team culture of diversity, opportunity, inclusion, and respect Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while … outputs through peer review, automated testing, and secure coding standards. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts ...

commitments to diversity and inclusion at jobs.softcat.com/jobs/our-culture/Here at Softcat, we don't prohibit the use of AI (artificial intelligence) in our application process, as we understand how far it can go to creating a truly equitable candidate experience. That being said ...

Exposure to observability tools (Prometheus, Grafana, Open Telemetry). - Scripting experience in Python for automation or data analysis. - Exposure to Prompt Engineering and Agentic AI - Interest in financial systems, accounting, or investment technology Our benefits To help you stay energized, engaged and inspired, we offer a wide range of employee … innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. Guidance on AI use for candidates At BlackRock, AI has long been part of how we work enhancing decision-making, improving operations, and helping us deliver better outcomes ...

problems of moderate complexity Strongly consider upstream/downstream data and systems or technical implications and advise on mitigation actions Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating … outputs through peer review, automated testing, and secure coding standards Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation Manage stakeholder relationships and the team's work in accordance with compliance standards ...

improve CI/CD for UI delivery (linting, automated tests, quality gates, build optimization, release automation) and reduce flaky tests. Use JPMorganChase-approved AI-assisted development tools (e.g., Claude AI where approved) to accelerate refactoring, feature changes, test generation, and documentation with rigorous human validation. Leverages enterprise-authorized AI coding … contributes learnings and reusable patterns to improve broader team effectiveness. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. Produces architecture and design artifacts for complex applications while being accountable for ensuring ...

modern API patterns.Develops secure and high-quality production code, and reviews and debugs code written by othersDrives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident … automated testing) and promoting reuse of effective patterns across the team.Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational ...

develop solutionsHelping Version 1 work on proposals with your technical skillsUse your expertise to provide some thought leadershipSignificant experience as a cloud/AI/ML solution architect designing production AI/ML platforms and workloads on AWS (or multi‐cloud with strong AWS depth).Deep understanding of AI/… research and prototype environments to enterprise‐ready architectures, balancing speed, robustness, and long‐term maintainability.Strong background in cloud security, networking, and cost optimisation for AI/ML workloads.Excellent stakeholder skills, able to translate business objectives and programme pressures into clear architectural decisions and technical direction for engineering teams.QualificationsEssential criteria:Experience ...

agile methodologies such as CI/CD, Application Resiliency, and Security Knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Experience of AI and full understanding of the SDLC process, and MongoDB Preferred qualifications, capabilities, and skills Familiarity with modern ...