526 to 550 of 1,128 AI Jobs in Scotland

Software Developer- Generative AI -Hybrid, Glasgow, UKIf you're looking for a dynamic, fulfilling career with flexibility and a world-class employee experience, you'll find it here. We're recognized around the world for our inclusive, meaningful culture and innovative technologies by organizations like Fast Company, Forbes, Newsweek … team of talented engineers working collaboratively to improve and maintain a cutting edge, innovative platform enabling SAS’s internal stakeholders to use Generative AI in a secure, high-performing, lean, and scalable manner. You will contribute to building a platform used by a diverse set of technologies and industries. ...

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 ...

governance, risk management and continuous improvement. The post holder will also play a key role in the advancement of digital imaging technologies, artificial intelligence (AI) enabled solutions and innovation programmes, supporting the modernisation of imaging pathways, improving productivity and patient outcomes, and ensuring the service remains aligned with national ...

systems. European number one in cybersecurity and a leader in cloud, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is the brand under which Atos SE (Societas Europaea) operates. Atos SE listed on Euronext …/Portfolio Lead. This role is responsible for driving engineering-led innovation, building next-generation accelerators, architecting cutting‐edge GenAI and Agentic AI capabilities, and supporting the creation of differentiated IP for Atos’ global ServiceNow business. The R&D Engineering Lead works collaboratively with Portfolio Directors and Value Engineering Directors ...

team and products Engage with communities of practice across Software Engineering to learn about and adopt new and emerging technologies Leverage 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 Apply 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 Add to team culture of diversity, opportunity, inclusion, and respect Required Qualifications, Capabilities ...

contribute to a team culture that values diversity, opportunity, inclusion, and respect, fostering a positive and collaborative organizational environment.Drives 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 skillsComputer Science degree or equivalent expertisePractical cloud native experienceHands ...

Lloyds Banking Group is recruiting an AI Security Specialist to protect AI across our organisation, embedding security from the start. You’ll work at the Security Data & AI Lab, collaborating with engineering and data teams to build secure AI systems. The role requires proficiency in cyber security, AI technologies, cloud ...

business stakeholdersWrite and optimize SQL queries and data models to support reporting, analytics, and data-driven decision-making across credit risk platformsLeverage 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 automationProduce architecture and design artifacts for complex applications, ensuring design constraints are met throughout ...

solutions or breakdown technical problemsDevelops 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 … automated testing) and promoting reuse of effective patterns across the teamApplies 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 automationIdentifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational ...

team culture that values diversity, opportunity, inclusion, and respect, fostering a positive and collaborative organizational environment. Drives 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 … 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 Skills Computer Science degree or equivalent expertise Practical cloud ...

thinking, and a keen interest in applying advanced analytics to solve complex problems in finance and asset management. Job Responsibilities Design and implement agentic AI workflows that automate and streamline complex business processes. Design and apply advanced techniques such as semantic search, retrieval‐augmented generation (RAG), named entity recognition … efficacy and reliability. Communicate results effectively to business stakeholders through written reports, visualizations, and presentations. Stay current with the latest research in LLM, agentic AI, ML, and data science, and proactively identify and leverage emerging techniques to drive ongoing enhancement. Qualifications, Capabilities, and Skills Proven experience applying ...

Write and optimize SQL queries and data models to support reporting, analytics, and data-driven decision-making across credit risk platforms Leverage 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 Apply 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 Produce architecture and design artifacts for complex applications, ensuring design constraints ...

breakdown technical problems Develops secure and high-quality production code, and reviews and debugs code written by others Drives 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 … 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 ...

Lloyds Banking Group, we are transforming how we protect our customers, colleagues and services in an increasingly sophisticated threat landscape. The Security Data and AI lab within the Chief Security Office is at the forefront of this transformation - engineering data platforms and AI-driven capabilities that enable intelligent, proactive defence.We … leadership, influencing direction and delivering high-impact outcomes across a complex enterprise environment. You’ll operate at the intersection of data engineering, security and AI, defining and driving the data engineering strategy and roadmap, owning scalable data pipelines, embedding secure-by-design principles, and enabling production-grade data foundations ...

summaryThis is a Nationally based roleJob descriptionSummaryOur justice system faces serious challenges, from rising demand and staff shortages to siloed systems and inconsistent access. AI presents an opportunity to address these problems at scale. But this opportunity must be seized with care.The Justice AI Unit is a small, fast-moving … factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Please see our candidate guidance (opens ...

compliance with innovation. This is an opportunity to deliver impactful transformation while contributing to a collaborative, people-first consultancy. You'll also leverage approved AI tools and AI-enabled ways of working to improve insight, delivery efficiency, and decision-making while applying appropriate human judgement and responsible AI practices.What … DoLead or support advisory and transformation initiatives across financial crime, sanctions, and fraud, leveraging AI-enabled analysis and automation where appropriate to improve delivery and client outcomes.Deliver operating model redesigns, technology enablement, and cost optimisation across the three lines of defence, identifying opportunities to enhance efficiency through AI-enabled workflows ...

systems. European number one in cybersecurity and a leader in cloud, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is the brand under which Atos SE (Societas Europaea) operates. Atos SE listed on Euronext …/Portfolio Lead. This role is responsible for driving engineering-led innovation, building next-generation accelerators, architecting cutting‐edge GenAI and Agentic AI capabilities, and supporting the creation of differentiated IP for Atos' global ServiceNow business. The R&D Engineering Lead works collaboratively with Portfolio Directors and Value Engineering Directors ...

eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Sets strategy and operating standards for agentic AI-enabled engineering across a portfolio (using enterprise-authorized tools within the work environment) to drive measurable improvements in delivery speed, reliability, and code quality (e.g. … methodologies such as CI/CD, Application Resiliency, and Security Demonstrated 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 systems Demonstrated experience designing and scaling agentic AI-enabled ...

functional design documents, and test scripts across MarTech workstreams.Stay informed about emerging trends, platforms, and best practices in marketing technology, customer data platforms, and AI-driven marketing, contributing to our internal community of practice.Connect to your skills and professional experience To be successful in this role, you will need … such as AEP Business Practitioner, Salesforce Data Cloud Consultant, or business analysis qualifications such as BCS Business Analysis Practice.An understanding in the applications of AI and agentic technologies within marketing contexts.Confidence using AI tools and LLMs in day-to-day work — whether to support research, documentation, or the quality ...

frameworks to support global google cloud environments and ensure the highest level of SLOs through operational excellenceMastery of application, data, infrastructure, and Agentic AI disciplinesKeen understanding of financial control and budget management using expertise in working in partnership with colleagues throughout the firm, and in leading collaborative teams to achieve … common goalsUses enterprise-authorized AI capabilities within the work environment to accelerate major-incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirements.Provide support to develop & improve the quality of technical engineering documentationProvide technical supervision, oversight and problem resolution for engineering ...

frameworks to support global google cloud environments and ensure the highest level of SLOs through operational excellence Mastery of application, data, infrastructure, and Agentic AI disciplines Keen understanding of financial control and budget management using expertise in working in partnership with colleagues throughout the firm, and in leading collaborative teams … achieve common goals Uses enterprise-authorized AI capabilities within the work environment to accelerate major-incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirements. Provide support to develop & improve the quality of technical engineering documentation Provide technical supervision, oversight ...

frameworks to support global google cloud environments and ensure the highest level of SLOs through operational excellence Mastery of application, data, infrastructure, and Agentic AI disciplines Keen understanding of financial control and budget management using expertise in working in partnership with colleagues throughout the firm, and in leading collaborative teams … achieve common goals Uses enterprise-authorized AI capabilities within the work environment to accelerate major-incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirements. Provide support to develop & improve the quality of technical engineering documentation Provide technical supervision, oversight ...

project management skills, but a hands-on understanding of how investment firms run front to back. You'll also be expected to leverage approved AI tools, automation, and AI-enabled workflows to enhance project delivery, reporting, planning, and decision-making, while applying appropriate human judgement and governance throughout the project … change and migration projects across front office, operations, and technology functions.Deliver end-to-end regulatory or strategic change across multiple workstreams and stakeholders, using AI-enabled ways of working where appropriate to improve delivery efficiency and insight.Own project governance, tracking and reporting—ensuring transparency and proactive risk management, leveraging approved ...

closely with clients and delivery teams to bridge the implementation gap, assisting with architectural designs and transforming them into production systems using autonomous and AI-native platforms. This role requires a modern, hybrid engineering approach, blending infrastructure mastery with software development and data engineering principles. You will … Platform Engineering: Build and maintain independent, self-service developer platforms that allow engineering teams to spin up compliant, ephemer environments automatically using GitOps workflows. AI & Agentic Infrastructure: Implement the data pipelines, workflow orchestrations, and specialised compute footprints needed to support enterprise AI applications, using technologies like AWS Bedrock ...

through advanced analytics, and artificial intelligence. Atlassian is a global leader in these tools, linking real data on teams’ work to practical, in-context AI solutions. Our practice works with clients across all industries to assess, design, implement, optimise and operate world-class Atlassian-based work management systems, helping them … successful in this role:Strong knowledge of the Atlassian ecosystemDemonstrable expertise in Atlassian RovoExperience designing, delivering and demonstrating Atlassian-based solutionsStrong understanding of Artificial Intelligence concepts, trends and enterprise adoption considerationsExperience translating technical requirements into tangible roadmaps and plans Strong understanding of Software Development Lifecycle (SDLC), Agile delivery methodologies ...