226 to 250 of 405 AI Jobs in Glasgow

drive awareness and use of new and leading-edge technologiesAdd to team culture of diversity, opportunity, inclusion, and respectDrive 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)In-depth knowledge of the financial services industry and their IT systemsPractical cloud-native experienceHands-on experience using enterprise-authorized AI ...

cloud environments. As a high-quality software engineer, you will design, develop, and optimize robust cloud infrastructure, collaborate with cross-functional teams, and leverage AI tooling to enhance quality and efficiency. Your contributions will drive innovation and support scalable, secure, and reliable cloud services. We have an exciting and rewarding … including continuous integration/continuous delivery, application resiliency, and security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Experience with DevOps and Site Reliability Engineering principles Preferred qualifications, capabilities, and skills Familiarity with VMware, OpenShift, Hyper ...

intelligent, cloud-native systems - and we want you to help lead the way. At JPMorganChase, you'll work at the intersection of software engineering, artificial intelligence, and cloud infrastructure, delivering solutions that matter at scale. This is an opportunity to grow your craft, shape engineering standards, and make a measurable … impact on how the firm builds and operates technology. As a Lead Software Engineer at JPMorganChase, you will own the delivery of complex, AI-powered software initiatives from discovery through production with minimal supervision. You will design and build intelligent systems leveraging large language models and agentic approaches, expose capabilities ...

leading-edge technologies Add to team culture of diversity, opportunity, inclusion, and respect Drive 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/root-cause … 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) In-depth knowledge of the financial services industry and their IT systems Practical cloud-native experience Hands-on experience using enterprise ...

inspiring Deloitte clients and prospective clients on the business issues that matter most to their strategic agendas. From leadership and workforce evolution, to AI and emerging technologies, to energy resilience and decarbonization, and beyond, Deloitte Insights (DI) publishes data-driven thought leadership for global C-suite and board-level executives … across industries.As a global senior editor and content strategist covering technology and AI for Deloitte Insights, you’ll work with AI and tech subject matter specialists, researchers, data science and visualization professionals, designers, video strategists, and production specialists to develop research and insights projects ranging from reports and articles ...

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 ...

published03-Sep-2026Req #24948Job descriptionConnect to your IndustryJoin our high-growth SAP+ Design & Innovation team at the forefront of how organisations harness cutting-edge AI to transform their SAP landscapes. Operating on a forward-deployed model, we work hands-on with the latest agentic AI frameworks, multi-agent orchestration … team, you'll shape solutions that reach well beyond the SAP ecosystem, positioning you at the centre of the firm's broader AI innovation agenda. If you are an experienced technology leader with deep hands-on expertise in AI engineering - someone who enjoys building high-performing teams, shaping client relationships ...

technical documentation and support knowledge sharing across the teamContribute to code quality through reviews, testing practices, and defect resolutionDrives 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 automationRequired qualifications, capabilities, and skillsFormal training or certification on software engineering concepts and advanced ...

technical documentation and support knowledge sharing across the teamContribute to code quality through reviews, testing practices, and defect resolutionDrives 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 automationRequired qualifications, capabilities, and skillsFormal training or certification on software engineering concepts and advanced ...

agile methodologies such as CI/CD, Application Resiliency, and SecurityKnowledge 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 MongoDBPreferred qualifications, capabilities, and skillsFamiliarity with modern front-end technologiesExposure ...

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 ...

conventional approaches to solve complex problems.Develop secure, high-quality production code, and review and debug code written by others.Drive 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.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.Identify opportunities to eliminate or automate remediation of recurring issues to enhance operational stability.Lead ...

test, and deploy software products using diverse technologies Ensure software quality, reliability, security, and performance through best practices Sets direction and governance for agentic AI-enabled engineering and SDLC/TLM automation within a technical area to drive measurable improvements in speed, quality, and operational outcomes (e.g., AI-orchestrated delivery … guardrails for validation, security, resiliency, traceability, and reuse across teams. 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 and support capacity unlock initiatives at scale Document issues and resolve bugs efficiently ...

Scientist at Barclays, where you'll be responsible for transforming complex data into actionable insights that drive strategic growth and innovation. You'll harness AI and advanced machine learning techniques to transform raw data into strategic insights that drive business decisions and competitive advantage. Required Skills Statistical analysis and modelling … Programming in Python - Ability to code in python and contribute to codebases Data Manipulation - Experience querying large datasets (SQL/Pyspark) Machine learning/AI expertise - Advanced knowledge of ML/AI algorithms and their applications Financial domain knowledge - Understanding of banking products, risk frameworks, and regulations Data visualization - Ability ...

build solutions or breakdown technical problemsCreates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systemsLeverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation … standards; 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 design ...

break down technical problems Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems 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 Produce architecture and design artifacts for complex applications while being accountable for ensuring ...

Title: Transformation Data & AI ArchitectDivision: IS&TLocation:UK/IndiaOnsite/Hybrid/Remote/ShiftPurpose of Role:Weir’s global SAP S/4HANA (S4+) transformation represents a once-in-a-generation opportunity to build the core business platforms that will support operational excellence and growth for the next … decade. As we modernise our enterprise applications across SAP and complementary systems such as Salesforce, Workday and Coupa, data and AI are fundamental to unlocking the full value of this transformation. The Transformation Data & AI Architect is a senior leadership role within the S4+ Programme, responsible for defining, governing ...

best practices for the development of secure, stable code and systemsContribute to a 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 … continuous integration/continuous delivery, application resiliency, and security practicesEmerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting ...

applying analytical reasoning and problem-solving techniques to break down business, technical, or operational 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 … recommendations before use, escalating when uncertain and following data handling expectations.Preferred qualifications, capabilities, and skillsExperience with dashboarding/analytics tools (e.g., Tableau, Alteryx or AI prompt based systems) to support program reporting, metrics, and executive insights. Prior experience working in or working closely with a governance, risk, controls, audit ...

standardising operating cadence (RAID, action/decision logs, dependency tracking), improving transparency, and mentoring other project/program managers where applicable. Uses enterprise-authorized AI capabilities within the work environment to accelerate program planning and risk synthesis (e.g., consolidating inputs into integrated plans, RAID, and executive-ready updates), validating outputs … handling data according to sensitivity requirements.Promotes reuse-first, AI-assisted practices for program governance and reporting, ensuring human review and alignment to delivery standards.Required Qualifications, Capabilities, and Skills Applied experience in technical program/project management, leading complex technology projects and programmes in a large organisation. Proactive, self-accountable, works ...

analytical reasoning and problem-solving techniques to break down business, technical, or operational 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 … escalating when uncertain and following data handling expectations. Preferred qualifications, capabilities, and skills Experience with dashboarding/analytics tools (e.g., Tableau, Alteryx or AI prompt based systems) to support program reporting, metrics, and executive insights. Prior experience working in or working closely with a governance, risk, controls, audit, or regulatory ...

estate for observability using tools such as Datadog, CloudWatch, and Dynatrace, and use telemetry insights to support improvements to infrastructure hygieneUses enterprise-authorized AI capabilities within the work environment to accelerate design comprehension and coding support (e.g., drafting unit tests and documentation), validating outputs and handling data according to sensitivity … near-production environmentFamiliarity with production readiness practices including observability (metrics, tracing, logging) and incident management in distributed systemsWorking knowledge of using enterprise-authorized AI capabilities within the work environment to support software engineering workflows with strong validation habits and awareness of data sensitivityAbility to review and validate AI-assisted code ...

maintain momentum and protect delivery timelinesCoordinate cross-functional releases across distributed engineering teams, ensuring technical readiness, stakeholder alignment, and smooth deploymentLeverage enterprise-authorized AI-assisted tools to streamline program reporting, enhance planning accuracy, and deliver clear, data-driven insights to senior stakeholdersBuild and maintain strong working relationships with senior leaders … across the United States and India, with an understanding of the coordination and communication practices that drive success in that modelExperience using enterprise-authorized AI and automation tooling to drive efficiency in program governance, reporting, and release managementJ.P. Morgan is a global leader in financial services, providing strategic advice ...

anomaly response. As the company implements its development roadmap, the distinction between these two aspects will blur with satellite operations increasingly transitioning to automated AI/ML tools to manage the fleet. The ideal candidate combines a rigorous, process-driven approach to software quality with an analytical mindset and operational … improve satellite operations tooling, improving Fault Detection, Isolation and Recovery (FDIR), increasing automation and raising the availability of the satellite fleet through transition to AI/ML based systems. Serve as the mission assurance interface to the operations team, software engineers, and systems engineers during anomaly investigations and resolution. Basic ...

JPMorganChase, we are building the infrastructure that powers the next generation of enterprise AI — and we need talented engineers who are passionate about LLM inference to help us do it. This is your opportunity to work at the intersection of cutting-edge machine learning and large-scale production systems, directly … contributing to how one of the world's largest financial institutions deploys and optimizes AI at scale. As a Lead Software Engineer at JPMorganChase within the AI/ML Data Platform team, you will be a key technical contributor on LLM inference performance — supporting optimization strategy, benchmarking, and efficiency ...