326 to 350 of 524 AI Jobs in Glasgow

high quality service across our four business lines to our customers. Working in our Enabling Functions is fast paced and continuously evolving with Digital, AI adoption and integrated Data at the heart of enabling what we do. This role is aligned to our IT function and focused on supporting … systems landscape at Deloitte that is constantly evolving. Our roadmap includes plans for further modules of SuccessFactors to enhance our overall solution alongside exciting AI developments and delivering People Insights through our Data.If you like change and thrive in a fast-paced working environment, then this may be your opportunity ...

This involves working with multi-disciplinary teams across user research, service design, solutions, architecture, and agile development to create intuitive and effective public services. AI-Powered Citizen Engagement: You will support the integration of AI into citizen-facing services, helping develop solutions that enhance interactions through intelligent automation, next best … digital journeys that are easy to navigate and highly accessible.Data-driven delivery: You will support data-driven delivery by using insights, forecasting, tooling, and AI to improve delivery efficiency and inform better decision-making. Key Responsibilities As a Technical Delivery Manager, you will lead and support delivery teams, focusing ...

complex, real-world applications. This is an exciting opportunity for an experienced engineer to work on challenging perception and intelligence problems, applying techniques across AI, computer vision, image processing, and statistical modelling. You will play a key role in developing algorithms that enable systems to better detect, interpret, and respond … team. Keep up to date with emerging developments in AI, machine learning, and computer vision. Experience Required Degree or equivalent experience in Computer Science, Artificial Intelligence, Engineering, Mathematics, Physics, or a related discipline. Proven experience developing machine learning or computer vision algorithms for production or near-production environments. Strong understanding ...

time visibility.If you are analytical, self-directed and energised by building things from scratch and you have an interest in how modern tooling and AI can make programme delivery smarter, this role is for you.What You'll Do: Maintain programme schedules across the portfolio, including baseline management, critical path analysis … engineering, finance and programme teams and communicate clearly with technical and non-technical stakeholders alikeGenuine curiosity about how project management platforms, data tools and AI can make delivery smarter, with a willingness to learn and experimentPreferred Skills: Exposure to AI tools and/or data platforms such as Databricks ...

software engineers on daily tasks and activitiesSets the overall guidance and expectations for team output, practices, and collaborationLeads team adoption of enterprise-authorized AI-assisted engineering practices and SDLC/TLM automation to improve delivery speed, quality, and operational outcomes, while setting expectations for human validation, secure handling of inputs …/outputs, and consistent use of reusable patterns 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.Anticipates dependencies with other teams to deliver products and applications ...

solve issues quickly to avoid financial losses Documents and shares knowledge within your organization via internal forums and communities of practice 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 … security requirements. Leads reuse-first adoption of AI-assisted reliability workflows across SDLC/toolchain practices (e.g., CI/CD quality checks, test/validation automation, and operational readiness), ensuring traceability/auditability, resiliency, and security controls. Required qualifications, capabilities, and skills Formal training or certification on site reliability engineering ...

impactApply deep technical expertise within one or more technical domains, sharing knowledge and providing guidance to peers across the teamDrive reuse-first adoption of AI-assisted reliability workflows across the software development lifecycle and toolchain practices (e.g., continuous integration/continuous delivery quality checks, test and validation automation, and operational … readiness), ensuring traceability, auditability, resiliency, and security controlsUse 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 requirementsRequired qualifications, capabilities, and skillsFormal training or certification on site reliability engineering concepts ...

deep technical expertise within one or more technical domains, sharing knowledge and providing guidance to peers across the team Drive reuse-first adoption of AI-assisted reliability workflows across the software development lifecycle and toolchain practices (e.g., continuous integration/continuous delivery quality checks, test and validation automation, and operational … readiness), ensuring traceability, auditability, resiliency, and security controls Use 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 Required qualifications, capabilities, and skills Formal training or certification on site ...

choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance.About Capgemini:Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. ...

innovate, this is your chance to thrive.Job Summary:As a Lead Software Engineer in Prime Finance Services, you will architect and deliver cutting-edge, AI-driven workflows and solutions that add value to our business. You’ll work as part of a global team, enhancing and building trusted technology products … culture of creativity and inclusion while tackling large-scale engineering challenges.Job Responsibilities:Execute creative software solutions, design, development, and technical troubleshootingLead with an AI-driven approach in daily tasksSpearhead the design and development of real-time, mission-critical trading platforms using JavaTackle large-scale engineering challenges with technologies like KafkaInnovate ...

agile methodologies, including CI/CD, application resiliency, and security. Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, AI, machine learning, mobile). Ability to solve data‐oriented problems using technologies such as SQL, relational databases, Spark, and NoSQL. Preferred Qualifications, Capabilities, and Skills … Additional formal training or certification in software engineering concepts. Exposure to AI tools and technologies for software development. Experience with Spark performance tuning for complex calculations on large datasets. Experience delivering production changes to complex software using Scala and Spark. If you’re ready to lead, innovate, and make ...

will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.Join us as an AI Product Manager at Barclays where you'll be primarily responsible for planning, delivering, and managing AI-driven products or features, with a great focus … roadmaps, prioritisation, and execution. You will translate business needs into product requirements, leveraging your understanding of AI fundamentals, data analytics, and market insights to support product development. Working closely with stakeholders, you’ll coordinate delivery using tools like Jira while building robust relationships and ensuring clear communication. You’ll play ...

minimal supervision.The successful candidate will contribute to the continuous improvement of quality engineering practices, test automation capabilities, and the adoption of innovative technologies, including AI-assisted testing approaches.Role accountabilities:· Collaborate with project teams and stakeholders to understand requirements, identify risks and define appropriate test approaches.· Produce test estimates and contribute … automated test suites and supporting frameworks using Playwright and TypeScript.· Identify opportunities to improve quality, efficiency and coverage through automation, tooling, process improvements and AI-assisted solutions.Qualifications & Experience:· Bachelor’s degree in Computer Science, Information Technology, or equivalent practical experience.· 5+ years of experience in software quality assurance.· Strong communication ...

minimal supervision.The successful candidate will contribute to the continuous improvement of quality engineering practices, test automation capabilities, and the adoption of innovative technologies, including AI-assisted testing approaches.**Role accountabilities:**· Collaborate with project teams and stakeholders to understand requirements, identify risks and define appropriate test approaches.· Produce test estimates … automated test suites and supporting frameworks using Playwright and TypeScript.· Identify opportunities to improve quality, efficiency and coverage through automation, tooling, process improvements and AI-assisted solutions.**Qualifications & Experience:**· Bachelor’s degree in Computer Science, Information Technology, or equivalent practical experience.· 5+ years of experience in software quality assurance.· Strong ...

have experience with geospatial applications such as ArcGIS Pro, QGIS, ArcGIS Online or ArcGIS Enterprise.You can apply spatial analysis, modelling or AI-enabled workflows, including machine learning, Earth Observation, constraint analysis, route optioneering or site suitability.You are confident working with data engineering and cloud platforms such as Python, SQL, Databricks … reproducible tools for large spatial datasets and enterprise geospatial systems.You are able to translate business or engineering needs into robust spatial, analytical and AI-enabled workflows.You have a relevant degree, such as GIS, Remote Sensing/Earth Observation, Geography, Geoinformatics, Computer Science, Data Science or Environmental Science, or equivalent industry ...

application development teams to reduce complexity, improve platforms, and help developers get more from their tools. We're especially interested in someone enthusiastic about AI use cases across the SDLC, including engineering productivity, automation, and infrastructure management, with the ability to understand developer pain points and turn ambiguous or fast … tooling Partner with engineering teams and stakeholders to identify friction, set direction, and deliver platform improvements that matter Drive adoption of modern automation and AI-enabled workflows across software delivery and platform operations Bring clarity and momentum in ambiguous environments where priorities, requirements, and technologies continue to evolve Influence standards ...

help in designing, developing and managing cloud platform provisioning solutions with a primary focus on GCP, while driving infrastructure automation, Kubernetes platform engineering, and AI‐assisted DevOps practices. Location: Glasgow. Hybrid Duration: 6 months initially (with potential extension) Contract Start Date: Immediate Key Responsibilities Design, implement and maintain platform provisioning … using Python and Terraform to streamline infrastructure provisioning and operational processes. Implement and enhance automated deployment pipelines for cloud infrastructure and platform services. Leverage AI‐assisted coding tools such as GitHub Co‐Pilot and Claude Code to improve development efficiency and code quality. Drive automation initiatives to reduce manual intervention ...

scale financial and risk data sets, with attention to performance, data integrity and regulatory control requirements. Work with APIs, JSON, YAML and SQL, using AI-assisted coding tools responsibly to improve delivery, reviewing all outputs for security, compliance and maintainability. Required Skills and Experience Strong Python development skills with … data. Knowledge of data architecture and modern engineering practices including Git-based development, code review, automated testing and CI/CD concepts. Experience using AI-assisted development tools such as GitHub Copilot, ChatGPT, Claude or Cursor, with the ability to validate and productionise generated outputs responsibly. Good to Have Understanding ...

reporting directly to the CTO/Portfolio Lead. 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. Strategic Impact Drive the technical innovation engine for the global ServiceNow business … aligned to portfolio strategy. Build reusable frameworks, accelerators, AI‐powered components, and IP that enhance competitive differentiation. Lead R&D initiatives exploring GenAI, Agentic AI, automation, integration patterns, and emerging ServiceNow capabilities. Strengthen Atos’ positioning with ServiceNow through technical excellence, joint innovation, and prototype delivery. Enable faster time‐to‐market ...

perfect software engineering opportunity for you. If you thrive in collaborative environments, champion continuous learning, and are excited about the evolving possibilities of AI, we'd love to hear from you.As a Lead Software Engineer at JPMorganChase within Corporate Technology, you are an integral part of an agile team that … 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 experienceFamiliarity with modern front-end technologiesDemonstrated ...

participate in events exploring new and emerging technologiesFoster a team culture of diversity, equity, inclusion, and respect through active collaboration and engagementLeverages 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 … user interface frameworksExposure to cloud technologies and cloud-native development patternsKnowledge of industry-wide technology trends and best practices across technical disciplines such as artificial intelligence, machine learning, and mobileAbility to work effectively within large, collaborative teams to achieve shared organizational goalsPassion for building an innovative, inclusive engineering cultureJ.P. Morgan ...

Role AI Application consultant – Scottish Power Summary • Hybrid Role • Competitive rate umbrella or PAYE • Initial 12-month contract • Glasgow based The post holder is accountable for delivering rapid, practical AI solutions aligned to business needs, working closely with stakeholders and delivery partners to ensure solutions are implemented effectively and deliver … measurable value Expectations • Propose, plan, coordinate and deliver AI applications with full ownership of scope, timeline, cost and quality • Deliver rapid AI solutions from problem definition through to operational deployment • Design, develop and deploy practical AI solutions focused on real business challenges • Support knowledge sharing and capability building • Engage directly ...

teamFoster a culture of diversity, equity, inclusion, and respect, creating an environment where every team member can thriveDrives 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 … 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 Skills:Formal training or certification on software engineering concepts ...

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 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 ...

lifecycle through strong engineering practices and code standardsContribute to technical direction by setting and modeling high standards for design, development, and testingLeverages 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 automations Required qualifications, capabilities, and skillsFormal training or certification on software engineering concepts ...