276 to 300 of 405 AI Jobs in Glasgow

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 ...

estate for observability using tools such as Datadog, CloudWatch, and Dynatrace, and use telemetry insights to support improvements to infrastructure hygiene Uses 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 … production environment Familiarity with production readiness practices including observability (metrics, tracing, logging) and incident management in distributed systems Working knowledge of using enterprise-authorized AI capabilities within the work environment to support software engineering workflows with strong validation habits and awareness of data sensitivity Ability to review and validate AI ...

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 ...

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 ...

. The successful candidate will have a strong GCP background and play a key role in cloud platform provisioning, infrastructure automation, Kubernetes engineering and AI-assisted DevOps . Key Responsibilities Design, implement and maintain cloud platform provisioning solutions, primarily across GCP , with the ability to work across AWS and Azure. … using Python and Terraform to improve infrastructure provisioning and operational processes. Implement and enhance automated deployment pipelines for cloud infrastructure and platform services. Utilise AI-assisted development tools, including GitHub Copilot and Claude Code , to improve development efficiency and code quality. Drive automation initiatives that reduce manual intervention and improve ...

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 ...

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 ...

Coherent Corp is the global leader in photonics, designing and manufacturing advanced laser, optical, and materials technologies. Our innovations power semiconductor manufacturing, AI infrastructure, advanced communications, and precision industrial systems worldwide. With a global footprint and cutting-edge manufacturing and R&D, we’re shaping the future of high-tech … will also play an important role in driving process improvements, enhancing reporting capabilities, and supporting ongoing legal operations transformation initiatives, including automation and AI-enabled solutions.This is an excellent opportunity for someone who enjoys combining operational excellence, financial administration, stakeholder management, and process improvement within a fast-paced, collaborative environment.What ...

Coherent Corp is the global leader in photonics, designing and manufacturing advanced laser, optical, and materials technologies. Our innovations power semiconductor manufacturing, AI infrastructure, advanced communications, and precision industrial systems worldwide. With a global footprint and cutting-edge manufacturing and R&D, we're shaping the future of high-tech … will also play an important role in driving process improvements, enhancing reporting capabilities, and supporting ongoing legal operations transformation initiatives, including automation and AI-enabled solutions. This is an excellent opportunity for someone who enjoys combining operational excellence, financial administration, stakeholder management, and process improvement within a fast-paced, collaborative ...

learning Scala will also be considered, as most of the codebase is written in Scala. Enterprise-level Scala development experience is preferred. Experience using AI tools such as Claude, Amp, Deep Search, or similar to accelerate the software development lifecycle while maintaining strong technical judgment and oversight. Understanding of message … essential: Understanding of global regulatory reporting requirements Knowledge of the Equity Derivatives Knowledge of Agile software development practices Database performance tuning Experience integrating AI-assisted development tools into a real engineering workflow WHAT YOU CAN EXPECT FROM MORGAN STANLEY: At Morgan Stanley, we raise, manage and allocate capital ...

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 ...

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 ...

usable, accessible, and scalableContribute to shared standards, reusable templates, and common components that improve consistency and accelerate delivery across the teamLeverages 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 automationRequired qualifications, capabilities, and skillsFormal training or certification on software engineering concepts and proficient applied ...

events exploring new and emerging technologies Foster a team culture of diversity, equity, inclusion, and respect through active collaboration and engagement 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 … frameworks Exposure to cloud technologies and cloud-native development patterns Knowledge of industry-wide technology trends and best practices across technical disciplines such as artificial intelligence, machine learning, and mobile Ability to work effectively within large, collaborative teams to achieve shared organizational goals Passion for building an innovative, inclusive engineering ...

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 ...

Remote | UK (London commute as required by client) | Full-TimeAbout the RoleOur client is a fast-growing Microsoft Partner operating at the forefront of AI enablement and intelligent business transformation. They work with enterprise clients across the UK to deploy practical AI solutions, build internal capability, and drive measurable business … outcomes across the full Microsoft AI stack. As they continue to scale their delivery function, they are looking for a Senior Power Platform Consultant to take a lead role in shaping and delivering AI-enabled solutions for clients across a range of sectors, including financial services.This is a client-facing ...