176 to 200 of 405 AI Jobs in Glasgow

build alignment with senior stakeholders and maintain cohesive working partnershipsAbility to facilitate collaboration across multiple teams and manage competing prioritiesFamiliarity with artificial intelligence (AI) enabled product or software delivery, and implications for metadata usabilityPreferred qualifications, capabilities, and skillsHands-on experience in engineering or development within data management platformsIndustry-recognized certifications ...

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 … automated testing) and promoting reuse of effective patterns across the teamApply 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 ...

user experience across both on premise and public cloud environments. You will not only be a software engineer, but also an innovator - leveraging AI tooling and continuous improvement practices to drive quality and efficiency. Your deep knowledge of software engineering, experience with DevOps and Site Reliability Engineering principles, and passion … 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 Hands-on experience using enterprise-authorized AI-assisted software development tools within ...

solutions or break down technical problemsDevelops secure 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.Leads communities of practice across Software Engineering to drive awareness ...

solutions or break down technical problemsDevelops secure 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 … 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. Leads communities of practice across Software Engineering to drive awareness ...

platforms, and reviews and mentors other engineersCreates durable, reusable software frameworks and patterns that are leveraged across teams and functionsDesigns and governs agentic AI systems, including multi-agent workflows, tool-use integrations, and human-in-the-loop controls appropriate for regulated financial services environmentsEstablishes engineering standards for LLM-based applications … development methodologiesServes as the function's go-to subject matter expert in one or more areas of focus within data engineering, platform architecture, or AI systemsAdvises cross-functional teams on technological matters within your domain of expertiseInfluences leaders and senior stakeholders across business, product, and technology teams on technical strategy ...

platforms, and reviews and mentors other engineersCreates durable, reusable software frameworks and patterns that are leveraged across teams and functionsDesigns and governs agentic AI systems, including multi-agent workflows, tool-use integrations, and human-in-the-loop controls appropriate for regulated financial services environmentsEstablishes engineering standards for LLM-based applications … development methodologiesServes as the function's go-to subject matter expert in one or more areas of focus within data engineering, platform architecture, or AI systemsAdvises cross-functional teams on technological matters within your domain of expertiseInfluences leaders and senior stakeholders across business, product, and technology teams on technical strategy ...

reviews and mentors other engineers Creates durable, reusable software frameworks and patterns that are leveraged across teams and functions Designs and governs agentic AI systems, including multi-agent workflows, tool-use integrations, and human-in-the-loop controls appropriate for regulated financial services environments Establishes engineering standards for LLM-based … methodologies Serves as the function's go-to subject matter expert in one or more areas of focus within data engineering, platform architecture, or AI systems Advises cross-functional teams on technological matters within your domain of expertise Influences leaders and senior stakeholders across business, product, and technology teams ...

rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorganChase within the AI/ML and Data Platform, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products … operational excellence.Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.Leverages 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 ...

This is a senior leadership role combining enterprise IT, modern DevOps practice,andcloud transformation. As with all technology leadership roles,it’sessential to incorporateemerging AI capabilitiesinto the team’s work. You will define and deliver technology strategy, modernise infrastructure and platforms, mature DevOps practices, and embed AI as a core … critical part in transitioning IES away from traditional on-premises infrastructure,establishinga fully cloud-based,secureand scalable environment. You willsupportour ambition to become an AI-first organisationand will lead the effort to achieve that ambition within your own team What You’ll Do Define and deliver an integrated ...

rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorganChase within the AI/ML and Data Platform, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products … excellence. Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems. Leverages 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 ...

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 … 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 Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts ...

eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systemsSets 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., AI … 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 systemsDemonstrated experience designing and scaling agentic AI-enabled development ...

Role OverviewAs a Software Engineer III at JPMorganChase within the AI/ML Technology, you will be a hands-on engineer responsible for building and shipping production software with a strong focus on AI-enabled capabilities. You will work across the full software development lifecycle—from requirements clarification and design … multi-cloud environment using Terraform, Kubernetes, and CI/CD pipelines. This role offers you the opportunity to grow your expertise in applied AI engineering while contributing to systems that operate at enterprise scale.Key responsibilitiesDeliver software through a disciplined software development lifecycle, working from well-defined requirements through design, implementation ...

experience in large-scale data and asset modelling using Python, with particular expertise in Pydantic-based data modelling, schema definition and validation. Experience with AI-assisted development and agent orchestration tools is highly desirable, particularly where these technologies are used to accelerate high-quality software delivery. In this role …/unstructured data formats. Leverage in-memory databases and caching technologies where appropriate to support high-performance integrations, validation workflows and governance automation. Use AI-assisted coding and development tools responsibly to improve development productivity, code quality, documentation, testing and solution design. Review, validate and refine AI-generated outputs ...

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 ...

problems.Develop secure, high-quality production code; review and debug code written by others to ensure reliability, performance, and maintainability.Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, accelerated test strategy, incident/root … support), while enforcing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns.Apply SDLC toolchain knowledge—including enterprise-authorized AI-assisted development and automation capabilities—to increase the value and impact of automation.Identify recurring issues and lead efforts to eliminate root causes or automate remediation ...

secure, high-quality production code; review and debug code written by others to ensure reliability, performance, and maintainability. Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, accelerated test strategy, incident/root … while enforcing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns. Apply SDLC toolchain knowledge—including enterprise-authorized AI-assisted development and automation capabilities—to increase the value and impact of automation. Identify recurring issues and lead efforts to eliminate root causes or automate ...

Risk technology platform. You will bring advanced engineering expertise to a collaborative, high-performing team focused on building scalable, cloud-native applications that leverage artificial intelligence and machine learning to drive smarter risk decisions. Your work will directly support the firm's ability to assess, monitor, and manage credit risk … React to support wholesale credit risk workflowsLead the design and implementation of cloud-native solutions, ensuring high availability, performance, and security across distributed systemsIntegrate artificial intelligence and machine learning capabilities into risk technology platforms to enhance analytical and predictive functionsDrive end-to-end software development lifecycle activities, including design, development ...

This is a self-funded career programme with a guaranteed job on completion or 100% of your course fees back*Train. Certify. Get Hired. AI is expected to generate 170 million jobs by 2030 and at present experienced professionals can earn salaries of upwards of £66,000.In todays digital world … AI is transforming every aspect of our lives and is at the heart of modern technological advancements. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise. Newto Training's AI Engineer Career Programme is designed to help aspiring professionals gain the qualifications ...

Role Overview As a Software Engineer III at JPMorganChase within the AI/ML Technology, you will be a hands-on engineer responsible for building and shipping production software with a strong focus on AI-enabled capabilities. You will work across the full software development lifecycle-from requirements clarification … multi-cloud environment using Terraform, Kubernetes, and CI/CD pipelines. This role offers you the opportunity to grow your expertise in applied AI engineering while contributing to systems that operate at enterprise scale. Key responsibilities Deliver software through a disciplined software development lifecycle, working from well-defined requirements through ...

passionate about delivering technology that makes a real difference, this is the role for you.As a Senior Lead Software Engineer at JPMorganChase within the AI & ML Data Platforms team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products … code quality and maintainabilityAdvanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile)Ability to tackle design and functionality problems independently with little to no oversightPractical cloud native experience with a strong understanding ...

continuous integration/continuous delivery, application resiliency, and securityDemonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, Databricks, PySpark, 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 … interface frameworksExposure to cloud technologies including AWS, Databricks, and agentic AI solutionsKnowledge of industry-wide technology trends and best practices across disciplines such as artificial intelligence, machine learning, and mobile developmentJ.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent ...

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 opportunity … methodologies, including continuous integration/continuous delivery, application resiliency, and securityDemonstrated 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 principlesPreferred qualifications, capabilities, and skillsFamiliarity with VMware, OpenShift, Hyper-V, and bare metal ...

monitoring.Build and 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 … 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 ...