501 to 525 of 1,142 AI Jobs in Scotland

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 ...

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 ...

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 ...

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 ...

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 through ...

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 ...

permanently and without any restrictions. We are unable to offer visa sponsorship for this role. Please note that applicants may use AI tools to help draft and refine their CV or resume. However, AI must not be used to complete assessments or generate other application materials. Petrolink is an equal … opportunity employer. If you require a reasonable accommodation involving AI-enabled assistive technology at any stage of the application process, please contact HR via career@petrolink.com before applying. #J-18808-Ljbffr ...

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 ...

generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutionsthat support the firm’s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As a Senior Manager - SRE at JPMorgan … within the AIML Data Platforms and Chief Data and Analytics Team , you will lead a team of 3-7 SRE engineers and scale the AI/ML Data Platform, deliver advanced technology products focused on data and analytics. You will tackle complex cloud data platform challenges, especially around Data Lake ...

Amazon, Wise, HelloFresh (and more!) put their customers at the centre of everything they do. Using best-in-class tech in a fast-developing AI space, our Customer Experience Intelligence platform continuously analyses explicit and implicit feedback to enable our clients to identify what they should do next. … identify problems, prioritise effectively, and drive solutions forward. It would be a bonus if you: MSc/PhD in Computer Science, Machine Learning, Artificial Intelligence, Data Science, Computational Linguistics or a closely related STEM field. Experience with reinforcement learning techniques, such as with verifiable reward (RLVR) Our Hiring Process Company ...

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 ...

performance, customer outcomes and operational efficiency. Stay up to date with emerging research, technological advancements, industry standards and regulatory requirements relevant to machine learning, artificial intelligence and medical imaging. Share expertise and insights across the organisation, helping to foster innovation and promote best practices in machine learning and data science. … data science - essential; MS Azure Synapse – exposure) used in the development of machine learning, image analysis and software solutions. Demonstrated expertise in machine learning, artificial intelligence and data analytics, gained through academic research, commercial projects, publications or equivalent practical experience. Experience designing, developing and implementing algorithms for image processing, signal ...

industry-standard practices Advise cross-functional teams on technological matters within your domain Apply knowledge of tools within the Software Development Life Cycle, including AI-assisted development and automation Enhance automation at scale to improve value and efficiency Lead architectural decisions and engineering practices across multiple teams Collaborate with stakeholders … enterprise scale Expertise in Python and/or PySpark Knowledge of software application development and technical processes, with depth in disciplines such as cloud, AI/ML, or data engineering Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks ...

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. … 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 ...

Описание Barclays is a banking and financial services organization that transforms complex data into strategic assets supporting innovation, regulatory compliance, advanced analytics, and AI. Задачи Build and maintain data architecture pipelines for transferring and processing ...

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 ...

data centre, campus, branch, internet, SaaS, and hybrid environments. The role combines cloud networking, cloud security, internet edge services, platform engineering, network automation, and AI-enabled operations. You will play a key role in shaping the firm's multi-cloud networking strategy, Zero Trust architecture, Cloudflare edge services, Infrastructure … automation capabilities. This includes developing modern networking and security solutions, building automation platforms using Terraform, Python, APIs, and CI/CD pipelines, and exploring AI-driven and agentic approaches to improve network operations, investigations, and service delivery. This is an opportunity to influence enterprise-wide architecture, drive innovation, and help ...

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 … needing a further application. A reserve list may be held for up to 12 months, from which further appointments may be made. Use of Artificial Intelligence Artificial Intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken ...

WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human … qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy. ...

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 ...

Senior PowerBI Developer | Competitive Salary | Hybrid – Glasgow Join a market-leading SaaS business building AI-ready data products and transforming how organisations use data Are you an experienced BI professional who thrives on creating scalable, governed data models rather than simply building reports? Do you enjoy turning complex business questions … into reusable data products that power analytics, automation and AI? We are partnering with a high-growth SaaS organisation where data is central to their product strategy. With a strong Data Engineering function already in place, they're looking for a Senior Business Intelligence Developer to own the semantic layer ...