101 to 125 of 232 AI Jobs in Lanarkshire

integrations with database and ETL platforms.Build self-service capabilities, operational dashboards, workflow automation, and metadata-driven solutions using modern web technologies and microservices architectures.Develop AI-driven solutions to discover, classify, and protect sensitive information within unstructured data, leveraging advanced natural language processing and automated data masking techniquesDesign and build automations … asynchronous solutions. Experience with distributed computing tools (such as Apache Spark for Python) is a plus.Good to have experience in designing and developing AI-powered solutions using Large Language Models (LLMs), retrieval-augmented generation (RAG), and agentic workflows.Extensive experience building and optimizing data pipelines and data architectures (preferred using Talend ...

senior Python engineer who wants to work at the intersection of data platforms and applied AI? This is your opportunity to join a small, high-impact team building something new from the ground up — where your decisions shape the architecture, not just the backlog. At JPMorganChase, we invest in engineers … will be a founding contributor to the Context Plane — a greenfield platform that connects the firm's data mesh and knowledge sources to AI agents and large language model tools. You will own components end-to-end, from ingestion pipelines to governed retrieval services, and your engineering instincts will directly ...

world's most influential companies.As an AI Research Engineer - Vice President at JPMorgan Chase within the International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) Team, you will lead applied research that positions the team for capabilities we will need over the coming years. You will evaluate … recruiting and thought-leadership magnetChampions the firm's culture of diversity, Opportunity, inclusion, and respectRequired qualifications, capabilities, and skillsFormal training or certification on artificial intelligence and machine learning concepts and applied experienceAdvanced proficiency in Python and the modern ML/DL stack (e.g., PyTorch, Hugging Face)Hands-on experience evaluating ...

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 ...

description Connect to your IndustrySAP+ Design & Innovation Join a high-growth SAP+ Design & Innovation team that’s shaping how organisations harness cutting edge AI technology to transform their SAP landscapes. This role sits at the heart of innovation within SAP consulting, working with the latest AI agent frameworks, large language … digital transformation journeys. This is more than a delivery role. You’ll work closely with clients and project teams to design and implement intelligent AI-powered solutions that augment SAP implementations, influence how organisations operate, and see your work make a real, measurable impact. You’ll be part ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

improve the team and productsEngage with communities of practice across Software Engineering to learn about and adopt new and emerging technologiesLeverage 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 standardsApply 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 automationAdd to team culture of diversity, opportunity, inclusion, and respectRequired Qualifications, Capabilities, and Skills:Formal ...

distributed systems and modern UI/console experiences, improving operational excellence through automation, strong software development lifecycle discipline, and responsible use of enterprise-authorized AI-assisted engineering tools.Join a team where your engineering contributions directly impact how we serve clients and drive innovation at scale. At JPMorganChase, you will have … datasets, logs, and telemetry to identify patterns, build visualizations and reporting, and reduce repeat incidents via preventative controls, automation, and enhanced observabilityLeverages 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 ...

Software Developer- Generative AI -Hybrid, Glasgow, UKIf you're looking for a dynamic, fulfilling career with flexibility and a world-class employee experience, you'll find it here. We're recognized around the world for our inclusive, meaningful culture and innovative technologies by organizations like Fast Company, Forbes, Newsweek … team of talented engineers working collaboratively to improve and maintain a cutting edge, innovative platform enabling SAS’s internal stakeholders to use Generative AI in a secure, high-performing, lean, and scalable manner. You will contribute to building a platform used by a diverse set of technologies and industries. ...

contribute to a team culture that values diversity, opportunity, inclusion, and respect, fostering a positive and collaborative organizational environment.Drives 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. Required qualifications, capabilities, and skillsComputer Science degree or equivalent expertisePractical cloud native experienceHands ...

business stakeholdersWrite and optimize SQL queries and data models to support reporting, analytics, and data-driven decision-making across credit risk platformsLeverage 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 standardsApply 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 automationProduce architecture and design artifacts for complex applications, ensuring design constraints are met throughout ...

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 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 automationIdentifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational ...