801 to 825 of 1,117 AI Jobs in Scotland

Social Media Firm - Glasgow (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Programmer, Full Stack Engineer, Architect, .NET Developer) Our client is on a quest to transform how people discover, view and share content by combining … client can provide you with industry recognized training in: .NET 10.0, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Bootstrap and MongoDB. Our client has a flat organization, which means that they believe great ideas can come from anywhere and anyone. From the beginning they ...

security vulnerabilities; support audit remediation efforts Operate with a dry-run-first, confirm-before-modify, audit-everything approach on production systems Design and maintain AI developer tooling, including prompt engineering and LLM-assisted code generation Required Qualifications, Skills, And Capabilities Proficiency in Python, including type annotations, context managers, generators … multi-stage data processing pipelines (graph-based, batch, or streaming) Understanding of security best practices, including input validation and vulnerability remediation Experience with agentic AI and prompt engineering, including LLM-based developer agents and workflow orchestration Preferred Qualifications Background in financial services, derivatives pricing, market data, or valuation concepts Experience ...

successful candidate will possess a proven ability to build relationships with senior customer stakeholders, understand their needs and to close large, complex deals encompassing AI, digital, data, cloud and managed services. Based on this experience through your own career, you will be able to lead and coach a team … within a Private Equity ownership environment is an advantage.Experience in sales roles as both an individual contributor and leader, selling technology services such as AI, Software Engineering, Application Modernisation, Cloud Transformation, Data & Digital Services to customers in the financial services sector.A detailed understanding of outsourced managed services is also required.Adept ...

development lifecycle (SDLC) and demonstrable depth and breadth across at least 2 of these domains: Applications, Data, DevOps, Enterprise Architecture, Infrastructure, Machine Learning/AI, Platforms, Security, Integration, Business Architecture.Experience working with financial services applications such as core banking, document management, CRM, workflow/business process management and finance platforms … working with relevant applications including treasury solutions, trading solutions, market research platforms. Demonstrated experience of using new generation technology for digital banking clients e.g., AI for onboarding; leveraging cloud technologies such as Banking as a Service, adoption of data analytics for risk assessment and predictive analytics on customer behaviour ...

development lifecycle (SDLC) and demonstrates depth and breadth in at least 6 of these domains: Applications, Data, DevOps, Enterprise Architecture, Infrastructure, Machine Learning/AI, Platforms, Security, Integration,Business Architecture or equivalent.Demonstrated experience in large-scale transformation programmes in Banking and Capital Markets.Experience in providing advisory services to Board-level … equivalent.Experience working with relevant applications including treasury solutions, trading solutions, market research platforms.Demonstrated experience of using new generation technology for digital banking clients e.g., AI for onboarding; leveraging cloud technologies such as Banking as a Service, adoption of data analytics for risk assessment and predictive analytics on customer behaviour ...

development lifecycle (SDLC) and demonstrates depth and breadth in at least 6 of these domains: Applications, Data, DevOps, Enterprise Architecture, Infrastructure, Machine Learning/AI, Platforms, Security, Integration,Business Architecture or equivalent.Demonstrated experience in large-scale transformation programmes in Banking and Capital Markets.Experience in providing advisory services to Board-level … equivalent.Experience working with relevant applications including treasury solutions, trading solutions, market research platforms.Demonstrated experience of using new generation technology for digital banking clients e.g., AI for onboarding; leveraging cloud technologies such as Banking as a Service, adoption of data analytics for risk assessment and predictive analytics on customer behaviour ...

Company DescriptionVersion 1 has celebrated 30 years in business and continues to be trusted by global brands to deliver technology and transformation solutions that drive customer success. Our deep expertise enables our customers to navigate ...

compliance at the heart of our engineering and platforms. This is an opportunity to lead at the intersection of infrastructure engineering, identity security, and AI—shaping how teams across the firm build and govern technology at scale.As a Principal Software Engineer at JPMorganChase within Infrastructure Platforms Engineering & AI Practices … that our platforms and applications define and leverage patterns and solutions consistently to meet evolving requirements for infrastructure identity and security requirements in an AI-enabled environment.This role is suited to a senior engineer who has hands-on skills to lead across multiple teams—defining architecture, engineering practices and standards ...

compliance at the heart of our engineering and platforms. This is an opportunity to lead at the intersection of infrastructure engineering, identity security, and AI shaping how teams across the firm build and govern technology at scale. As a Principal Software Engineer at JPMorganChase within Infrastructure Platforms Engineering & AI Practices … that our platforms and applications define and leverage patterns and solutions consistently to meet evolving requirements for infrastructure identity and security requirements in an AI-enabled environment. This role is suited to a senior engineer who has hands-on skills to lead across multiple teams defining architecture, engineering practices ...

artifacts while improving software quality and reliability across enterprise systems. You will apply Python, Databricks, and AWS expertise in an agile environment, contributing to AI-driven tooling, automation, and secure coding practices to support busy finance #J-18808-Ljbffr ...

temporary professionals, fostering workplaces where everyone can contribute and succeed. On behalf of Computershare, we are looking for a Technical Business Analyst (Fraud & AI Transformation) for a 12 Months contract based in Edinburgh (Hybrid - 3 times per week in the office). Join us as a Technical Business Analyst (Fraud … AI Transformation) Join a high-profile Fraud & AI Transformation programme focused on modernising fraud detection, investigation, and monitoring capabilities acrossaleadingfinancialservicesorganisation.You'llworkattheintersectionoffraudoperations,data,andtechnology,translatingcomplexfraudusecasesintodata-drivenandAI-enabledsolutionsthatimproveoperationaleffectivenessanddecision-making. Your key responsibilities will include: Analyse existing fraud monitoring, alert management, and investigation processes to identify automation and AI enhancement opportunities. Translate fraud ...

security, and performanceDrive the adoption and continuous improvement of CI/CD pipelines, enabling faster, more reliable software deliveryDrives 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 automationCollaborate with cross-functional teams including product, architecture, and business stakeholders to translate requirements ...

intersection of Machine Learning and Security. Our mission is to develop forward-looking solutions - such as model protection, privacy-preserving ML, security for agentic AI, and anomaly detection that will later be integrated into our Edge products. This requires high-level innovation skills combined with a hands-on mindset. … passionate about building secure AI systems, exploring new ideas, and turning concepts into prototypes, this role is for you: Define strategies and implement solutions for protecting ML models and sensitive data during deployment. Focus areas include IP protection, privacy-preserving inference, and resilience against adversarial manipulation. Responsibilities Design and implement ...

minimal directionCommunicate delivery progress, risks, and technical decisions clearly to stakeholders including business analysts, product managers, and technology partnersDrives 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 automationRequired qualifications, capabilities, and skillsFormal training or certification on software engineering concepts and advanced ...

efficiently Contribute to the evolution of the team’s technology strategy by evaluating emerging tools and frameworks 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 acceleration … 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 Skills Proven ability to autonomously own complex engineering deliverables ...

stakeholders. A bachelor’s degree is required; an MBA or master’s degree in a related field is preferred but not required. Experience with AI: Adobe and the B2B Expansion team are leaning heavily into AI to drive productivity and deliver more value to our customers. We’re looking … candidate who has experience building or working with AI-powered features or products, along with a strong interest in continuing to learn and grow in this area. About AdobeAdobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading ...

breakdown technical problems Develops secure and high-quality production code, and reviews and debugs code written by others 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 … 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 ...

performance Drive the adoption and continuous improvement of CI/CD pipelines, enabling faster, more reliable software delivery 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 … 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 Collaborate with cross-functional teams including product, architecture, and business stakeholders to translate ...

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 ...

what's possible. As a Lead Software Engineer at JPMorganChase within the Commercial & Investment Bank, Payments Technology , you are an integral part of an AI-first team that works to enhance, build, and deliver trusted market‐leading technology products in a secure, stable, and scalable way. As a core technical … evolves our flagship public repositories, including the agent skills and MCP server that let external developers drive JPMorgan Payments capabilities from their own AI tooling Builds the paved road for external SDK and library publication under Open Source Governance, taking pilot products from internal repository to public package manager ...

coding hygiene and system architecture Contribute to software engineering communities of practice and events that explore new and emerging technologies 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 Add to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities ...

Trade. Reporting directly to the CIB Chief Operating Officer, this high-profile role brings together operational planning, performance, control, process excellence, automation and AI readiness into a single development agenda. This is an opportunity to shape how Operations evolves to support future growth, helping define the operating model, ways … Operations Development Strategy: Shape and lead the Operations development agenda, building a single roadmap across operational excellence, workforce planning, performance, process intelligence, automation and AI-enabled capability to deliver against productivity and efficiency targets. Capacity, Demand & Workforce Planning: Develop the operating model, forecasting and workforce planning capability needed to support ...

What You’ll DoWe are seeking a Solutions Engineer – Cloud + AI Infrastructure to join our sales team in the UK&I. In this role you will help drive the adoption of Cisco's data center, cloud, and AI-ready infrastructure solutions across industries. You will partner with customers … trusted technical advisor to customers. You should be comfortable translating technical concepts for diverse audiences and public speaking.Who You’ll Work WithThe Cloud + AI Infrastructure team delivers one scalable strategy with local execution for data center transformation and growth. We are the worldwide go-to-market compute and data ...

Multiverse is an upskilling platform transforming AI and tech adoption, partnering with 1,500+ companies. We’re building an AI-first product, redefining how teams work and scale. The AI Transformation team drives the next wave of growth, rebuilding how the company operates and delivering market-ready AI-enabled solutions. … will join a high-velocity, cross-functional squad collaborating closely with engineering on a customer-facing product, shaping Multiverse’s future in the AI era. #J-18808-Ljbffr ...

lead a 3-7 person SRE team within the AIML Data Platforms and Chief Data and Analytics Team. The role focuses on scaling the AI/ML data platform, developing production-grade solutions, and ensuring reliability in a data-centric cloud environment. You will work in an agile setting, collaborate … across cross-functional teams, and drive automated, observable, and secure data platform operations with a focus on data lake tools and enterprise AI #J-18808-Ljbffr ...