801 to 825 of 1,134 AI Jobs in Scotland

hackajob is partnering directly with Atos to hire for this role. Atosis the Atos Group brand dedicated to AI-powered, secure, end-to-end digital services. Atos designs, develops, and operates critical digital environments that drive performance, resilience and sovereignty, helping public and private organizations worldwide retain control over their … systems. European number one in cybersecurity and a leader in cloud, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is listed on Euronext Paris. Bigger Challenge/Scope: Join a team that supports, enhances ...

Emerging Technology, Shared Technology Services, Technology, Risk and the Executive Program Management Office (EPMO). Driven by our investment in cutting-edge technologies like AI and cloud solutions, we’re home to a diverse range of roles and backgrounds united by a shared passion for leveraging modern technology to drive … Fitch’s fundamental data collection, supporting both Ratings and Solutions • Exposure to the latest technology, as processes are transformed to leverage AI/ML How You’ll Make an Impact: • Have advanced knowledge relevant to the sector and stay updated with new developments that will impact stakeholders. • Ensure highest levels ...

REST APIs, JSON, YAML and SQL. Support data quality, lineage, taxonomy and metadata management. Collaborate with technology, architecture, risk, compliance and business stakeholders. Leverage AI-assisted development tools such as GitHub Copilot, ChatGPT or Claude responsibly. What were looking for Strong senior-level Python development experience. Hands-on experience with … within financial services, banking, risk, compliance or regulatory environments . Familiarity with Git, code review, automated testing and CI/CD practices. Experience using AI-assisted development tools such as GitHub Copilot, ChatGPT, Claude or Cursor. Please apply today to be considered ...

REST APIs, JSON, YAML and SQL. Support data quality, lineage, taxonomy and metadata management. Collaborate with technology, architecture, risk, compliance and business stakeholders. Leverage AI-assisted development tools such as GitHub Copilot, ChatGPT or Claude responsibly. What we’re looking for Strong senior-level Python development experience. Hands-on experience … within financial services, banking, risk, compliance or regulatory environments . Familiarity with Git, code review, automated testing and CI/CD practices. Experience using AI-assisted development tools such as GitHub Copilot, ChatGPT, Claude or Cursor. Please apply today to be considered ...

infrastructure.You'll also have the opportunity to:Own and develop the Microsoft 365 and Azure environmentSupport ISO 27001 initiatives and strengthen cyber securityHelp drive AI adoption across the businessGain exposure to AWS infrastructureWork on a broad range of infrastructure, networking and end-user technologiesWhat We're Looking ForWe're keen … 27001AI tools that improve IT productivityWhat's On OfferSalary up to 60,000Genuine ownership of the IT environmentExposure to cloud, security and AI technologiesClear opportunity for career progressionWork with a high-performing, collaborative technology teamð Location: City of London (next to Bank station)ð Working Pattern: 5 days per week ...

stage Glasgow start-up built on the proposition that we can build AIagents you can actually trust with real work. Not satisfied with agentic AI that is stitched together fromscripts and hoped to behave, Kodamai uses formal methods (category theory, type theory, etc.) to createprecise specifications for what an agent … technical or quantitative field (e.g. Computer Science, Engineering, Mathematics). 7+ years in technology or applied science environments, with an emphasis on agentic AI or automated reasoning 3+ years directly managing applied science teams, with clear ownership of people management, software process, and delivery. Proven track record of managing teams ...

management on resource management, headcount and financial tracking, talent reviews, promotion processes, and organizational communicationsCreate and maintain disciplined processes that support consistent execution, leveraging AI-enabled tools and emerging technologies to reduce manual effort and improve the speed and quality of analysis, decision support, and communicationsPrepare data-driven recommendations, executive … teams, surfacing themes, opportunities, and barriers; translating feedback into practical actions; and providing leadership with clear insight into engagement progress and impactUses enterprise-authorized AI capabilities within the work environment to accelerate program planning and risk synthesis (e.g., consolidating inputs into integrated plans, risk/assumption/issue/dependency ...

belong in a modern space company. We know what we want to replace it with: SRE principles applied to a constellation, autonomous fault handling, AI-driven anomaly detection, low toil, high data quality, and continuous improvement baked into the system. You will be one of the engineers who makes that … stores, and surfaces telemetry from space and ground assetsBuild analytics and visualization tools that surface operational insight and not just raw dataApply ML and AI techniques to detect anomalies, predict failures, and optimize constellation performanceWork directly with data at every layer from pipeline design to queryReliability Engineering: Define and instrument ...

resource management, headcount and financial tracking, talent reviews, promotion processes, and organizational communications Create and maintain disciplined processes that support consistent execution, leveraging AI-enabled tools and emerging technologies to reduce manual effort and improve the speed and quality of analysis, decision support, and communications Prepare data-driven recommendations, executive … surfacing themes, opportunities, and barriers; translating feedback into practical actions; and providing leadership with clear insight into engagement progress and impact Uses enterprise-authorized AI capabilities within the work environment to accelerate program planning and risk synthesis (e.g., consolidating inputs into integrated plans, risk/assumption/issue/dependency ...

integrations.Experience with Atlassian Marketplace applications, integrations, and automation capabilities relevant to Jira Service Management.Thought leadership, speaking, training or community-building experience related to AI, Atlassian technologies or modern delivery practicesConnect to your business - Technology and TransformationDistinctive thinking, deep expertise, innovation and collaborative working. That’s what connects us. That … want to help solve some of the biggest tech and transformational challenges around, join us. Together, we’ll make an impact that matters. Engineering, AI and DataWe lead transformation at the heart of our clients; re-engineering the core of our clients’ organisations, helping to unleash growth, and creating better ...

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 3, 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 ...

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 ...