901 to 925 of 1,133 AI Jobs in Scotland

deliver scalable solutions, leveraging Databricks, AWS, and a modern CI/CD toolchain. You will build secure production code, review peers, and drive AI-assisted engineering practices to improve quality and delivery speed. The role emphasizes containerized deployments, data pipelines, and collaboration across teams to enforce secure coding standards ...

Trade Execution Platform, working with Python/Java, AWS and Kubernetes in a fast-paced agile environment. You will lead the adoption of AI-assisted coding, secure practices, and automated testing while collaborating with non-technical teams to meet business objectives and ensure operational stability. #J-18808-Ljbffr ...

will design and deliver secure, scalable technology solutions, working in an agile environment across multiple platforms and business functions. You will apply enterprise DevOps, AI-assisted development practices, and Databricks data pipelines while collaborating with teams to ensure high availability and performance of critical systems. #J-18808-Ljbffr ...

will work with diverse teams to push technical boundaries and maintain high standards of security and reliability. You will mentor engineers, advocate responsible AI use, and drive scalable data pipelines and production-grade code across the SDLC. A strong emphasis on collaboration and continuous improvement will shape your impact ...

back-end services and modern front-end components with React, supporting risk workflows and data analytics. You will work in an agile environment, using AI-assisted development tools, applying secure coding practices, and collaborating with product and business partners to solve real credit risk challenges at scale. #J-18808-Ljbffr ...

align with business objectives, drive technical excellence, and foster innovation. You will lead development of secure production code, review peers, and advocate for AI-assisted engineering practices that enhance quality, speed, and reliability across the platform. #J-18808-Ljbffr ...

architecture artifacts, work with large data, and help improve code quality, resiliency, and automation while collaborating across teams to implement cloud, security, and AI-focused solutions. #J-18808-Ljbffr ...

cause analysis, ensuring improvement actions are owned and delivered. Use DORA, availability, recovery and operational metrics to identify risks and evidence progress. Enable practical AI adoption across the SDLC, including developer tooling, code quality, testing, documentation and delivery‐flow improvements. Work with strategic partners, third parties and other suppliers … improve DevOps capability, technical escalation, service improvement and knowledge transfer. Coach engineers in modern engineering practices, automation and AI‐enabled delivery where it improves quality and throughput. What are we looking for? Significant experience as a DevOps Lead, Senior DevOps Engineer, Platform Engineer or hands‐on technical lead. A proactive ...

finance function: We’re200+ people, remote-first, and weoperatewith startup pace backed byestablished-companystability. We adopt new tools and ways of working proactively — including AI across the business — and we expect every function to pull its weight there. Finance is no exception. Storyteller is our fast-growing SaaS business, enabling … work interesting and develops a broader skill set than a single-entity role. Embracing Future-Facing Technology The finance function is changing fast. AI and automation are absorbing the routine work — reconciliations, variance analysis, management account prep — that used to fill most of a finance team’s week. We’renot ...

help shape conversations around tech you’re interested in, share your knowledge and experience, and learn from colleagues working in very diverse problem spaces. AI You’ll be expected to responsibly adopt AI‐assisted engineering practices—such as GitHub Copilot, GitLab Duo, and similar tools—for code generation, testing, documentation ...

design. Drive consistency across experiences while knowing when innovation is appropriate. Champion accessible, inclusive, and user-centred design practices. Establish and continuously improve AI-assisted design workflows that increase quality, speed, and consistency across the design process. Ensure AI-assisted work remains grounded in customer insight, accessibility, design-system guidance … business context, engineering realities, and responsible human judgment. Coach and mentor designers through feedback, pairing, design critiques, and responsible AI practices, helping raise both individual capability and overall team quality. THE STATS What we’re looking for in our next teammate Extensive experience shaping and designing complex digital experiences ...

Building smarter customer experiences through technology, data and AI At DC Thomson, we're transforming how we connect with audiences across our portfolio of trusted media, digital and subscription brands. We're looking for a curious and innovative Software Engineer to join our engineering team and help build the systems … engage and retain our audiences. As part of a forward-thinking technology team, you'll also have the opportunity to explore and apply emerging AI tools and technologies that are helping shape the future of software engineering and customer experiences. This role is ideal for someone who enjoys solving complex ...

coding frameworks using appropriate software design frameworksDevelops secure and high-quality production code, and reviews and debugs code written by othersArchitects and governs agentic AI-enabled engineering workflows (using enterprise-authorized tools within the work environment) to improve delivery speed, code quality, and operational outcomes at scale (e.g., AI-driven … while defining guardrails for validation, security, resiliency, 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 at scale.Advises cross-functional teams on technological matters within domain of expertiseServes ...

JPMorgan Chase & Co. in Scotland seeks a hands-on Senior AI Engineer to join the IPB Technology AIML Team. You will translate business problems into scalable AI/ML solutions and drive production-grade services with measurable client impact. You will lead end-to-end design, build, and delivery … priority IPB AI/ML use cases, focusing on agentic AI, guardrails, governance, and production readiness across international markets. #J-18808-Ljbffr ...

CreateFuture in the UK is seeking a Senior Software Engineer to lead AI-powered software initiatives and advance our AI-native engineering practices. You will mentor teams, champion AI-assisted development, and continuously improve workflows using cutting-edge tools while delivering production-grade software. Join a culture embracing rapid innovation ...

Experience in the application of tooling and automation in testing Consulting skills including excellent communication, collaboration, and commercial awareness Awareness of the use of AI in testing Experience and expertise in at least one testing specialism e.g. Testing of AI systems API Testing Data Engineering Testing Domain specific testing (e.g. ...

improve reliability and ensure operational efficiency. Job Responsibilities Identifies and solves problems of high complexity and drives improvements as outcomes Uses enterprise-authorized AI capabilities within the work environment to accelerate complex incident analysis and reliability decisioning, validating outputs and handling operational data according to sensitivity and security requirements. Works … components to improve reliability and ensure operational efficiency Influences management and stakeholders through clear recommendations and measurable reliability outcomes Leads reuse-first adoption of AI-assisted reliability workflows across SDLC/toolchain practices, ensuring traceability/auditability, resiliency, and security controls. Required qualifications, capabilities, and skills A. Formal training ...

JPMorgan Chase & Co. in the IPB Tech AIML team seeks a hands-on AI Solutions Engineer (Forward Deployed) at Vice President level. You will be embedded with business units to identify high-value AI opportunities and design, build, and ship practical AI/ML solutions. You will prototype … deployments, collaborate to productionise and scale, and ensure governance and Responsible AI standards. Strong Python, full-stack skills, and ability to translate needs into funded workstreams are #J-18808-Ljbffr ...

Terraform, along with GCP networking including VPC design, subnets, firewall rules, and Cloud Load Balancing. You'll also have a genuine interest in emerging AI technologies, with exposure to LLMs and integrations using Model-Context Protocol (MCP) and Agent-2-Agent, ideally including the Gemini Enterprise Agent Platform. A creative … part of a broader GCP toolkit Working knowledge of Kubernetes, particularly Google Kubernetes Engine Familiarity with Cloud Armor and Model Armor for platform and AI protection Understanding of MCP and A2A concepts and how they integrate with LLM services Relevant Google Cloud Platform professional qualifications The ability to apply ...

technology risk management capabilities, in line with industry best practices and the firm's standards and regulatory requirementsSets reuse-first expectations for enterprise-authorized AI adoption within the work environment across technology risk and controls operations to accelerate evidence synthesis, issue analysis, and executive reporting, with human-in-the-loop … overall controls, policies, issue management, and measurements, etc., providing insight to senior leaders into effectiveness of controls and inform governance workEstablishes governance standards for AI-assisted workflows used in risk reporting and issue/action-plan management, ensuring traceability/auditability and alignment to security, resiliency, and regulatory expectations. Operational ...

risk management capabilities, in line with industry best practices and the firm's standards and regulatory requirements Sets reuse-first expectations for enterprise-authorized AI adoption within the work environment across technology risk and controls operations to accelerate evidence synthesis, issue analysis, and executive reporting, with human-in-the-loop … controls, policies, issue management, and measurements, etc., providing insight to senior leaders into effectiveness of controls and inform governance work Establishes governance standards for AI-assisted workflows used in risk reporting and issue/action-plan management, ensuring traceability/auditability and alignment to security, resiliency, and regulatory expectations. Operational ...

design and implementation of protocol amendments and sponsor‐driven changes, ensuring alignment with system capabilities and regulatory requirements.Identify and apply AI‐enabled tools, automation, and data analytics to improve study set‐up efficiency, data quality, and amendment delivery.Lead the design, configuration, and validation of laboratory databases and study … enabled study design and delivery.Maintain ownership of amendment delivery, sponsor deliverables, and database quality while proactively identifying opportunities to enhance ways of working through AI, digital transformation, and innovative thinking.Develop, plans, and delivers laboratory project setup and execution activities across the full study lifecycle, ensuring alignment with sponsor requirements, regulatory ...

elevate engineering capability, delivery performance and technical decision-making Enhancing developer experience through pragmatic standards, automation, self-service tooling and platform adoption Championing responsible AI-assisted development, including the practical use of tools such as Claude Reducing technical debt, security, resilience and knowledge-concentration risks Building strong engineering communities through … leadership AWS, CI/CD, APIs, containers and modern programming languages Cloud-native engineering, automated testing, observability and infrastructure as code Developer platforms, MLOps, AI automation or agentic workflows Coaching agile teams and influencing technical and non-technical stakeholders The role offers hybrid working within the UK, with onsite collaboration ...

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 for more information … 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 ...

people selling to more than 10,000 companies. Behind them sits a CRM, an enrichment and signal stack, a growing set of AI agents - and a lot of manual work that no longer needs to exist. Your job is to remove it and to build the automated systems that replace … Establish the standards the team builds to - version control, documentation, testing, and rollback. Build, hands-on Design and build in Clay: tables, waterfall enrichment, AI columns, webhooks and API integrations in production. Own the orchestration layer - the logic deciding which records enter a workflow, when, and on what criteria. This ...