701 to 725 of 1,132 AI Jobs in Scotland

impactApply deep technical expertise within one or more technical domains, sharing knowledge and providing guidance to peers across the teamDrive reuse-first adoption of AI-assisted reliability workflows across the software development lifecycle and toolchain practices (e.g., continuous integration/continuous delivery quality checks, test and validation automation, and operational … readiness), ensuring traceability, auditability, resiliency, and security controlsUse enterprise-authorized AI capabilities within the work environment to accelerate major-incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirementsRequired qualifications, capabilities, and skillsFormal training or certification on site reliability engineering concepts ...

deep technical expertise within one or more technical domains, sharing knowledge and providing guidance to peers across the team Drive reuse-first adoption of AI-assisted reliability workflows across the software development lifecycle and toolchain practices (e.g., continuous integration/continuous delivery quality checks, test and validation automation, and operational … readiness), ensuring traceability, auditability, resiliency, and security controls Use enterprise-authorized AI capabilities within the work environment to accelerate major-incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirements Required qualifications, capabilities, and skills Formal training or certification on site ...

nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders … learning differences like dyslexia, ADD, low vision, concussions, autism, and more. Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio. Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role ...

estate for observability using tools such as Datadog, CloudWatch, and Dynatrace, and use telemetry insights to support improvements to infrastructure hygiene Uses enterprise-authorized AI capabilities within the work environment to accelerate design comprehension and coding support (e.g., drafting unit tests and documentation), validating outputs and handling data according … production environment Familiarity with production readiness practices including observability (metrics, tracing, logging) and incident management in distributed systems Working knowledge of using enterprise-authorized AI capabilities within the work environment to support software engineering workflows with strong validation habits and awareness of data sensitivity Ability to review and validate AI ...

partner for the energy sector, building a world‐class team with deep domain knowledge in all things energy. We work across cloud, infrastructure, data, AI and software, helping energy‐sector organisations modernise and operate the technology platforms behind genuinely important business services. Find out more here: Hypercube | AI for Energy … substantial enterprise cloud and infrastructure environment rather than being spread thinly across dozens of small support accounts, alongside experienced cloud, infrastructure, security, data and AI specialists, with direct access to senior technical leadership. There is a clear technical progression path into Platform Technical Lead, Principal engineering, architecture or specialist disciplines ...

choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance.About Capgemini:Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. ...

Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries … Engineering, to deliver integrated solutions Foster a team culture that values collaboration, learning, and a shared commitment to client success Identify and implement AI-driven automation and LLM integrations to streamline implementation Who You Are Bachelor's degree or equivalent, ideally in Business, Finance, Math, Economics, or another data-oriented ...

AreAddepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries … Solutions, Product, and Engineering, to deliver integrated solutionsFoster a team culture that values collaboration, learning, and a shared commitment to client successIdentify and implement AI-driven automation and LLM integrations to streamline implementationWho You AreBachelor’s degree or equivalent, ideally in Business, Finance, Math, Economics, or another data-oriented field3+ ...

innovate, this is your chance to thrive.Job Summary:As a Lead Software Engineer in Prime Finance Services, you will architect and deliver cutting-edge, AI-driven workflows and solutions that add value to our business. You’ll work as part of a global team, enhancing and building trusted technology products … culture of creativity and inclusion while tackling large-scale engineering challenges.Job Responsibilities:Execute creative software solutions, design, development, and technical troubleshootingLead with an AI-driven approach in daily tasksSpearhead the design and development of real-time, mission-critical trading platforms using JavaTackle large-scale engineering challenges with technologies like KafkaInnovate ...

solutions, working hands-on throughout the complete software lifecycle – from architecture to deployment.They deliver high-quality code that aligns with business goals and productionizes AI solutions, and help establish and maintain software engineering standards.They combine strategic thinking, strong problem-solving skills, and a collaborative approach to successfully ship efficient software.What … doing:Contribute to the design, architecture and development of scalable AI software solutions, ensuring alignment with business objectives and technical standards.Optimize development workflows and establish and apply coding standards and guidelines to maintain robust and clean code.Work closely with data science and software engineering teams to define project requirements ...

Solutions’ Avigilon Alta Video brings Cloud video security systems to the next level. Alta’s cloud-based video security solution offers industry leading full AI video analytics and exceptional operational insights. The Alta Video engineering team injects intelligence into their approach to security and all their solutions. They help organisations … things.It is also considered a bonus if you have:Understanding of service-oriented architectures and building cloud-based products.Experience with Machine Learning, Computer Vision, AI technologies.We are looking for a team player who thinks holistically, enjoys solving complex problems and thrives working autonomously, while not afraid to ask for input ...

Solutions' Avigilon Alta Video brings Cloud video security systems to the next level. Alta's cloud-based video security solution offers industry leading full AI video analytics and exceptional operational insights. The Alta Video engineering team injects intelligence into their approach to security and all their solutions. They help organisations … also considered a bonus if you have: Understanding of service-oriented architectures and building cloud-based products. Experience with Machine Learning, Computer Vision, AI technologies. We are looking for a team player who thinks holistically, enjoys solving complex problems and thrives working autonomously, while not afraid to ask for input ...

transparency.Support the adoption and development of new tools such as Microsoft Fabric including data integration, analytics, and reporting solutions and evaluate emerging technologies, including AI and Copilot capabilities, and identify practical use cases within Finance..Partner with teams across the business to design scalable reporting and data solutions. Establish and promote … automation tools. Act as a technology champion within the Controllership organization.To be successful in this role you will have...Experience coding in python or using AI tools to code in pythonExperience developing dashboards in business intelligence tools such as Power BI or TableauExperience working in a Finance function.The individual must ...

agile methodologies, including CI/CD, application resiliency, and security. Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, AI, machine learning, mobile). Ability to solve data‐oriented problems using technologies such as SQL, relational databases, Spark, and NoSQL. Preferred Qualifications, Capabilities, and Skills … Additional formal training or certification in software engineering concepts. Exposure to AI tools and technologies for software development. Experience with Spark performance tuning for complex calculations on large datasets. Experience delivering production changes to complex software using Scala and Spark. If you’re ready to lead, innovate, and make ...

will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.Join us as an AI Product Manager at Barclays where you'll be primarily responsible for planning, delivering, and managing AI-driven products or features, with a great focus … roadmaps, prioritisation, and execution. You will translate business needs into product requirements, leveraging your understanding of AI fundamentals, data analytics, and market insights to support product development. Working closely with stakeholders, you’ll coordinate delivery using tools like Jira while building robust relationships and ensuring clear communication. You’ll play ...

minimal supervision.The successful candidate will contribute to the continuous improvement of quality engineering practices, test automation capabilities, and the adoption of innovative technologies, including AI-assisted testing approaches.Role accountabilities:· Collaborate with project teams and stakeholders to understand requirements, identify risks and define appropriate test approaches.· Produce test estimates and contribute … automated test suites and supporting frameworks using Playwright and TypeScript.· Identify opportunities to improve quality, efficiency and coverage through automation, tooling, process improvements and AI-assisted solutions.Qualifications & Experience:· Bachelor’s degree in Computer Science, Information Technology, or equivalent practical experience.· 5+ years of experience in software quality assurance.· Strong communication ...

minimal supervision.The successful candidate will contribute to the continuous improvement of quality engineering practices, test automation capabilities, and the adoption of innovative technologies, including AI-assisted testing approaches.**Role accountabilities:**· Collaborate with project teams and stakeholders to understand requirements, identify risks and define appropriate test approaches.· Produce test estimates … automated test suites and supporting frameworks using Playwright and TypeScript.· Identify opportunities to improve quality, efficiency and coverage through automation, tooling, process improvements and AI-assisted solutions.**Qualifications & Experience:**· Bachelor’s degree in Computer Science, Information Technology, or equivalent practical experience.· 5+ years of experience in software quality assurance.· Strong ...

good understanding of ecommerce strategy. Be confident questioning and challenging assumptions where appropriate. Work effectively with marketing, brand teams and senior stakeholders. Use AI tools appropriately to support efficient and effective development. Key Responsibilities: Take responsibility for the technical development, performance and ongoing maintenance of multiple Shopify websites. Develop … response to business requirements. Investigate and resolve technical issues efficiently, while proactively identifying potential problems before they affect the business. Make effective use of AI-assisted development tools to support faster delivery and high-quality development standards. Essential Requirements: Proven commercial experience developing ecommerce websites using Shopify. Strong working knowledge ...

have experience with geospatial applications such as ArcGIS Pro, QGIS, ArcGIS Online or ArcGIS Enterprise.You can apply spatial analysis, modelling or AI-enabled workflows, including machine learning, Earth Observation, constraint analysis, route optioneering or site suitability.You are confident working with data engineering and cloud platforms such as Python, SQL, Databricks … reproducible tools for large spatial datasets and enterprise geospatial systems.You are able to translate business or engineering needs into robust spatial, analytical and AI-enabled workflows.You have a relevant degree, such as GIS, Remote Sensing/Earth Observation, Geography, Geoinformatics, Computer Science, Data Science or Environmental Science, or equivalent industry ...

have experience with geospatial applications such as ArcGIS Pro, QGIS, ArcGIS Online or ArcGIS Enterprise.You can apply spatial analysis, modelling or AI-enabled workflows, including machine learning, Earth Observation, constraint analysis, route optioneering or site suitability.You are confident working with data engineering and cloud platforms such as Python, SQL, Databricks … reproducible tools for large spatial datasets and enterprise geospatial systems.You are able to translate business or engineering needs into robust spatial, analytical and AI-enabled workflows.You have a relevant degree, such as GIS, Remote Sensing/Earth Observation, Geography, Geoinformatics, Computer Science, Data Science or Environmental Science, or equivalent industry ...

application development teams to reduce complexity, improve platforms, and help developers get more from their tools. We're especially interested in someone enthusiastic about AI use cases across the SDLC, including engineering productivity, automation, and infrastructure management, with the ability to understand developer pain points and turn ambiguous or fast … tooling Partner with engineering teams and stakeholders to identify friction, set direction, and deliver platform improvements that matter Drive adoption of modern automation and AI-enabled workflows across software delivery and platform operations Bring clarity and momentum in ambiguous environments where priorities, requirements, and technologies continue to evolve Influence standards ...

help in designing, developing and managing cloud platform provisioning solutions with a primary focus on GCP, while driving infrastructure automation, Kubernetes platform engineering, and AI‐assisted DevOps practices. Location: Glasgow. Hybrid Duration: 6 months initially (with potential extension) Contract Start Date: Immediate Key Responsibilities Design, implement and maintain platform provisioning … using Python and Terraform to streamline infrastructure provisioning and operational processes. Implement and enhance automated deployment pipelines for cloud infrastructure and platform services. Leverage AI‐assisted coding tools such as GitHub Co‐Pilot and Claude Code to improve development efficiency and code quality. Drive automation initiatives to reduce manual intervention ...

scale financial and risk data sets, with attention to performance, data integrity and regulatory control requirements. Work with APIs, JSON, YAML and SQL, using AI-assisted coding tools responsibly to improve delivery, reviewing all outputs for security, compliance and maintainability. Required Skills and Experience Strong Python development skills with … data. Knowledge of data architecture and modern engineering practices including Git-based development, code review, automated testing and CI/CD concepts. Experience using AI-assisted development tools such as GitHub Copilot, ChatGPT, Claude or Cursor, with the ability to validate and productionise generated outputs responsibly. Good to Have Understanding ...

reporting directly to the CTO/Portfolio Lead. Responsible for driving engineering-led innovation, building next-generation accelerators, architecting cutting‐edge GenAI and Agentic AI capabilities, and supporting the creation of differentiated IP for Atos’ global ServiceNow business. Strategic Impact Drive the technical innovation engine for the global ServiceNow business … aligned to portfolio strategy. Build reusable frameworks, accelerators, AI‐powered components, and IP that enhance competitive differentiation. Lead R&D initiatives exploring GenAI, Agentic AI, automation, integration patterns, and emerging ServiceNow capabilities. Strengthen Atos’ positioning with ServiceNow through technical excellence, joint innovation, and prototype delivery. Enable faster time‐to‐market ...

frameworks. You'll play a key role in shaping client strategy, leading transformation programmes, and contributing to capability growth. You'll also leverage approved AI tools and AI-enabled ways of working to enhance analysis, accelerate insight generation, and improve delivery while applying responsible AI practices and appropriate human oversight.What … DoLead operational resilience assessments, scenario testing, and control implementation programmes, identifying opportunities to leverage AI-enabled workflows and automation to strengthen resilience outcomes.Advise clients on regulatory readiness across PRA, DORA, and other resilience frameworks, translating regulatory expectations into practical transformation strategies and sustainable operating models.Oversee cyber risk, third-party risk ...