Top Artificial Intelligence Jobs in Glasgow

Lead development of scalable Java applications and cloud-native AWS solutions. Drive CI/CD improvements, apply responsible AI-assisted engineering practices, establish secure software standards, conduct code reviews, collaborate with business and architecture teams, and mentor engineers. The role also contributes to distributed systems, microservices, infrastructure automation, observability, security, and enterprise architectural decisions.

Leads software engineering for cloud financial management products, designing, developing, testing, securing, and troubleshooting production systems. Builds cloud-native applications and data pipelines, improves operational stability through automation, and promotes responsible AI-assisted engineering practices. Reviews code, guides technical decisions, evaluates vendors and architectures, and mentors engineers while supporting agile delivery and continuous improvement.

Leads software design, development, testing, troubleshooting, code review, and operational stability for cloud financial management technology. Develops secure production code, promotes AI-assisted engineering practices, automates recurring remediation, evaluates vendor technologies, collaborates across teams, and mentors engineers. Requires advanced programming expertise, software development lifecycle knowledge, cloud-native experience, agile practices, application resiliency, security, and financial services IT knowledge.

Participate in a two-day hackathon to build tech solutions for nonprofits, collaborate on agile teams, own projects end-to-end, develop software skills through mentorship and training, and be considered for a 2027 Software Engineer Summer Internship.

Design, develop, debug, and maintain secure, scalable production code and architectures; analyze large datasets to improve systems, support CI/CD and application resiliency, and contribute to engineering best practices and team culture.

Develops secure, scalable, and resilient software systems using Python. Responsibilities include system design, application development, testing, troubleshooting, architecture documentation, data analysis, visualization, automation, application resiliency, and maintaining production code. The role also contributes to agile engineering practices, emerging technology communities, and continuous improvements across software applications and systems.

Design, build, and maintain secure, tested, performant backend integrations connecting GitLab agents with tools such as Slack, Claude Code, and Codex. Own complex features, develop GraphQL and REST APIs, improve automated testing, troubleshoot production issues through on-call rotations, enhance observability and resiliency, and collaborate across product, frontend, backend, and AI engineering teams.

Design and develop secure Java applications, React interfaces, SQL data models, and enterprise-scale risk technology for credit risk workflows. Create architecture artifacts, optimize application reliability, use AI-assisted development tools responsibly, and collaborate with product, architecture, and business teams. Participate in testing, code reviews, agile delivery, troubleshooting, and continuous improvement across complex corporate technology environments.

Leads a global software and quality engineering organization responsible for enterprise data integration products across mainframe, distributed, hybrid, and cloud environments. Oversees engineering execution, software quality, modernization, customer escalations, operational readiness, innovation, and AI-enabled practices. Partners with product, architecture, and support teams while developing talent, managing performance, fostering accountability, and ensuring reliable delivery of business-critical software.

Reviews and evaluates engineering, infrastructure, and platform documents and work products for technical accuracy, completeness, clarity, consistency, and relevance. Provides structured feedback, identifies errors and gaps, compares technical approaches, and follows defined evaluation frameworks. Requires independent work, strong communication, analytical ability, and professional engineering judgment. The role is fully remote and supports varied technical evaluation projects as an independent contractor.

Lead and contribute to full-stack software design, development, and production support. Drive technical evaluations, architecture, AI-assisted engineering practices, automation, and resilient, secure SDLC across teams in financial services.

Assistant Professor responsible for conducting and publishing robotics and artificial intelligence research, securing research funding, supervising PhD students, and developing industry and policy partnerships. The role also involves designing and delivering undergraduate, postgraduate, CPD, and practical robotics laboratory teaching; assessing students; contributing to programme development; supporting inclusive education; and participating in departmental administration, enterprise, knowledge transfer, outreach, and EDI initiatives.

As a Staff Backend Engineer at GitLab, you'll enhance backend infrastructure for CI, integrate AI features, and ensure reliability and performance in CI/CD workflows.

Design, develop, and maintain secure, scalable software and data solutions on enterprise-scale finance platforms. Build production-quality Python code, Databricks/AWS data pipelines, visualizations, and audit-ready reporting. Produce architecture artifacts, troubleshoot complex issues, apply CI/CD and resiliency best practices, and responsibly integrate AI-assisted development tools and generative AI concepts to improve code quality and productivity.

Engineer, operate, and evolve Santander's AWS data lake platform: build IaC, manage shared services, secure and optimise cloud infrastructure, support batch/streaming workloads, enable CI/CD and FinOps, collaborate with data engineering, security, and architecture to ensure compliant, reliable, and scalable data platform delivery.

Lead full-stack engineer responsible for designing and delivering scalable Java and Angular microservices, defining engineering standards, mentoring engineers, driving CI/CD and automated testing, and adopting enterprise-authorized AI-assisted development practices while collaborating with UX and product stakeholders.

Design and build GitLab Duo CLI features in TypeScript, shape AI-assisted developer experiences, improve CLI reliability, observability, and performance, collaborate across Developer Clients, and provide technical leadership and mentorship.

Administer and operate the NebulaOne AI platform and SIAP-delivered applications, including user access, configuration, licensing, monitoring, dashboards, maintenance, upgrades, incident resolution, and operational reporting. Maintain playbooks and recovery documentation, support automation workflows, deliver user training, and collaborate with developers, vendors, and university stakeholders to ensure reliable business-as-usual service delivery.

Leads the strategic development, governance, and evolution of TM Forum’s Open Digital Architecture, with a focus on AI and data. Collaborates with telecom and technology stakeholders to create architecture artifacts, align standards, guide implementations, manage roadmaps, and drive adoption. Represents TM Forum through industry thought leadership and explains complex technical concepts to diverse audiences. Requires extensive enterprise or solution architecture experience, cloud-native expertise, API design knowledge, and strong stakeholder communication skills.

Leads application engineering for an AI-powered email product across backend, mobile, and desktop platforms. Designs reliable AI workflows involving orchestration, state, tool use, retries, fallbacks, and failure handling. Builds APIs connecting AI capabilities to product experiences, makes architectural trade-offs, establishes observability and operational excellence, and leads a small senior engineering team through mentorship, design reviews, and code reviews. Partners with ML leadership to deliver scalable, reliable, and maintainable production systems.

Lead application engineering for an AI-powered email product across backend, mobile, and desktop platforms. Design reliable AI workflows involving orchestration, state, tool use, retries, fallbacks, and failure handling. Build APIs connecting AI systems to product experiences, make architecture and scalability decisions, mentor senior engineers, and establish strong observability, monitoring, testing, security, and operational practices. Partner with ML leadership to ship fast, reliable, maintainable product experiences.

Support sales by designing and demonstrating Cisco cloud, data center, and AI-ready infrastructure solutions. Engage customers to assess modernization goals, craft platform architectures, present technical value, run workshops, and collaborate with account teams and partners to drive adoption of compute, storage, networking, and cloud-native technologies.

Build and ship native Android features in Kotlin (Jetpack Compose). Integrate backend APIs, improve performance and reliability, collaborate with product and design, use analytics, and implement AI-assisted on-device experiences where valuable.

Build and ship native Android features using Kotlin and Jetpack Compose. Design clean user flows for financial services, integrate backend APIs, improve performance and stability, use analytics and production feedback, and implement AI-assisted on-device experiences where beneficial.

Develop end-to-end AI product features by integrating LLMs and external tools, ensuring system reliability and performance across multiple tasks.