Top Artificial Intelligence Jobs in Glasgow

Leads architecture and evolution of Snowflake-based operational data platforms, including real-time ingestion, AI-enabled capabilities, API integrations, data modeling, governance, and secure enterprise data flows. Partners with engineering, data, and business stakeholders to define roadmaps, standards, and technical direction while troubleshooting complex systems and communicating architecture decisions to technical and executive audiences.

Design and deliver secure, scalable Azure data platforms for global enterprise customers. Lead architecture engagements, roadmaps, proofs of concept, pilots, and production deployments across Microsoft Fabric, Azure Databricks, databases, governance, and AI workloads. Own technical delivery, workload health, resiliency, security, capacity optimization, and adoption outcomes. Resolve technical blockers, collaborate with product and engineering teams, develop reusable implementation assets, and mentor others while enabling Azure consumption and production-scale AI scenarios.

Designs and operates secure, scalable AWS infrastructure and reusable Terraform modules. Owns CI/CD, GitOps, observability, reliability, automation, and cost optimization. Builds production platforms for AI agents and LLM-backed services, including identity, access controls, secrets, evaluation, regression testing, and operational safeguards. Mentors engineers, communicates technical trade-offs, and supports broader platform and developer-experience strategy.

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 design and delivery of platform-level identity, security, and governance patterns for enterprise infrastructure. Build standards, tooling, and agent-ready AI integrations to ensure continuous compliance, reliability, and secure AI-enabled development across teams. Coach engineers, drive architecture and adoption, and embed controls for auditability and responsible AI use.

Build and maintain secure, scalable Flow Registry features for GitLab’s agentic platform using Python, LangChain, and LangGraph. Design GraphQL and REST APIs, improve automated testing, optimize PostgreSQL-backed applications, and collaborate across backend, frontend, product, UX, and AI teams. Participate in Tier 2 on-call support, troubleshoot production issues, improve observability, and contribute to responsible AI integration in GitLab’s remote, asynchronous environment.

Own AI cost visibility features end to end, from Go backend services and APIs processing cloud spend data to TypeScript and React interfaces. Define product direction, understand FinOps and AI economics, build scalable cloud software, and use AI throughout development. Lead design reviews, establish engineering standards, mentor peers, and ensure reliability, usability, and measurable customer impact.

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.

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.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

The Senior .Net Developer will enhance SDG's C#/.NET Core codebase, design high-load services, and optimize MS SQL queries, benefiting from a remote work environment and attractive benefits.

The AI Engineer designs, develops, and deploys AI-driven applications for non-data scientists, enhancing decision-making and model accessibility for organizations.

The Senior AI Compute Infrastructure Engineer will manage and optimize GPU and accelerator clusters for AI workloads, collaborate with teams, and ensure reliable performance and cost efficiency.

Lead and manage a cross-functional engineering team to design, build, and operate a high-scale payments app. Drive architecture, delivery, code quality, reliability, observability, and incident response while coaching engineers and improving processes to ship customer-focused products quickly and reliably.

Lead and grow a high-performing engineering team building scalable, customer-facing products. Own engineering delivery, architecture, code quality, observability, incident response, and engineering culture. Partner with product, design, mobile, backend and AI teams to turn ambiguous problems into production systems while coaching engineers and improving processes to deliver reliable, high-quality outcomes.

Lead technical design and execution of products for an AI-enabled payments app. Hands-on coding, architecture, system design, code review, debugging, production ownership, mentoring engineers, improving dev tooling, and collaborating with product, design and AI teams to ship reliable, scalable systems.

Lead and manage a cross-functional engineering team to design, build, and operate scalable, reliable payment and AI-integrated products. Own technical architecture, delivery, code quality, observability, incident response, and engineering processes while coaching engineers and driving product-focused outcomes.

Technical lead responsible for designing, building and operating scalable full-stack systems. Hands-on coding, architecture decisions, code reviews, mentoring, cross-team collaboration, production reliability, observability and driving features from concept to production.

Lead and manage a cross-functional engineering team to design, build, and operate scalable, reliable production systems. Own technical architecture, delivery, code quality, observability, incident response, and engineering processes while coaching engineers and driving product outcomes in partnership with product, design, mobile, backend and AI teams.

Lead architecture and delivery for Fortives HR technology ecosystem, owning Oracle HCM, Boomi integrations, ServiceNow HRSD, Eightfold and LMS platforms. Define API-first integration patterns, implement AI/automation use cases, ensure data governance and compliance, and guide integration engineers while partnering with HR and IT stakeholders to modernize HR systems.

As a Technical Lead, you will guide software engineering teams, translate client requirements into applications, ensure best practices, and shape technical direction while mentoring team members.

As the primary engineer for Aperture OS, you will own the full codebase, drive feature development, manage API and AI integrations, and ensure security and scalability in a multi-tenant SaaS environment.