Top AI Jobs in Edinburgh

Design scalable AI-driven content and marketing solutions: define solution patterns, operating models, governance, target-state architecture, and delivery roadmaps. Assess platforms and vendors, translate prioritized AI use cases into platform requirements and implementation approaches, and enable rollout across product, marketing, and engineering teams through reusable standards and practical guidance.

Manage AI tooling operations, ensuring reliability and performance of AI tools. Drive improvements and uphold technical standards across the AI stack as technology evolves.

The AI Research Engineer will develop AI models to enhance product autonomy, analyze extensive data, and deliver impactful solutions, driving innovative product features.

As an AI Engineer, you'll design AI tools for authors, enhance internal workflows, and build tools for AI development, collaborating with teams to identify AI opportunities.

The AI Product Designer will develop and optimize player experiences in Avakin Life, focusing on AI-driven design, rapid prototyping, and collaboration with product and engineering teams.

The role involves evaluating AI outputs, providing annotations, and generating culturally relevant content while ensuring quality guidelines are met.

The AI Data Expert will evaluate AI outputs, provide cultural insights, generate content, and ensure quality by applying evaluation guidelines and offering clear feedback.

Create and edit short-form vertical videos for social media using AI tools, ensuring quality, character consistency, and appropriate syncing of audio elements.

As a Senior AI Engineer at Savanta, you will develop production-grade AI applications using C#, .NET, and Azure while collaborating with cross-functional teams to implement AI-driven features and enhance engineering capabilities.

Lead product execution for Ping Identity's Identity for AI solution: define strategy, prioritize features, gather market and customer requirements, produce technical requirements, manage roadmap and backlog, collaborate with engineering, design, sales and marketing, enable go-to-market, and leverage AI tools to improve product workflows and delivery.

As a Curriculum Manager, you will manage the content development lifecycle, collaborate with instructors, and improve data science curriculum, ensuring technical accuracy and pedagogical effectiveness.

Build production AI agents, LLM apps, RAG and retrieval-based systems, tool-calling and automations for fintech workflows (onboarding, KYC, risk, CRM). Ship, evaluate, and improve reliable AI-enabled systems with product and engineering teams, addressing latency, cost, security and compliance.

Lead design, build, and scale client-facing and internal automation systems. Create advanced workflows (GoHighLevel, n8n/Make/Zapier), integrate platforms via APIs/webhooks, document SOPs, advise clients, maintain CRMs and troubleshoot live systems for reliability and scalability.

Design, build, and optimize AI-driven automation workflows using platforms like Zapier/Make and LLMs. Integrate APIs, develop Python/JavaScript backend logic, maintain automation pipelines for sales/marketing/support, monitor systems, troubleshoot issues, and document scalable SOPs.

Lead high-volume outbound prospecting, run discovery calls, qualify and manage high-ticket opportunities through the full sales cycle, book and conduct meetings, handle objections, collaborate with founders/sales leadership, and consistently meet outreach, meeting, and revenue KPIs.

Design, build, fine-tune, and deploy production-grade AI and ML systems (LLMs, RAG). Develop scalable APIs, integrate AI into business systems, monitor model performance, and collaborate with cross-functional teams.

Lead engineering to shift GTM from no-code automation to code-first, AI-agent-driven systems. Design scalable backend pipelines, integrate CRMs/APIs, build reusable agent frameworks, ensure reliability and observability, and hire/mentor a distributed engineering team to deliver production GTM infrastructure.

Design, build, deploy, and optimize AI/ML models and pipelines (including LLMs and RAG). Integrate models into production, work with cross-functional teams, ensure monitoring and compliance, and contribute to scalable AI systems and automation.

Define and execute the AI engineering strategy and roadmap. Lead build, deployment, and operation of secure, reusable AI solutions. Establish engineering standards and frameworks. Build and mentor high-performing AI teams. Partner with Product, Architecture, Data, and Technology leaders to industrialise AI capabilities at enterprise scale.

Lead identification, development, and global deployment of AI and automation solutions to optimize forms and precedents content operations. Prioritize opportunities, collaborate with cross-functional teams, ensure governance and quality, integrate solutions, report outcomes to leadership, and drive continuous improvement and responsible AI practices.

The Senior Director Analyst for AI Cybersecurity will provide expert analysis and guidance on leveraging AI in cybersecurity for clients, driving innovation and impact in their operations.

The Marketing Technology Manager builds and owns AI-powered automations and workflows, ensuring reliable systems for marketing functions and improving efficiency through technical solutions.

Own operational quality, reliability, and configuration of AI tooling and platforms. Monitor usage, permissions, integrations and performance; identify friction; drive durable, scalable improvements with internal teams and leadership.

Design, build and deploy production-ready AI/ML solutions (including NLP, computer vision and generative AI) for UK public sector clients. Implement MLOps, develop scalable data pipelines and API-driven services, integrate Azure AI/LLM platforms, ensure responsible AI practices, and support proposals, PoCs and knowledge sharing across consulting teams.

As a Full Stack Developer on the AI Team, you will build production-ready backend and full-stack features, integrating AI functionality into the think-cell product while collaborating with C++ and AI engineers.