Top AI Jobs in Edinburgh

As a Senior Python Backend Engineer at VidRush, you'll build AI-driven video production systems, ship production-level ML/LLM services, and work closely with product teams while ensuring high autonomy and delivery speed.

The Research Manager will lead AI-powered insight projects, manage client relationships, oversee team execution, and innovate using AI tools to improve insights delivery.

Design end-to-end AI experiences for consumer and enterprise products: research opportunity areas, prototype agent behaviour/personality, craft UI/UX and brand-aligned visual expression, and work with engineering to build testable, trustworthy AI solutions.

The role involves embedding in enterprise accounts to solve procurement problems using AI, managing customer relationships, and developing AI agent solutions.

The Growth Marketing Manager will lead marketing initiatives, optimize the funnel, use AI tools for performance, and collaborate across teams to drive growth for Mindvalley’s Innovation Team.

Lead the product strategy for AI agent testing and observability, ensuring tools for testing agent behavior and quality scoring are user-friendly for non-technical users in B2B environments. Coordinate across multiple teams to deliver integrated solutions.

The AI Video Editor will develop and produce performance marketing videos, collaborate with various teams, and innovate video production processes while maintaining brand consistency and optimizing video performance based on data.

The AI Solutions Internship involves supporting AI platform adoption, building AI tools, and helping users effectively utilize search and automations.

Lead AI strategy and enablement at Primer, ensuring AI adoption across functions. Coach teams on AI workflows and measure impact effectively.

The Software Engineer will shape AI governance in developer tooling, build product features, collaborate with teams, support users, and innovate rapidly.

The AI Designer will create NPCs and gameplay mechanics, collaborate on design specs, analyze AI performance, and present new ideas within a remote multiplayer game team.

The role involves developing sophisticated LLM-powered autonomous agents, integrating intelligent services, and ensuring systems' scalability and reliability. Responsibilities include architecting AI modules, leading agile sprints, and monitoring production lifecycle with CI/CD roles.

Lead technical initiatives for Generative AI in logistics, design architecture, implement evaluation pipelines, and mentor engineers.

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.

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.

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.

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

The AI Solution Strategist collaborates with cross-functional teams to design and implement AI-driven solutions, enhancing customer interactions and supporting strategic AI initiatives.

The Head of Internal AI at UserTesting will define and implement AI strategy, drive governance, and ensure measurable business impact of AI initiatives across the company.

The AI Integration Specialist ensures AI insights are activated within sales teams, driving adoption of AI solutions that enhance commercial processes and revenue. Responsibilities include translating strategies into AI use cases and collaborating with sales leaders on implementing insights effectively.

Build MCP servers and agentic workflows that securely connect LLMs to enterprise systems (Salesforce, Snowflake, Google Workspace), deliver production AI integrations, collaborate with stakeholders, document patterns, and grow the AI Enablement function.

The Senior AI/ML Developer will deliver AI features, integrate ML models, and oversee the full project lifecycle from concept through production deployment.

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.