Top AI Jobs in Edinburgh

Lead the product strategy for an AI application by translating AI capabilities into products, collaborating with engineering teams, and ensuring product quality and user value.

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

Drive revenue growth and expand Kaltura's presence in AI solutions for designated verticals. Manage sales cycles, develop GTM strategies, and collaborate across teams to enhance market penetration.

Lead a team of researchers to develop advanced AI systems, focusing on multimodal models and engaging user experiences. Responsibilities include mentoring, driving research direction, and collaborating with engineering to deploy innovative features.

Lead the development of AI-native features, collaborating with teams to create innovative solutions, while maintaining focus on user needs and market trends.

Join Wiz's Data Protection team to enhance their privacy, data protection and AI compliance program, focusing on risk management and governance.

The Threat Researcher (AI) will conduct in-depth research on risks in cloud and AI environments, collaborating with teams to develop capabilities to mitigate these risks.

Applied AI Engineers will define and deliver AI systems for clients, shape AI visions, build products, and advance the core product using real-world data.

Seeking a Senior AI Full-Stack Software Engineer to develop AI-powered features and lead projects from concept to launch, focusing on quality through test automation.

As a founding iOS Developer, you'll create AI-integrated iOS apps, optimize performance, and collaborate on UX for AI interactions while establishing high engineering standards.

Lead the design and implementation of AI systems at A1, shaping engineering standards and mentoring engineers while building robust ML pipelines.

Design and implement backend systems for AI applications, manage model integration, build orchestration pipelines, and ensure performance and security in production environments.

Lead the technical and cultural groundwork for a global AI product, building critical AI systems and directing engineering strategy while ensuring quality and scalability.

As an Android Developer, you'll build and maintain AI applications, integrating various features, optimizing performance, and collaborating with backend engineers to ensure app stability and scalability.

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.

The internship involves research and development in AI and NLP, focusing on semantic systems, embedding-based retrieval, and collaboration on publishable research.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

The Solutions Architect guides sales teams by understanding customer needs, leading technical discussions, and demonstrating product capabilities, focusing on security and observability solutions.

This role involves managing complex sales cycles, building a self-sourced pipeline for AI products, and engaging with C-level executives in Western Europe to drive new business.

The AI/ML Engineer will develop and implement ML systems for secure-code understanding, manage infrastructure for LLMs, optimize models, and conduct research.

The role involves engineering, testing, and the development of advanced frontend components for an AI-driven cybersecurity product, integrating AI features and ensuring best practices are followed.

The Fullstack Engineer will focus on product software engineering, agents framework engineering, and R&D in AI and cybersecurity. Responsibilities include hands-on engineering, testing, and integrating AI Agents into existing systems.

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 Head of Technology oversees the technical direction of AI Business Solutions at Kainos, focusing on Dynamics 365, Power Platform, and AI capabilities while mentoring architects and engineers, supporting customer engagements, and ensuring alignment with Microsoft's roadmap.

As a Senior AI Product Manager at Matillion, you'll lead product initiatives for AI-driven data solutions, collaborating across teams to drive business outcomes and market success.