Top AI Jobs in Edinburgh

Develop and optimize low-level kernels for AI inference, improve inference engines, debug performance issues, and collaborate across teams.

The AI Engineer will build and deploy full-stack applications, integrate ML models, develop APIs, and design user-friendly interfaces, collaborating across teams to enhance intelligent systems in financial services.

As a Founding AI Engineer, you will develop AI-integrated full-stack systems, collaborating with cross-functional teams to enhance user experiences and deliver impactful features.

Join Welo Data's global contributor network to work on flexible, remote AI projects such as annotation, evaluation, and prompt creation, requiring Albanian fluency.

As an LLM Engineer, you will optimize large language models for user interactions, oversee algorithm development, manage datasets, and enhance product features.

Develop and maintain AI ecosystem integrations, collaboratively work with customers on implementations, and enhance Redis products using GenAI frameworks.

Lead AI-enabled engineering initiative, designing multi-agent systems for software development, integrating AI tools, and collaborating across teams to innovate workflows.

The role involves managing large-scale unstructured data for ML systems, contributing to the entire product lifecycle, and building reliable system software.

The Senior Cloud Architect will lead cloud-based AI/ML solution development, engage with clients, enhance technical skills, and mentor team members while working with advanced AWS technologies.

As a Senior Cloud Architect, you will architect, deploy and manage AI/ML cloud solutions while mentoring team members and optimizing workflows.

As a Senior Cloud Architect, you will architect, deploy, and manage cloud-based AI/ML solutions, leveraging AWS technologies and providing consultative support to clients.

The Senior Cloud Architect will leverage cloud technologies to address customer needs, focusing on AI/ML solutions while mentoring team members and enhancing personal brand through thought leadership.

The AI Automation Engineer will build and implement intelligent systems to automate workflows and enhance decision-making, collaborating closely with various business units and utilizing AI and Python tools.

As a Staff Agentic AI Engineer, you'll develop advanced AI agents for cybersecurity, lead engineering teams, and enhance AI capabilities across the organization.

Lead the AI engineering team to develop and implement AI solutions, mentoring staff, collaborating with business units, and promoting AI adoption.

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