Top AI Jobs in Edinburgh

Pre-Sales AI Solution Designers collaborate with teams to propose AI-driven solutions, design architectures, present capabilities, and assist with proposals, ensuring compliance and ethical standards in AI development.

The AI Presales Specialist will lead technical sales efforts, demonstrate AI capabilities, architect solutions, and engage with customers to drive AI sales opportunities.

The AI Sales Strategy Senior Manager drives global customer strategy for Genesys AI solutions, leading strategic planning, analytics, and operational efficiencies to enhance sales performance and alignment across departments.

The AI Business Development Manager will engage with clients, identify sales opportunities, manage client relationships, and convey complex AI standards and services effectively.

This role involves advising tech CEOs on sales transformation, creating research content, engaging clients, and mentoring team members.

The Regional Sales Manager will lead a sales team to acquire new corporate clients and expand market share through strategic planning and execution.

Responsible for designing, implementing, and maintaining cloud infrastructure focused on Kubernetes and containerization, while building and leading a team for release management and operations.

The Analyst will provide insights to CFO clients on finance technology strategies, cloud ERP transformations, and vendor evaluations. They will publish research, advise clients, and deliver high-quality presentations, requiring extensive experience in finance and technology.

The Corporate Finance AI Expert advises finance leaders on AI strategies, governance, and implementation while producing insights on finance processes and AI technologies.

As a Software Engineer, AI, you'll train large-language models by comparing, ranking, and refining AI-coded snippets, while providing feedback for reinforcement learning.

Train large-language models (LLMs) by evaluating, ranking, repairing, and refactoring code. Provide detailed feedback and maintain the RLHF pipeline.

The Software Engineer will analyze, rank, and improve AI-generated code, providing feedback for reinforcement learning in a remote role.

The AI Test Architect will profile, benchmark, and optimize deep learning models and training pipelines while focusing on high-performance networking for large-scale supercomputing solutions.

The role involves training large-language models to improve code generation, reviewing and editing AI-generated code, and providing feedback for reinforcement learning refinement.

Create AI-driven video ads for TikTok campaigns by using tools like Runway and Pika, editing for performance, and experimenting with formats.

The Backend Engineer will develop AI Agents, design scalable systems, integrate ML services, optimize performance, and mentor junior engineers.

As an AI/ML Engineer, you will design and develop AI-powered applications, integrate AI features into BPM systems, and collaborate with teams to improve operational efficiency through innovative AI solutions.

Lead the LLM team at EverAI, managing architecture, training, deployment of AI models, and ensuring user experience through effective moderation and alignment strategies.

WunderGraph seeks a Staff FullStack AI Engineer to lead architecture for AI-driven projects, mentoring engineers and ensuring scalable, secure systems. Responsibilities include backend and frontend development with a focus on AI workflows and enterprise readiness.

The Director Analyst will create valuable research for clients in cybersecurity, analyze market trends, and support sales efforts with insights and presentations.

The Senior DevOps Engineer will design, implement, and optimize ML/AI pipelines using Azure Databricks, ensuring AI models are production-ready and scalable.

Build and maintain high-performance cross-platform desktop applications integrated with AI features and real-time collaboration functionalities, while ensuring optimal performance across macOS and Windows environments.

As an AI Implementation Engineer, you'll design AI solutions to enhance business processes, develop automation workflows, and integrate systems, while collaborating with diverse teams.

As an AI Trust Consultant, you will deliver Responsible AI solutions, collaborate with various teams, advise customers on ethics, governance, and human-centric practices, and foster innovation in AI implementations.

As an AI Governance Consultant, you'll deliver Responsible AI solutions, ensuring they meet customer needs while collaborating across teams to foster innovation and excellence.