Top AI Jobs in Edinburgh

Join Welo Data's talent community to work on flexible, remote AI projects involving annotation, evaluation, and prompt creation. Requires fluency in Afrikaans and English. Perfect for detail-oriented tech enthusiasts.

Join Welo Data's global contributor network to work on AI projects involving annotation, evaluation, and prompt creation, with flexible remote opportunities.

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

As an AI Creative Producer, you'll develop and scale AI-generated content across various platforms, collaborate with teams, and enhance production workflows.

As a Solutions Architect, you will drive innovation for NVIDIA customers by providing expertise in Generative AI post-training, especially utilizing LLMs and data processing techniques. Responsibilities include building proof-of-concepts, collaborating with various teams to integrate NVIDIA technology, and guiding customers on tools and methodologies for model alignment and training.

The AI Enablement Lead will drive AI adoption at Paddle through enablement programs, cross-functional collaboration, governance frameworks, and community building.

As a Senior Software Engineer, you'll create advanced AI systems to improve developer productivity, integrate existing tools, and mentor junior engineers.

The Lead AI Engineer will develop and optimize AI workflows using large language models, collaborate on project objectives, and ensure seamless integration of AI technologies across the project lifecycle.

Lead the development of intelligent AI agents for recruiting, focusing on user experience, automation of workflows, and collaboration with design and engineering teams.

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 Senior Fullstack Engineer, you will develop and maintain web applications, ensure UI/UX best practices, manage CI/CD pipelines, and contribute to collaborative processes, while mentoring and iterating on technical solutions.

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

RapidSOS seeks an AI Software Engineer to develop AI-driven solutions for emergency call centers, enhance data-driven decision making, and improve response times by integrating AI within the company's platform.

The role involves developing AI-driven solutions to enhance emergency call center efficiency, leveraging data, and collaborating with cross-functional teams.

The AI Applied Scientist Intern will tackle complex problems using deep learning, statistical analysis, and large datasets, collaborating with a team to implement AI solutions that generate economic impact.

As a Senior Data Engineer, you'll design scalable data pipelines, collaborate with engineers and product teams, and evolve the architecture to support growth in users and data.

As a Staff Software Engineer focused on AI, you'll integrate AI features into the logistics platform, utilizing Elixir, TypeScript, and various ML tools for real-time data processing and predictive analytics. Responsibilities include API design, building fault-tolerant systems, collaborating with data scientists, and mentoring engineers.

The role involves managing the sales process for AI solutions, targeting opportunities, engaging decision-makers, and ensuring successful adoption post-sale.

The role involves developing AI-assisted geometry processing methods, geometric representations, and integration with ML and graphics workflows, while collaborating with teams and contributing to research.

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

The AI Engineering Intern will design, test, and deploy scalable AI systems, integrate models, and work on inference optimization, collaborating with data scientists on complex problems.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

AI Engineers at QuantCo design, build, and implement applied AI systems, working with data scientists to optimize inference, develop scalable solutions, and integrate AI into enterprise operations.

As a Senior AI Engineer, you will architect, develop, and scale AI-powered services for our SaaS platform, collaborating with teams and ensuring quality and reliability of AI features.

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