Top AI Jobs in Edinburgh

As a Senior AI Engineer at DATAPAO, you will lead AI projects, provide ML consultancy, and act as a client interface, ensuring high-quality delivery while mentoring 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.

The role involves driving new business growth through AI transformations, building senior client relationships, and leading consultative sales for AI solutions across various sectors.

The Business Development Director will lead financial services growth, manage senior client relationships, and execute a business strategy focused on AI solutions.

The role requires creating insights for finance leaders focused on AI integration in finance processes, conducting research, and advising on AI strategies. It involves engaging with clients, presenting insights, and mentoring junior team members.

Apply generative models to real design briefs, evaluate and rank outputs, curate rights-cleared reference images, document quality gaps, and develop realistic use-case scenarios to guide model iteration for product and marketing contexts.

Serve as a subject-matter expert advising CFOs and controllers on transforming controllership, AP/AR and financial close using AI and automation; produce research, vendor guidance, and present insights to global clients.

Lead technical discovery and implementation of AI/LLM-powered agents for enterprise procurement workflows. Design agent architectures, build and tune prompts, create integrations with ERPs/CLMs via middleware/iPaaS, drive deployments, enable customers, and feed product insights.

As a Lead AI Engineer, you will design AI products for enterprise coding, collaborate cross-functionally, and lead AI feature development.

The Solution Architect will guide government clients in implementing AI solutions, support product development, mentor teams, and facilitate impactful strategies.

Lead development of AI-augmented internal tools for a 250+ designer/researcher org: prototype, build, and deploy full-stack web applications and AI integrations, define technical AI strategy, drive tool adoption, and partner across Design, Research, Ops, and Engineering to improve workflow quality, speed, and impact.

Lead planning and production of global AI regulatory services marketing campaigns, create and distribute assets, support sales enablement, track KPIs and optimize performance, conduct market and competitor analysis, and manage multiple projects across regions to drive brand awareness and lead generation.

The AI Video Ads Editor will create high-impact, AI-generated video ads for D2C brands, using AI tools and collaborating with teams to optimize content for conversions while monitoring performance metrics.

Design and fine-tune large-scale Vision-Language Models for tasks involving visual reasoning and 3D understanding, while collaborating on model adaptation and publishing research.

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 Context Layer & GTM Engineer, you'll architect and maintain a data system for AI agents, ensuring data quality, optimizing API performance, and facilitating scalability.

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.

Responsible for designing and developing AI products, collaborating with cross-functional teams, and advancing AI capabilities in enterprise software development.

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.

Design, build, deploy, and maintain scalable AI/ML pipelines and production models (including LLMs). Collaborate with data scientists and engineers to optimize model performance, latency, and cost on cloud platforms using MLOps practices, containerization, and CI/CD. Integrate AI capabilities into client and internal applications and monitor models in production.

Lead company-wide AI and automation adoption: run internal programs (hackathons, enablement, dogfooding), conduct AI market watch, produce guidance and content, evangelize successes, and manage and scale the Automation team while overseeing cross-functional delivery and OKRs.

The Senior AI/ML Engineer will design and optimize scalable systems, productionize AI prototypes, solve performance issues, and collaborate with teams on innovative solutions.

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.