Top AI Jobs in Edinburgh

The AI Solutions Architect will lead the design and improvement of Fortis Games' IT systems, utilizing AI and automation to enhance security, scalability, and efficiency.

The role requires deploying AI solutions and automations for clients, building prototypes, integrating systems, and collaborating with various teams while ensuring effective client interaction.

Deliver and operationalize AI learning and adoption programs across the firm: run workshops, cohorts, office hours, champion activities, learner support, stakeholder engagement, learning operations, and measurement to embed responsible AI into workflows and drive adoption.

Lead a global team of solution specialists to drive growth across AI Business Solutions, Security, and Business Process. Coach and develop specialists, engage strategic customers and partners (including Japanese enterprise accounts), manage pipeline and forecasts, scale cross-region GTM best practices, and deliver measurable revenue, transformation, and operational outcomes across complex, multi-region environments.

Build and ship AI-powered, production-grade features enabling analytics and agentic workflows across large datasets. Rapidly prototype, iterate, and dogfood solutions; integrate agent components with internal tools; collaborate cross-functionally while owning scalable, maintainable AI-driven product capabilities.

This role leads CX automation and AI initiatives, builds AI agents, manages complex programmes, and enhances operational tools for team effectiveness.

As the primary engineer for Aperture OS, you will own the full codebase, drive feature development, manage API and AI integrations, and ensure security and scalability in a multi-tenant SaaS environment.

Evaluate personalized AI responses for Gemini by designing multi-turn prompts using personal data, comparing side-by-side responses, assessing grounding, integration, and helpfulness, writing structured rationales, extracting debug info, and maintaining data hygiene.

Evaluate personalized AI responses by designing multi-turn prompts using your own personal context, assessing grounding, integration, and helpfulness, stack-ranking side-by-side model outputs, writing clear rationales, verifying debug info, and maintaining data hygiene. Work full-time as a remote contractor with schedule overlap requirements.

Design, build and optimise Python-based AI applications and data storage solutions. Collaborate with clients and teams, enforce code quality, CI/CD, testing practices, and deliver scalable production systems across cloud environments while travelling to client sites.

Lead design and scaling of legal AI evaluation frameworks and benchmarks, build and maintain datasets, audit and score AI legal outputs, define metrics focused on reasoning and citation accuracy, and collaborate with engineering to translate legal errors into model fine-tuning feedback.

Lead and operationalize a company-wide AI governance program: build frameworks, assess AI risks and use cases, embed controls in SDLC, run governance council, liaise with Siemens consortium, handle regulatory compliance (EU AI Act, NIST AI RMF), produce reporting, and deliver training and documentation across Product, Engineering, Legal, Privacy, HR and Security.

Build and ship AI-native systems for a fintech neobank: AI agents, RAG/LLM apps, tool-calling and automations to improve onboarding, KYC, support, risk review, CRM and operations, focusing on reliability, latency, cost, security and compliance while collaborating with product and engineering teams.

Own full enterprise GTM lifecycle for a GenAI SaaS product: prospecting, discovery, demos, pilots, negotiations, closing, and expansion. Map creative workflows, design pilots with success metrics, manage complex multi-stakeholder sales cycles, coordinate contracts and security reviews, and build repeatable GTM processes while feeding customer insights back to Product and Leadership.

Design, build and operate backend services, APIs and workflows for an AI neobank. Support products across payments, wallet, savings, investing and insurance. Integrate with banks, gateways and partners, improve reliability, observability, security and performance, and collaborate with product and mobile teams to deliver customer-facing journeys for regulated financial products.

Build and productionize AI-native systems for a neobank: integrate LLMs, agents, RAG and internal data with product workflows to automate support, onboarding, payments and ops, while ensuring evaluation, monitoring, safety, and reliability.

The AI Creative - Copywriter role involves crafting engaging copy for various formats in the crypto and Web3 space, utilizing AI tools to enhance output while maintaining high editorial standards. Responsibilities include researching trends, collaborating with teams, and adapting language for diverse audiences.

As a Technical Product Manager (AI), you'll manage projects, prototype tools, and enhance AI insights for decision-making at Verve.

The role involves creating research content, providing insights in Analytics and AI, engaging with clients, and mentoring team members. A strong focus on industry trends and effective presentation skills is required.

Build and maintain internal AI-driven tooling and infrastructure to support GTM (Marketing, Sales, Client Success). Co-own data and integration foundations, rapidly prototype and iterate internal apps, enable non-technical self-serve tooling, and apply product discovery and UX principles while partnering with revenue, data and product teams.

The Technical Consultant will lead customer engagements with Microsoft Copilot, providing solutions for AI adoption, and ensuring successful project delivery.

Design, develop, and productionize AI/ML solutions within the Workday practice. Integrate models into production, implement MLOps (CI/CD, versioning, monitoring), use cloud AI services and container orchestration, build data pipelines, and collaborate with cross-functional teams to ensure scalable, reliable AI-driven features.

Design, build, and productionize AI/ML solutions within the Workday practice. Collaborate with data scientists and engineers to deploy scalable models, implement MLOps (CI/CD, versioning, monitoring), integrate with enterprise data systems and cloud platforms, and ensure reliability and performance of AI-driven features.

As an AI Automations Engineer, you will design and build tooling for GTM, Operations, and Finance teams, automating processes and enhancing systems with a focus on AI.

Lead design and implementation of scalable AI-centric systems for offensive security, develop agentic AI capabilities (LLMs, RAG), own feature lifecycle to production, mentor engineers, run design reviews, and integrate AI into microservice architectures with cloud, container, and messaging technologies.