Top AI Jobs in Edinburgh

Architect and build a production, self-improving learning platform: capture event pipelines, measure outcomes, implement recommendation and feedback loops, maintain knowledge graphs and vector stores, build feature stores and experimentation infra, and create evaluation frameworks. Spend majority time coding and shipping resilient systems while providing technical leadership and shielding the engineering team.

Facilitate workshops to define AI agent use cases; design, configure and deploy agents using Copilot Studio and Microsoft AI tools; integrate with Power Platform and enterprise data; test, iterate, scale and hand over solutions while enabling governance, training, and stakeholder alignment.

Design, build, and deploy AI systems (predictive models, NLP, generative AI) from PoC to production. Work with clients to define use cases, prepare large datasets, implement deployment and monitoring pipelines using cloud-native tools, and collaborate with cross-functional teams to operationalize AI solutions.

Build and ship native Android features in Kotlin for an AI-enabled neobank. Design clean mobile flows for payments, insurance and financial services, integrate backend APIs, improve performance and reliability, use analytics and on-device ML (TensorFlow Lite) to enhance user journeys, and collaborate with product and design.

Build end-to-end customer-facing and internal features for an AI neobank web app. Develop web flows, backend APIs, admin tools, dashboards, and operational systems. Integrate APIs, handle data flows, improve production reliability, use analytics and feedback to iterate, and reduce manual work across the business.

Build and ship native iOS features for BJAK's AI Neobank app using Swift. Implement mobile flows for insurance, payments, claims and financial services; integrate REST APIs; improve performance, stability, memory and battery usage; add AI-assisted on-device experiences where beneficial; collaborate with product and design and use analytics to iterate.

Build and ship Android and/or iOS features for BJAK's AI Neobank app. Design simple mobile flows for payments, insurance, claims and financial services. Integrate APIs, handle edge cases, errors and production issues. Improve app performance, reliability and crash rates. Collaborate with product, design and backend teams to launch experiments and fast iterations while maintaining high mobile product quality.

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.

Senior commercial role to originate, qualify, and convert GPU compute demand across Armada's AI factory and Leviathan deployments. Build and manage a pipeline of offtake, anchor tenancy, and reserved capacity deals; map customer requirements to deployable infrastructure; shape commercial structures and go-to-market; and provide market intelligence to inform site selection, capacity planning, and product strategy.

Lead end-to-end product development for an agentic AI platform for drug discovery: prototype LLM/agentic workflows, convert manual scientific workflows into reusable products, evaluate integrations, collaborate with scientists, engineers and customers, and support demos, pre-sales and adoption.

Lead development of an autonomous agentic AI scientist for drug discovery: architect multi-step reasoning agents, bridge AI and wet-lab experiment design, prototype to productionize agentic systems, publish research, and collaborate with biological experts.

Build and ship AI-driven GTM systems: outbound lead engine, inbound/lifecycle automations, AI-assisted content pipeline, data/reporting layer, and fast production patches to eliminate manual marketing workflows.

Lead a central AI function to define enterprise AI strategy, build platform and tooling, embed AI into products and operations, set governance and guardrails, run pilots to production, drive adoption and cost controls, and deliver measurable business outcomes.

Drive the expansion of software development and AI services by managing client relationships, building sales pipelines, and negotiating contracts.

Lead strategic engagements to accelerate adoption of Genesys AI and Experience Orchestration. Advise C-level stakeholders, shape AI use cases, run customer workshops, support sales enablement, pricing, proposals, and pilots, and partner cross-functionally to drive measurable AI-powered customer experience outcomes.

As a Senior Python Backend Engineer at VidRush, you'll build AI-driven video production systems, ship production-level ML/LLM services, and work closely with product teams while ensuring high autonomy and delivery speed.

The Research Manager will lead AI-powered insight projects, manage client relationships, oversee team execution, and innovate using AI tools to improve insights delivery.

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

Customer-facing AI engineer delivering and productionizing GenAI applications (RAG, multi-agent, Text2SQL, fine-tuning). Own production rollouts, advise customers, present at conferences, and collaborate with product and engineering to shape roadmap and influence priorities.

Design end-to-end AI experiences for consumer and enterprise products: research opportunity areas, prototype agent behaviour/personality, craft UI/UX and brand-aligned visual expression, and work with engineering to build testable, trustworthy AI solutions.

This role involves managing revenue operations, building analytical tools, redesigning processes, and using AI to optimize workflows while collaborating with cross-functional teams.

The Software Engineer will shape AI governance in developer tooling, build product features, collaborate with teams, support users, and innovate rapidly.

Lead AI security technical strategy across customers and field teams. Serve as senior SME in AI security, run discovery workshops, design demos/POVs, create reusable reference architectures, and influence product, PMM, and engineering using field insights. Support strategic engagements, enablement, and thought leadership to scale AI security adoption.

The AI Platform Engineer leads the development of production AI agents and components, collaborates on AI implementations, and maintains AI systems for reliability and observability.

Lead design, development, and production deployment of scalable, secure Data & AI solutions on Databricks and Microsoft Foundry. Define AI technical roadmap, mentor an AI engineering squad, partner with stakeholders to prototype and scale use cases, and enforce AI governance, security, and ethical practices.