Top AI Jobs in Edinburgh

Produces daily 60–90 second AI-generated micro-drama episodes for TikTok, Instagram Reels, and YouTube Shorts. Responsibilities include developing striking visuals, consistent characters, natural voices, audio, purposeful editing, and story-driven visual styles. The role requires prompt engineering, strong editing fundamentals, independent execution, fast delivery, and familiarity with vertical video. Experience in traditional video production, dramaturgy, end-to-end AI video creation, and short-form drama is advantageous.

Leads Colibri’s applied AI capability, setting technical direction, engineering standards, propositions, and team strategy. Guides AI discovery, solution design, client conversations, pre-sales, delivery, and commercial growth. Oversees production AI, architecture, MLOps/LLMOps, testing, evaluation, security, governance, and reusable intellectual property. Mentors senior engineers, develops the practice, builds market presence, and ensures AI solutions are secure, scalable, commercially viable, and production-ready.

Leads complex enterprise customer engagements as a senior technical authority for data and AI architecture. Drives Databricks adoption, consumption strategy, executive relationships, competitive positioning, and large-scale architecture initiatives including migrations, real-time systems, lakehouse platforms, and AI/ML. Orchestrates cross-functional teams, mentors solutions architects, influences senior stakeholders, and contributes to technical thought leadership.

Lead complex, cross-functional Enterprise Technology and AI programs from planning through delivery. Develop roadmaps, resource plans, success metrics, governance frameworks, and status reporting. Align technical and business stakeholders, manage dependencies and risks, resolve blockers, and translate requirements into actionable plans. Partner with IT leadership and functions including Finance, Legal, Sales, and Product in a globally distributed, async-first environment.

Own the function’s AI transformation strategy, prioritize high-impact opportunities, map workflows, and drive measurable adoption. Build and manage AI agents using no-code and low-code tools, configure skills and MCP connections, evaluate agent performance, and iterate solutions. Lead change management, champion networks, cross-functional collaboration, intake processes, and alignment with Enterprise AI and executive stakeholders.

Build and maintain secure, scalable Flow Registry features for GitLab’s agentic platform using Python, LangChain, and LangGraph. Design GraphQL and REST APIs, improve automated testing, optimize PostgreSQL-backed applications, and collaborate across backend, frontend, product, UX, and AI teams. Participate in Tier 2 on-call support, troubleshoot production issues, improve observability, and contribute to responsible AI integration in GitLab’s remote, asynchronous environment.

Lead developer relations across EMEA AI Natives by advising partners, startups, and developers on NVIDIA technologies. Demonstrate AI and computing solutions, create technical enablement resources, guide onboarding and integrations, map ecosystem opportunities, and influence product roadmaps through partner feedback. Collaborate with engineering, product, marketing, sales, and legal teams while delivering technical talks, workshops, mentorship, and strategic developer programs.

Own production NLP and applied AI systems that enrich scientific literature with entities, classifications, claims, and summaries. Design and evaluate classical NLP, embedding, retrieval, and LLM approaches; build scalable Python pipelines; manage cost, concurrency, reliability, and model quality. Collaborate with data engineers on Airflow and Dagster orchestration, contribute to agentic AI applications, and work with editors, product managers, and engineers to deliver research intelligence to users.

Build and operate NLP enrichment pipelines over scientific literature, extracting entities, classifications, claims, and summaries. Compare classical NLP, retrieval, embedding, LLM, and fine-tuned model approaches using evaluations, cost, quality, and operational metrics. Create golden datasets, define evaluation strategies, contribute to agentic AI applications, and collaborate with editors, product managers, engineers, SMEs, and vendors to deliver production modeling systems.

Build and operate production AI systems for go-to-market teams, including account segmentation, scoring, enrichment, buying-signal detection, agentic workflows, prospect research, outbound personalization, call summarization, and CRM hygiene. Own solutions end to end from design through deployment, while optimizing quality, latency, cost, reliability, evaluation, monitoring, and guardrails. Collaborate closely with Marketing, Sales, RevOps, and system users to deliver measurable commercial impact.

Leads Workday HRIS solution design, configuration, testing, implementation, reporting, security, and support across Core HCM, Talent, and Recruiting. Builds AI-enabled HR automation, ensures data governance and compliance, mentors analysts, manages releases and projects, and advises HR leaders on technology strategy and process improvements.

Build and operate Kraken’s internal AI platform, including governed integrations, authentication, internal tooling, evaluation systems, spend controls, identity and access controls, provisioning, vendor configuration, and policy enforcement. Provide technical enablement through documentation, deep dives, and office hours while supporting teams and administering the enterprise AI estate.

Lead field-facing AI security strategy for enterprise customers by designing secure LLM/RAG architectures, delivering demos and POVs, advising on data protection and unsanctioned AI usage, and scaling enablement and product feedback across sales, product, and engineering teams.

Operate from the CEO Office to translate CEO priorities into execution across product, hiring, licensing, partnerships and market launches. Track OKRs, owners, decisions and blockers; prepare briefs and action trackers; coordinate cross-functional teams; identify and close execution gaps; and own urgent business problems that cut across departments.

Join Welo Data’s global contributor network for flexible, remote AI projects. Depending on skills, contributors may annotate text, images, or audio; evaluate search results, advertisements, and chatbot responses; create prompts; and assess cultural and linguistic accuracy. Projects vary from several days to weeks, with compensation and requirements provided before each assignment.

Support and enhance ADI's global compliance program aligned to enterprise risk and ISO 37301. Monitor regulatory developments, update policies, execute risk‑based monitoring and testing, manage investigations and remediation, support audits, develop training and communications, track metrics, and collaborate with Legal, HR, Finance, IT, and Operations to drive continuous improvement.

Lead technical direction for an AI platform connecting workloads to multiple LLM providers. Build API gateway and routing infrastructure, agent orchestration, capability lifecycle tooling, access controls, API key management, caching, cost and latency optimization, adoption analytics, and trust, safety, and governance controls. Define API standards and promotion workflows while supporting auditable, scalable AI services across client engagements.

Leads positioning, messaging, go-to-market strategy, launches, sales and channel enablement for Sophos AI cybersecurity solutions. Develops category narratives, launch assets, competitive intelligence, analyst relationships, customer feedback programs, and partner enablement. Collaborates cross-functionally with product management, research, sales, marketing, and channel teams to translate technical capabilities into differentiated market stories and pipeline outcomes.

Build and maintain backend AI capabilities for GitLab Duo Chat: design flow components and agentic flows in Python/LangGraph, integrate LLMs and multi-agent orchestration, implement and maintain APIs in the Rails monolith, improve observability and reliability, and participate in on-call rotations and cross-functional collaboration to deliver safe, scalable AI chat features.

Leads global AI quality, accreditation, and conformity assessment activities, including obtaining EU AI Notified Body designation, developing regulatory processes, and ensuring consistent certification practices. The role advises internal teams and customers, represents BSI in international technical forums, establishes competency criteria, supports regulatory programs, identifies process improvements, and shapes the AI and machine learning business strategy. It requires expertise in global AI regulations, quality management, legislation, technical product areas, stakeholder influence, and people leadership.

Own the full business development and sales cycle across Europe, including prospecting, partnerships, stakeholder engagement, negotiation, contracting, and closing against revenue targets. Develop channel opportunities, support European go-to-market strategies, communicate customer ROI, attend industry events, and collaborate with Marketing, Product, technology partners, and agencies. Track funnel performance, improve acquisition processes, and share market insights while engaging apparel brands and retailers.

Own the technical design, delivery, evaluation, and reliability of multi-component AI systems. Build data pipelines, evaluation frameworks, model-tool boundaries, feedback loops, and internal development harnesses. Ship LLM-backed products, optimize latency and cost, assess external models and datasets, and support APIs, SDKs, and agent-oriented applications. Participate in on-call rotation, conduct code and design reviews, and mentor engineers on evaluation practices.

Manages occupational health and safety programs across multiple European jurisdictions. Responsibilities include overseeing OHS vendors and training partners, coordinating employee health assessments and safety training, conducting internal compliance audits, answering OHS questions, improving procedures, launching new processes, developing policies with People and Legal teams, and protecting confidential employee information.

Own AI cost visibility features end to end, from Go backend services and APIs processing cloud spend data to TypeScript and React interfaces. Define product direction, understand FinOps and AI economics, build scalable cloud software, and use AI throughout development. Lead design reviews, establish engineering standards, mentor peers, and ensure reliability, usability, and measurable customer impact.

Partner with customers after the sale to deploy, integrate, and optimize AI security solutions across cloud, on-premises, and hybrid environments. Provide technical guidance on Docker, Kubernetes, cloud networking, and infrastructure as code; troubleshoot issues; deliver training and documentation; and serve as the primary technical contact. Capture customer feedback and collaborate with product, engineering, and research teams to improve products and support successful scaling.