Top AI Jobs in Edinburgh

Leads complex supply chain software implementations for customers, including requirements discovery, business process design, advanced configuration, testing, troubleshooting, deployment workshops, and user training. Applies optimization models and AI algorithms to supply chain planning scenarios. Provides functional leadership, customer guidance, escalation management, and mentorship to junior consultants. Requires expertise in forecasting, MRP, constraint management, production scheduling, and supply chain platforms.

Leads delivery of cloud platforms supporting large-scale transformation, including migration, modernization, and new builds. Establishes architectural principles and platform strategy with senior stakeholders, drives technology direction, and develops platform capability and team members. Advises on AI strategy, governance, and ROI while applying AI responsibly to improve delivery outcomes. Builds standards, blueprints, customer relationships, and account strategies, and contributes to organizational platform engineering, developer productivity, and emerging technology adoption.

Leads an engineering team developing secure developer tools, hardened GitHub Actions, AI agent capabilities, and microVM-based products. Owns product roadmaps, hiring, team growth, technical design, code reviews, delivery, quality, reliability, and customer feedback loops. Partners with Product to prioritize and ship iteratively in an autonomous, ambiguous environment while remaining technically hands-on.

Owns Infinigate Cloud’s AI Productivity portfolio, driving revenue, profitability, partner activation, pipeline, and adoption of Microsoft 365, Copilot, and Azure AI solutions. Develops go-to-market campaigns, recruits and grows strategic partners, manages Microsoft and partner relationships, and provides UK&I subject-matter expertise. Supports partner enablement, events, webinars, process improvements, and internal coaching while maintaining strong customer satisfaction and commercial performance.

Write addictive 1–3 minute AI-generated micro-drama episodes and complete series arcs for women aged 35–55. Create strong hooks, emotional stakes, cinematic scenes, and cliffhangers using Claude, GPT, and other AI tools. Test formats, analyze performance data, identify plot holes and continuity issues, and provide feedback on final episodes. The role is fully remote and requires native-level English, visual storytelling ability, and strong attention to detail.

Own the backend and agent systems powering LLM products, including multi-turn conversations, tool calling, RAG, state management, evaluations, monitoring, and production reliability. Diagnose failures across models, knowledge systems, tools, and infrastructure; establish regression testing and quality measurement; and guide product and technical decisions. The role requires shipping and improving LLM features at scale, strong backend engineering, disciplined evaluation practices, and preferably Web3 experience.

Own the quality strategy and end-to-end testing pipeline for an AI-generated product handling real-money transactions. Build automated UI, browser, mobile, pre-merge, nightly, release, and production testing gates; integrate testing with CI/CD; evaluate external tools; and improve reliability of critical financial flows. The role partners with engineering and DevOps, uses AI coding agents daily, and drives quality initiatives as an autonomous individual contributor.

Leads Gartner’s AI Infrastructure investment research practice, producing market insights, predictions, strategic investment frameworks, and client advice across semiconductors, AI hardware, data centres, and compute. The role requires translating complex technical architectures into commercial and investment insights, presenting to executives and institutional investors, supporting sales and conferences, mentoring analysts, and shaping research agendas.

Build modular, config-driven AI video generation pipelines for mobile gaming advertisements. Integrate fal.ai models and APIs, orchestrate reliable asynchronous jobs, manage retries and resumable execution, track costs, and use FFmpeg for video assembly, subtitles, overlays, audio mixing, and format conversion. Document workflows so marketing teams can operate them without coding, while collaborating with creative specialists and demonstrating a working pipeline.

Lead a zero-to-one AI learning product from market discovery through product-market fit, adoption, and maturity. Engage clients, demonstrate AI capabilities, shape product strategy, enable revenue teams, and represent the product externally. Apply learning theory and customer insights to guide feature priorities, partner with design on UX, and maintain practical expertise in LLMs, agents, multimodal AI, and responsible product decisions.

The Customer Business Analyst supports client delivery by leading discovery workshops, translating business needs into requirements and user stories, designing AI-driven workflows, and analyzing product performance. The role owns test strategies, acceptance criteria, UAT, AI output validation, and continuous improvement. It requires business analysis experience, preferably in insurance, strong stakeholder management, client-facing workshop facilitation, and practical experience with AI tools, prompt engineering, and LLM limitations.

Join Welo Data’s Hungarian contributor network for flexible, remote AI data projects. Depending on project needs, contributors may annotate text, images, or audio; evaluate search results, advertisements, or chatbot responses; create and test prompts for large language models; and assess cultural and linguistic accuracy. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation.

Leads enterprise Microsoft 365 transformation initiatives focused on SharePoint Online, Power Platform, Copilot, AI agents, automation, security, compliance, and governance. Architects and implements collaboration solutions, migrates legacy platforms, configures Purview and related controls, and develops AI governance strategies. Provides technical leadership, client engagement, workshops, training, and ongoing support while coordinating project risks and dependencies. Requires availability during Eastern Time business hours and deep Microsoft 365, security, programming, database, and cross-tenant migration expertise.

Lead the architecture and evolution of a Snowflake-based operational data platform. Design secure, governed, scalable data warehouse solutions, real-time ingestion, API integrations, AI-enabled capabilities, and natural-language querying interfaces. Define data flows, schemas, roadmaps, architectural standards, and governance while collaborating with engineering, data, business, and executive stakeholders. Troubleshoot complex platform issues, guide technical direction, and promote modern data engineering practices across enterprise systems.

Leads architecture and evolution of Snowflake-based operational data platforms, including real-time ingestion, AI-enabled capabilities, API integrations, data modeling, governance, and secure enterprise data flows. Partners with engineering, data, and business stakeholders to define roadmaps, standards, and technical direction while troubleshooting complex systems and communicating architecture decisions to technical and executive audiences.

Lead complex B2B technology sales, personally originating and closing software development, AI consulting, digital transformation, and technology consulting engagements. Build C-suite relationships, manage consultative discovery, shape commercial propositions with technical teams, and grow strategic accounts. Take AI and Agentic AI capabilities to market while owning pipeline development, forecasting, qualification, negotiations, revenue targets, and sales process improvement.

Own and improve People Operations systems across HiBob, Ashby, and Remote. Build automations, workflows, and AI agents; maintain data integrity and integrations; manage onboarding and employee lifecycle changes; create SOPs; and establish validation, alerts, and compliance safeguards. The role partners with stakeholders on UK employment matters while continuously reducing manual work and improving process speed, accuracy, and employee experience.

Senior Product Marketing Manager responsible for launching Kimchi, Cast AI’s agentic AI infrastructure platform. The role owns customer research, ICP definition, positioning, messaging, GTM experiments, feature launches, sales enablement, competitive intelligence, and roadmap feedback. The manager will translate technical differentiation for developer and technical audiences, collaborate closely with Product and Engineering, and build AI-assisted workflows. This is a hands-on, zero-to-one role in a remote-first global environment.

Lead customer engagements building and productionizing AI and generative AI applications on Databricks. Responsibilities include architecture, technical delivery, client advisory, team leadership, workshops, MLOps, production pipelines, stakeholder communication, and technical enablement. The role requires strong Python, cloud, MLflow, Databricks, PySpark, SQL, Delta Lake, governance, LLM, and modern AI framework expertise in a consulting environment.

Lead technical customer-facing GenAI engagements for EMEA digital-native and startup customers. Design and productionize LLM solutions including RAG, agents, fine-tuning, evaluation, safety, and MLOps on Databricks. Build proofs of concept and reference implementations, advise customer roadmaps, partner with Product and Engineering, mentor field teams, and represent Databricks through technical content and executive briefings.

Design and deliver secure, scalable Azure data platforms for global enterprise customers. Lead architecture engagements, roadmaps, proofs of concept, pilots, and production deployments across Microsoft Fabric, Azure Databricks, databases, governance, and AI workloads. Own technical delivery, workload health, resiliency, security, capacity optimization, and adoption outcomes. Resolve technical blockers, collaborate with product and engineering teams, develop reusable implementation assets, and mentor others while enabling Azure consumption and production-scale AI scenarios.

Designs and operates secure, scalable AWS infrastructure and reusable Terraform modules. Owns CI/CD, GitOps, observability, reliability, automation, and cost optimization. Builds production platforms for AI agents and LLM-backed services, including identity, access controls, secrets, evaluation, regression testing, and operational safeguards. Mentors engineers, communicates technical trade-offs, and supports broader platform and developer-experience strategy.

Design and develop AI runtimes and cross-stack optimizations for CPU, GPU, and accelerator platforms. Improve performance through caching, data locality, networking, profiling, and benchmarking. Collaborate with compiler, kernel, serving, model, infrastructure, tooling, and customer success teams to deliver high-performance AI systems and address customer requirements.

Lead the global Point of Sale product organization across hospitality, retail, and service markets. Own POS vision, strategy, roadmap, commercial outcomes, payments attachment, AI capabilities, and platform evolution. Manage and develop multiple Product Manager teams while partnering with Engineering, Design, Data, Sales, and executive leadership. Drive merchant growth, adoption, revenue, and roadmap delivery across international markets, presenting major product decisions to executives and the board.

Join Welo Data’s Swedish AI Trainers Network as a flexible, remote contributor. Participants may annotate text, images, or audio; evaluate search results, advertisements, and chatbot responses; create prompts; and review cultural and linguistic accuracy for AI systems. This is a talent community rather than an active opening. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation.