Top AI Jobs in Edinburgh

Build and lead an AI-native consumer finance business spanning spending, saving, investing, and everyday financial workflows. Responsibilities include defining product strategy, roadmap, business model, and AI capabilities; owning P&L, growth, revenue, unit economics, and operations; launching and scaling products; collaborating with product and engineering teams; building a cross-functional team; and expanding into new markets.

Leads research and thought leadership on AI-driven HR strategy, transformation, governance, workflow redesign, regulatory environments, and value realization. Produces actionable insights across written, visual, video, and presentation formats; advises CHROs and senior HR leaders; analyzes market trends, vendors, technologies, and client challenges; supports sales and conferences; mentors analysts; and improves research processes.

Own daily operations and quality assurance for an internal AI-powered growth platform. Test releases, rule changes, edge cases, and regressions; document and verify bug fixes; monitor platform and agent activity; manage approval queues; evaluate agent output; escalate risks; and maintain test plans, QA checklists, runbooks, and release notes.

Provide empathetic email-based support for Overleaf and Papers AI users, handling technical, billing, and account inquiries. Maintain and create knowledge-base content, report reproducible bugs, refine support processes, and collaborate with Product, Engineering, Sales, Marketing, Customer Engagement, and Finance. Monitor support trends and surface user feedback while helping establish support documentation and playbooks for an early-stage AI product.

Leads the mid-market business development function, including team building, territory strategy, prospecting, negotiation, closing, pipeline management, and account acquisition and retention across pharma and biotech. Partners with marketing, strategy, and commercial operations on go-to-market execution. Represents the company at industry events and develops relationships with clinical trial sponsors while selling complex AI-powered SaaS solutions.

Build and operate data pipelines across Salesforce, HubSpot, Stripe, and Databricks; maintain go-to-market analytics models and dashboards; develop LLM-based agents and automations for Sales, Marketing, and Finance; and productionize integrations with testing and monitoring.

Build and deploy production machine learning systems for classification, retrieval, ranking, personalization, and evaluation. Develop training and inference pipelines, improve model quality and efficiency, create evaluation datasets and metrics, monitor production performance, debug issues, and ship reliable ML-powered features. The role emphasizes balancing accuracy, relevance, latency, cost, privacy, and reliability while collaborating with engineering and product teams.

Lead technical design and delivery of AI-native email applications. Own architecture and implementation across backend, frontend, APIs, databases and cloud. Stay hands-on writing and reviewing code, debugging production, mentoring engineers, driving major initiatives, improving tooling, and ensuring reliability, security and observability while collaborating with product, design and AI teams.

Own and build Oversee’s product marketing function, including ICP definition, positioning, persona messaging, competitive and win/loss research, product content, sales enablement, and end-to-end product launches. Partner closely with product, sales, growth marketing, and executives to translate technical AI and travel technology capabilities into compelling commercial messaging, establish repeatable GTM processes, and measure launch performance.

Own and grow a UK enterprise territory, retaining strategic accounts and expanding Gartner relationships. Engage CIOs, CTOs, CDOs, and other senior executives on AI, cloud modernization, cybersecurity, cost optimization, data strategy, and digital transformation. Prospect for new opportunities, lead consultative executive conversations, align Gartner insights and services to client priorities, and achieve retention, renewal, and quota goals through complex B2B sales.

Lead global Account Executive enablement by designing and delivering training, coaching, certifications, and sales methodology programs. Improve opportunity progression, conversion rates, deal quality, forecast accuracy, and sales cycle efficiency. Partner with Sales Leadership, Product Marketing, GTM Strategy, Revenue Operations, and regional teams to align programs with business priorities. Drive adoption of AI-assisted selling workflows for research, discovery preparation, stakeholder mapping, deal strategy, and follow-up creation.

Designs and demonstrates tailored AI security solutions for prospective clients, leads proof-of-concept projects, provides technical support, conducts training, and collaborates with sales, product, engineering, and research teams. The role requires expertise in cybersecurity, AI workflows, cloud infrastructure, Python, MLOps, and solution architecture, along with strong communication and presentation skills. This is a fully remote UK-focused position with travel to client sites and industry events as needed.

Build and expand strategic relationships with advisors, investors, partners, and enterprise decision-makers. Identify key stakeholders across top accounts, uncover relevant AI use cases, and create introductions that generate pipeline and business outcomes. Represent the company at executive and industry events, partner with founders to prioritize relationships, and track relationship activity and pipeline impact. The role requires strong analytical ability, executive presence, autonomy, and an established enterprise or investment community network.

Leads research and thought leadership on procurement technology, CLM, S2P, procurement orchestration, and AI-enabled procurement. Advises senior executives on digital transformation, technology investments, vendor selection, implementation, governance, and adoption. Evaluates procurement technology providers, publishes market research, develops methodologies, and presents findings through conferences, webinars, and executive discussions.

Design, build, deploy, and optimize scalable AI and machine learning systems using large datasets. Develop predictive models, recommendation systems, personalization engines, forecasting solutions, generative AI applications, and production ML pipelines. Collaborate with data, backend, and product teams to integrate models into applications, while monitoring performance, data quality, drift, reliability, and cost. Establish best practices for evaluation, experimentation, reproducibility, and deployment, and research emerging AI technologies.

Designs and owns global digital marketing strategies across acquisition and customer expansion. Responsibilities include campaign architecture, paid media, ABM, nurture, conversion optimization, regional localization, budget allocation, performance analysis, marketing technology improvements, data hygiene, and AI-enabled campaign operations. The role makes commercial trade-off decisions to maximize pipeline and expansion revenue, collaborates with sales and creative teams, and defines account-level measurement frameworks.

Conducts qualitative and quantitative research on technology partner ecosystems, alliances, marketplaces, channels, and go-to-market strategies across EMEA. Responsibilities include survey design, data analysis, executive interviews, market research, written thought leadership, consulting support, client presentations, webinars, and trend analysis involving AI and cloud ecosystems.

Owns full-cycle enterprise sales for Cloudera’s supported Mistral offering and Anywhere Cloud, from prospecting and proof of concept through negotiation, close, renewals, and expansion. Develops pipeline, manages complex multi-threaded deals, engages C-level stakeholders, coordinates technical, product, legal, and implementation teams, and positions AI solutions within customers’ data strategies and hybrid environments.

Own production Python data pipelines, ETL/ELT workflows, and the ontology powering an AI platform. Integrate warehouses and business applications with graph databases and vector stores, while managing deployment tooling, cloud infrastructure, monitoring, and security. The role begins as hands-on individual contribution and develops toward technical leadership through mentoring and architecture ownership.

Provides technical leadership for agentic AI and conversational support experiences. Designs AI behaviors, decision logic, workflows, guardrails, retrieval, tool use, human handoff, and evaluation frameworks. Partners with product, operations, data science, platform, QA, security, and knowledge teams to deliver reliable production solutions. Mentors AI engineers, establishes reusable standards, monitors quality and business outcomes, and evaluates emerging AI technologies.

Lead Kraken Pro’s social media strategy across X, Telegram, and other platforms. Create platform-native content, react quickly to crypto and trading trends, manage the content calendar, engage the community, translate product updates into compelling narratives, track performance, and optimize through experimentation. Partner with Legal and Communications to ensure accurate, compliant messaging across regions.

Review and annotate short video and audio clips for AI training and evaluation. Assess AI-generated descriptions for accuracy, relevance, and appropriateness; flag potentially inappropriate or ambiguous content; provide concise feedback; and maintain consistent annotation quality while following confidentiality, data protection, and moderation guidelines in a remote environment.

Leads the FCA’s Agentic AI and Data Science Research function, setting AI strategy, governance, research ethics, data science standards, and long-term capability roadmaps. The role directs horizon scanning, responsible AI adoption, model assurance, and advanced analytics initiatives supporting regulation, financial crime reduction, and organisational effectiveness. It provides senior technical advice, leads multidisciplinary teams, develops talent, and influences executive, board, regulatory, and technology stakeholders.

Owns end-to-end enterprise AI sales for Cloudera’s supported Mistral offering and Anywhere Cloud. Responsibilities include pipeline development, strategic account planning, outbound prospecting, proof-of-concept leadership, technical and executive selling, deal negotiation, forecasting, and expansion revenue. The role coordinates engineering, product, legal, implementation, partners, and account teams while positioning AI solutions within customers’ data strategies and hybrid infrastructure.

Lead and scale an AI-driven creative design team producing performance marketing assets for paid media. Own creative direction, production workflows, quality control, testing, and performance-driven iteration. Develop AI tool expertise, prompt and style libraries, and automated workflows with engineering partners. Collaborate with marketers, media buyers, copywriters, producers, and video editors while remaining hands-on with design and AI tools.