Top AI Jobs in Edinburgh

Analyze historical service-operation data and produce short- and long-term volume forecasts, including interval-level projections. Identify trends and root causes, recommend service-level improvements, collaborate with Marketing, Product, Strategy, and Machine Learning teams, and use generative AI to enhance insights. The role also supports project initiatives, process improvements, leadership recommendations, and workforce-planning activities across UK and international markets.

Supports Technology & Operations FP&A through expense forecasting, financial modeling, cost reporting, performance analysis, and governance. Partners with Enterprise Services, Controllers, and Sourcing teams to challenge assumptions, communicate risks, improve reporting processes, and deliver actionable insights to senior management. The role also uses advanced Excel, automation, and AI tools to streamline workflows and enhance financial analysis.

Manage full-cycle technical recruiting for Engineering, Product, Security, UX, and R&D roles. Partner with hiring leaders on role definition, structured interviews, sourcing strategy, market research, candidate assessment, pipeline management, and offer negotiations. Build diverse talent pipelines, use recruiting data to guide decisions, maintain accurate Greenhouse documentation, deliver an inclusive candidate experience, and improve recruiting practices through responsible AI use and shared resources.

Manage full-cycle recruiting for go-to-market roles across sales, marketing, customer success, professional services, and related teams. Partner with hiring leaders, build diverse talent pipelines, conduct structured assessments, use market and funnel data to guide hiring, manage candidate experiences, negotiate offers, and maintain recruiting documentation. The role also involves improving recruiting practices, responsibly using AI, and advising stakeholders in a globally distributed, remote-first environment.

Design, build, and operate cloud-native AI infrastructure and platform services to support model development, training, evaluation, and inference. Implement IaC and automation, enable ML/LLM production deployments within governed enterprise environments, build observability and monitoring, collaborate with security and cross-functional partners, and support on-call/operational duties.

Build scalable, full-stack, AI-enabled products for BlackRock’s Aladdin investment compliance and analytics workflows. Lead technical design, implementation, testing, deployment, production support, and continuous improvement. Apply generative AI, semantic search, retrieval, intelligent assistants, and agentic workflows responsibly. Partner with product, engineering, compliance, and business stakeholders to translate complex requirements into deliverable solutions. Influence architecture, champion DevOps and SRE practices, mentor engineers, and promote quality, resilience, security, observability, and maintainability across a global organization.

Own and grow strategic UK public sector accounts by acquiring enterprise customers, expanding existing relationships, managing the full sales cycle, developing account plans, presenting value-based solutions, coordinating technical and customer success resources, and achieving sales quotas. The role requires consultative solution selling, executive communication, knowledge of Git and software development tools, and travel when needed.

Leads software architecture, engineering standards, technical strategy, and delivery for digital asset capabilities within a bank. Designs and deploys resilient, high-performance systems spanning data, integration, platforms, cloud, APIs, and user-facing technologies. Manages technical delivery across engineering teams, advises on roadmaps and migrations, ensures security and scalability, and develops an AI-enabled engineering operating model. Requires expertise in fintech, Web3, blockchain, distributed ledger technology, cloud, DevSecOps, and complex end-to-end solution delivery.

Leads first-line risk and control advice across retail and customer operations, focusing on regulatory, conduct, and operational risk. Modernizes controls through AI, automation, data-led monitoring, preventative design, and reliable evidence. Advises stakeholders on governance, human oversight, explainability, and customer outcomes; identifies control weaknesses, supports change initiatives, reports to governance forums, and coaches colleagues on responsible AI and modern control practices.

Leads the People Technology team and multi-year strategy across Oracle HCM, digital tools, AI, automation, data, integrations, vendors, and governance. Owns the technology roadmap, investment portfolio, operating model, risk oversight, and enterprise partnerships while improving colleague experience, operational efficiency, regulatory compliance, and measurable business value. Builds a high-performing team and advises senior People and technology leaders in a regulated environment.

Implements InterSystems healthcare software solutions by assessing customer processes, advising on standard product fit, minimizing customization, and guiding successful adoption. Conducts customer training, workshops, and presentations; creates functional documentation; maps business processes; collaborates with multidisciplinary teams; and supports product implementation. The role requires strong customer-facing and consultative skills, healthcare information systems knowledge, and willingness to travel extensively, potentially spending up to five days away from home weekly.

Conduct organic chemistry synthesis research under the King-Smith Group to advance AI-guided chemistry. The role involves completing research projects, applying machine learning concepts to synthesis, communicating findings effectively, and contributing to a collaborative academic research environment. The position is full-time, fixed-term for 24 months, with part-time and flexible working arrangements potentially available.

Leads economists, econometricians, and data analysts delivering applied economic, econometric, machine learning, and policy analysis for communications regulation. Responsibilities include directing concurrent projects, evaluating policies, shaping regulatory decisions, communicating findings to stakeholders, producing publications, and mentoring colleagues. The role requires extensive real-world economic analysis experience, strong applied microeconomics and econometrics expertise, analytical software proficiency, and the ability to lead teams and develop innovative quantitative approaches.

Lead the AI Acceleration Centre, developing frameworks, governance, operating models and capabilities that help technology teams adopt AI-enabled software delivery. Identify and prioritize AI opportunities, implement solutions across business programs, coach delivery teams, and drive enterprise-wide adoption while maintaining security, privacy, architecture and engineering standards. Partner with senior technology, business, risk and governance stakeholders to deliver measurable value at scale.

Serves as the technical authority for a GitLab product group across complex enterprise pre-sales opportunities. Leads technical discovery, architecture, workshops, demonstrations, Proof of Value evaluations, executive briefings, competitive positioning, and customer handoffs. Builds reference architectures, demo environments, playbooks, battlecards, and enablement content while mentoring Account Solutions Architects. Partners with Product, Engineering, Marketing, and post-sales teams to deliver customer feedback, adoption, and production outcomes.

Provides commercial and technology legal advice across IT, telecommunications, intellectual property, data protection, SaaS, outsourcing, licensing, and technology transactions. Responsibilities include drafting and negotiating contracts, advising clients, managing files, supporting partners on complex deals, developing client relationships, contributing to business development, and participating in marketing events.

Own the B2B sales pipeline and revenue for AI and data services. Responsibilities include outbound prospecting, qualifying technical buyers, managing complex pilots and recurring contracts, developing partnerships and channels, shaping pricing and commercial terms, protecting margins, and feeding customer demand into product and operations. The role requires experience selling AI/ML data, annotation, licensing, or related technical services to research and enterprise buyers.

Lead NVIDIA’s engagement with AI-native startups, scaleups, and labs. Understand customer needs, develop AI technology solutions, coordinate technical and business resources, drive adoption and partner growth, create customer references and case studies, identify emerging use cases, and represent NVIDIA at industry events.

Owns planning, activation, optimization, testing, budgeting, and reporting for paid campaigns across TikTok, Meta, and YouTube. Manages $1M+ budgets, presents data-driven recommendations to clients, tracks platform changes, and partners with strategy and creative teams. The role also mentors a Paid Media Executive and establishes team standards for campaign QA, reporting, naming conventions, and optimization practices.

Define the vision, strategy, requirements, and roadmap for AI products. Collaborate with engineering, design, and marketing teams to deliver solutions, conduct market and competitive research, analyze product performance, and iterate based on customer feedback and data.

Lead customer deployments of platform services from pre-kickoff through closure. Manage project plans, schedules, budgets, resources, risks, documentation, and technical teams. Coordinate with customers, sales, product, support, engineers, and consultants to ensure high-quality delivery. Apply Agile and waterfall methodologies, conduct post-implementation reviews, and use AI technologies to improve workflows and decision-making. Strong SIEM knowledge, particularly in security-focused IT projects, is required.

Oversee sales operations planning and execution, using AI, analytics, and automation to monitor pipelines, quotas, segmentation, KPIs, and sales performance. Partner with stakeholders across regions to improve processes, reporting, productivity, and business outcomes. Identify performance gaps, recommend corrective actions, drive standardized tools and processes, and enable sales teams through change management, training, and stakeholder engagement.

Manage NVIDIA’s relationships with AI-native startups, scaleups, and labs. Identify customer needs, develop AI solution strategies, drive adoption of NVIDIA platforms, coordinate cross-functional and partner resources, create customer references and case studies, develop emerging use cases, and represent NVIDIA at industry events. The role requires strategic market analysis, AI business development expertise, ecosystem relationships, and strong communication skills.

Manage a complex global enterprise influencer marketing account spanning multiple brands, regions, stakeholders, and concurrent campaigns. Coordinate creative, paid media, creator partnerships, and product teams; lead onboarding, briefs, scopes, budgets, timelines, platform demonstrations, and delivery. Analyze campaign performance, present executive reporting, develop recommendations, protect revenue, maintain operational accuracy, and relay client insights to product teams. Requires extensive creator marketing experience, TikTok fluency, AI-enabled workflows, strong organization, and enterprise account servicing skills.

Owns strategy and growth for a defined market segment within CluePoints’ clinical-trial SaaS portfolio. Responsibilities include developing go-to-market strategies, coordinating product, marketing, sales, consulting, customer success, and finance teams, enabling teams to launch and support products, advising strategic customers, and leading user communities. Success is measured through market penetration, win rate, retention, NPS, and gross margin.