Top AI Jobs in Edinburgh

Lead technical discovery and solution design for B2B SaaS customers. Design API, webhook, identity, automation, and AI integrations; build prototypes and demonstrations; address security, privacy, permissions, and data quality; resolve technical blockers; and provide implementation handoffs. Collaborate with sales, product, engineering, partners, and marketing to influence architecture decisions, support revenue growth, develop reusable technical assets, and share insights on emerging AI technologies and customer needs.

Manage full-cycle recruiting for GTM roles across Sales, Marketing, Customer Success, and related teams. Own 12–15 requisitions, lead intake meetings, build diverse talent pipelines, assess candidates, manage stakeholder expectations, analyze recruiting data, coordinate interviews, deliver candidate communications, negotiate offers, and improve recruiting practices using responsible AI and market insights.

Participate in an eight-week technical sales internship focused on cybersecurity products. Learn product knowledge, technical requirements, sales processes, and certifications; perform hardware and software testing; support technical sales tools and workflows; collaborate with sales and engineering teams; and create technical demonstrations and collateral for customers, partners, and internal stakeholders.

Leads AI transformation, governance, quality oversight, risk management, and responsible adoption across Pfizer Global Supply and QSEO. Establishes GxP-compliant AI lifecycle practices, inspection-readiness frameworks, governance forums, portfolio monitoring, inventory management, metrics, and reporting. Advises senior leaders on AI regulations, deployment risks, investment priorities, and compliance while leading cross-functional initiatives and influencing stakeholders across Quality, Digital, Operations, and R&D.

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.

Drive complex sales opportunities and account growth across existing enterprise clients in the UK. Build executive-level relationships, identify new opportunities, develop account plans, lead internal virtual teams, present value propositions, manage sales cycles, and meet or exceed individual quotas. The role requires selling technically complex cybersecurity solutions and leveraging AI technologies to improve decision-making and business outcomes.

Provides independent, risk-based security assurance for AI capabilities across cloud, SaaS, hybrid, and internally developed environments. Reviews AI architectures, controls, risks, monitoring, and security posture; validates findings and remediation; develops AI assurance frameworks, inventories, criteria, and control baselines; and advises stakeholders on pragmatic risk treatment. Key focus areas include prompt injection, data exposure, model poisoning, identity, guardrails, supply-chain security, resilience, and incident response.

Identifies and prioritizes high-value AI opportunities across the organization. Facilitates discovery workshops, maps processes, gathers requirements, influences senior stakeholders, and collaborates with technical teams to design AI-enabled solutions. Manages an AI initiative pipeline, supports AI adoption strategy, promotes business analysis best practices, and contributes to innovative projects involving financial crime and consumer protection.

Leads research and production development of generative AI and large language model systems for cybersecurity. Responsibilities include defining AI research strategy, developing novel reasoning and summarization approaches, selecting model architectures and deployment strategies, building large-scale production systems, mentoring scientists, establishing evaluation standards, and guiding cross-functional technical initiatives. The role also represents the company through publications, speaking engagements, and technical thought leadership.

Lead research developing interpretable AI-for-science methods for quantum computing. Responsibilities include designing research software and experiments, evaluating AI-assisted scientific work, conducting failure analysis, collaborating with quantum researchers, publishing findings, releasing research artefacts, coordinating technical work, supporting junior researchers, and contributing to future proposals.

Leads Citi’s global Complex Assets franchise across OTC derivatives post-trade services, middle office, and fund accounting. Owns enterprise strategy, P&L, operations, risk controls, client relationships, organizational leadership, technology transformation, and cross-business collaboration. Develops transformation roadmaps, drives innovation using AI, machine learning, cloud infrastructure, and automation, and represents the business with executive stakeholders, institutional clients, industry bodies, and regulators.

Provides commercial, technology, IT, intellectual property, telecommunications, data protection, and privacy advice. Responsibilities include drafting and negotiating outsourcing, SaaS, licensing, services, supply, distribution, and collaboration agreements; advising technology and financial services clients; managing files; supporting partners on complex transactions; developing client relationships; assisting with business development; and participating in marketing events.

Conduct original research in embodied and spatial AI, focusing on 3D perception, spatial reasoning, multimodal models, world models, navigation, learning from interaction, and intelligent agents. Publish research, collaborate across AI and robotics, help shape the research programme, and support supervision and mentoring of student projects.

Drive Azure and AI solution sales across UK corporate customers by identifying opportunities, building pipeline, forecasting territory performance, and leading value-based customer conversations. Collaborate with account teams, solution engineers, partners, and services to design deployment plans, qualify opportunities, remove blockers, close deals, and accelerate customer cloud adoption and value realization.

Serve as a technical advisor to ISPs throughout discovery, demonstrations, proof-of-concepts, integration, deployment, and support. Integrate Plume solutions with customer BSS/OSS, CRM, ticketing, and AI platforms. Partner with sales to drive revenue, deliver presentations and QBRs, support trials, provide product feedback, and stay current on networking, cloud, and AI technologies. The role is remote within the UK or Netherlands and requires travel exceeding 70%.

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.

Lead EMEA channel strategy and growth by developing strategic relationships with VARs, system integrators, and MSPs. Manage partner pipelines, forecast sales, recruit new partners, negotiate contracts, identify business opportunities, and increase revenue from existing accounts. Serve as a subject matter expert on Akamai’s cloud, security, and edge platform, while collaborating on partner enablement, sales training, and certifications.

Lead end-to-end product design for AI security and agentic experiences within an enterprise cybersecurity platform. Responsibilities include user research, complex workflow and information architecture design, prototyping, validation, design-system governance, Object-Oriented UX, and translating cybersecurity data into intuitive interfaces. The role partners closely with Product, Engineering, and Research, uses customer insights and behavioral analytics to measure outcomes, and advances scalable, accessible AI-powered product experiences.

Lead strategic mixed-methods insight programmes from proposal through debrief, combining qualitative, quantitative and AI-powered research. Build senior client relationships, translate consumer and commercial insight into recommendations, grow accounts and win new business. Manage project costs, resources and profitability while mentoring teams, improving delivery standards and championing innovative ways of working.

Serve as product and privacy counsel to Product and R&D, advising on EU AI Act readiness, digital regulation, privacy, open-source licensing, AI-related IP, and technology contracts. Partner with engineering, sales, and commercial teams on product reviews and enterprise deals. Develop legal requirements, compliance roadmaps, templates, playbooks, training, and scalable self-service legal processes.

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.

Owkin seeks spontaneous applications from biologists, clinicians, computational biologists, bioinformaticians, data scientists, and AI scientists working on biomedical questions. Candidates should have advanced training in biomedical sciences, medicine, bioinformatics, or a related field; hands-on biomedical, clinical, or omics data experience; and enthusiasm for applying AI to biology in multidisciplinary teams. Suitable profiles may be considered for current or future opportunities.

Owns new-logo sales for managed data, cloud, and AI services across the full sales cycle. Builds a territory and self-generated pipeline, conducts consultative discovery, develops commercial cases, shapes pricing and contracts, coordinates transitions, co-sells with AWS and Databricks, forecasts recurring revenue, and wins multi-year managed services agreements.

Own the strategy, roadmap, development lifecycle, and go-to-market activities for fraud analytics products. Lead customer discovery, prioritize product improvements, analyze complex data, collaborate with development and data science teams, and use market and customer insights to improve user outcomes. The role requires fraud prevention expertise, statistical modeling and AI/machine learning knowledge, strong stakeholder communication, and flexible UK-US working hours.

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.