Top AI Jobs in Edinburgh

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.

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.

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.

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.

Supports corporate governance, company secretarial, regulatory, and statutory filing activities. Maintains accurate records and documentation, prepares Board and Committee materials, gathers information, monitors regulatory developments, follows deadlines and controls, responds to information requests, and liaises with internal and external stakeholders. The role also contributes to process improvements, AI adoption, reporting enhancements, and governance-related projects. Full training is provided, and prior governance or regulatory experience is not required.

Leads the Security Operations team, overseeing security monitoring, alert investigation, threat hunting, incident response, detection engineering, and threat-informed defense. The role sets the security operations roadmap, manages people and operational capacity, oversees SIEM, EDR, and SOAR capabilities, coordinates major incidents, advises technology and governance teams, and reports threats, incidents, and capability gaps to senior leaders.

Leads business analysis across agile teams by defining requirements, translating business processes into functional specifications, evaluating AI and automation opportunities, supporting QA and UAT, and mentoring Business Analysts. The role also manages team performance, recruitment, development, and succession planning while partnering with Product Owners, Engineering, Testing, architects, and stakeholders to deliver efficient customer-focused solutions.

Principal Engineer in a forward-deployed role, partnering directly with teams to identify opportunities, build production-ready solutions, demonstrate emerging capabilities, and transfer knowledge. The role requires broad engineering expertise, architectural judgment, hands-on development, consulting skills, and practical use of AI with appropriate guardrails and quality controls. Work is hybrid for UK-based employees, with approximately one day per week in Edinburgh or London and occasional client-site travel.

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.

Lead the technical direction and architecture of a major global product area comprising multiple modules. Design scalable distributed cloud systems, shape technical vision and roadmaps, guide engineering teams, make high-stakes architectural decisions, and partner with technical and executive stakeholders. The role is primarily hands-off, with occasional code-level design and proof-of-concept work. Responsibilities also include mentoring engineers, driving modern engineering practices, and enabling AI-powered solutions.

Deliver enterprise and operational risk transformation and advisory services for financial institutions. Assess and enhance risk processes, controls, governance, market abuse frameworks, and trade surveillance capabilities. Support AI-enabled analysis, surveillance model tuning, workflow automation, validation, auditability, and responsible AI practices. Collaborate with business, technology, compliance, and risk stakeholders to identify control gaps and implement data-driven improvements.

Lead or support financial crime transformation initiatives involving sanctions, fraud, AML investigations, operating model redesign, technology enablement, regulatory remediation, control assessment, automation, and responsible AI adoption. The role also contributes to client advisory, proposition development, business development, thought leadership, and potentially team leadership for senior candidates.

Supports analysis and oversight of operational, resilience, vendor, product, and fund risks. The role contributes to governance reporting, committee support, stakeholder queries, emerging-risk reviews, and continuous improvement. It also explores AI, business intelligence, and data visualization tools to improve risk analysis, monitoring, reporting, and processes while developing broader business-risk expertise.

Leads product growth for 1Password’s AI opportunities by defining target markets, validating customer outcomes, running design-customer deployments, developing ecosystem partnerships, and scaling successful motions through sales, channels, and developer communities. The role owns strategy, customer adoption, integrations, commercialization, and cross-functional execution while working with enterprise customers, engineering, product, design, business development, and go-to-market teams.

Design AI-agent experiences that help employees complete complex work while preserving human judgment and accountability. Research current workflows, prototype and test agent interactions, and establish patterns for delegation, permissions, transparency, supervision, escalation, override, rollback, and recovery. Define experience quality measures and design scalable catalog, marketplace, and measurement surfaces. Collaborate with engineering, data science, program management, and product teams to deliver safe, usable AI-enabled systems.

Sell Yell’s AI-powered digital marketing and advertising solutions to prospective and existing SME clients. Responsibilities include engaging cold leads, identifying opportunities, recommending tailored solutions, closing sales, onboarding and managing campaigns, monitoring performance, providing ROI insights and reports, and collaborating with product teams. The role requires strong communication, organisation, digital awareness, resilience, client-management skills, and commitment to UK working hours.

Lead workplace and office fit-out projects across Europe, the Middle East, and Africa. Manage scope, schedules, budgets, risks, quality, governance, technical due diligence, stakeholder alignment, and external project partners. Translate global workplace standards into locally effective outcomes while coordinating designers, architects, engineers, contractors, suppliers, and internal teams. Travel within Europe and occasionally internationally as project needs require.

Lead Alpaca’s global Trading API customer experience organization, including General and VIP Support. Build a follow-the-sun coverage model, establish service standards and KPIs, improve support through data, AI, automation, and self-service, and develop high-performing teams. Partner with Product, Engineering, Trading, Operations, Compliance, and Sales to resolve recurring issues, improve customer workflows, and support institutional trading customers.

Leads client-facing research and advisory work on IT procurement strategies, technology adoption, AI-enabled procurement, category management, sourcing, contracts, supplier relationships, and vendor risk. Develops market insights, actionable recommendations, presentations, and thought leadership for Gartner clients and events. Supports sales, collaborates with analysts, reviews content, improves research processes, and advises executives on procurement transformation.

Leads research and advisory work for CIOs on data, analytics, and AI strategy, governance, operating models, architecture, value realization, and emerging technologies. Develops thought leadership, market analysis, presentations, and actionable client guidance; evaluates agentic and composite AI, modern data platforms, AI-ready data, organizational maturity, and capability-building needs. Represents Gartner at client meetings and conferences, supports sales, mentors colleagues, and shapes research agendas.

Own and deliver account-based marketing programs for strategic UK financial adviser accounts. Develop personalized 1:1 and 1:few campaigns, coordinate sales and marketing activation, manage account journeys, and measure engagement, buying committee penetration, pipeline progression, and commercial impact. Champion ABM best practices, data-driven targeting, personalization, and sales alignment across platform marketing.

Analyze psychological case studies and AI-generated content, develop culturally sensitive Cantonese-English scenarios, and evaluate accuracy, ethics, and alignment with psychological best practices. The role requires documenting findings, identifying cultural and linguistic issues, and collaborating with interdisciplinary teams to improve AI-generated psychology content. Applicants must hold a PhD in Psychology or a related discipline, possess native or near-native Cantonese and fluent English, and have clinical or academic psychology experience.

Leads and scales Netskope’s EMEA Solutions Engineering organization across multiple countries. The role owns pre-sales methodology, talent development, operating models, technical win rates, pipeline progression, and revenue partnership. It requires executive engagement with strategic customers, collaboration with Sales, Product, Engineering, and Marketing, and expertise in cybersecurity, cloud, SASE, SSE, ZTNA, and AI security. The leader will also drive AI-enabled workflows, automation, organizational transformation, and technical positioning in complex enterprise opportunities.