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.

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.

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.

Lead information security activities across internal systems and client engagements. Responsibilities include security awareness and phishing simulations, vulnerability resolution, AI tool governance, audit preparation for Cyber Essentials Plus and ISO 27001, incident response, threat management, SOC leadership, and pre-sales security support. The role also advises teams on secure AI adoption, cloud and infrastructure security, supplier management, and cost-effective technology usage.

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.

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.

Participate in a 12-month data science graduate programme, developing models and AI solutions across their full lifecycle. Apply statistical analysis, machine learning, data visualization, and cloud technologies to complex business problems. Collaborate with engineers, analysts, and cross-functional teams to generate actionable insights while developing expertise in responsible AI, data privacy, and customer-focused innovation.

Build and own evaluation infrastructure for AI agents, including CI/CD pipelines, scorers, datasets, annotation workflows, observability tools, and diagnostic systems. Run experiments across prompts, models, and agent harnesses to improve quality, latency, and cost. Lead the AI Quality engineering team while remaining hands-on, partnering closely with AI Core engineering to validate production improvements.

Leads the Information Risk team and assurance programme, overseeing cyber, technology, AI, data privacy and third-party risks. Advises senior stakeholders, manages ISO 27001 certification, NIST-based risk frameworks, penetration testing and cyber resilience exercises, and contributes to incident response. The role develops policies, governance reporting and controls for emerging technologies while coaching team members and providing independent challenge across the firm.

Provide expert technical advice on age assurance and digital identity technologies within online safety regulation. Lead research and evaluations, assess technical feasibility and risks, translate complex concepts for policy and leadership audiences, prepare briefings and demonstrations, monitor emerging trends, and engage with academia, industry, public bodies, and external technical groups.

Design and deliver enterprise-grade machine learning systems and AI-powered applications for banking. Build scalable, secure, distributed applications and automated cloud, desktop, and ML pipelines. Apply MLOps practices for versioning, reproducibility, and observability while collaborating with cloud and site reliability engineering teams. Develop reusable libraries and business-critical, data-intensive solutions, aligning machine learning problems with business objectives. The role may include mentoring or people leadership.

Lead AI controls enablement by translating AI risks into practical controls, partnering with Controls, Business, and Technology to design scalable solutions, perform risk reviews, implement controls, and advise senior stakeholders to ensure compliant AI adoption.

Conduct world-leading interdisciplinary research within the Decisions Cluster of the Leverhulme Centre for Algorithmic Life, examining how AI and algorithmic technologies transform decision-making. Develop research and funding plans, collaborate across disciplines, contribute to knowledge exchange and the research environment, support postgraduate research students, and undertake academic administration and citizenship activities.

Sell AI-powered digital marketing solutions to UK small and medium-sized businesses. Responsibilities include engaging cold leads, identifying opportunities, recommending tailored advertising solutions, closing and onboarding clients, managing campaigns, monitoring performance, delivering ROI insights and reports, and maintaining client satisfaction. The role requires strong sales, communication, organization, resilience, multitasking, digital awareness, and customer-management skills.

Own the vision, strategy, and market direction for Agentic AI infrastructure. Translate customer and market insights into product strategy, partner with Engineering on enterprise solutions, and collaborate with Sales and Marketing on positioning and go-to-market. Represent the product externally through customer meetings, conferences, webinars, and industry events while balancing security, scalability, developer experience, and enterprise needs.

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.

Support procurement excellence by improving systems, processes, governance, reporting, and data insights. Lead implementation of a Contract Lifecycle Management solution and identify opportunities to apply AI and automation to contract management, supplier risk, reporting, and operational workflows. Use procurement knowledge, analytical skills, and commercial judgment to deliver sustainable process improvements and measurable business outcomes.

Leads post-sale customer success for strategic global accounts, building relationships, aligning business outcomes, managing success plans, orchestrating Microsoft and partner delivery, improving solution health, accelerating cloud and AI adoption, and overseeing escalations and transformation programs. The role requires cloud expertise, IT service management, project management, change management, and experience supporting multinational customers.

Manage relationships with AI-native startups, scaleups, and labs across the UK. Understand customer goals, develop AI solution strategies, drive adoption and growth, coordinate technical and business resources, build customer references and case studies, identify emerging use cases, and represent NVIDIA at industry events. The role requires deep AI ecosystem knowledge, strategic planning, cross-functional communication, and understanding of NVIDIA’s software, server, and cloud stack.

Conduct original research in artificial intelligence, particularly perception, action, generative models, reinforcement learning, and autonomous systems. Develop a strong research agenda, teach undergraduate and master's courses, and supervise undergraduate, master's, and PhD projects. The role also requires contributing to a collaborative, research-intensive academic environment.