Top AI Jobs in Edinburgh

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.

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.

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.

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.

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.

Conduct interdisciplinary research in physical intelligence, soft sensing, robotics, machine learning, and signal processing. Develop sensing and perception methods enabling robots to understand their body state and physical interactions, integrate them into robotic and mechatronic platforms, and perform extensive experimental validation. Collaborate across sensing, robotics, electronics, and AI while developing new research ideas within an ERC-funded project.

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.

Build BLP’s core software across infrastructure, backend, machine learning, and product extension platforms. Responsibilities include operating secure and observable cloud infrastructure, developing performant distributed systems, applying AI to business problems, and enabling customer process automation. The role emphasizes formal reasoning, correctness by construction, maintainable systems, type systems, and functional programming. Work is available onsite in Zurich or remotely within Europe.

Conduct research, market sizing, forecasting, competitive analysis, and thought leadership on enterprise AI services. Develop actionable insights for technology providers and senior executives through published research, presentations, conferences, and client engagements. Assess market trends, demand drivers, customer behavior, and growth opportunities while advising clients, supporting sales, reviewing content, mentoring analysts, and improving research processes.

Own new-business sales across pharmaceutical, biotech, CRO, VC/PE, and life sciences accounts, with emphasis on North America. Build target-account relationships, generate pipeline, lead consultative discovery, develop proposals and pilots, negotiate contracts, and close complex multi-stakeholder opportunities. Collaborate with technical sales, product, delivery, legal, finance, marketing, and partnerships teams while maintaining accurate CRM forecasts and feeding market insight back into commercial strategy.

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.

Lead enterprise-scale Dynamics 365 CE and Power Platform solution architecture from strategy through delivery. Design integrations, data models, security, environments, DevOps and ALM approaches while ensuring scalability, resilience and performance. Facilitate technical discovery and architecture reviews, advise senior client stakeholders, establish governance and reusable patterns, guide technology strategy, and mentor architects and senior consultants across complex Microsoft consulting programmes.

Advise high-profile UK and international technology clients on commercial contracts, cloud agreements, digital transformation and AI projects, software licensing, outsourcing, web and mobile app contracts, IP licensing, data protection, corporate support, and competition matters. The role involves delivering pragmatic, commercially focused advice on complex, high-value technology transactions while collaborating with specialists across the practice.

Develops evidence-based technology policy for online safety regulation, including policy consultations, codes of practice, discussion papers, and regulatory compliance measures. The role analyzes emerging technologies, communicates policy recommendations, leads cross-functional workstreams, manages tasks, and builds relationships with stakeholders across academia, industry, government, civil society, and regulation.

Leads technical strategy and pre-sales engagement for hyperscale cloud, AI, and data center networking solutions. Partners with customers, hyperscalers, technology providers, sales teams, and product organizations to co-design architectures, shape go-to-market strategy, and influence product development. Requires deep expertise in routing, switching, SDN, network automation, virtualization, and hyperscale infrastructure, plus strong executive communication, RFP response, and relationship-building skills. Travel of up to 50%, including international travel, is required.

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.

Develops Gartner research and thought leadership on the economic impact of AI and technology disruption. Synthesizes economic analysis, quantitative evidence, financial statements, market intelligence, and business context into executive-level insights. Advises clients, presents at conferences and media engagements, supports business development, reviews research, and collaborates with modeling, data science, and data engineering teams. The role also contributes to research strategy, mentors colleagues, and builds authority in technology market economics.