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.

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 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.

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.

Leads client-facing Oracle technology opportunity shaping from initial commercial discussions through solution direction. Engages CIOs, CTOs, IT directors, and enterprise architects to understand business needs and develop outcome-led propositions across OCI, databases, integration, automation, low-code, security, analytics, and AI. Builds executive confidence, balances value and feasibility, supports bids and workshops, develops thought leadership, and collaborates with sales, marketing, architecture, consulting, and managed services teams.

Own and grow strategic enterprise customer accounts for Stack Internal, driving retention, renewals, adoption, and expansion. Develop account plans, build executive and technical relationships, identify and close expansion opportunities, negotiate contracts, forecast revenue, and partner with Professional Services, Solutions Engineering, Product, Customer Success, and Legal. Help customers apply enterprise knowledge and trusted organizational context to productivity and AI use cases.

Leads the transformation of Sophos’s pricing operations by building a centralized team, governance model, pricing cadence, and AI-assisted competitive intelligence capabilities. The role oversees discount governance, market monitoring, cross-functional alignment with sales and finance, Network Security partnership, executive reporting, and metrics tracking. It requires organizational change leadership, people management, and experience designing pricing strategies for subscription-based technology businesses.

Own procurement management information and insight delivery using Power BI, the Nationwide Data Lake, and modern analytics tools. Build and optimise dashboards, data models, reports, and advanced analytics that support decision-making, risk management, and process improvement. Lead strategic reporting workstreams, ensure data governance and quality, translate stakeholder requirements into actionable insights, and monitor emerging technologies including AI. The role also involves procurement lifecycle reporting, senior stakeholder engagement, knowledge management, and key initiative leadership.

Leads procurement transformation consulting engagements for UK, European, international, and global clients. Responsibilities include designing and implementing procurement operating models, digital Source-to-Pay processes, technology landscapes, data management, third-party risk programs, performance management, sustainability initiatives, automation, AI adoption, category strategies, spend analysis, benchmarking, business cases, cost reduction, and benefits tracking. Works with C-suite executives and procurement leadership teams to deliver business-led transformation.

MBA summer associates join Roland Berger consulting teams for 8–12 weeks, working on real client projects across global offices. Interns apply strategic thinking, analytical and creative problem-solving, teamwork, entrepreneurial skills, and AI and data capabilities to complex business challenges. Outstanding performers may receive full-time offers.

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.

The Director of FP&A will own budgeting, rolling forecasts, integrated financial modeling, cash flow and headcount planning, SaaS KPI reporting, variance analysis, board reporting, and PE sponsor reporting. The role will improve planning infrastructure across NetSuite, Salesforce, Pigment, and Bob, apply AI to finance workflows, and lead and develop the FP&A team across a multi-entity, multi-currency SaaS business.