Top AI Jobs in Edinburgh

Own product areas for KIRA’s AI Stockbroking App and other financial services. Define user problems, scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial journeys; use research, feedback, metrics, and production issues to guide decisions; launch features, monitor performance, and drive continuous iteration while balancing speed, user experience, business impact, compliance, and operational complexity.

Own product areas for KIRA’s AI Investing App and related financial services. Define user problems, scope, metrics, roadmaps, and launches; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial journeys; and use research, feedback, metrics, and production issues to iterate quickly while balancing user experience, business impact, compliance, and operational complexity.

Own product areas across financial services within KIRA’s AI neobank app. Define customer problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify financial workflows, launch features, monitor performance, and iterate using data, research, feedback, and production insights.

Own AI Investing product areas by defining user problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify financial products, ship features quickly, monitor performance, and iterate using data, research, feedback, and production insights. Balance speed, customer experience, business impact, compliance, and operational complexity.

Delivers workshops, webinars, office hours, mentoring, technical support, and assessments for Digital Product Manager apprentices. The role provides learner feedback, supports portfolio development and apprenticeship endpoint assessment preparation, monitors progress, contributes to quality assurance and content development, and helps learners prepare for Gateway. Candidates need product management experience, user-centred design, Agile methods, business analysis, process modelling, change management, teaching or mentoring experience, and a relevant Level 4 qualification or certification.

Drive Azure Cloud and AI partner sales across Microsoft Education and Nonprofit customers. Develop partner sales plans, build pipeline, execute co-sell strategies, progress priority deals, manage renewals and upsell motions, coordinate internal and external stakeholders, and deliver consultative, outcome-focused Azure solution selling. The role requires Azure technical fluency, disciplined pipeline management, partner activation, and achievement of sales metrics.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and other financial services. Define user problems, product direction, scope, metrics, roadmaps, and launch plans. Partner with engineering, design, data, operations, compliance, and business teams to ship features, monitor performance, simplify financial journeys, and iterate using research, feedback, experiments, and production data.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and other financial services. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, compliance, operations, and business teams; simplify complex financial workflows; launch features; monitor performance; and drive continuous iteration using data, research, feedback, and production insights.

Own AI Investing product areas across financial services. Define user problems, product direction, scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams. Simplify complex financial workflows, launch features, monitor performance, use research and feedback to iterate, and balance speed, user experience, business impact, compliance, and operational complexity.

Own product areas for AI stockbroking and other financial services. Define user problems, product scope, success metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial journeys; use metrics, research, feedback, and production issues to improve decisions; launch features, monitor performance, and drive iteration.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and other financial services. Define user problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams. Simplify complex financial products, launch features, monitor performance, use research and feedback to guide iterations, and balance speed, user experience, business impact, compliance, and operational complexity.

Own product areas for an AI-focused neobank across financial services such as insurance, payments, savings, investing, and travel. Define user problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to ship and improve products. Use research, feedback, experiments, and performance data to make prioritization and trade-off decisions while simplifying complex financial workflows.

Own product areas within an AI neobank across financial services such as insurance, payments, savings, investing, and travel. Define customer problems, product scope, metrics, roadmaps, and launch plans; collaborate with engineering, design, data, operations, compliance, and business teams; simplify complex financial workflows; use research, feedback, and performance data to iterate; and balance speed, user experience, business impact, compliance, and operational complexity.

Own AI Investing product areas across financial services, defining user problems, product scope, success metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products. Use research, feedback, metrics, experiments, and production insights to make decisions, launch features, monitor performance, and drive continuous improvement while balancing speed, user experience, business impact, compliance, and operational complexity.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and related financial services. Define user problems, product scope, success metrics, roadmaps, and launch plans while collaborating with engineering, design, data, operations, compliance, and business teams. Simplify complex financial workflows, launch features, monitor performance, analyze feedback and metrics, and drive continuous improvements while balancing speed, usability, business impact, compliance, and operational complexity.

Administer and operate the NebulaOne AI platform and SIAP-delivered applications, including user access, configuration, licensing, monitoring, dashboards, maintenance, upgrades, incident resolution, and operational reporting. Maintain playbooks and recovery documentation, support automation workflows, deliver user training, and collaborate with developers, vendors, and university stakeholders to ensure reliable business-as-usual service delivery.

Lead an AI payments business end to end, owning P&L, strategy, product decisions, team building, execution, growth, partnerships, operations, revenue, and profitability. The role requires identifying customer and commercial opportunities, collaborating with product, engineering, and design teams, launching and improving products, and managing performance in a fast-paced, hands-on environment.

Lead an AI-native email app business end to end, owning P&L, strategy, product direction, team building, execution, growth, revenue, partnerships, operations, and profitability. Identify customer and commercial opportunities, decide what to build, collaborate with product, engineering, and design teams, launch and improve products, and drive measurable business outcomes in a hands-on operating role.

Own AI Finance product areas across insurance, payments, savings, investing, travel, and other financial services. Define product strategy, user problems, roadmaps, metrics, and launch plans; collaborate with engineering, design, data, compliance, operations, and business teams; simplify complex financial journeys; launch features; monitor performance; and drive continuous improvement through data, research, feedback, and experimentation.

Own product areas within AI Investing and other financial services, defining user problems, product direction, scope, metrics, roadmaps, and launch plans. Collaborate with engineering, design, data, operations, compliance, and business teams to simplify complex financial products. Use research, feedback, experiments, metrics, and production insights to launch quickly, measure performance, and continuously improve customer experiences while balancing business impact, compliance, and operational complexity.

Design and build scalable AI platform capabilities on Azure and Databricks, produce technical designs, develop reusable platform components, optimize performance/cost, and collaborate across engineering, architecture, and product teams to deliver model hosting, data integration, APIs and enterprise-grade platform services.

Build and deploy AI-powered applications, agents, copilots, and intelligent workflows for enterprise clients. Translate ambiguous business problems into scalable architectures and production software using LLMs, Generative AI, APIs, enterprise systems, and data sources. Rapidly prototype solutions, validate them with users, and implement monitoring, evaluation, and feedback mechanisms. Collaborate with technical and business stakeholders to move successful AI solutions into production while clearly communicating recommendations.

Lead design and build of scalable AI platform capabilities on Azure and Databricks, including data lakes, integration, model hosting, APIs, and IaC. Produce technical designs, reusable platform components, optimize performance/cost, and collaborate across engineering, architecture, and product to drive operational excellence.

Leads the strategic development, governance, and evolution of TM Forum’s Open Digital Architecture, with a focus on AI and data. Collaborates with telecom and technology stakeholders to create architecture artifacts, align standards, guide implementations, manage roadmaps, and drive adoption. Represents TM Forum through industry thought leadership and explains complex technical concepts to diverse audiences. Requires extensive enterprise or solution architecture experience, cloud-native expertise, API design knowledge, and strong stakeholder communication skills.

Own the end-to-end product direction and quality of AI-powered email capabilities. Define requirements, evaluation frameworks, quality standards, and measurable outcomes while balancing model quality, latency, cost, reliability, safety, and user experience. Partner closely with ML, backend, and client engineers on system design, experimentation, failure handling, and iteration. Drive prioritization, technical decisions, execution, and user trust in a fast-moving zero-to-one environment.