Top AI Jobs in Edinburgh

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.

Lead global Account Executive enablement by designing and delivering training, coaching, certifications, and sales methodology programs. Improve opportunity progression, conversion rates, deal quality, forecast accuracy, and sales cycle efficiency. Partner with Sales Leadership, Product Marketing, GTM Strategy, Revenue Operations, and regional teams to align programs with business priorities. Drive adoption of AI-assisted selling workflows for research, discovery preparation, stakeholder mapping, deal strategy, and follow-up creation.

Drive pipeline and bookings growth through strategic Global Systems Integrator partnerships across Europe. Develop joint business plans, coordinate enterprise sales pursuits, generate demand, strengthen executive relationships, expand partner-led services and platform adoption, and monitor performance through business reporting. Collaborate with Sales, Marketing, Product, Services, Finance, and alliance teams to execute go-to-market initiatives and deliver measurable revenue outcomes.

The VP Field Marketing is responsible for leading marketing strategy and execution in Europe, focusing on demand generation, brand awareness, and pipeline development while collaborating cross-functionally and driving a data-driven culture.

Provide technical leadership for production AI and machine learning systems, including generative AI, intelligent agents, predictive modeling, and optimization. Design scalable AI platforms, APIs, services, data pipelines, and infrastructure; establish evaluation, testing, observability, security, and governance standards; optimize system performance, reliability, and cost; and partner with multidisciplinary teams to deploy and operate solutions. Mentor engineers and influence technical strategy across the organization.

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.

Identifies high-value AI opportunities, facilitates discovery workshops, translates business challenges into requirements, and manages an AI initiative pipeline. The role requires collaboration with data scientists, technical teams, senior leaders, and subject matter experts. It also contributes to AI adoption strategy, stakeholder engagement, business analysis best practices, and experimental projects addressing financial crime and consumer protection.

Develop, calibrate, validate, and extend soil carbon biogeochemical models for rangeland and grassland regeneration projects. The role quantifies management-driven soil organic carbon changes, integrates field measurements with remote sensing, characterizes uncertainty, and maintains reproducible, version-controlled, audit-ready workflows. It also supports certification, investor and technical due diligence, and produces defensible technical documentation. Collaboration spans UK and US teams across time zones.

Design, build, and maintain secure, tested, performant backend integrations connecting GitLab agents with tools such as Slack, Claude Code, and Codex. Own complex features, develop GraphQL and REST APIs, improve automated testing, troubleshoot production issues through on-call rotations, enhance observability and resiliency, and collaborate across product, frontend, backend, and AI engineering teams.

Provides technical leadership for production AI and machine learning systems, including generative AI, intelligent agents, predictive models, and optimization. Establishes architecture, engineering standards, evaluation and observability practices, and reusable AI platforms. Partners across business, engineering, data, risk, and control teams to deploy and operate scalable systems while optimizing performance, reliability, security, and cost. Mentors engineers and influences technical strategy.

Leads flagship AI Labs initiatives from scoping and research through production deployment. Designs and evaluates AI agents and agentic workflows, guides production-grade architecture, establishes quality and safety measurement, and partners with business and engineering stakeholders. Manages and mentors 3–6 AI scientists while communicating technical outcomes to senior leaders and broader audiences.

Leads a complex, global transformation initiative from feasibility through implementation and embedding. Responsibilities include project strategy, governance, Board-level stakeholder engagement, budget and dependency management, future operating model design, technology or AI evaluation, issue resolution, and alignment with portfolio standards. The role manages and coaches a project team, oversees approximately $1 million annually, and operates across multiple functions in a matrix organization.

Join Welo Data’s Swedish AI Trainers Network as a flexible, remote contributor. Participants may annotate text, images, or audio; evaluate search results, advertisements, and chatbot responses; create prompts; and review cultural and linguistic accuracy for AI systems. This is a talent community rather than an active opening. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation.

Join Welo Data’s remote Kyrgyz contributor network for potential AI data projects. Depending on skills, contributors may annotate text, images, or audio; evaluate search results, advertisements, or chatbot responses; create prompts for large language models; and review cultural and linguistic accuracy. Projects vary from several days to weeks, with scope, timelines, and compensation provided before each assignment. This is a talent-community opportunity rather than an active job opening.

Join Welo Data’s Romanian contributor network for flexible, remote AI projects. Potential work includes annotating text, images, or audio; evaluating search results, advertisements, and chatbot responses; creating prompts; and reviewing cultural and linguistic accuracy. Applicants need native or near-native Romanian, English proficiency, digital tool comfort, attention to detail, and residence in Romania or Moldova. This is a talent network rather than an active opening, with project scope, timelines, and compensation provided when opportunities arise.

Join Welo Data’s Tamil contributor network for potential remote AI projects involving text, image, or audio annotation; search, advertising, or chatbot evaluation; prompt creation; and cultural and linguistic quality review. This is not an active opening. Projects vary in length and compensation, with details provided before each assignment.

Join Welo Data’s contributor network for potential flexible, remote AI projects involving text, image, and audio annotation, search and chatbot evaluation, prompt creation, and cultural or linguistic quality review. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation. Applicants must be English-fluent, detail-oriented, comfortable with digital tools, and based in Malaysia, India, the Philippines, or Indonesia.

Join Welo Data’s remote Igbo contributor network in Nigeria to support flexible AI projects. Potential assignments include annotating text, images, or audio; evaluating search results, advertisements, and chatbot responses; creating prompts; and ensuring linguistic and cultural accuracy. Projects vary from several days to weeks, with scope, timelines, and compensation provided before each assignment.

Join Welo Data’s remote Persian contributor network to support AI training projects through text, image, or audio annotation; search, ad, or chatbot evaluation; prompt creation; and cultural and linguistic quality review. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation.

Join Welo Data’s remote Bosnian AI contributor network to support flexible projects involving text, image, or audio annotation; search, advertising, or chatbot evaluation; and prompt creation for large language models. Contributors help improve linguistic, cultural, and industry-specific accuracy in AI systems. Projects vary from several days to weeks, with scope, timelines, and compensation provided before each assignment. Native or near-native Bosnian, English proficiency, digital-tool comfort, and strong attention to detail are required.

Join Welo Data’s remote Tajik contributor network for potential AI data projects. Depending on project needs, contributors may annotate text, images, or audio; evaluate search results, advertisements, and chatbot responses; create prompts for large language models; and review cultural and linguistic accuracy. Projects vary from several days to weeks, with compensation and details provided before each assignment.

Join Welo Data’s Marathi contributor network for future remote AI projects involving text, image, or audio annotation; search, advertisement, and chatbot evaluation; prompt creation; and cultural and linguistic quality review. Applicants must be native or near-native Marathi speakers based in India, proficient in English, comfortable with digital tools, detail-oriented, and curious. This is a talent-community opportunity rather than an active opening, with project scope, timelines, and compensation provided before each assignment.

Join Welo Data’s Catalan AI contributor network for potential remote projects involving text, image, or audio annotation; search, ad, and chatbot evaluation; prompt creation; and cultural and linguistic quality review. Projects vary from several days to weeks, with scope, timelines, and compensation provided before each assignment. Applicants need native or near-native Catalan, English proficiency, digital-tool comfort, attention to detail, and residence in Spain, Andorra, or Italy.

Join a remote Galician AI contributor network supporting flexible projects in data annotation, search and chatbot evaluation, prompt creation, and cultural and linguistic quality review. Projects may involve text, image, or audio labeling and improving large language models. This is a talent community rather than an active opening; project scope, timelines, and compensation are provided when relevant opportunities arise.