Top Tech Jobs & Startup Jobs in Edinburgh

Support private credit portfolio analytics and reporting: monitor performance at investment, portfolio, and fund levels; produce client reports and ad hoc investor data; ensure accuracy of performance metrics and databases; assist operational due diligence and coordinate with Investor Relations, Valuation, Fund Accounting, Compliance, and Operations.

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.

Partner with business and technical teams to capture and document ServiceNow requirements, transform needs into user stories and acceptance criteria, ensure alignment with ITSM, CSDM and CMDB standards, support UAT and validation, recommend process and reporting improvements, and coordinate BAU and strategic platform initiatives.

Oversee regulatory reporting and disclosure processes within BlackRock’s Regulatory Operations team. Coordinate controls, improve and automate oversight, interpret regulatory requirements, assess regulatory changes, lead implementation projects, support technology and business partners, participate in testing, and deliver performance metrics. The role specializes in areas such as SFDR, TCFD, MiFID, PRIIPs, Solvency II, or financial crime regulations and requires strong analytical, communication, planning, and problem-solving skills.

Prepares financial, statutory, prudential, regulatory, and management reports for assigned legal entities. Performs variance analysis, maintains controls and governance documentation, supports capital adequacy processes and regulatory submissions, coordinates with auditors and stakeholders, tracks deadlines, and contributes to process improvements, automation, and strategic reporting initiatives.

Oversee daily securities lending operations, including transaction processing, collateral and inventory monitoring, reconciliations, exception resolution, reporting, and operational risk controls. Partner with trading, portfolio management, technology, custodians, brokers, and service providers. Support automation, process improvements, new business initiatives, documentation, governance, and remediation efforts while providing guidance to analysts.

Paid six-month programme for UK service leavers and elite athletes to build professional skills and learn about asset management and financial services. Participants may work across Legal and Compliance, Aladdin Engineering, Client Services and Solutions, Aladdin Client Business, or Internal Audit. Applicants must meet military or professional athlete eligibility criteria and be legally authorized to work in Edinburgh. The programme starts in February 2027 and uses a predominantly office-based hybrid model.

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.

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.

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.