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BlackRock

Runs investment funds and sells risk software

AI Infrastructure Engineer - Software Engineering

Platform EngineeringConfirmed live in the last 24 hours
Full-timeEdinburgh, UKNo salary listed

About the Job

Requirements

  • Demonstrated experience in cloud infrastructure, platform engineering, systems engineering, or a closely related discipline, including designing and operating services across major public cloud and hybrid environments.
  • Experience supporting AI and machine learning platforms across the development and production lifecycle, including training, fine-tuning, experimentation, validation, model deployment and serving, lifecycle management, observability, resilience, disaster recovery, and end-to-end Machine Learning Operations pipelines.
  • Proficiency with Infrastructure as Code, cloud infrastructure provisioning, and automation, supported by programming or scripting capability.
  • Experience building and operating enterprise-grade containerized platforms that support declarative infrastructure and horizontal scaling, with a strong understanding of reliability, scalability, observability, and production engineering practices.
  • Familiarity with graphics processing unit or other accelerator-based AI infrastructure, multicloud architectures, and enterprise governance requirements.
  • Ability to collaborate effectively across engineering, security, risk, data, and product teams and communicate complex technical concepts clearly.

Responsibilities

  • Design, build, and operate scalable, reliable, and secure cloud-native infrastructure supporting AI model development, training, evaluation, deployment, and inference across public cloud and hybrid environments.
  • Partner with AI Engineering, Data Science, Platform Engineering, and Product teams to improve developer experience, platform performance, and operational stability while contributing to AI platform architecture and technical standards.
  • Enable production deployment of machine learning models and large language models within governed enterprise environments, integrating identity, access controls, data protection, security, and risk requirements.
  • Implement Infrastructure as Code and automation to enable repeatable, consistent, and auditable platform provisioning and configuration.
  • Build and operate observability, monitoring, and alerting capabilities that provide visibility into AI platform availability, performance, reliability, capacity, and cost.
  • Participate in operational support and on-call rotations for critical platforms, contributing to incident response and resilient production services.
  • Evaluate emerging AI infrastructure technologies and engineering approaches, applying capabilities appropriate to BlackRock’s enterprise environment.

Desired Qualifications

  • Experience in financial services or another highly regulated environment is beneficial.

About the Company

BlackRock

Runs investment funds and sells risk software

BlackRock manages money for pension funds, governments, insurers, and everyday savers, and sells the software it uses to run those investments to other firms. In 2009, its purchase of Barclays Global Investors brought in the iShares fund family and made BlackRock the world's largest asset manager. Its iShares exchange-traded funds trade like stocks and mostly track market indexes, while its private funds lend to companies and invest in infrastructure and real estate. BlackRock charges a yearly fee on the money it manages, and banks, insurers, and other investors pay to use Aladdin, its system for measuring risk and running portfolios. Larry Fink and seven partners founded BlackRock in 1988, and it is based in New York City.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1988

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