London Stock Exchange · Posted 2d ago
Lead Engineer (AI Platforms)
Job relayed by Stapply Data, its source: you apply there.
- Location
- 🇬🇧 London, United Kingdom
- Contract
- Full-time
- Role
- ML engineering
- Source
- Stapply Data
Stack
- MongoDB
- Java
- Kotlin
- TypeScript
- JavaScript
- CI/CD
The posting
Join LSEG as a Lead Engineer (AI Platforms) and take ownership of building core engineering capabilities for secure, scalable, and AI-enabled digital products. This role combines hands-on engineering with technical leadership, guiding teams through architecture design, solution implementation, and continuous improvement of development workflows. You will lead the development of backend and frontend systems, define architectural direction and coding standards, mentor engineers, and improve deployment and operational processes. Strong full stack expertise and experience with AI feature development are required.
- Assumer la responsabilité de la construction des capacités d'ingénierie essentielles pour permettre à LSEG de livrer des produits numériques sécurisés, évolutifs et alimentés par l'IA. - Diriger le développement de systèmes backend et frontend sécurisés et évolutifs, en définissant la direction architecturale, les normes de codage et les meilleures pratiques de développement. - Mentorer les ingénieurs, effectuer des revues de code et guider la prise de décision technique, tout en améliorant les processus de déploiement, de surveillance et d'exploitation.
- The role combines hands-on engineering with technical leadership, guiding teams through architecture design, solution implementation, and continuous improvement of development workflows - Success requires strong full stack expertise, excellent technical judgement, and the ability to embed AI capabilities into production systems - Experience with ReactJS, JavaScript, and TypeScript - 5+ years of software engineering experience, including technical leadership - Strong understanding of secure coding (e.g., OWASP principles) - Experience leading AI feature development or integrating ML models into production systems - Strong experience with CI/CD, Git workflows, automated testing - Expertise in Java/Kotlin, Spring Boot, REST APIs, and MongoDB