Treasury AI & ML Engineering Leader

eFinancialCareers

Greater London

Híbrido

GBP 120.000 - 180.000

Jornada completa

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Descripción de la vacante

eFinancialCareers is seeking a Treasury AI Engineering Lead to drive adoption and scaling of Generative AI and ML within Treasury, transforming it into a real-time, data-driven partner. You will guide architectural decisions, mentor engineers, and ensure high-quality, tested solutions across platforms.

The role emphasizes leadership in both banking and technology, with stakeholder management and ongoing learning, fostering innovation and knowledge sharing across teams and external communities.

Formación

  • Proven experience in AI or ML engineering, MLOps, or cloud-based analytics.
  • Excellent communication and stakeholder management skills.
  • Architectural design principles across bank-wide production.
  • Leadership experience in banking and technology sectors.

Responsabilidades

  • Design AI/ML solutions for Treasury use cases and business needs.
  • Oversee migration to secure, scalable cloud environments for experimentation.
  • Lead a team of engineers addressing key priorities and share insights with the broader technical community.
  • Promote robust data strategy and governance, ensuring quality and security.

Conocimientos

Leadership
Stakeholder management
AI/ML engineering
MLOps
Cloud analytics
Communication
Collaboration
Continuous learning
Architecture design

Herramientas

Cloud platforms
Data governance tools
AI frameworks

Descripción del empleo

eFinancialCareers is seeking a Treasury AI Engineering Lead to drive adoption and scaling of Generative AI and ML within Treasury, transforming it into a real-time, data-driven partner. You will guide architectural decisions, mentor engineers, and ensure high-quality, tested solutions across platforms.

The role emphasizes leadership in both banking and technology, with stakeholder management and ongoing learning, fostering innovation and knowledge sharing across teams and external communities.

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