Applied AI/ML Lead - Finance: Scale & Deliver ML

Aumni

Greater London

Sur place

GBP 150 000 - 190 000

Plein temps

14 jours+

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Résumé du poste

JPMorgan Chase & Co. is seeking an Applied AI/ML Lead – Vice President to drive cutting-edge AI techniques across financial services.

You will lead ML engineering efforts, design scalable machine learning services, and advance research in NLP and computer vision while leveraging the company’s data assets to automate and optimize business decisions. The role blends scientific research with software engineering, offering opportunities to impact production systems and guide architectural decisions

Qualifications

  • Hands-on experience in an ML engineering role.
  • Masters degree or PhD in a quantitative discipline (CS, Mathematics, Statistics).
  • Track record of developing and deploying business-critical ML models.
  • Broad knowledge of MLOps tooling for versioning, reproducibility, and observability.
  • Specialism in NLP or Computer Vision.
  • Experience with PyTorch, NumPy, and Pandas.
  • Experience implementing distributed/multi-threaded/scalable apps (Ray, Horovod, DeepSpeed).
  • Ability to communicate complex AI concepts to technical and non-technical audiences.

Responsabilités

  • Build robust Data Science capabilities scalable across business use cases.
  • Collaborate with software engineers to deploy ML services integrated with strategic systems.
  • Research and analyze datasets using statistical and ML techniques.
  • Communicate AI capabilities and results to diverse audiences.
  • Document approaches and processes to comply with regulations.
  • Collaborate with cloud and SRE teams on production architectures.

Connaissances

Hands-on ML engineering
NLP or CV
PyTorch
NumPy
Pandas
Distributed systems
Cloud familiarity

Formation

Masters or PhD in a quantitative discipline

Outils

Ray
Horovod
DeepSpeed

Description du poste

JPMorgan Chase & Co. is seeking an Applied AI/ML Lead – Vice President to drive cutting-edge AI techniques across financial services.

You will lead ML engineering efforts, design scalable machine learning services, and advance research in NLP and computer vision while leveraging the company’s data assets to automate and optimize business decisions. The role blends scientific research with software engineering, offering opportunities to impact production systems and guide architectural decisions

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