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Machine Learning Engineering & Applied AI ML Lead - Vice President

JPMorgan Chase & Co.
London, GBR
Full-time
Senior
Onsite
Discovered 2 weeks ago
AWSKubernetesPyTorchNumPyPydantic AILangraph
Free

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Job Responsibilities

  • Design and deliver enterprise-grade machine learning systems
  • Collaborate with cloud and SRE teams to build robust production architectures
  • Translate scientific research into scalable ML solutions
  • Develop and deploy business-critical, data-intensive applications
  • Implement distributed, multi-threaded, and scalable applications
  • Build, test, and deploy automated pipelines for ML solutions
  • Leverage foundational libraries and services for re-use across teams
  • Apply best practices in software engineering and computer science
  • Utilize MLOps tools for versioning, reproducibility, and observability
  • Align ML problem definitions with business objectives
  • Mentor and support team members, with optional management responsibilities

Required Qualifications, Capabilities, and Skills

  • Experience in machine learning engineering roles
  • Degree in a quantitative discipline (Computer Science, Mathematics, Statistics)
  • Proven ability to develop and deploy business-critical, data-intensive applications
  • Extensive experience with AWS and Kubernetes
  • Proficiency with lower-level libraries such as PyTorch and NumPy
  • Hands-on experience implementing distributed, multi-threaded, and scalable applications
  • Experience with automated building, testing, and deployment pipelines
  • Familiarity with higher-level interfaces like Pydantic AI and Langraph
  • Strong understanding of computer science fundamentals and development best practices
  • Broad knowledge of MLOps tooling for versioning, reproducibility, and observability
  • Ability to understand business objectives and align ML problem definitions

Preferred Qualifications, Capabilities, and Skills

  • Experience mentoring or leading teams
  • Knowledge of agentic AI concepts
  • Experience designing reusable libraries and services
  • Interest in bridging scientific theory and enterprise-grade systems
  • Passion for innovation and continuous learning
  • Why Join Us? You will be part of a pioneering team that is transforming banking with AI. We offer opportunities for career growth, mentorship, and the chance to work on impactful projects that shape the industry. Your expertise will help us build the next generation of AI solutions, making a difference for our clients and communities worldwide.

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