Applied AI/ML Lead β€” VP, Finance AI & Automation in London

Applied AI/ML Lead β€” VP, Finance AI & Automation in London

London Full-Time 70000 - 90000 Β£ / year (est.) No working from home possible
Next Frontier Capital

At a Glance

  • Tasks: Lead ML engineering to automate decisions and scale data-driven intelligence.
  • Company: Join JPMorgan Chase & Co., a leader in finance and technology.
  • Benefits: Competitive salary, health benefits, and opportunities for professional growth.
  • Other info: Be part of a dynamic team driving innovation in finance.
  • Why this job: Make an impact by advancing AI in financial applications.
  • Qualifications: Experience in ML, NLP, CV, and strong collaboration skills.

The predicted salary is between 70000 - 90000 Β£ per year.

JPMorgan Chase & Co. is seeking an Applied AI / ML Lead – Vice President to drive ML engineering across strategic teams.

You’ll combine NLP, CV, and statistical ML to automate decisions and scale data-driven intelligence.

You’ll lead design of scalable ML services, collaborate with software engineers and SRE, and contribute to production-grade architectures while advancing state-of-the-art research in financial applications. #J-18808-Ljbffr

Applied AI/ML Lead β€” VP, Finance AI & Automation in London employer: Next Frontier Capital

Next Frontier Capital is an exceptional employer, offering a vibrant work culture that fosters collaboration and innovation within the EMEA Energy sector. Employees benefit from comprehensive professional development opportunities, competitive compensation packages, and the chance to lead high-impact M&A and capital markets transactions in a dynamic environment. Join us to be part of a team that values strong leadership and proactive engagement, ensuring meaningful contributions to the energy landscape.

Next Frontier Capital

Contact Details:

Next Frontier Capital Recruitment Team

We think you need these skills to ace Applied AI/ML Lead β€” VP, Finance AI & Automation in London

Machine Learning Engineering
Natural Language Processing (NLP)
Computer Vision (CV)
Statistical Machine Learning
Scalable ML Services Design
Collaboration with Software Engineers
Site Reliability Engineering (SRE)