VP AI Research Engineer β€” Applied AIML Leader in Glasgow

VP AI Research Engineer β€” Applied AIML Leader in Glasgow

Glasgow Full-Time 70000 - 90000 Β£ / year (est.) On-site
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At a Glance

  • Tasks: Lead applied AI research and prototype production-grade capabilities.
  • Company: Join J.P. Morgan, a leader in financial services and technology.
  • Benefits: Competitive salary, mentorship opportunities, and a chance to shape AI innovation.
  • Other info: Dynamic role with opportunities for professional growth and innovation.
  • Why this job: Make a real impact in AI while collaborating with top engineers.
  • Qualifications: Experience in AI research and strong leadership skills.

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

Morgan seeks a hands-on AI Research Engineer at VP level to lead applied research and prototype production-grade capabilities.

You will evaluate open-source LLMs, fine-tune for domain tasks, and optimize production inference while collaborating with IPB Tech AIML engineers.

You will publish results, mentor teams, and help shape scalable AI capabilities for dedicated platform needs across the organization.

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VP AI Research Engineer β€” Applied AIML Leader in Glasgow employer: J.P. MORGAN

As a leading global financial institution, we pride ourselves on fostering a dynamic and inclusive work environment that empowers our employees to excel. The Head of Markets Tax Operations role offers unparalleled opportunities for professional growth, collaboration across diverse teams, and the chance to drive innovation in tax operations while working in vibrant locations like Spain, Italy, and Hungary. Join us to be part of a culture that values excellence, embraces technology, and prioritises employee development, ensuring you can make a meaningful impact in your career.

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Contact Details:

J.P. MORGAN Recruitment Team

We think you need these skills to ace VP AI Research Engineer β€” Applied AIML Leader in Glasgow

AI Research
Applied Machine Learning
Prototype Development
Open-source LLM Evaluation
Fine-tuning Models
Production Inference Optimisation
Collaboration Skills