At a Glance
- Tasks: Drive applied AI research and build practical AI systems for business use.
- Company: Join JPMorganChase’s innovative GTAR centre focused on AI advancements.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Dynamic role with opportunities to present at conferences and contribute to IP development.
- Why this job: Shape the future of AI while collaborating with top researchers in a fast-paced environment.
- Qualifications: Ph.D. or Master’s in computer science/ML with hands-on AI/ML experience.
The predicted salary is between 63000 - 77000 £ per year.
Overview
In this role you will drive applied AI research across the LLM stack within JPMorgan Chase’s GTAR center, building and evaluating practical AI systems for business use.
You collaborate with researchers to publish findings and contribute to IP development, while advancing trustworthy and explainable AI.
You will work cross-functionally to integrate AI solutions into business processes and help shape the future of AI at the firm.
This is a fast-paced, collaborative environment that values innovation and impact.
Responsibilities
- Advance applied research across the LLM stack (training, adaptation, inference, agentic systems)
- Design, build, and release foundation-model and agentic systems for production-ready business workflows
- Develop evaluation, verification, and monitoring methods for models and agents (faithfulness, hallucination detection, workflow verification)
- Enhance model explainability, reliability, and interpretability
- Provide innovative research solutions to internal project teams
- Document findings and present at conferences; contribute to IP protection
- Collaborate with cross-functional teams to integrate AI into business processes
- Present research outcomes to stakeholders and at industry conferences
- Stay current with AI/ML advancements and foster continuous improvement
- Contribute to the protection of intellectual property
- Key requirements
- Ph. D. in computer science, ML, or related fields or Master’s with equivalent applied research and engineering experience
- Ability to build and ship AI/ML systems, ideally involving LLMs
- Proficiency in Python and ML frameworks (Py Torch or JAX)
- Hands-on experience across the LLM lifecycle (fine-tuning, prompting, serving, evaluation)
- Experience in scientific technical writing
- Strong communication and ability to present to non-technical audiences
- Experience in model training/adaptation (supervised fine-tuning, RLHF, distillation, parameter-efficient methods)
- Experience in inference and serving (test-time compute, speculative decoding, quantization, KV-cache)
- Experience in agentic systems (planning, tool calling, retrieval-augmented generation, orchestration)
- Experience in evaluation and faithfulness (benchmarks, LLM-as-judge, hallucination detection, workflow verification)
- Experience in explainability and reliability (attribution, uncertainty, drift monitoring)
- strong communication
- cross-functional collaboration
- ability to present complex results to non-technical audiences
- Python
- Py Torch
- JAX
Lead Applied AI Research Scientist in London employer: JP Morgan Chase
Morgan is an exceptional employer, offering a dynamic work culture that prioritises diversity and inclusion while fostering employee growth through comprehensive coaching and development opportunities. As a global leader in financial services, we empower our teams to drive impactful product management and AI enablement, ensuring that every employee can contribute meaningfully to our clients' success in a collaborative environment located at the heart of the financial sector.
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We think you need these skills to ace Lead Applied AI Research Scientist in London
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