Senior Applied AI Scientist — LLM Systems & Production

Next Frontier Capital; Greater London; On-site; GBP 110,000 - 180,000; Full time

Job summary

JPMorganChase is seeking an Applied AI Research Scientist - Sr. Associate to drive end-to-end research on the LLM stack, from model training to production deployment. You will develop foundation-models and agentic systems, evaluate faithfulness and reliability, and document findings for publication and IP protection.

You will collaborate with researchers to publish at conferences, contribute to business workflows, and help advance trustworthy AI in a fast-paced, cross-functional environment.

Qualifications

• Ph.D. in computer science, ML, or related field, or Master’s with strong applied research and engineering experience.
• Ability to build and ship AI/ML systems, ideally involving LLMs.
• Proficiency in Python and ML frameworks such as PyTorch or JAX.
• Hands-on experience across the LLM lifecycle, including fine-tuning, prompting, serving, and evaluation.
• Experience in scientific technical writing and presenting findings to non-technical audiences.
• Experience in model training and adaptation (e.g., supervised fine-tuning, RLHF, preference optimization, distillation, parameter-efficient methods).
• Experience in inference and serving (e.g., test-time compute, speculative decoding, quantization, KV-cache management).
• Experience in agentic systems (e.g., planning, tool and function calling, retrieval-augmented generation, orchestration).
• Experience in evaluation and faithfulness (e.g., benchmarks, LLM-as-judge, hallucination and groundedness detection).
• Experience in explainability and reliability (e.g., attribution, uncertainty, drift monitoring).

Responsibilities

• Advance applied research across the LLM stack, including model training, adaptation, inference, and agentic systems.
• Design, build, and release foundation-models and agentic systems for high-value business workflows from prototype to production.
• Develop methods to evaluate, verify, and monitor models and agents (faithfulness, hallucination detection, workflow verification).
• Enhance research capabilities in model explainability, reliability, and interpretability.
• Provide innovative research solutions to internal project teams.
• Collaborate with researchers to document findings in scientific papers and present at conferences.
• Contribute to intellectual property by pursuing protections for generated IP.
• Work with cross-functional teams to integrate AI solutions into business processes.
• Present research outcomes to stakeholders and at industry conferences.
• Stay current with advancements in AI and machine learning.
• Foster a culture of innovation and continuous improvement within the team.

Skills

Python

PyTorch/JAX

LLM lifecycle

Model training

Evaluation & monitoring

Scientific writing

Communication

RLHF / fine-tuning

Agentic systems

Implementation

Education

PhD in computer science / ML or related field

Master’s with applied research/engineering experience

Job description

JPMorganChase is seeking an Applied AI Research Scientist - Sr. Associate to drive end-to-end research on the LLM stack, from model training to production deployment. You will develop foundation-models and agentic systems, evaluate faithfulness and reliability, and document findings for publication and IP protection.

You will collaborate with researchers to publish at conferences, contribute to business workflows, and help advance trustworthy AI in a fast-paced, cross-functional environment.