NLP & Agentic AI Internship at MLCOE (Summer)

Aumni; Greater London; Hybrid; GBP 30,000 - 44,000; Full time

Benefits offered by this job

Competitive compensation

Health coverage

Hybrid work model

Mentorship program

Job summary

JPMorgan Chase is offering a Summer Associate internship in the MLCOE to apply advanced LLM and agentic AI methods to real business challenges. You will own a research project under mentors, with hands-on experience in NLP, speech, and reinforcement learning, guided by senior AI researchers and engineers.

You will work within a hybrid model starting in June, with mentoring, project work integrated into product pipelines or published research.

Qualifications

• PhD or MS in CS/EE/Math/OR/Data Science with expected graduation Dec 2027–Aug 2028.
• Strong background in LLM/agentic AI or NLP/ASR or personalization with current methods.
• Solid foundation in statistics, probability, and ML; can design experiments and metrics.
• Hands-on experience with prompting, embeddings, RAG, tool calling, multi-step workflows.
• Strong Python skills with DL frameworks and HF ecosystem; data libraries.
• Clear written and spoken communication for technical and business audiences.

Responsibilities

• Perform exploratory data analysis and model development on structured and unstructured data.
• Design prototypes of agentic AI systems with multi-step workflows.
• Experiment with LLM techniques like RAG, tool calls, fine-tuning.
• Develop evaluation frameworks for quality, reliability, safety of outputs.
• Collaborate with mentors, stakeholders, engineers to move solutions to production.
• Document methodology and present findings to technical and business audiences.

Skills

LLM / Agentic AI

NLP / Speech

Statistics / ML experiments

Python for ML

Communication skills

Education

MS/PhD in CS/EE/Math/OR/DS

Tools

PyTorch

TensorFlow

HuggingFace

NumPy

Pandas

scikit-learn

Job description

JPMorgan Chase is offering a Summer Associate internship in the MLCOE to apply advanced LLM and agentic AI methods to real business challenges. You will own a research project under mentors, with hands-on experience in NLP, speech, and reinforcement learning, guided by senior AI researchers and engineers.

You will work within a hybrid model starting in June, with mentoring, project work integrated into product pipelines or published research.