Applied AI ML Engineer Director - NLP/LLM & Graphs

Salary: £62,000 - 102,000 per year

Requirements:

• We require a PhD in a quantitative discipline such as Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science, or an MS with significant industry or research experience in the field.
• We require a solid background in NLP, LLM, and graph analytics, with hands-on experience and a strong understanding of machine learning and deep learning methods.
• We require hands-on experience building agentic AI and multi-agent systems within regulated or compliance-driven environments.
• We require recent hands-on experience training and deploying models and pipelines.
• We require the ability to design experiments and training frameworks, and to define and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals, with a focus on agentic systems and LLM evaluation.
• We require experience with big data and scalable model training, along with strong written and spoken communication skills to explain technical concepts and results to technical and business audiences.
• We require scientific thinking, the ability to invent, and the ability to work both independently and in highly collaborative team environments.
• We require candidates to be curious, hardworking, detail-oriented, and motivated by complex analytical problems.
• Preferred: strong background in Mathematics and Statistics, and familiarity with the financial services industry and continuous integration models and unit test development.
• Preferred: knowledge of graph integration with LLMs, Reinforcement Learning, or Meta Learning.
• Preferred: experience with A/B experimentation and data- and metric-driven product development, cloud-native deployment in a large-scale distributed environment, and the ability to develop and debug production-quality code.
• Preferred: published research in Machine Learning, Deep Learning, or Reinforcement Learning at a major conference or journal.

Responsibilities:

• We develop state-of-the-art machine learning models to solve real-world problems across tasks such as natural language processing, speech recognition and analytics, time-series prediction, and recommendation systems.
• We collaborate with partner teams across Business, Technology, Product Management, Legal, Compliance, Strategy, and Business Management to deploy solutions into production.
• We lead, mentor, and inspire a team of AI engineers while fostering a culture of excellence, innovation, and continuous learning.
• We drive firmwide initiatives by developing large-scale frameworks that accelerate the application of machine learning models across different areas of the business.
• We research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation, and participation in our knowledge sharing community.

Technologies:

• Agentic AI
• AI
• Big Data
• Cloud
• Support
• LLM
• Machine Learning
• Model Training
• Security
• Marketing

More:

We are the Chief Data & Analytics Office at J.P. Morgan Chase, and our Machine Learning Center of Excellence partners across the firm to accelerate our data and analytics journey. We focus on improving the quality, integrity, and security of our data while harnessing artificial intelligence and machine learning to support commercial goals, develop new products, improve productivity, and enhance risk management responsibly. In this role, you will join a highly collaborative, multidisciplinary team working with cutting-edge techniques in deep learning and reinforcement learning, with opportunities to contribute to knowledge sharing across the firm. We are a global leader in financial services with a strong commitment to diversity, inclusion, and equal opportunity, and we offer a first-class business in a first-class way approach to serving clients.

last updated 34 week of 2026