Applied AI ML Director – NLP / LLM and Graphs

NLP PEOPLE; London; On-site; GBP 100,000 - 140,000; Full time

Job summary

A leading financial services firm in London seeks an Applied AI ML Director specializing in NLP and LLM. The role entails utilizing advanced machine learning techniques for data analytics, collaborating with diverse teams, and innovating solutions to business challenges. Ideal candidates will possess a PhD or substantial industry experience in quantitative disciplines with a solid background in NLP and machine learning tools. This position offers opportunities for professional growth and innovation at the intersection of finance and technology.

Qualifications

• PhD in a quantitative discipline or significant industry/research experience.
• Solid background in NLP, LLM, and graph analytics.
• Extensive experience with machine learning tools like TensorFlow and PyTorch.
• Ability to design experiments and evaluate model performance.
• Experience with big data and scalable model training.
• Strong communication skills for technical concepts.

Responsibilities

• Research new machine learning methods through study and experimentation.
• Develop machine learning models for NLP and other tasks.
• Collaborate with partner teams to deploy solutions.
• Drive initiatives by developing frameworks for machine learning applications.

Job description

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm’s data and analytics journey. This includes ensuring the quality, integrity, and security of the company’s data, as well as leveraging this data to generate insights and drive decision‑making. The CDAO is also responsible for developing and implementing solutions that support the firm’s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.

As an Applied AI ML Director – NLP / LLM and Graphs within the Chief Data & Analytics Office, Machine Learning Centre of Excellence, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including natural language processing, graph analytics, speech analytics, time series, reinforcement learning and recommendation systems. You will collaborate with various teams and actively participate in our knowledge sharing community. We are looking for someone who excels in a highly collaborative environment, working together with our business, technologists and control partners to deploy solutions into production. If you have a strong passion for machine learning and enjoy investing time towards learning, researching and experimenting with new innovations in the field, this role is for you. We value solid expertise in Deep Learning with hands‑on implementation experience, strong analytical thinking, a deep desire to learn and high motivation.

Job Responsibilities

• Research and explore new machine learning methods through independent study, attending industry‑leading conferences, experimentation and participating in our knowledge sharing community
• Develop state‑of‑the‑art machine learning models to solve real‑world problems and apply them to tasks such as natural language processing (NLP), speech recognition and analytics, time‑series predictions or recommendation systems
• Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production
• Drive firm‑wide initiatives by developing large‑scale frameworks to accelerate the application of machine learning models across different areas of the business

Required Qualifications

• PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science, or an MS with significant years of industry or research experience in the field.
• Solid background in NLP, LLM and graph analytics and hands‑on experience and solid understanding of machine learning and deep learning methods.
• Extensive experience with machine learning and deep learning toolkits (e.g., TensorFlow, PyTorch, NumPy, Scikit‑Learn, Pandas).
• Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals.
• Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.
• Scientific thinking with the ability to invent and work both independently and in highly collaborative team environments.
• Curious, hardworking and detail‑oriented, and motivated by complex analytical problems.

Preferred Qualifications

• Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development.
• Knowledge in search/ranking, Reinforcement Learning or Meta Learning.
• Experience with A/B experimentation and data/metric‑driven product development, cloud‑native deployment in a large‑scale distributed environment and ability to develop and debug production‑quality code.
• Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal.

About MLCOE

The Machine Learning Center of Excellence (MCLOE) team partners across the firm to create and share Machine Learning Solutions for our most challenging business problems. In this role you will work and collaborate with a team comprised of a multi‑disciplinary community of experts focused exclusively on Machine Learning. On this team you will work with cutting‑edge techniques in disciplines such as Deep Learning and Reinforcement Learning.

For more information about the MLCOE, please visit http://www.jpmorgan.com/mlcoe.