At a Glance
- Tasks: Develop cutting-edge machine learning models for real-world applications like NLP and recommendation systems.
- Company: Join JPMorgan Chase, a leader in financial services and innovation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Dynamic environment with opportunities for research and collaboration across various teams.
- Why this job: Make a real impact by leading AI initiatives and mentoring a talented team.
- Qualifications: PhD or MS in a quantitative field with strong NLP and machine learning experience.
The predicted salary is between 63000 - 77000 £ per year.
JPMorgan Chase provides financial services, including strategic advice and products to corporations, governments, wealthy individuals, and institutional investors. Its Chief Data & Analytics Office supports the firm’s data and analytics work, while the Machine Learning Center of Excellence develops and shares machine learning solutions for business problems.
Responsibilities:
- Develop state-of-the-art machine learning models for real-world problems, including NLP, speech recognition and analytics, time-series predictions, and recommendation systems.
- Collaborate with Business, Technology, Product Management, Legal, Compliance, Strategy, and Business Management teams to deploy solutions into production.
- Lead, mentor, and inspire a team of AI engineers, fostering excellence, innovation, and continuous learning.
- Drive firm-wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across business areas.
- Research and explore machine learning methods through independent study, conferences, experimentation, and participation in the knowledge-sharing community.
Requirements:
- PhD in a quantitative discipline such as Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science; alternatively, an MS with significant industry or research experience in the field.
- Strong background in NLP, LLM, and graph analytics, with hands-on experience and solid understanding of machine learning and deep learning methods.
- Hands-on experience building agentic AI or multi-agent systems in regulated or compliance-driven environments.
- Recent hands-on experience training and deploying models and pipelines.
- Ability to design experiments and training frameworks, and define and evaluate intrinsic and extrinsic model-performance metrics aligned with business goals, focusing on agentic systems and LLM evaluation.
- Experience with big data and scalable model training.
- Strong written and spoken communication skills for communicating technical concepts and results to technical and business audiences.
- Scientific thinking, ability to invent, and ability to work independently and collaboratively.
- Curiosity, diligence, attention to detail, and motivation to solve complex analytical problems.
Preferred:
- Strong Mathematics and Statistics background.
- Familiarity with financial services.
- Continuous integration models and unit test development.
- Graph integration with LLM.
- Reinforcement Learning or Meta Learning.
- A/B experimentation.
- Data- and metric-driven product development.
- Cloud-native deployment in large-scale distributed environments.
- Ability to develop and debug production-quality code.
- Published research in Machine Learning, Deep Learning, or Reinforcement Learning at a major conference or journal.
Applied AI ML Engineer (NLP / LLM and Graphs) 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 Applied AI ML Engineer (NLP / LLM and Graphs) in London
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