At a Glance
- Tasks: Create cutting-edge machine learning models for NLP, speech recognition, and analytics.
- Company: Join JPMorgan Chase's Chief Data & Analytics Office, a leader in data innovation.
- Benefits: Competitive salary, diverse work culture, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on diversity, inclusion, and career advancement.
- Why this job: Make a real impact with advanced AI technologies and collaborate across teams.
- Qualifications: PhD or MS in a quantitative field with strong NLP and machine learning skills.
The predicted salary is between 100000 - 150000 £ per year.
Job Responsibilities
- Create state‑of‑the‑art machine learning models to solve real‑world problems and apply them to 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.
- Research and explore new machine learning methods through independent study, attending industry‑leading conferences, experimentation and participation in knowledge‑sharing community.
Required Qualifications, Capabilities, and Skills
- PhD in a quantitative discipline (Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science) or an MS with significant industry or research experience.
- Solid background in NLP, LLM, and graph analytics plus hands‑on experience and solid understanding of machine learning and deep learning methods.
- Hands‑on experience building agentic AI / multi‑agent systems within regulated or compliance‑driven environments.
- Ability to design experiments and training frameworks, outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals, focusing on agentic systems and LLM evaluation.
- 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 ability to invent and work independently and in highly collaborative teams.
- Motivated by complex analytical problems; curious, hardworking, detail‑oriented.
Preferred Qualifications, Capabilities, and Skills
- Strong background in Mathematics and Statistics and familiarity with financial services industry and continuous integration models and unit test development.
- Knowledge of graph integration with LLM, 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 machine learning, deep learning or reinforcement learning at a major conference or journal.
About the Job
The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm’s data and analytics journey. The Applied AI ML Director – NLP / LLM and Graphs role will apply sophisticated machine learning methods to complex tasks including natural language processing, graph analytics, speech analytics, time series, reinforcement learning and recommendation systems, and collaborate with various teams. We value solid expertise in deep learning with hands‑on implementation experience, strong analytical thinking, a deep desire to learn and high motivation.
EEO Statement
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal‑opportunity employer and place a high value on diversity and inclusion. We do not discriminate on the basis of any protected attribute and make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.
Applied AI ML Director - NLP / LLM and Graphs in London employer: Fairygodboss
At JPMorgan Chase, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As an Applied AI ML Director, you will have the opportunity to work with cutting-edge technologies in a supportive environment that values diversity and inclusion, while also providing ample opportunities for professional growth and development. Our commitment to employee well-being and continuous learning ensures that you can thrive both personally and professionally in this exciting role.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI ML Director - NLP / LLM and Graphs in London
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, conferences, or even online webinars. The more people you know, the better your chances of landing that dream job.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of your projects, especially those related to NLP and machine learning. This will give potential employers a taste of what you can do.
✨Ace the Interview
Prepare for technical interviews by brushing up on your knowledge of machine learning models and algorithms. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both techies and non-techies.
✨Apply Through Our Website
Make sure to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Applied AI ML Director - NLP / LLM and Graphs in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with NLP, LLM, and graph analytics in your application. We want to see how you've tackled real-world problems using machine learning methods, so don’t hold back!
Tailor Your Application:Customise your CV and cover letter to reflect the job description. Use keywords from the posting to demonstrate that you understand what we’re looking for and how you fit into our vision.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate solid written communication, so make sure your technical concepts are easy to understand for both technical and business audiences.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Fairygodboss
✨Know Your Stuff
Make sure you brush up on your knowledge of NLP, LLM, and graph analytics. Be ready to discuss specific projects you've worked on and how they relate to the job. This shows you're not just familiar with the concepts but have practical experience applying them.
✨Collaborate Like a Pro
Since this role involves working with various teams, think of examples where you've successfully collaborated in the past. Prepare to share how you navigated different perspectives and drove initiatives forward. Highlighting your teamwork skills can set you apart.
✨Experimentation is Key
Be prepared to talk about your experience with designing experiments and evaluating model performance. Discuss any A/B testing or data-driven product development you've been involved in. This will demonstrate your analytical mindset and ability to align technical work with business goals.
✨Stay Curious and Engaged
Show your passion for continuous learning by mentioning any recent conferences you've attended or research you've conducted. This reflects your commitment to staying at the forefront of machine learning advancements and your eagerness to bring fresh ideas to the table.
