NLP / LLM Scientist - Applied AI ML Senior Associate - Machine Learning Centre of Excellence Apply now
NLP / LLM Scientist - Applied AI ML Senior Associate - Machine Learning Centre of Excellence

NLP / LLM Scientist - Applied AI ML Senior Associate - Machine Learning Centre of Excellence

London Full-Time 43200 - 72000 £ / year (est.)
Apply now
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At a Glance

  • Tasks: Dive into cutting-edge machine learning tasks like NLP, speech analytics, and recommendation systems.
  • Company: Join J.P. Morgan, a global leader in financial services with a commitment to diversity and inclusion.
  • Benefits: Collaborate with experts, access top-tier resources, and work on impactful projects in a supportive environment.
  • Why this job: Be part of a dynamic team driving innovation in machine learning while solving real-world challenges.
  • Qualifications: PhD or MS in a quantitative field with hands-on experience in machine learning and deep learning.
  • Other info: Ideal for curious, detail-oriented individuals eager to tackle complex analytical problems.

The predicted salary is between 43200 - 72000 £ per year.

This job is brought to you by Jobs/Redefined, the UK’s leading over-50s age inclusive jobs board.

Job Description

NLP / LLM Scientist – Applied AI ML Senior Associate – Machine Learning Centre of Excellence

The Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems.

The candidate must excel in working in a highly collaborative environment together with the business, technologists and control partners to deploy solutions into production. The candidate must also have a strong passion for machine learning and invest independent time towards learning, researching and experimenting with new innovations in the field. The candidate must have practiced expertise in Deep Learning with hands-on implementation experience and possess strong analytical thinking, a deep desire to learn and be highly motivated.

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 it to tasks such as 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, Capabilities, and Skills

  • Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods.
  • PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science with reasonable industry experience, or an MS with industry or research experience in the field.
  • Applied 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 to work both independently and in highly collaborative team environments.
  • Curious, hardworking and detail-oriented, motivated by complex analytical problems.

Preferred Qualifications, Capabilities, and Skills

  • 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.

About Us

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

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 at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law.

About the Team

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

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NLP / LLM Scientist - Applied AI ML Senior Associate - Machine Learning Centre of Excellence employer: JPMorgan Chase & Co.

At J.P. Morgan, we pride ourselves on being an exceptional employer, particularly within our Machine Learning Center of Excellence. Our collaborative work culture fosters innovation and continuous learning, providing employees with ample opportunities for professional growth while tackling complex challenges in applied AI and machine learning. With a commitment to diversity and inclusion, we ensure that every team member's unique talents contribute to our collective success, making this an ideal environment for those passionate about advancing their careers in cutting-edge technology.
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Contact Detail:

JPMorgan Chase & Co. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land NLP / LLM Scientist - Applied AI ML Senior Associate - Machine Learning Centre of Excellence

✨Tip Number 1

Make sure to showcase your hands-on experience with machine learning and deep learning toolkits like TensorFlow and PyTorch. Highlight specific projects where you've applied these tools, as this will demonstrate your practical skills and understanding of the technologies.

✨Tip Number 2

Engage with the machine learning community by attending industry conferences or participating in online forums. This not only helps you stay updated on the latest trends but also allows you to network with professionals who might provide insights or referrals for job opportunities.

✨Tip Number 3

Collaborate on open-source projects or contribute to research papers in machine learning. This demonstrates your ability to work in a team and your commitment to advancing your knowledge in the field, which is crucial for a role that emphasizes collaboration.

✨Tip Number 4

Prepare to discuss your approach to designing experiments and evaluating model performance metrics. Being able to articulate your thought process and how it aligns with business goals will set you apart during interviews.

We think you need these skills to ace NLP / LLM Scientist - Applied AI ML Senior Associate - Machine Learning Centre of Excellence

Natural Language Processing (NLP)
Speech Recognition
Machine Learning
Deep Learning
TensorFlow
PyTorch
NumPy
Scikit-Learn
Pandas
Data Analysis
Experiment Design
Model Performance Evaluation
Big Data Technologies
Cloud-Native Deployment
Statistical Analysis
Reinforcement Learning
Meta Learning
A/B Testing
Communication Skills
Collaborative Teamwork
Scientific Thinking
Problem-Solving Skills
Curiosity and Motivation

Some tips for your application 🫡

Highlight Relevant Experience: Make sure to emphasize your hands-on experience with machine learning and deep learning toolkits like TensorFlow, PyTorch, and Scikit-Learn. Provide specific examples of projects where you've applied NLP or speech recognition techniques.

Showcase Your Passion for Learning: Demonstrate your enthusiasm for the field by mentioning any independent research, conferences attended, or innovative projects you've worked on. This will show that you're proactive and committed to staying updated in the rapidly evolving AI landscape.

Collaborative Mindset: Since the role requires collaboration with various teams, highlight your experience working in cross-functional teams. Share examples of how you've successfully partnered with business and technical stakeholders to deploy solutions.

Communicate Clearly: Given the need to convey complex technical concepts to both technical and non-technical audiences, ensure your application materials are clear and concise. Use straightforward language and avoid jargon where possible to make your expertise accessible.

How to prepare for a job interview at JPMorgan Chase & Co.

✨Show Your Passion for Machine Learning

Make sure to express your enthusiasm for machine learning during the interview. Share specific examples of projects you've worked on or innovations you've explored independently, as this demonstrates your commitment to the field.

✨Highlight Collaborative Experiences

Since the role requires working in a highly collaborative environment, be prepared to discuss your experiences collaborating with cross-functional teams. Provide examples of how you effectively communicated technical concepts to non-technical stakeholders.

✨Demonstrate Your Technical Skills

Be ready to discuss your hands-on experience with machine learning and deep learning toolkits like TensorFlow or PyTorch. You might also want to prepare to explain your approach to designing experiments and evaluating model performance metrics.

✨Prepare for Problem-Solving Questions

Expect to face complex analytical problems during the interview. Practice articulating your thought process when tackling these challenges, showcasing your scientific thinking and ability to invent solutions.

NLP / LLM Scientist - Applied AI ML Senior Associate - Machine Learning Centre of Excellence
JPMorgan Chase & Co. Apply now
J
  • NLP / LLM Scientist - Applied AI ML Senior Associate - Machine Learning Centre of Excellence

    London
    Full-Time
    43200 - 72000 £ / year (est.)
    Apply now

    Application deadline: 2027-01-10

  • J

    JPMorgan Chase & Co.

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