NLP / LLM Scientist - Applied AI ML Senior Associate - Machine Learning Centre of Excellence (Basé à London)
NLP / LLM Scientist - Applied AI ML Senior Associate - Machine Learning Centre of Excellence (Basé à London)

NLP / LLM Scientist - Applied AI ML Senior Associate - Machine Learning Centre of Excellence (Basé à London)

Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join us to develop cutting-edge machine learning models for NLP and speech analytics.
  • Company: J.P. Morgan is a global leader in financial services, fostering innovation and diversity.
  • Benefits: Enjoy a collaborative environment, continuous learning opportunities, and a focus on innovation.
  • Why this job: Be part of a team that tackles complex problems and drives real-world impact with AI.
  • Qualifications: PhD or MS in a quantitative field with hands-on experience in machine learning required.
  • Other info: Work in the Machine Learning Centre of Excellence, collaborating across various business areas.

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

The Machine Learning Center of Excellence invites applications for a role focused on applying sophisticated machine learning methods to complex tasks such as natural language processing, speech analytics, time series, reinforcement learning, and recommendation systems. The ideal candidate will excel in a highly collaborative environment, working with business teams, technologists, and control partners to deploy solutions into production. A strong passion for machine learning, along with dedication to continuous learning, research, and experimentation, is essential. Hands-on expertise in Deep Learning, analytical thinking, motivation, and a desire to innovate are also required.

Job Responsibilities

  • Research and explore new machine learning methods through independent study, industry conferences, experimentation, and knowledge sharing.
  • Develop state-of-the-art machine learning models for real-world problems in NLP, speech recognition, analytics, time-series prediction, or recommendation systems.
  • Collaborate with teams across Business, Technology, Product Management, Legal, Compliance, Strategy, and Business Management to deploy solutions into production.
  • Lead firm-wide initiatives by developing large-scale frameworks to accelerate machine learning application across various business areas.

Required qualifications, capabilities, and skills

  • Strong background in NLP, speech recognition, analytics, personalization/recommendation, with hands-on experience and understanding of machine learning and deep learning methods.
  • PhD in a quantitative discipline (e.g., Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, Data Science) with relevant industry or research experience, or an MS with equivalent experience.
  • Practical experience with machine learning and deep learning toolkits such as TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas.
  • Ability to design experiments, training frameworks, and evaluate model performance aligned with business goals.
  • Experience with big data, scalable model training, and effective communication of technical concepts to diverse audiences.
  • Scientific mindset, independence, collaboration skills, curiosity, diligence, and motivation to solve complex analytical problems.

Preferred qualifications, capabilities, and skills

  • Strong foundation in Mathematics and Statistics; familiarity with financial services, continuous integration, and unit testing.
  • Knowledge of search/ranking, Reinforcement Learning, or Meta Learning.
  • Experience with A/B testing, data-driven product development, cloud deployment, and debugging production-quality code.
  • Published research in Machine Learning, Deep Learning, or Reinforcement Learning at major conferences or journals.

About MLCOE

The Machine Learning Center of Excellence (MLCOE) collaborates across the firm to develop and share machine learning solutions for challenging business problems, focusing on cutting-edge techniques like Deep Learning and Reinforcement Learning.

About Us

J.P. Morgan is a global leader in financial services, committed to building trusted, long-term client relationships. We value diversity and inclusion, providing equal opportunities and accommodations for all applicants and employees.

About the Team

Our corporate functions support areas from finance to marketing, crucial for setting up our business success and ensuring our teams, clients, and employees thrive.

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Contact Detail:

Golden Bees 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 (Basé à London)

Tip Number 1

Familiarise yourself with the latest advancements in NLP and machine learning. Attend industry conferences or webinars to network with professionals in the field and gain insights into current trends and technologies that are being implemented.

Tip Number 2

Showcase your collaborative skills by engaging in projects that involve cross-functional teams. Highlight any experience where you've worked alongside business, technology, and compliance teams to demonstrate your ability to deploy solutions effectively.

Tip Number 3

Develop a portfolio of your work that includes practical applications of machine learning models, particularly in NLP and speech recognition. This will not only showcase your hands-on expertise but also your ability to solve real-world problems.

Tip Number 4

Stay updated on big data technologies and tools like TensorFlow and PyTorch. Consider contributing to open-source projects or participating in hackathons to enhance your skills and visibility in the machine learning community.

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

Natural Language Processing (NLP)
Deep Learning
Machine Learning
Speech Recognition
Time Series Analysis
Recommendation Systems
TensorFlow
PyTorch
NumPy
Scikit-Learn
Pandas
Experimental Design
Model Evaluation
Big Data Technologies
Effective Communication
Mathematics
Statistics
Reinforcement Learning
Meta Learning
A/B Testing
Cloud Deployment
Debugging Production Code
Research Publication

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in NLP, machine learning, and deep learning. Include specific projects or research that demonstrate your expertise in these areas, as well as any relevant tools you've used like TensorFlow or PyTorch.

Craft a Compelling Cover Letter: In your cover letter, express your passion for machine learning and your desire to innovate. Mention how your background aligns with the job responsibilities and how you can contribute to the Machine Learning Centre of Excellence.

Showcase Relevant Projects: If you have published research or completed significant projects in machine learning or NLP, be sure to include these in your application. Highlight any collaborative efforts and the impact of your work on real-world problems.

Prepare for Technical Questions: Anticipate technical questions related to machine learning methods and frameworks. Be ready to discuss your experience with designing experiments, evaluating model performance, and communicating complex concepts to diverse audiences.

How to prepare for a job interview at Golden Bees

Showcase Your Passion for Machine Learning

Make sure to express your enthusiasm for machine learning and its applications during the interview. Share specific examples of projects or research you've undertaken that demonstrate your dedication to continuous learning and innovation in this field.

Prepare for Technical Questions

Expect to be asked about your hands-on experience with machine learning frameworks like TensorFlow and PyTorch. Brush up on your knowledge of NLP, deep learning methods, and how you’ve applied them in real-world scenarios to effectively answer technical questions.

Demonstrate Collaborative Skills

Since the role involves working with various teams, highlight your ability to collaborate effectively. Prepare examples of past experiences where you successfully worked with cross-functional teams to deploy solutions or tackle complex problems.

Discuss Your Research and Experimentation

Be ready to talk about any published research or experiments you've conducted in machine learning or related fields. This will showcase your analytical thinking and scientific mindset, which are crucial for the role.

NLP / LLM Scientist - Applied AI ML Senior Associate - Machine Learning Centre of Excellence (Basé à London)
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  • NLP / LLM Scientist - Applied AI ML Senior Associate - Machine Learning Centre of Excellence (Basé à London)

    Full-Time
    43200 - 72000 £ / year (est.)
  • G

    Golden Bees

    50-100
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