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For Companies 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.
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 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. For more information, visit . Read about our AI/ML initiatives at .
The Chief Data & Analytics Office (CDAO) at JPMorgan Chase ensures data quality, security, and leverages data insights to support commercial goals through AI/ML innovations, product development, productivity improvements, and risk management.
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:
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
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 challenges.
✨Tip Number 2
Showcase your collaborative skills by engaging in projects that involve cross-functional teams. Highlight any experience where you've successfully worked with business, technology, and compliance teams to implement machine learning solutions.
✨Tip Number 3
Demonstrate your hands-on expertise with machine learning frameworks like TensorFlow and PyTorch. Consider contributing to open-source projects or creating your own projects to showcase your skills and innovative thinking.
✨Tip Number 4
Stay curious and keep learning! Engage in continuous education through online courses or certifications related to deep learning and reinforcement learning to strengthen your knowledge and make you a more attractive candidate.
We think you need these skills to ace NLP / LLM Scientist - Applied AI ML Senior Associate - Machine Learning Centre of Excellence
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 hands-on expertise and analytical thinking.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for machine learning and your dedication to continuous learning. Mention how your skills align with the responsibilities of the role and your enthusiasm for collaborating with diverse teams.
Highlight Relevant Experience: In your application, emphasise any practical experience you have with machine learning toolkits like TensorFlow or PyTorch. Discuss any published research or significant projects that relate to the job description.
Showcase Your Problem-Solving Skills: Provide examples of complex analytical problems you've solved in the past. This could include details about experiments you've designed or frameworks you've developed, demonstrating your scientific mindset and innovative approach.
How to prepare for a job interview at JPMorgan Chase & Co.
✨Showcase Your Passion for Machine Learning
During the interview, make sure to express your enthusiasm for machine learning and its applications. 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, be ready to discuss your experience in collaborative environments. Highlight instances where you successfully worked with cross-functional teams to deploy solutions, showcasing your ability to communicate complex concepts clearly.
✨Discuss Your Research and Experimentation
Be prepared to talk about any research you've published or significant experiments you've conducted in machine learning. This will not only show your expertise but also your commitment to advancing the field and contributing to the company's initiatives.
