Analytics intern Work, Jobs in Crouch End, Gtl (with Salaries)

2026 Machine Learning Center of Excellence (NLP)-Internship
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JD.COM INTERNATIONAL UK LTD —London
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Pairwise —London
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SharingOS —London
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12d
Data Engineer Intern
Quantyra Technologies —Hounslow West
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ABN AMRO —London
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Natixis —London
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Intern - Internal Audit
Natixis —London
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Quantitative Analyst Internship
Energy Aspects —London
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Intern - Internal Audit
Natixis CIB London —London
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Platform Campaigns Project Intern (Campaign UK) - 2026 Start (BS/MS)
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Moët Hennessy —London
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JDY - HRSSC Golbal Payroll Intern
JINGDONG RETAIL (UK) LIMITED —London
- Microsoft Excel
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2027 Summer Internship Program - EMEA
BlackRock Investments —London
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FBT Seller Growth Project Intern (K-Beauty) - Korean Speaker, TikTok Shop (Logistics FBT) - 2026 Start (BS/MS)
TikTok —London
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JD Young Supply Chain Operations Internship
JINGDONG RETAIL (UK) LIMITED —London
- Master's degree
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9d

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2026 Machine Learning Center of Excellence (NLP)-Internship

JPMorganChase -
London

Apply Now

Job details

Full-time
3 days ago

Qualifications

TensorFlow
Doctoral degree
PyTorch
NumPy
Pandas
Maths
Machine learning
Continuous integration
Deep learning
Natural language processing
Financial services
Python
Debugging

Full job description

JOB DESCRIPTION

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. As a part of CDAO, The Machine Learning Center of Excellence (MLCOE) partners across the firm to shape, create, and deploy Machine Learning Solutions for our most challenging business problems. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.

As an intern within the MLCOE, you will apply sophisticated machine learning methods to a diverse range of complex domains, including natural language processing, large language models, speech recognition and understanding, reinforcement learning, and recommendation systems. You will collaborate closely with MLCOE mentors, business experts, and technologists, conducting independent research and deploying solutions into production. A strong passion for machine learning, solid expertise in deep learning with hands-on implementation experience, and a commitment to continuous learning and innovation are essential. This role offers a unique opportunity to contribute to and learn from a world-class machine learning team. Learn more about our MLCOE team at jpmorgan.com/mlcoe.

Our Summer Associate Internship Program begins in June, depending on your academic calendar. Your professional growth and development will be supported throughout the internship program via project work related to your academic and professional interests, mentorship, an engaging speaker series with our senior leaders and more. Your project will have direct impact on JPMorgan's businesses, will be integrated into our product pipelines, or be part of published research in top AI/ML conferences. Full-time employment offers may be extended upon successful completion of the program within our hybrid work model.

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 natural language processing (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

Required qualifications, capabilities, and skills

Enrolled in a PhD or MS in a quantitative discipline, e.g., Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, Data Science, or related fields, or equivalent research or industry experience,
Expected graduation date of December 2026 through August 2027
Solid background in NLP, large language models, speech recognition and modelling, or personalization/recommendation. Familiarity with state-of-the-art practice in these domains
Proficient in Python, and experience with machine learning and deep learning toolkits (e.g., TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
Scientific thinking, ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals
Solid written and spoken communication to effectively communicate technical concepts and results to both technical, and business audiences
Ability to work both independently and in highly collaborative team environments

Preferred qualifications, capabilities, and skills

Strong background in Mathematics and Statistics
Familiarity with the financial services industries
Published research in areas of natural language processing, deep learning, or reinforcement learning at a major conference or journal
Ability to develop and debug production-quality code
Familiarity with continuous integration models and unit test development
Published research in areas of natural language processing, speech recognition, reinforcement learning, or deep learning at a major conference or journal

#MLCOE_jobs

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. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Apply Now

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