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2026 Applied AI/ML Associate Program - Internship

JP Morgan Chase

Software and Technology Jobs

2026 Applied AI/ML Associate Program - Internship

internshipPosted: Oct 30, 2025

Job Description

2026 Applied AI/ML Associate Program - Internship

Location: LONDON, United Kingdom

Job Family: Seasonal Employee

About the Role

JPMorgan Chase & Co. is a leading global financial services firm with assets of $3.9 trillion and operations worldwide, committed to innovation in technology to drive client success. The 2026 Applied AI/ML Associate Program - Internship offers a unique summer opportunity in London to shape the future of generative AI through our cutting-edge LLM Suite. As a Seasonal Employee, you will immerse yourself in real-world applications of artificial intelligence within the financial sector, working on transformative projects that leverage large language models to enhance banking services, from predictive analytics to automated compliance. This 10-12 week program is designed for top talent graduating in 2026, providing hands-on experience in a collaborative environment where your contributions directly impact JPMorgan's AI strategy. In this role, you will join a dynamic team of AI experts, data scientists, and financial technologists to develop and refine generative AI solutions tailored to the complexities of the financial industry. Responsibilities include experimenting with LLMs to optimize trading algorithms, generating synthetic data for risk simulations, and building conversational AI tools for client interactions. You will tackle challenges such as ensuring model robustness against market volatility and adhering to stringent regulatory frameworks like GDPR and FCA guidelines. Through mentorship from senior leaders, you will gain insights into how AI intersects with core banking functions, including investment banking, asset management, and corporate finance, fostering skills that are pivotal in today's data-driven financial landscape. The program emphasizes professional growth, with structured learning sessions on advanced AI techniques and exposure to JPMorgan's vast resources, including proprietary datasets from global markets. Interns collaborate on innovative initiatives that could redefine personalized financial advice and fraud prevention, all while upholding our commitment to responsible AI. This internship not only builds your technical expertise but also your understanding of ethical considerations in deploying AI at scale within a trusted financial institution. Successful participants often transition to full-time roles, advancing their careers in one of the world's most influential firms.

Key Responsibilities

  • Collaborate with cross-functional teams to develop and deploy generative AI solutions using the LLM Suite for financial applications
  • Conduct research and experimentation on large language models to enhance risk assessment and fraud detection models
  • Analyze financial datasets to train and fine-tune AI/ML models, ensuring accuracy and compliance with regulatory standards
  • Contribute to the design of AI-driven tools for client advisory services, such as personalized investment recommendations
  • Participate in code reviews and iterative improvements to AI prototypes, focusing on scalability in high-volume trading environments
  • Assist in evaluating model performance metrics and integrating feedback loops for continuous learning in dynamic market conditions
  • Document technical processes and present findings to senior stakeholders on AI innovations in wealth management
  • Support the integration of generative AI into JPMorgan Chase's broader technology ecosystem, including secure data handling
  • Engage in ethical AI discussions to mitigate risks in financial decision-making powered by LLMs
  • Contribute to innovation workshops, exploring emerging AI trends relevant to global banking operations

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Engineering, or a related quantitative field, with expected graduation in 2026
  • Strong academic record with a minimum GPA of 3.5 or equivalent
  • Proficiency in Python programming and experience with machine learning frameworks such as TensorFlow or PyTorch
  • Demonstrated interest in artificial intelligence, particularly generative AI and large language models (LLMs)
  • Eligibility to work in the UK for the duration of the internship
  • Prior exposure to data analysis or AI projects through coursework, research, or personal initiatives
  • Excellent English communication skills, both written and verbal

Preferred Qualifications

  • Experience with natural language processing (NLP) techniques or generative AI tools like GPT models
  • Internship or project experience in the financial services sector, such as fintech or banking applications
  • Familiarity with cloud platforms like AWS, Azure, or Google Cloud for AI model deployment
  • Participation in AI/ML competitions, hackathons, or relevant certifications (e.g., Coursera AI specializations)
  • Knowledge of ethical AI principles and bias mitigation in financial contexts

Required Skills

  • Python and R programming for data manipulation and model building
  • Machine learning algorithms, including supervised and unsupervised learning
  • Natural language processing (NLP) and transformer models
  • Data preprocessing and feature engineering with tools like Pandas and NumPy
  • Version control using Git and collaborative development practices
  • Statistical analysis and hypothesis testing for financial datasets
  • Cloud computing basics for AI deployment (e.g., AWS SageMaker)
  • Problem-solving and analytical thinking in complex environments
  • Team collaboration and communication for cross-functional projects
  • Attention to detail and ethical reasoning in AI applications
  • Adaptability to fast-paced financial industry demands
  • Basic understanding of financial concepts like risk modeling and market data
  • Proficiency in Jupyter Notebooks for experimentation and visualization
  • Time management for handling multiple AI research tasks
  • Curiosity and eagerness to learn emerging AI technologies

Benefits

  • Competitive hourly pay and performance-based bonuses for the summer internship period
  • Comprehensive professional development through JPMorgan's renowned training programs, including AI/ML workshops
  • Networking opportunities with industry leaders and exposure to real-world financial projects
  • Flexible work arrangements in a hybrid model at the London office, promoting work-life balance
  • Access to employee wellness programs, including mental health support and fitness reimbursements
  • Potential for full-time conversion upon program completion, with pathways to the Applied AI/ML Associate role
  • Global mobility support and international exposure within JPMorgan Chase's network
  • Inclusive culture with diversity initiatives and mentorship from experienced AI professionals

JP Morgan Chase is an equal opportunity employer.

Locations

  • LONDON, GB

Salary

Estimated Salary Rangehigh confidence

65,000 - 85,000 GBP / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Python and R programming for data manipulation and model buildingintermediate
  • Machine learning algorithms, including supervised and unsupervised learningintermediate
  • Natural language processing (NLP) and transformer modelsintermediate
  • Data preprocessing and feature engineering with tools like Pandas and NumPyintermediate
  • Version control using Git and collaborative development practicesintermediate
  • Statistical analysis and hypothesis testing for financial datasetsintermediate
  • Cloud computing basics for AI deployment (e.g., AWS SageMaker)intermediate
  • Problem-solving and analytical thinking in complex environmentsintermediate
  • Team collaboration and communication for cross-functional projectsintermediate
  • Attention to detail and ethical reasoning in AI applicationsintermediate
  • Adaptability to fast-paced financial industry demandsintermediate
  • Basic understanding of financial concepts like risk modeling and market dataintermediate
  • Proficiency in Jupyter Notebooks for experimentation and visualizationintermediate
  • Time management for handling multiple AI research tasksintermediate
  • Curiosity and eagerness to learn emerging AI technologiesintermediate

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Engineering, or a related quantitative field, with expected graduation in 2026 (experience)
  • Strong academic record with a minimum GPA of 3.5 or equivalent (experience)
  • Proficiency in Python programming and experience with machine learning frameworks such as TensorFlow or PyTorch (experience)
  • Demonstrated interest in artificial intelligence, particularly generative AI and large language models (LLMs) (experience)
  • Eligibility to work in the UK for the duration of the internship (experience)
  • Prior exposure to data analysis or AI projects through coursework, research, or personal initiatives (experience)
  • Excellent English communication skills, both written and verbal (experience)

Preferred Qualifications

  • Experience with natural language processing (NLP) techniques or generative AI tools like GPT models (experience)
  • Internship or project experience in the financial services sector, such as fintech or banking applications (experience)
  • Familiarity with cloud platforms like AWS, Azure, or Google Cloud for AI model deployment (experience)
  • Participation in AI/ML competitions, hackathons, or relevant certifications (e.g., Coursera AI specializations) (experience)
  • Knowledge of ethical AI principles and bias mitigation in financial contexts (experience)

Responsibilities

  • Collaborate with cross-functional teams to develop and deploy generative AI solutions using the LLM Suite for financial applications
  • Conduct research and experimentation on large language models to enhance risk assessment and fraud detection models
  • Analyze financial datasets to train and fine-tune AI/ML models, ensuring accuracy and compliance with regulatory standards
  • Contribute to the design of AI-driven tools for client advisory services, such as personalized investment recommendations
  • Participate in code reviews and iterative improvements to AI prototypes, focusing on scalability in high-volume trading environments
  • Assist in evaluating model performance metrics and integrating feedback loops for continuous learning in dynamic market conditions
  • Document technical processes and present findings to senior stakeholders on AI innovations in wealth management
  • Support the integration of generative AI into JPMorgan Chase's broader technology ecosystem, including secure data handling
  • Engage in ethical AI discussions to mitigate risks in financial decision-making powered by LLMs
  • Contribute to innovation workshops, exploring emerging AI trends relevant to global banking operations

Benefits

  • general: Competitive hourly pay and performance-based bonuses for the summer internship period
  • general: Comprehensive professional development through JPMorgan's renowned training programs, including AI/ML workshops
  • general: Networking opportunities with industry leaders and exposure to real-world financial projects
  • general: Flexible work arrangements in a hybrid model at the London office, promoting work-life balance
  • general: Access to employee wellness programs, including mental health support and fitness reimbursements
  • general: Potential for full-time conversion upon program completion, with pathways to the Applied AI/ML Associate role
  • general: Global mobility support and international exposure within JPMorgan Chase's network
  • general: Inclusive culture with diversity initiatives and mentorship from experienced AI professionals

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JP Morgan Chase logo

2026 Applied AI/ML Associate Program - Internship

JP Morgan Chase

Software and Technology Jobs

2026 Applied AI/ML Associate Program - Internship

internshipPosted: Oct 30, 2025

Job Description

2026 Applied AI/ML Associate Program - Internship

Location: LONDON, United Kingdom

Job Family: Seasonal Employee

About the Role

JPMorgan Chase & Co. is a leading global financial services firm with assets of $3.9 trillion and operations worldwide, committed to innovation in technology to drive client success. The 2026 Applied AI/ML Associate Program - Internship offers a unique summer opportunity in London to shape the future of generative AI through our cutting-edge LLM Suite. As a Seasonal Employee, you will immerse yourself in real-world applications of artificial intelligence within the financial sector, working on transformative projects that leverage large language models to enhance banking services, from predictive analytics to automated compliance. This 10-12 week program is designed for top talent graduating in 2026, providing hands-on experience in a collaborative environment where your contributions directly impact JPMorgan's AI strategy. In this role, you will join a dynamic team of AI experts, data scientists, and financial technologists to develop and refine generative AI solutions tailored to the complexities of the financial industry. Responsibilities include experimenting with LLMs to optimize trading algorithms, generating synthetic data for risk simulations, and building conversational AI tools for client interactions. You will tackle challenges such as ensuring model robustness against market volatility and adhering to stringent regulatory frameworks like GDPR and FCA guidelines. Through mentorship from senior leaders, you will gain insights into how AI intersects with core banking functions, including investment banking, asset management, and corporate finance, fostering skills that are pivotal in today's data-driven financial landscape. The program emphasizes professional growth, with structured learning sessions on advanced AI techniques and exposure to JPMorgan's vast resources, including proprietary datasets from global markets. Interns collaborate on innovative initiatives that could redefine personalized financial advice and fraud prevention, all while upholding our commitment to responsible AI. This internship not only builds your technical expertise but also your understanding of ethical considerations in deploying AI at scale within a trusted financial institution. Successful participants often transition to full-time roles, advancing their careers in one of the world's most influential firms.

Key Responsibilities

  • Collaborate with cross-functional teams to develop and deploy generative AI solutions using the LLM Suite for financial applications
  • Conduct research and experimentation on large language models to enhance risk assessment and fraud detection models
  • Analyze financial datasets to train and fine-tune AI/ML models, ensuring accuracy and compliance with regulatory standards
  • Contribute to the design of AI-driven tools for client advisory services, such as personalized investment recommendations
  • Participate in code reviews and iterative improvements to AI prototypes, focusing on scalability in high-volume trading environments
  • Assist in evaluating model performance metrics and integrating feedback loops for continuous learning in dynamic market conditions
  • Document technical processes and present findings to senior stakeholders on AI innovations in wealth management
  • Support the integration of generative AI into JPMorgan Chase's broader technology ecosystem, including secure data handling
  • Engage in ethical AI discussions to mitigate risks in financial decision-making powered by LLMs
  • Contribute to innovation workshops, exploring emerging AI trends relevant to global banking operations

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Engineering, or a related quantitative field, with expected graduation in 2026
  • Strong academic record with a minimum GPA of 3.5 or equivalent
  • Proficiency in Python programming and experience with machine learning frameworks such as TensorFlow or PyTorch
  • Demonstrated interest in artificial intelligence, particularly generative AI and large language models (LLMs)
  • Eligibility to work in the UK for the duration of the internship
  • Prior exposure to data analysis or AI projects through coursework, research, or personal initiatives
  • Excellent English communication skills, both written and verbal

Preferred Qualifications

  • Experience with natural language processing (NLP) techniques or generative AI tools like GPT models
  • Internship or project experience in the financial services sector, such as fintech or banking applications
  • Familiarity with cloud platforms like AWS, Azure, or Google Cloud for AI model deployment
  • Participation in AI/ML competitions, hackathons, or relevant certifications (e.g., Coursera AI specializations)
  • Knowledge of ethical AI principles and bias mitigation in financial contexts

Required Skills

  • Python and R programming for data manipulation and model building
  • Machine learning algorithms, including supervised and unsupervised learning
  • Natural language processing (NLP) and transformer models
  • Data preprocessing and feature engineering with tools like Pandas and NumPy
  • Version control using Git and collaborative development practices
  • Statistical analysis and hypothesis testing for financial datasets
  • Cloud computing basics for AI deployment (e.g., AWS SageMaker)
  • Problem-solving and analytical thinking in complex environments
  • Team collaboration and communication for cross-functional projects
  • Attention to detail and ethical reasoning in AI applications
  • Adaptability to fast-paced financial industry demands
  • Basic understanding of financial concepts like risk modeling and market data
  • Proficiency in Jupyter Notebooks for experimentation and visualization
  • Time management for handling multiple AI research tasks
  • Curiosity and eagerness to learn emerging AI technologies

Benefits

  • Competitive hourly pay and performance-based bonuses for the summer internship period
  • Comprehensive professional development through JPMorgan's renowned training programs, including AI/ML workshops
  • Networking opportunities with industry leaders and exposure to real-world financial projects
  • Flexible work arrangements in a hybrid model at the London office, promoting work-life balance
  • Access to employee wellness programs, including mental health support and fitness reimbursements
  • Potential for full-time conversion upon program completion, with pathways to the Applied AI/ML Associate role
  • Global mobility support and international exposure within JPMorgan Chase's network
  • Inclusive culture with diversity initiatives and mentorship from experienced AI professionals

JP Morgan Chase is an equal opportunity employer.

Locations

  • LONDON, GB

Salary

Estimated Salary Rangehigh confidence

65,000 - 85,000 GBP / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Python and R programming for data manipulation and model buildingintermediate
  • Machine learning algorithms, including supervised and unsupervised learningintermediate
  • Natural language processing (NLP) and transformer modelsintermediate
  • Data preprocessing and feature engineering with tools like Pandas and NumPyintermediate
  • Version control using Git and collaborative development practicesintermediate
  • Statistical analysis and hypothesis testing for financial datasetsintermediate
  • Cloud computing basics for AI deployment (e.g., AWS SageMaker)intermediate
  • Problem-solving and analytical thinking in complex environmentsintermediate
  • Team collaboration and communication for cross-functional projectsintermediate
  • Attention to detail and ethical reasoning in AI applicationsintermediate
  • Adaptability to fast-paced financial industry demandsintermediate
  • Basic understanding of financial concepts like risk modeling and market dataintermediate
  • Proficiency in Jupyter Notebooks for experimentation and visualizationintermediate
  • Time management for handling multiple AI research tasksintermediate
  • Curiosity and eagerness to learn emerging AI technologiesintermediate

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Engineering, or a related quantitative field, with expected graduation in 2026 (experience)
  • Strong academic record with a minimum GPA of 3.5 or equivalent (experience)
  • Proficiency in Python programming and experience with machine learning frameworks such as TensorFlow or PyTorch (experience)
  • Demonstrated interest in artificial intelligence, particularly generative AI and large language models (LLMs) (experience)
  • Eligibility to work in the UK for the duration of the internship (experience)
  • Prior exposure to data analysis or AI projects through coursework, research, or personal initiatives (experience)
  • Excellent English communication skills, both written and verbal (experience)

Preferred Qualifications

  • Experience with natural language processing (NLP) techniques or generative AI tools like GPT models (experience)
  • Internship or project experience in the financial services sector, such as fintech or banking applications (experience)
  • Familiarity with cloud platforms like AWS, Azure, or Google Cloud for AI model deployment (experience)
  • Participation in AI/ML competitions, hackathons, or relevant certifications (e.g., Coursera AI specializations) (experience)
  • Knowledge of ethical AI principles and bias mitigation in financial contexts (experience)

Responsibilities

  • Collaborate with cross-functional teams to develop and deploy generative AI solutions using the LLM Suite for financial applications
  • Conduct research and experimentation on large language models to enhance risk assessment and fraud detection models
  • Analyze financial datasets to train and fine-tune AI/ML models, ensuring accuracy and compliance with regulatory standards
  • Contribute to the design of AI-driven tools for client advisory services, such as personalized investment recommendations
  • Participate in code reviews and iterative improvements to AI prototypes, focusing on scalability in high-volume trading environments
  • Assist in evaluating model performance metrics and integrating feedback loops for continuous learning in dynamic market conditions
  • Document technical processes and present findings to senior stakeholders on AI innovations in wealth management
  • Support the integration of generative AI into JPMorgan Chase's broader technology ecosystem, including secure data handling
  • Engage in ethical AI discussions to mitigate risks in financial decision-making powered by LLMs
  • Contribute to innovation workshops, exploring emerging AI trends relevant to global banking operations

Benefits

  • general: Competitive hourly pay and performance-based bonuses for the summer internship period
  • general: Comprehensive professional development through JPMorgan's renowned training programs, including AI/ML workshops
  • general: Networking opportunities with industry leaders and exposure to real-world financial projects
  • general: Flexible work arrangements in a hybrid model at the London office, promoting work-life balance
  • general: Access to employee wellness programs, including mental health support and fitness reimbursements
  • general: Potential for full-time conversion upon program completion, with pathways to the Applied AI/ML Associate role
  • general: Global mobility support and international exposure within JPMorgan Chase's network
  • general: Inclusive culture with diversity initiatives and mentorship from experienced AI professionals

Target Your Resume for "2026 Applied AI/ML Associate Program - Internship" , JP Morgan Chase

Get personalized recommendations to optimize your resume specifically for 2026 Applied AI/ML Associate Program - Internship. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "2026 Applied AI/ML Associate Program - Internship" , JP Morgan Chase

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Seasonal EmployeeFinancial ServicesBankingJP MorganSeasonal Employee

Answer 10 quick questions to check your fit for 2026 Applied AI/ML Associate Program - Internship @ JP Morgan Chase.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.