Campus - Internship Programme - Undergraduate AI Engineer - 2027 (UK - London)

American Express
London
Workplace: HybridInternshipFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Communication","Collaboration","Documentation","Learning agility"]

Support the development and integration of AI/ML models, LLM integrations, and intelligent services into controlled or production-like systems. Help with data collection, preprocessing, and evaluation workflows, and contribute to testing, debugging, and improving reliability, explainability, and maintainability. Collaborate with engineering, product, data, risk, security, and business partners while documenting model parameters and system decisions in an Agile, enterprise environment.

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FursaFursa
American Express
American Express
3 days ago

Campus - Internship Programme - Undergraduate AI Engineer - 2027 (UK - London)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Support the development and integration of AI/ML models, LLM integrations, and intelligent services into controlled or production-like systems. Help with data collection, preprocessing, and evaluation workflows, and contribute to testing, debugging, and improving reliability, explainability, and maintainability. Collaborate with engineering, product, data, risk, security, and business partners while documenting model parameters and system decisions in an Agile, enterprise environment.
Location: London
Workplace: Hybrid
Employment Type: Internship
Job Function: Data Science & Machine Learning
Seniority: Intern level

Key Responsibilities

  • •Support the development and integration of AI/ML models, LLM integrations, or intelligent services into controlled or production-like systems under guidance.
  • •Assist with data collection, preprocessing, transformation, and management to enable model training, testing, validation, and evaluation.
  • •Contribute to testing, debugging, and improving AI-enabled solutions to strengthen performance, reliability, explainability, and maintainability.
  • •Support AI capabilities such as model training workflows, inference endpoints, prompt-based interactions, evaluation routines, and agentic workflows.
  • •Collaborate with engineering, product, data, risk, security, and business partners; document model parameters, prompts, evaluation assumptions, data pipelines, and integration decisions while working in Agile ceremonies.

Pay and Benefits

Perks:Wellness StipendCounselling Support

Key Requirements

  • •Currently enrolled in a Master’s degree program in Computer Science, Machine Learning, Data Science, Computer Engineering, or a related technical field.
  • •Knowledge of Python and foundational data processing technologies.
  • •Foundational understanding of computer science concepts, including data structures, algorithms, debugging, testing, and problem solving.
  • •Understanding of machine learning concepts such as model training, evaluation, feature engineering, and experimentation.
  • •Experience using modern AI systems such as LLM APIs, prompt-based interactions, retrieval patterns, or generative AI applications; awareness of responsible AI, security, governance, and compliance.
Education:Bachelor's
Skills:CommunicationCollaborationDocumentationLearning agility
Tech Stack:PythonRJavaJavaScriptLLM APIsPrompt engineeringRetrieval patternsGenerative AIEmbeddingsTransformersBERTNLPAPIsMicroservicesInference endpointsETLSQLCI/CDContainersObservability

Company Brief

American Express
Provides global payment, credit, and travel-related financial services for consumers and businesses. Best known for its charge and credit cards, merchant payment network, and premium customer rewards and servicing.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York City, United States
Founded: 1850
WebsiteLinkedIn