Campus - Full Time - AI Engineer - 2027 (UK - Burgess Hill)

American Express
United Kingdom
Workplace: HybridFull timeFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Communication","Collaboration","Documentation","Learning agility"]

Join a full-time graduate program to support the development, testing, and integration of AI/ML models, LLM integrations, intelligent services, and data retrieval pipelines. Under guidance, help with data collection, preprocessing, transformation, and validation, and contribute to debugging and improving AI-enabled solutions for reliability, explainability, and quality. Collaborate across engineering, product, data, risk, security, and business teams to deliver enterprise AI responsibly.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
American Express
American Express
3 days ago

Campus - Full Time - AI Engineer - 2027 (UK - Burgess Hill)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

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

Job Summary

Join a full-time graduate program to support the development, testing, and integration of AI/ML models, LLM integrations, intelligent services, and data retrieval pipelines. Under guidance, help with data collection, preprocessing, transformation, and validation, and contribute to debugging and improving AI-enabled solutions for reliability, explainability, and quality. Collaborate across engineering, product, data, risk, security, and business teams to deliver enterprise AI responsibly.
Location: United Kingdom
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Graduate level

Key Responsibilities

  • •Support the development, testing, and integration of AI/ML models, LLM integrations, intelligent services, or data retrieval pipelines under guidance.
  • •Assist with data collection, preprocessing, transformation, and validation for model training, testing, evaluation, and implementation.
  • •Contribute to debugging and improving AI-enabled solutions to strengthen performance, reliability, explainability, maintainability, and quality.
  • •Support AI capabilities such as model training workflows, inference endpoints, prompt-based interactions, evaluation routines, retrieval patterns, and agentic workflows.
  • •Collaborate with engineering, product, data, risk, security, and business partners, and document model parameters, prompts, data pipelines, integrations, and technical decisions.

Pay and Benefits

Perks:Learning BudgetRemote Work

Key Requirements

  • •Earn a Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, Artificial Intelligence, Computer Engineering, Software Engineering, or another technical field before the full-time start date.
  • •Have knowledge of Python and foundational data processing technologies.
  • •Understand core computer science concepts (data structures, algorithms, object-oriented programming, debugging, testing, and problem solving).
  • •Understand machine learning concepts including supervised/unsupervised learning, model training and evaluation, feature engineering, and experimentation.
  • •Have introductory understanding of modern AI systems such as LLM APIs, prompt-based interactions, retrieval patterns, or generative AI applications.
Education:Bachelor's
Skills:CommunicationCollaborationDocumentationLearning agility
Languages:US
Tech Stack:PythonRJavaJavaScriptLLM APIsPrompt engineeringPrompt evaluationRetrieval patternsEmbeddingsBERTTransformersNLPETLAPIsGitCI/CDAgileData pipelinesModel deploymentFunction calling

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