> Markdown version of [/jobs/ext/3314421-2027-graduate-talent-program-group-internal-consulting-ai-engineer](https://www.wearedevelopers.com/jobs/ext/3314421-2027-graduate-talent-program-group-internal-consulting-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# 2027 Graduate Talent Program - Group Internal Consulting - AI Engineer

- **Company:** UBS
- **Location:** London, UK
- **Experience:** Starter
- **Contract:** Internship / Graduate position
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Automation of Tests, Continuous Integration, Data Cleansing, Distributed Computing Environment, Python (Programming Language), Machine Learning, NumPy, Open Source Technology, Tensorflow, Software Deployment, Pytorch, Autoscaling, Delivery Pipeline, Large Language Models, Prompt Engineering, Model Validation, Generative AI, Git, Pandas, Scikit Learn, Data Analytics, Machine Learning Operations, Virtual Agents, Software Version Control, Docker, Unsupervised Learning
- **Published:** September 18, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=9e3dc401b72a4133

## About the Role

* has no more than two years of full-time work experience
 * has or is on track for at least a 2.1 (UK grading system) or equivalent in their first undergraduate degree.
 * foundational skills in Python, Git, APIs and writing clean, testable code. Familiarity with libraries such as NumPy, pandas and scikit-learn is desirable. Being able to progress from notebooks to reusable Python packages, containerised applications and automated testing and deployment pipelines.
 * understanding of data preparation, supervised and unsupervised learning, model evaluation and basic statistics. Experience through coursework or projects using scikit-learn, PyTorch or TensorFlow.
 * understanding of data preparation, supervised and unsupervised learning, model evaluation and basic statistics. Experience through coursework or projects using scikit-learn, PyTorch or TensorFlow. Develop repeatable data and training pipelines, track experiments and learn distributed processing as data volumes grow.
 * basic knowledge of prompt engineering, embeddings, vector databases and retrieval-augmented generation (RAG). Experience building an application using an LLM API or open-source model is advantageous.
 * understanding of AI agents, tool calling, workflow orchestration and state management. Ability to build simple agents that interact with APIs or complete defined tasks, with appropriate human oversight.
 * awareness of cloud platforms, Docker, model deployment, monitoring, data privacy and responsible AI principles. Strong communication and collaborative problem-solving skills. Support production deployment with CI/CD, model versioning, autoscaling, drift monitoring and security and governance checks.
 * candidates should demonstrate foundational knowledge and practical learning through university projects, internships, hackathons or personal projects.

## Description

Are you passionate about new emerging technologies? Do you have an analytical mindset and enjoy to work in a data-driven team?
Are you looking for a unique opportunity to help drive UBS's accelerating digital transformation?
We're looking for top talents to join the Graduate Talent Program.
In this program you will be directly involved with businesses across the bank, getting hands on in day-to-day operations, working with professionals and gaining first-hand experience of our business.
As well as on-the-job learning, you'll get training on the financial markets, our products and other core business topics. Rotational assignment is a key part of the program. By taking on other roles in related departments, you'll gain a wider perspective.
In addition to all that, you'll attend networking events, cross-business classes and social occasions where you'll get to know us.
We're looking for someone to:

 * assist in the execution and delivery of projects within Solutions, focusing on Artificial Intelligence, Agentic AI, and Machine Learning
 * actively contribute to the implementation, documentation, and communication of innovative solutions that address clients' business challenges., * has fully completed their degree and met all graduation requirements by the program start date