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# Junior AI Developer

- **Company:** ITonlinelearning
- **Location:** Wolverhampton, UK
- **Experience:** Starter
- **Salary:** £28,000.0 - £45,000.0
- **Contract:** Temporary to permanent
- **Skills:** Artificial Intelligence, Artificial Neural Networks, Python (Programming Language), Machine Learning, NumPy, Object-Oriented Software Development, Sentiment Analysis, Jupyter Notebook, Data Processing, Chatbots, Large Language Models, Prompt Engineering, Generative AI, Pandas, Matplotlib, HuggingFace, Streamlit Framework, Data Pipelines, Natural Language Generation
- **Published:** July 9, 2026
- **Apply:** https://www.reed.co.uk/jobs/junior-ai-developer/57100554

## About the Role

If you're motivated, curious, and excited about technology, we'll help you turn that into a career you can be proud of.

## Description

Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering.

Step 2 - Data Fundamentals

Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications.

Step 3 - Notebooks & IDEs

Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems.

Step 4 - Python Programming

Master Python, covering everything from the basics to object-oriented programming (OOP).

Step 5 - Python Streamlit Project

Apply your Python skills by building a car price prediction app using Python and Streamlit.

Step 6 - Python for Data

Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation.

Step 7 - AI Sentiment Analysis Project

Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques.

Step 8 - AI Prompt Engineering

Master prompt engineering, learning how to craft effective prompts for controlling AI outputs.

Step 9 - Retrieval-Augmented Generation (RAG)

Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases.

Step 10 - AI Specialised Customer Service Chatbot Project

Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases.

Step 11 - Machine Learning Fundamentals

Understand machine learning principles and algorithms, and how to train and test models using scikit-learn.

Step 12 - Machine Learning Project

Put your machine learning knowledge into practice with a hands-on project.

Step 13 - AI & Data Ethics

Study the ethical considerations in AI, including issues of bias, fairness, and data privacy.

Step 14 - Oral Exam

Complete a virtual oral exam to assess your understanding and ability to apply your learning., "Five months from complete beginner to AI engineer. Best decision I ever made." - Jamie W., now working as a Junior AI Engineer in London


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