Junior AI Developer
Job description
Original text imported from Reed
Trainee AI Engineer – No Experience Needed
Future-proof your career in Artificial Intelligence – starting today.
Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required.
Train online at your own pace and land your first AI Engineer role in 1-3 months.
Please note this is a training course and fees apply
Job guaranteed - complete the programme and get a job or get your money back.
Our candidates earn £28,000-£45,000.
Why AI?
AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals.
The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security.
How It Works
Step 1 – AI Engineering Fundamentals
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.
Step 15 – AWS Certified Cloud Practitioner
Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge.
What You Get
· 100% online, self-paced training
· Microsoft AI-900 certification included
· 1-to-1 tutor and recruitment support
· Real-world project experience
· Job guarantee – get a job or your money back
· Starting salary of £28,000–£45,000
We Get You Hired
We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles.
Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you.
We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back.
"Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London
Ready to Start?
If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of.
Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.
Key skills
AI-extracted from the job advert
Application advice
5 AI-generated recommendations to maximise your chances.
⭐ Highlight any Python experience at the top of your CV as the course focuses heavily on Python programming throughout multiple modules
📊 Quantify any data-related projects: "Analysed 10,000 customer records using Excel, improving reporting efficiency by 25%"
🌐 Emphasise online learning capabilities and self-directed study skills as this is a self-paced training programme
🎯 Mention any experience with cloud platforms or interest in AWS as the course concludes with AWS certification
🤝 Show examples of project-based work as the curriculum includes multiple hands-on AI projects
Suggested CV bullets
3 bullets our AI drafted for this specific advert, mirroring its ATS keywords.
Add these 3 bullets under your most recent experience:
- •Completed 15-module AI engineering programme covering Python, machine learning, and neural networks within 3 months
- •Built sentiment analysis classifier using Hugging Face transformers, achieving 92% accuracy on customer review dataset
- •Developed customer service chatbot using RAG techniques and vector databases, reducing response time by 40%
Free to copy — tailoring requires a 30-sec CV upload.
Your cover letter is ready
We've drafted a cover letter for ITOL Recruit. Preview the opening, then unlock the full personalised version.
Letter preview — tailored to ITOL Recruit
Dear Hiring Manager,
ITOL Recruit's AI traineeship represents exactly the career transformation I'm seeking, combining comprehensive Python programming with cutting-edge machine learning techniques. The structured 15-module approach from neural networks through to AWS certification aligns perfectly with my goal to enter the rapidly growing AI sector.
My background in self-directed learning and project completion will serve me well in this intensive programme. I'm particularly drawn to the hands-on elements, including the Streamlit car price prediction app and the specialised customer service chatbot project using RAG techniques.
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Interview questions
10 questions generated from this advert.
Technical
- ›What is the difference between supervised and unsupervised machine learning?
- ›How would you explain neural networks to a non-technical person?
- ›What Python libraries would you use for data manipulation and why?
- ›Can you describe what Retrieval-Augmented Generation (RAG) is used for?
- ›What are some ethical considerations when developing AI systems?
Behavioural
- ›Tell me about a time when you had to learn a completely new skill quickly
- ›Describe a situation where you had to work independently on a project
- ›How do you stay motivated when learning challenging technical concepts?
- ›Give an example of when you had to adapt to significant changes in your work or studies
- ›Tell me about a time when you had to explain a complex concept to someone
STAR answer examples
Model answers using the Situation-Task-Action-Result framework. Adapt to your own experience.
Tell me about a time when you had to learn a completely new skill quickly
Describe a situation where you had to work independently on a project