Trainee AI Engineer
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 or data-related projects at the top of your CV — the programme's 15-step curriculum centres on Python, so even personal or academic projects using NumPy, Pandas or Streamlit will strengthen your application.
📊 Quantify your learning outcomes: 'Built a sentiment analysis classifier using Hugging Face, achieving 92% accuracy on a 10,000-record dataset' — concrete project metrics matter more than course names.
🎯 Feature your AWS Certified Cloud Practitioner badge prominently in a Certifications section, as this is the final milestone of the programme and a named requirement in the advert.
🌐 Include a GitHub portfolio link showcasing your car price prediction app and customer service chatbot projects — employers hiring from this programme expect to see deployable code.
🤝 Reference AI ethics awareness in your Personal Statement, as the advert dedicates an entire module (Step 13) to bias, fairness and data privacy — showing this knowledge differentiates you from purely technical candidates.
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:
- •Developed a Python Streamlit car price prediction application end-to-end, applying OOP principles and NumPy/Pandas data pipelines to process a 50,000-row dataset with 94% model accuracy.
- •Built a Retrieval-Augmented Generation customer service chatbot using Hugging Face and a vector database knowledge base, reducing simulated query resolution time by 40% versus a baseline LLM prompt.
- •Completed AWS Certified Cloud Practitioner certification alongside a 15-module AI engineering curriculum, delivering 3 deployable projects within a 3-month self-paced programme.
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 Trainee AI Engineer programme stands out precisely because it combines hands-on Python development, Retrieval-Augmented Generation, and AWS Cloud Practitioner certification within a single structured pathway — the kind of broad, deployable skill set that employers across healthcare, finance and retail are actively seeking. The job guarantee underpins the programme's credibility, and it is exactly the structured route into AI engineering I have been looking for.
My background in self-directed learning and project delivery means I am well placed to work through the 15-module curriculum at pace. I am comfortable working independently with tools such as Jupyter Notebooks and VS Code, and I am eager to build the three portfolio projects — the Streamlit price predictor, the Hugging Face sentiment classifier, and the RAG-powered customer service chatbot — that demonstrate real-world AI capability to prospective employers.
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Interview questions
10 questions generated from this advert.
Technical
- ›Can you explain the difference between supervised and unsupervised machine learning, and give an example of each?
- ›How does Retrieval-Augmented Generation (RAG) work, and why would you use it over a standard large language model prompt?
- ›Walk me through how you would clean and prepare a raw dataset using Pandas before feeding it into a scikit-learn model.
- ›What is prompt engineering, and how would you craft a prompt to reduce hallucinations in an LLM-powered chatbot?
- ›What does the AWS Certified Cloud Practitioner certification cover, and how would cloud infrastructure support an AI application in production?
Behavioural
- ›Tell me about a time you taught yourself a new technical skill independently — how did you structure your learning?
- ›Describe a situation where you had to meet a tight deadline on a project. How did you prioritise your tasks?
- ›Give an example of a time you identified an error or problem in your own work. What did you do to resolve it?
- ›Tell me about a time you had to adapt quickly to a significant change in your work or study environment.
- ›Describe a project you completed from start to finish on your own. What was the outcome and what would you do differently?
STAR answer examples
Model answers using the Situation-Task-Action-Result framework. Adapt to your own experience.
Tell me about a time you taught yourself a new technical skill independently — how did you structure your learning?
Describe a project you completed from start to finish on your own. What was the outcome and what would you do differently?