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 self-directed learning or online courses at the top of your CV under a 'Professional Development' section, as this traineeship is entirely self-paced and employers will want to see evidence of initiative.
📊 Quantify your project outcomes: e.g. 'Built a car price prediction app in Streamlit achieving 87% model accuracy using Python and Pandas across a 10,000-row dataset'.
🎯 Feature your AWS Certified Cloud Practitioner certification prominently in a dedicated 'Certifications' section — this is a named, verifiable credential that ATS systems will scan for.
🌐 List each portfolio project (sentiment analysis classifier, RAG chatbot, ML project) as a separate entry with a GitHub link, as hiring managers for AI roles expect tangible code artefacts.
🤝 Reference AI ethics knowledge explicitly in your personal statement, as the advert dedicates a full module to bias, fairness and data privacy — a differentiator few junior candidates mention.
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:
- •Built a Python and Streamlit car price prediction application, applying OOP principles and Pandas data preprocessing across a structured 10,000-row dataset as part of a 15-module AI engineering curriculum.
- •Developed a Hugging Face sentiment analysis classifier using real-world NLP techniques, achieving end-to-end model deployment within a 3-month self-paced training programme.
- •Designed and deployed a RAG-powered customer service chatbot integrating vector databases and prompt engineering, reducing simulated query resolution time by 40% compared to a baseline keyword-matching approach.
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 is precisely the structured pathway I have been seeking to transition into AI engineering. The programme's breadth — from Python and scikit-learn through to Retrieval-Augmented Generation and the AWS Certified Cloud Practitioner qualification — aligns directly with the skills employers are actively recruiting for across healthcare, finance, and retail sectors.
My background in self-directed learning and project delivery means I am well placed to complete the 15-module curriculum at pace. I am particularly drawn to the hands-on project work, including the sentiment analysis classifier built with Hugging Face and the RAG-powered customer service chatbot, as these represent the kind of tangible portfolio artefacts that demonstrate real-world capability to hiring managers.
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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) differ from a standard large language model response, and when would you choose to use it?
- ›Walk me through how you would preprocess 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 customer service chatbot?
- ›Explain what a vector database is and how it is used in an AI application you have built or studied.
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 manage your time across multiple self-directed tasks without a manager setting deadlines.
- ›Give an example of a project where something did not go to plan. How did you identify the problem and what did you do to resolve it?
- ›Tell me about a time you had to explain a technical concept to someone without a technical background.
- ›Describe a situation where you identified an ethical concern in a process or decision. How did you raise it and what was the outcome?
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 situation where you had to manage your time across multiple self-directed tasks without a manager setting deadlines.