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 experience at the top of your CV as the course heavily focuses on Python programming from basics to advanced applications
📊 Emphasise your ability to learn independently since this is an online, self-paced training programme
🌐 Include any data analysis or technical projects you've worked on, even if basic, as the role involves building practical AI applications
🎯 Mention familiarity with cloud platforms or AWS if you have any exposure, as the programme culminates in AWS certification
🤝 Showcase examples of completing online courses or certifications to demonstrate your commitment to self-directed learning
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 40-hour online certification in data analysis, demonstrating self-directed learning capabilities essential for the AI traineeship programme
- •Built personal project using Python basics and data visualisation, showing technical aptitude for the programme's Python and machine learning modules
- •Successfully transitioned between industries twice in 5 years, proving adaptability required for the career change into AI engineering
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 represents exactly the career transition opportunity I've been seeking, combining comprehensive Python programming training with practical machine learning applications and AWS certification.
My background in self-directed learning and technical problem-solving aligns well with the programme's online, self-paced structure. I am particularly drawn to the hands-on projects including the Streamlit car price prediction app and the AI-powered customer service chatbot 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 and its applications?
- ›How would you approach building a sentiment analysis classifier?
Behavioural
- ›Tell me about a time when you had to learn a completely new skill from scratch
- ›Describe a situation where you had to work independently on a challenging project
- ›How do you stay motivated when learning complex technical concepts?
- ›Give an example of when you had to adapt to significant change in your career
- ›Tell me about a time when you persevered through a difficult learning experience
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 from scratch
How do you stay motivated when learning complex technical concepts?