Junior AI Developer
Descrizione del posto
Texte original importé depuis 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.
Competenze chiave estratte
La nostra IA ha analizzato l'offerta per identificare le competenze richieste.
I nostri consigli per candidarsi
5 recommandations générées par notre IA pour maximiser vos chances.
⭐ Lead your CV with a Personal Statement naming Python, prompt engineering, and RAG — the advert lists these as core programme outcomes and ATS systems will scan for them.
📊 Quantify your training projects: e.g. 'Built a car price prediction Streamlit app achieving 87% model accuracy using Python and scikit-learn' to demonstrate tangible output.
🎯 Showcase your AWS Certified Cloud Practitioner badge prominently in a Certifications section — it is the only formal credential in this programme and differentiates you from other entry-level applicants.
🌐 Include a GitHub portfolio link featuring your sentiment analysis classifier (Hugging Face) and customer service chatbot (RAG + vector databases) to give hiring managers working code to review.
🤝 Reference the AI & Data Ethics module in your CV under relevant coursework — employers in regulated sectors such as healthcare and finance increasingly require awareness of bias, fairness, and data privacy.
Bullets CV suggérés
3 bullets générés par notre IA pour cette offre, alignés sur ses mots-clés ATS.
Ajoutez ces 3 bullets sous votre expérience la plus récente :
- •Developed a car price prediction web application using Python and Streamlit, applying regression modelling trained on a 10,000-row dataset to achieve sub-10% mean absolute error.
- •Built an AI-powered customer service chatbot combining prompt engineering and RAG techniques with a vector database knowledge base, reducing simulated query resolution time by 40% versus keyword search.
- •Completed AWS Certified Cloud Practitioner certification alongside 14 AI engineering modules, delivering 3 end-to-end projects in Python covering machine learning, sentiment analysis, and data visualisation with NumPy, Pandas, and Matplotlib.
Copier est gratuit — adapter nécessite un upload CV (30s).
Votre lettre de motivation est prête
Nous avons rédigé une lettre pour ITOL Recruit. Découvrez l'ouverture, puis débloquez la version complète personnalisée.
Aperçu — adapté à 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 focus on Python, prompt engineering, and Retrieval-Augmented Generation aligns directly with the skills employers are prioritising, and the AWS Certified Cloud Practitioner certification provides a credible, industry-recognised foundation to complement the hands-on project work.
My background in self-directed learning and problem solving has equipped me with the discipline required to complete an online programme at pace. I am confident I can progress through the 15 modules efficiently, building deployable projects — including a sentiment analysis classifier using Hugging Face and an RAG-powered customer service chatbot — that demonstrate real engineering capability to future employers.
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Domande probabili del colloquio
10 questions générées à partir de cette offre.
Tecniche
- ›Can you explain the difference between supervised and unsupervised machine learning, and give an example of each from your training projects?
- ›Walk me through how Retrieval-Augmented Generation works and how you applied it in your customer service chatbot project.
- ›What is the role of vector databases in an AI pipeline, and which tools did you use during your training?
- ›How does prompt engineering influence the output of a large language model? Give a concrete example of a prompt you crafted.
- ›Describe the data preprocessing steps you followed using NumPy and Pandas before training a machine learning model with scikit-learn.
Comportamentali
- ›Tell me about a time you had to learn a completely new technical skill independently — how did you structure your learning?
- ›Describe a situation where you identified an error or bias in data you were working with. What did you do?
- ›Give an example of a project where you had to meet a deadline without direct supervision. How did you manage your time?
- ›Tell me about a time you had to explain a technical concept to someone with no technical background. How did you approach it?
- ›Describe a situation where a project did not go as planned. What did you learn and how did you adapt?
Exemples de réponses STAR
Réponses modèles avec la méthode Situation-Tâche-Action-Résultat. À adapter à votre vécu.
Tell me about a time you had to learn a completely new technical skill independently — how did you structure your learning?
Describe a situation where a project did not go as planned. What did you learn and how did you adapt?