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⚡ Source: ReedRef: 56811102

Junior AI Developer

ITOL Recruit·Tower Hamlets, London·Posted 1 week ago
💰 30-45k GBP/year🌱 Junior
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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.


SpeedCV AI

Key skills

AI-extracted from the job advert

Must-have skills
Willingness to learnSelf-directed learningOnline training completion
Nice-to-have
Basic programming knowledgeData analysis experienceCustomer service background
Soft skills
Self-motivationAdaptabilityProblem solvingCommunicationTime management
SpeedCV AI

Application advice

5 AI-generated recommendations to maximise your chances.

1

⭐ Highlight any Python experience at the top of your CV as the advert emphasises Python programming throughout the training programme

2

📊 Quantify any data analysis projects: 'Analysed 10,000 customer records using Excel, identifying 3 key trends'

3

🌐 Mention any online learning platforms you've used to show self-directed learning ability

4

🎯 Include any customer service experience as the programme builds towards AI customer service chatbots

5

🤝 Emphasise your motivation for career change and willingness to learn new technologies

NEW
AI SpeedCV

Suggested CV bullets

3 bullets our AI drafted for this specific advert, mirroring its ATS keywords.

How to tailor your CV

Add these 3 bullets under your most recent experience:

  • Completed 200+ hours of online technical training across 5 programming languages, achieving 95% pass rate on all assessments
  • Built customer service workflow system handling 500+ daily enquiries, reducing response time by 40% through process optimisation
  • Led cross-functional project involving 8 stakeholders, delivering solution 2 weeks ahead of deadline despite technical challenges

Free to copy — tailoring requires a 30-sec CV upload.

NEW
AI cover letter

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 opportunity I've been seeking. With the programme's comprehensive coverage of Python programming and machine learning fundamentals, I'm confident this structured approach will provide the solid foundation needed to excel in AI engineering.

My background in self-directed learning and problem-solving has prepared me well for the intensive online training format. I'm particularly drawn to the hands-on projects, from building sentiment analysis classifiers to developing AI-powered customer service chatbots, which will provide practical experience alongside theoretical knowledge.

Get my personalised letter — free

Free signup, no card needed. Export to PDF/Word requires a £1.99 trial (14 days).

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SpeedCV AI

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 ethical considerations should be taken into account 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 solve a complex problem with limited resources
  • Give me an example of when you had to adapt to significant change in your work or studies
  • Tell me about a time when you had to work independently on a challenging project
  • Describe a situation where you had to explain something technical to someone without technical knowledge
SpeedCV AINEW

STAR answer examples

Model answers using the Situation-Task-Action-Result framework. Adapt to your own experience.

1Question

Tell me about a time when you had to learn a completely new skill quickly

When my previous company implemented a new CRM system with just 3 weeks notice, I volunteered to become the team expert. I dedicated 2 hours each evening to online tutorials and practiced with sample data during lunch breaks. I created a 12-page user guide and trained 15 colleagues, resulting in 98% adoption rate within the first month. This experience taught me that structured self-learning combined with practical application leads to rapid skill acquisition.
2Question

Describe a situation where you had to work independently on a challenging project

I was tasked with analysing 18 months of customer feedback data to identify service improvement opportunities. Working alone, I categorised 2,400 responses using Excel pivot tables and created a presentation highlighting 5 key themes. My analysis revealed that 67% of complaints related to response times, leading to a new 24-hour response policy. The project took 6 weeks and resulted in a 23% improvement in customer satisfaction scores over the following quarter.

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