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⚡ Source: ReedRef: 56895179

Trainee AI Programmer

ITOL Recruit·Wigan, North West·Posted 2 weeks ago
💰 £30-45k/year
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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
Self-directed learningBasic computer literacyCommitment to training programme
Nice-to-have
Basic programming knowledgeData analysis experienceSTEM background
Soft skills
Self-motivationProblem solvingAdaptabilityCommunicationAnalytical thinking
SpeedCV AI

Application advice

5 AI-generated recommendations to maximise your chances.

1

🤖 Emphasise any self-directed learning or online courses you've completed, as this role values independent study

2

🐍 Highlight any Python experience, even basic scripting or automation, as it's central to the curriculum

3

📊 Mention data analysis experience from any field - Excel, SQL, or statistical work translates well

4

🎯 Include any AI/ML projects or experimentation, even personal ones using ChatGPT or similar tools

5

💼 Show career change motivation clearly - explain why you're transitioning to AI engineering

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 15-module AI engineering curriculum covering Python, machine learning, and AWS, building 4 practical projects including sentiment analysis classifier
  • Developed customer service chatbot using RAG techniques and vector databases, integrating external knowledge sources for intelligent responses
  • Mastered data workflow from collection to visualisation using NumPy, Pandas, and Matplotlib, processing datasets for machine learning applications

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 I'm seeking, particularly the comprehensive Python and machine learning curriculum that builds from fundamentals to advanced RAG implementations. Your structured approach from neural networks through to AWS certification aligns perfectly with my goal to transition into AI engineering.

My background in self-directed learning and analytical problem-solving has prepared me for the rigorous 15-module programme, and I'm particularly drawn to the hands-on projects including sentiment analysis and chatbot development that will provide real-world application of the concepts.

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 are some ethical considerations when developing AI systems?

Behavioural

  • Why are you interested in transitioning to AI engineering?
  • How do you handle learning new technical concepts independently?
  • Describe a time when you had to adapt to significant change in your career
  • How would you manage studying while potentially working full-time?
  • What motivates you to complete long-term training programmes?
SpeedCV AINEW

STAR answer examples

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

1Question

Why are you interested in transitioning to AI engineering?

I recognised AI's transformative impact across industries when my previous retail company implemented automated inventory management, reducing stock errors by 85%. This sparked my curiosity about the underlying technology. I spent 6 months researching AI applications in healthcare, finance, and manufacturing, realising this field offers both intellectual challenge and genuine societal impact. The combination of problem-solving, continuous learning, and the opportunity to work on cutting-edge solutions that improve people's lives makes AI engineering the perfect career pivot for me.
2Question

How do you handle learning new technical concepts independently?

When learning SQL for a data analysis project, I broke down the complex topic into daily 90-minute study sessions over 8 weeks. I used multiple resources - online tutorials, practice databases, and coding challenges - to reinforce each concept. I created a personal project analysing 2,400 customer records, which helped cement my understanding through practical application. By week 6, I was writing complex queries joining 5 tables. This structured, hands-on approach with real-world application is exactly how I plan to tackle the AI curriculum.

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