—
Job Description Junior AI Developer – No Experience NeededFuture-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 Developer role in 1-3 months.Please note this is a training course and fees applyJob guaranteed - complete the programme and get a job or get your money back.Our candidates earn £30,000-£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 WorksStep 1 – AI Engineering FundamentalsStart with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering.Step 2 – Data FundamentalsUnderstand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications.Step 3 – Notebooks & IDEsGet hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems.Step 4 – Python ProgrammingMaster Python, covering everything from the basics to object-oriented programming (OOP).Step 5 – Python Streamlit ProjectApply your Python skills by building a car price prediction app using Python and Streamlit.Step 6 – Python for DataLearn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation.Step 7 – AI Sentiment Analysis ProjectWork with Hugging Face to build a sentiment analysis classifier using real-world AI techniques.Step 8 – AI Prompt EngineeringMaster 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 ProjectCombine 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 FundamentalsUnderstand machine learning principles and algorithms, and how to train and test models using scikit-learn.Step 12 – Machine Learning ProjectPut your machine learning knowledge into practice with a hands-on project.Step 13 – AI & Data EthicsStudy the ethical considerations in AI, including issues of bias, fairness, and data privacy.Step 14 – Oral ExamComplete a virtual oral exam to assess your understanding and ability to apply your learning.Step 15 – AWS Certified Cloud PractitionerFinish 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 £30,000–£45,000We 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 LondonReady 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
| Skill | Source | Confidence |
|---|---|---|
| Vector Databases | llm_hard |
100%
|
| Pandas | llm_hard |
100%
|
| NumPy | llm_hard |
100%
|
| Matplotlib | llm_hard |
100%
|
| RAG (Retrieval-Augmented Generation) | llm_hard |
100%
|
| Python | llm_hard |
100%
|
| Data Cleaning | llm_hard |
100%
|
| Jupyter Notebooks | llm_hard |
100%
|
| Neural Networks | llm_hard |
100%
|
| Large Language Models (LLMs) | llm_hard |
100%
|
| Scikit-learn | llm_hard |
100%
|
| NLP | llm_hard |
100%
|
| Sentiment Analysis | llm_hard |
100%
|
| Prompt Engineering | llm_hard |
100%
|
| Data Wrangling | llm_hard |
80%
|
| AWS (SageMaker, EC2, S3) | llm_hard |
80%
|
| Skill | Source | Confidence |
|---|---|---|
| Skill Development | llm_soft |
100%
|
| Curiosity | llm_soft |
100%
|
| Continuous Learning | llm_soft |
100%
|
| Seeking Knowledge | llm_soft |
100%
|
| Learning Agility | llm_soft |
100%
|
| Analytical Thinking | llm_soft |
80%
|
| Problem-Solving | llm_soft |
80%
|
| Self-Motivation | llm_soft |
80%
|
| Query | Country | Status | Response ms | Created |
|---|---|---|---|---|
| Junior AI Developer Placement Programme | extracted | 9014 | 2026-03-22 02:52 | |
| Junior AI Developer Placement Programme | classified | 454 | 2026-03-21 21:08 | |
| junior AI engineer in London | gb | processed | 14347 | 2026-03-21 17:04 |
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