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- Tasks: Learn AI engineering fundamentals and work on real-world projects.
- Company: Join a leading AI training programme with a focus on career growth.
- Benefits: Flexible online training, certification included, and hands-on project experience.
- Other info: Complete the course in five months and become a Junior AI Engineer.
- Why this job: Kickstart your career in the booming AI industry with no prior experience needed.
- Qualifications: Motivation and curiosity about technology are key; no experience required.
The predicted salary is between 25000 - 35000 £ per year.
Trainee AI Engineer – No Experience Needed
Future-proof your career in Artificial Intelligence – starting today. 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.
Why AI?
AI is reshaping every industry you can think of. 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 – Hands-on Tools: 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 – Integrating Knowledge: 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 – Virtual 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.
100% online, self-paced training · Microsoft AI-900 certification included · Real-world project experience · Five months from complete beginner to AI engineer.
If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of.
(Junior) Technisch Ontwikkelaar in Leeds employer: ITOL Recruit
Contact Detail:
ITOL Recruit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land (Junior) Technisch Ontwikkelaar in Leeds
✨Tip Number 1
Network like a pro! Reach out to people in the AI field on LinkedIn or at local meetups. We can’t stress enough how important it is to make connections; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those from your training. We recommend using platforms like GitHub to share your code and demonstrate what you’ve learned.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI. We suggest doing mock interviews with friends or mentors to build your confidence and get feedback.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for you. The more applications you send out, the better your chances of landing that dream job as a Junior AI Engineer.
We think you need these skills to ace (Junior) Technisch Ontwikkelaar in Leeds
Some tips for your application 🫡
Show Your Passion for AI: Let us see your enthusiasm for artificial intelligence! In your application, mention any projects or experiences that sparked your interest in AI. We love candidates who are genuinely excited about the field.
Tailor Your Application: Make sure to customise your application to fit the role of a Junior AI Engineer. Highlight relevant skills and experiences that align with the job description. We appreciate when applicants take the time to connect their background to what we’re looking for.
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language and avoid jargon unless it’s relevant. We want to understand your qualifications without wading through unnecessary fluff!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at ITOL Recruit
✨Know Your AI Basics
Before the interview, brush up on the fundamentals of AI and machine learning. Be ready to discuss concepts like neural networks and data workflows, as these are likely to come up. Showing that you understand the basics will impress your interviewers.
✨Showcase Your Projects
If you've completed any projects during your training, be sure to highlight them. Discuss the tools you used, like Jupyter Notebooks or Python libraries, and explain your thought process. This demonstrates your practical skills and enthusiasm for the field.
✨Prepare for Technical Questions
Expect technical questions related to Python programming and AI applications. Practice coding problems or scenarios that might be relevant to the role. Being able to think on your feet and solve problems during the interview will set you apart.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s approach to AI ethics or how they implement machine learning in their projects. This shows your genuine interest in the role and the industry.