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- Tasks: Train online to become an AI Engineer with hands-on projects and real-world experience.
- Company: Join ITOL Recruit, a leader in AI training and career development.
- Benefits: Flexible learning, Microsoft certification, and a pathway to a secure job in AI.
- Other info: 100% online training with excellent career prospects in a fast-growing field.
- Why this job: Dive into the booming AI industry and shape the future with innovative technology.
- Qualifications: No experience needed; just bring your curiosity and motivation!
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 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.
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.
AI Scientist in Glasgow employer: ITOL Recruit
Contact Detail:
ITOL Recruit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Scientist in Glasgow
✨Tip Number 1
Network like a pro! Connect with industry professionals on LinkedIn and attend AI meetups or webinars. The more people you know, the better your chances of landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those from your training. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Practice makes perfect! Prepare for interviews by doing mock sessions with friends or mentors. Get comfortable with common AI-related questions and be ready to discuss your projects in detail.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for you. Don’t hesitate to send in your application and take the first step towards your AI career!
We think you need these skills to ace AI Scientist in Glasgow
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI shine through! We want to see that you're genuinely excited about the field and eager to learn. Share any personal projects or experiences that sparked your interest in AI.
Tailor Your Application: Make sure to customise your application to fit the role of an AI Scientist. Highlight relevant skills and experiences, even if they’re from different fields. We love seeing how diverse backgrounds can bring fresh perspectives to AI!
Keep It Clear and Concise: We appreciate a well-structured application. Keep your writing clear and to the point, avoiding jargon unless necessary. A tidy application makes it easier for us to see your potential and understand your journey.
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 heading into the interview, brush up on your understanding of AI fundamentals. Be ready to discuss concepts like neural networks and large language models, as these are likely to come up. Showing that you have a solid grasp of 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 car price prediction app or the sentiment analysis classifier you built. This not only demonstrates your practical skills but also your ability to apply what you've learned in real-world scenarios.
✨Prepare for Technical Questions
Expect some technical questions related to Python programming and machine learning principles. Review key libraries like NumPy and Pandas, and be prepared to explain how you would approach a problem using these tools. Practising coding challenges can also help you feel more confident.
✨Understand AI Ethics
AI ethics is a hot topic, so make sure you're familiar with issues like bias and data privacy. Be ready to discuss how you would address these concerns in your work. This shows that you’re not just technically skilled but also aware of the broader implications of AI technology.