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- Tasks: Learn AI engineering fundamentals and work on real-world projects at your own pace.
- Company: Join ITOL Recruit, a leader in AI training with a focus on future-proof careers.
- Benefits: Gain Microsoft AI-900 certification, hands-on experience, and flexible online training.
- Why this job: Dive into the booming AI industry and secure a rewarding career with excellent job security.
- Qualifications: No prior experience needed; just bring your motivation and curiosity!
- Other info: Complete the course in five months and start your journey as a Junior AI Engineer.
The predicted salary is between 8000 - 12000 £ per month.
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. Complete a virtual oral exam to assess your understanding and ability to apply your learning.
- Step 14 – 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. Please note this is a training course and fees apply.
AI Programmer in London employer: ITOL Recruit
Contact Detail:
ITOL Recruit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Programmer in London
✨Tip Number 1
Network like a pro! Connect with fellow trainees and industry professionals on platforms like LinkedIn. Join AI-related groups and engage in discussions to get your name out there.
✨Tip Number 2
Show off your projects! When you complete your hands-on projects, share them online. Create a portfolio or a GitHub profile to showcase your skills and attract potential employers.
✨Tip Number 3
Practice makes perfect! Prepare for interviews by doing mock sessions with friends or mentors. Focus on explaining your projects and the technologies you've used – confidence is key!
✨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 let us help you kickstart your career in AI.
We think you need these skills to ace AI Programmer in London
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 Trainee AI Engineer. Highlight relevant skills, even if they're from different areas, and connect them to what we’re looking for. This shows us you’ve done your homework and are serious about joining our team.
Keep It Clear and Concise: We appreciate a straightforward application! Keep your writing clear and to the point. Avoid jargon unless it’s necessary, and make sure your passion and qualifications come across without fluff. We want to get to know you quickly!
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 – just follow the prompts and you’ll be on your way to starting your AI journey with us!
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.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s approach to AI and their projects. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you. Plus, it gives you a chance to engage with the interviewers on a deeper level.
✨Emphasise Your Learning Mindset
Since this role is aimed at trainees, make sure to convey your eagerness to learn and grow. Talk about how you’ve approached your training and any challenges you’ve overcome. Employers love candidates who are motivated and ready to adapt in the fast-paced world of AI.
