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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 with no prior experience needed and secure your future.
- Qualifications: Motivation and curiosity about technology; no experience required.
- Other info: Complete the course in five months and start your career as a Junior AI Engineer.
The predicted salary is between 20000 - 30000 £ per year.
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. Please note this is a training course and fees apply.
AI Scientist in London employer: ITOL Recruit
Contact Detail:
ITOL Recruit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Scientist in London
✨Tip Number 1
Network like a pro! Connect with industry professionals on LinkedIn, attend AI meetups, and join relevant online forums. The more people you know in the field, 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. Having tangible examples of your work can really impress potential employers and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by practising common AI-related questions. We recommend doing mock interviews with friends or using online platforms to get comfortable talking about your skills and experiences.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for you. Tailor your applications to highlight your training and projects, and don’t forget to follow up after applying to show your enthusiasm!
We think you need these skills to ace AI Scientist 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 interests related to AI to make your application stand out.
Tailor Your Application: Make sure to customise your application for the AI Scientist role. Highlight relevant skills and experiences, even if they’re from different fields. We love seeing how your unique background can contribute to our team!
Keep It Clear and Concise: We appreciate a well-structured application. Keep your writing clear and to the point, avoiding jargon unless necessary. This helps us quickly understand your qualifications and motivations without getting lost in lengthy explanations.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way to ensure we receive all your details correctly. Plus, it shows you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at ITOL Recruit
✨Know Your AI Basics
Before heading into the interview, make sure you brush up on the fundamentals of AI. Understand key concepts like neural networks and large language models, as well as the tools you'll be using, such as Jupyter Notebooks and Python. This will show your enthusiasm and readiness to dive into the role.
✨Showcase Your Projects
Be prepared to discuss any projects you've worked on during your training, especially those involving Python and machine learning. Highlight your car price prediction app or sentiment analysis classifier. This not only demonstrates your skills but also your ability to apply what you've learned in real-world scenarios.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare some thoughtful questions about the company's approach to AI, their projects, or how they handle data ethics. This shows that you're genuinely interested in the role and eager to contribute to their mission.
✨Emphasise Your Learning Mindset
Since this is a trainee position, it's crucial to convey your motivation and eagerness to learn. Share examples of how you've overcome challenges during your training and express your excitement about growing within the company. Employers love candidates who are adaptable and ready to take on new challenges!
