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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, industry certifications, and a pathway to high-demand jobs.
- Other info: 100% online training with excellent career prospects in AI.
- Why this job: Step into the future of tech with no prior experience needed!
- Qualifications: Motivation and curiosity about technology are all you need.
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. 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. 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 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 / ML Specialist in Stoke-on-Trent employer: ITOL Recruit
Contact Detail:
ITOL Recruit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI / ML Specialist in Stoke-on-Trent
✨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/ML questions and scenarios. Mock interviews with friends or mentors can help you feel more confident and ready to tackle any tricky questions that come your way.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace AI / ML Specialist in Stoke-on-Trent
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 Engineer. Highlight relevant skills, even if they're from different areas, and connect them to the tasks mentioned in the job description. This shows us you understand what we're looking for!
Keep It Clear and Concise: We appreciate a straightforward application! Keep your language clear and avoid jargon unless it's relevant. A well-structured application makes it easier for us to see your potential and how you fit into our team.
Apply Through Our Website: Don't forget to submit your application through our website! This ensures we receive all the necessary information and helps us process your application smoothly. Plus, it’s the best way to stay updated on your application status!
How to prepare for a job interview at ITOL Recruit
✨Know Your AI Basics
Before 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 tools you used, like Jupyter Notebooks or Python libraries, and explain your thought process. This demonstrates your practical skills and ability to apply what you've learned.
✨Prepare for Technical Questions
Expect technical questions related to machine learning principles and algorithms. Review key topics and practice explaining them clearly. Being able to articulate your knowledge will show that you're not just familiar with the theory but can also apply it in real-world scenarios.
✨Understand AI Ethics
Familiarise yourself with ethical considerations in AI, such as bias and data privacy. Be prepared to discuss how these issues impact AI development. This shows that you’re not only technically skilled but also aware of the broader implications of your work.