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- Tasks: Learn AI and machine learning skills through hands-on projects and real-world problem-solving.
- Company: Join a supportive programme designed to kickstart your AI career.
- Benefits: Flexible online training, expert support, and career guidance included.
- Why this job: Launch your career in AI with no prior experience needed!
- Qualifications: No previous AI knowledge required; just a passion for technology.
- Other info: Complete the programme in 10-14 weeks and build your portfolio.
The predicted salary is between 28800 - 48000 £ per year.
Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment.
Complete this 10-14 week online programme with approximately 10-15 hours of study per week. You will learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance.
Entry-level AI Engineer roles across multiple industries. No prior AI experience required.
AI / ML Specialist in Manchester employer: ITonlinelearning Recruitment
Contact Detail:
ITonlinelearning Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI / ML Specialist in Manchester
✨Tip Number 1
Network like a pro! Connect with fellow AI enthusiasts and professionals on platforms like LinkedIn. Join relevant groups, participate in discussions, and don’t be shy to reach out for informational interviews.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects from the programme. Highlight your hands-on experience with Python and machine learning to impress 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 problem-solving techniques you used during your training.
✨Tip Number 4
Apply through our website! We’ve got loads of entry-level AI Engineer roles listed. Tailor your applications to each job, emphasising the skills you gained from our programme to stand out.
We think you need these skills to ace AI / ML Specialist in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the AI/ML role. Highlight any relevant projects or coursework, even if they’re from your training programme with us!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how our programme has prepared you for this role. Be genuine and let your enthusiasm show!
Showcase Your Projects: If you've completed hands-on projects during your training, don’t forget to mention them! Include links or descriptions of your work to demonstrate your practical skills and problem-solving abilities.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to see your application and get you started on your journey to becoming an AI Engineer!
How to prepare for a job interview at ITonlinelearning Recruitment
✨Know Your AI Basics
Make sure you brush up on the fundamentals of AI and machine learning. Understand key concepts like supervised vs unsupervised learning, and be ready to discuss how you've applied these in your projects or studies.
✨Showcase Your Projects
Prepare to talk about the hands-on projects you've completed during your training. Highlight specific challenges you faced and how you solved them, as this demonstrates your practical skills and problem-solving abilities.
✨Familiarise Yourself with Python
Since Python is a crucial part of AI development, be ready to discuss your experience with it. You might even be asked to solve a coding problem, so practice writing clean, efficient code beforehand.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's AI projects or their approach to machine learning. This shows your genuine interest and helps you assess if the company is the right fit for you.
