At a Glance
- 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.
- Other info: Complete the programme in 10-14 weeks and build your portfolio.
- Why this job: Launch your career in AI with no prior experience needed!
- Qualifications: No previous AI experience required; just a passion for technology.
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 Brighton employer: ITonlinelearning Recruitment
As an AI / ML Specialist, you will join a forward-thinking company that prioritises employee development and innovation. With a strong emphasis on hands-on learning and real-world applications, our supportive work culture fosters collaboration and growth, ensuring you have the resources and guidance needed to excel in your career. Located in a vibrant tech hub, we offer unique networking opportunities and access to industry leaders, making it an ideal environment for aspiring AI professionals.
Contact Detail:
ITonlinelearning Recruitment Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land AI / ML Specialist in Brighton
✨Tip Number 1
Network like a pro! Connect with fellow AI enthusiasts and professionals on platforms like LinkedIn. Join relevant groups, attend webinars, and don’t be shy to reach out for informational chats – you never know where a conversation might lead!
✨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. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Practice makes perfect! Prepare for interviews by doing mock sessions with friends or mentors. Focus on common AI/ML questions and be ready to discuss your projects in detail. The more comfortable you are, the better you'll perform when it counts.
✨Tip Number 4
Apply through our website! We’ve got a range of entry-level AI Engineer roles waiting for you. Tailor your applications to highlight your training and skills, and don’t forget to follow up after applying – it shows your enthusiasm and commitment!
We think you need these skills to ace AI / ML Specialist in Brighton
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
Before heading into the interview, 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.
✨Showcase Your Projects
Bring along a portfolio of your hands-on projects. Be prepared to explain your thought process, the challenges you faced, and how you solved them. This will demonstrate your practical skills and problem-solving abilities.
✨Prepare for Technical Questions
Expect some technical questions related to Python programming and data handling. Practice coding problems or algorithms that are commonly asked in interviews. This will help you feel more confident when tackling these questions.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions about the company’s AI projects or their approach to machine learning. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
