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- Tasks: Train and deploy ML solutions to enhance customer experiences.
- Company: Leading telecommunications company in Manchester with a focus on innovation.
- Benefits: Competitive salary of £23,810 and hands-on training.
- Why this job: Kickstart your tech career while making a real impact in AI and machine learning.
- Qualifications: Enthusiasm for data-driven decision making and a passion for continuous learning.
- Other info: Structured pathway to a full-time career in tech.
The predicted salary is between 1785 - 2015 £ per month.
A leading telecommunications company in Manchester is offering an AI Expert Degree Apprenticeship to train and deploy ML solutions that benefit customers. You will collaborate across teams, enhance customer experiences, and build essential skills in AI and machine learning.
The role offers a competitive salary of £23,810 and hands-on training with a structured pathway to a full-time career in tech. Ideal candidates are enthusiastic about data-driven decision making and continuous learning.
AI Engineer Apprentice: Degree in ML (Manchester) employer: BT Group
Contact Detail:
BT Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer Apprentice: Degree in ML (Manchester)
✨Tip Number 1
Network like a pro! Reach out to current employees at the company or connect with fellow apprentices on LinkedIn. A friendly chat can give us insights into the company culture and might even lead to a referral!
✨Tip Number 2
Prepare for those interviews! Brush up on your machine learning concepts and be ready to discuss how you can enhance customer experiences. We want to show them that you're not just passionate about AI, but also about making a real impact.
✨Tip Number 3
Show off your projects! If you've worked on any ML solutions or relevant projects, make sure to highlight them during your discussions. We want to demonstrate our hands-on experience and enthusiasm for continuous learning.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can keep track of your progress and provide tips along the way to help you land that apprenticeship.
We think you need these skills to ace AI Engineer Apprentice: Degree in ML (Manchester)
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and machine learning shine through. We want to see how excited you are about the field and how you plan to contribute to enhancing customer experiences.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this specific role. Highlight any relevant experience or projects that showcase your skills in ML and data-driven decision making. We love seeing how you connect your background to what we do!
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured responses that get straight to the heart of your qualifications and motivations. Avoid fluff and focus on what makes you a great fit for the apprenticeship.
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 shows you’re serious about joining our team!
How to prepare for a job interview at BT Group
✨Know Your ML Basics
Brush up on your machine learning fundamentals before the interview. Be ready to discuss key concepts, algorithms, and their applications. This will show your enthusiasm for the field and your commitment to continuous learning.
✨Showcase Your Projects
Prepare to talk about any relevant projects or experiences you've had with AI or ML. Whether it's a university project or a personal endeavour, sharing specific examples will demonstrate your hands-on experience and problem-solving skills.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's approach to AI and how they measure success in their projects. This not only shows your interest but also helps you gauge if the company is the right fit for you.
✨Emphasise Team Collaboration
Since the role involves collaborating across teams, be ready to discuss your teamwork experiences. Highlight how you've worked with others to achieve common goals, as this will align with the company's focus on enhancing customer experiences.
