At a Glance
- Tasks: Support model development and experiment with new AI algorithms.
- Company: Dynamic recruitment agency in Manchester focused on AI and Data Science.
- Benefits: Gain hands-on experience and learn from industry experts.
- Why this job: Kickstart your career in AI and work on exciting real-world projects.
- Qualifications: Relevant degree and a strong passion for AI technologies.
- Other info: Join a collaborative team with great learning opportunities.
The predicted salary is between 28800 - 43200 £ per year.
A recruitment agency is looking for a Graduate AI Analyst / Engineer to join their AI & Data Science team in Manchester. This role is perfect for recent graduates passionate about AI, offering opportunities to work on real-world projects and learn from experts in the field.
Responsibilities include:
- Supporting model development
- Preparing datasets
- Experimenting with new algorithms
Ideal candidates should have a relevant degree and a strong desire to learn about AI technologies and tools.
Graduate AI Engineer — Build, Train & Deploy Models in Manchester employer: Kingsgate Recruitment Ltd
Contact Detail:
Kingsgate Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate AI Engineer — Build, Train & Deploy Models in Manchester
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI field on LinkedIn or attend local meetups. Building connections can lead to job opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing any projects you've worked on, whether it's coursework or personal projects. This gives potential employers a taste of what you can do with AI technologies.
✨Tip Number 3
Prepare for interviews by brushing up on common AI concepts and algorithms. Practise explaining your thought process clearly, as communication is key in this field. We want to see how you think!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Graduate AI Engineer — Build, Train & Deploy Models in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant degree and any projects or coursework related to AI. We want to see how your background aligns with the role, so don’t be shy about showcasing your skills!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and explain why you’re excited about this opportunity. We love seeing genuine enthusiasm, so let your personality come through.
Showcase Your Projects: If you've worked on any AI-related projects, whether in university or on your own, make sure to mention them. We’re keen to see your hands-on experience and how you’ve applied your knowledge in real-world scenarios.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Kingsgate Recruitment Ltd
✨Know Your AI Basics
Brush up on fundamental AI concepts and algorithms. Be ready to discuss your understanding of machine learning, neural networks, and data preparation techniques. This shows your passion for the field and that you're eager to learn more.
✨Showcase Your Projects
If you've worked on any relevant projects during your studies, be sure to highlight them. Discuss the challenges you faced, the solutions you implemented, and what you learned. This practical experience can set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's AI projects and the technologies they use. This demonstrates your genuine interest in the role and helps you understand how you can contribute to their team.
✨Emphasise Your Learning Mindset
Since this role is perfect for recent graduates, make it clear that you're eager to learn and grow. Share examples of how you've approached learning new skills or technologies in the past, and express your enthusiasm for developing your expertise in AI.