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- Tasks: Tackle real-world AI and machine learning challenges with a supportive team.
- Company: Dynamic tech recruitment agency in Cambridge with a focus on innovation.
- Benefits: Competitive salary, mentorship, and flexible hybrid work arrangements.
- Why this job: Join a cutting-edge team and grow your skills in AI engineering.
- Qualifications: Relevant degree and strong programming skills in Python.
- Other info: Great opportunities for career progression in a collaborative environment.
The predicted salary is between 28800 - 48000 £ per year.
A tech-oriented recruitment agency in Cambridge is seeking a recent Graduate AI Engineer to join their innovative team. This role offers the opportunity to work on real-world AI and machine learning challenges while collaborating with experienced engineers.
The ideal candidate will have a relevant degree and strong programming skills in Python. The position also provides competitive salary, mentorship, and opportunities for career progression. The work environment is hybrid, promoting flexible arrangements.
Graduate AI Engineer - Cambridge (Hybrid) Mentorship employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate AI Engineer - Cambridge (Hybrid) Mentorship
✨Tip Number 1
Network like a pro! Reach out to your university alumni or attend local tech meetups in Cambridge. You never know who might have a lead on that perfect Graduate AI Engineer role.
✨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your Python projects and any AI-related work. This gives potential employers a taste of what you can do before they even meet you.
✨Tip Number 3
Prepare for those interviews! Brush up on common AI and machine learning concepts, and practice coding challenges. We all know how important it is to impress during that face-to-face (or virtual) chat.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, 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 Graduate AI Engineer - Cambridge (Hybrid) Mentorship
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant degree and programming skills in Python. We want to see how your background fits with the AI challenges we tackle, so don’t be shy about showcasing your projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about the Graduate AI Engineer role and how you can contribute to our innovative team. Keep it personal and engaging!
Showcase Your Passion for AI: In your application, let us know what excites you about AI and machine learning. Share any relevant experiences or projects that demonstrate your enthusiasm and commitment to the field.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Jobster
✨Know Your AI Basics
Brush up on your understanding of AI and machine learning concepts. Be ready to discuss key algorithms, frameworks, and your experience with Python. This shows you’re not just a graduate but someone who’s genuinely passionate about the field.
✨Showcase Your Projects
Prepare to talk about any relevant projects you've worked on during your studies or internships. Highlight your role, the challenges you faced, and how you overcame them. This gives the interviewers insight into your practical skills and problem-solving abilities.
✨Ask Insightful Questions
Come prepared with questions about the team, the projects they’re working on, and the mentorship opportunities available. This demonstrates your interest in the role and helps you gauge if the company is the right fit for you.
✨Embrace the Hybrid Environment
Since the role is hybrid, be ready to discuss how you manage your time and productivity in both remote and in-office settings. Share any experiences you have with remote collaboration tools and how you stay connected with your team.
