Graduate AI Engineer — Hybrid Role with Mentorship in Cambridge
Graduate AI Engineer — Hybrid Role with Mentorship

Graduate AI Engineer — Hybrid Role with Mentorship in Cambridge

Cambridge Full-Time 30000 - 50000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and implement AI models while collaborating with diverse teams on exciting projects.
  • Company: Leading tech company in Cambridge with a focus on innovation.
  • Benefits: Competitive salary, mentorship, and rapid career progression opportunities.
  • Why this job: Join a dynamic team and make a real impact in the AI field.
  • Qualifications: Degree in a relevant subject and strong programming skills in Python.
  • Other info: Hybrid role with a supportive environment for growth.

The predicted salary is between 30000 - 50000 £ per year.

A leading tech company in Cambridge is seeking a Graduate AI Engineer to join their engineering team. This full-time role involves designing and implementing AI models, collaborating with cross-functional teams, and contributing to real-world AI projects.

The ideal candidate holds a degree in a relevant subject, possesses strong programming skills in Python, and has a solid understanding of machine learning fundamentals.

The position offers a competitive salary, mentorship, and opportunities for rapid career progression.

Graduate AI Engineer — Hybrid Role with Mentorship in Cambridge employer: Jobster

Join a leading tech company in Cambridge, where innovation meets opportunity. As a Graduate AI Engineer, you'll benefit from a supportive work culture that prioritises mentorship and professional growth, allowing you to thrive in your career while working on impactful AI projects. With a competitive salary and a collaborative environment, this role is perfect for those looking to make a meaningful contribution in the tech industry.
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Contact Detail:

Jobster Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Graduate AI Engineer — Hybrid Role with Mentorship in Cambridge

Tip Number 1

Network like a pro! Reach out to current employees on LinkedIn or attend tech meetups in Cambridge. Building connections can give us the inside scoop on the company culture and even lead to referrals.

Tip Number 2

Show off your skills! Create a portfolio showcasing your AI projects or any relevant work you've done. This is a great way to demonstrate your programming prowess in Python and your understanding of machine learning fundamentals.

Tip Number 3

Prepare for those interviews! Brush up on common AI and machine learning questions, and be ready to discuss your thought process when designing models. We want to see how you think, so practice articulating your ideas clearly.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to engage directly with us.

We think you need these skills to ace Graduate AI Engineer — Hybrid Role with Mentorship in Cambridge

AI Model Design
Implementation of AI Models
Collaboration with Cross-Functional Teams
Programming Skills in Python
Machine Learning Fundamentals
Real-World AI Project Contribution
Degree in Relevant Subject
Mentorship Engagement

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your programming skills in Python and any relevant projects you've worked on. We want to see how your experience aligns with the role of a Graduate AI Engineer, so don’t hold back!

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 your degree and skills make you a perfect fit for our team. Let us know what excites you about this opportunity!

Showcase Your Projects: If you've worked on any AI or machine learning projects, be sure to mention them in your application. We love seeing real-world applications of your skills, so include links or descriptions that demonstrate your expertise.

Apply Through Our Website: To make sure your application gets to us directly, apply through our website. It’s the easiest way for us to review your application and get you one step closer to joining our awesome team!

How to prepare for a job interview at Jobster

Know Your AI Fundamentals

Make sure you brush up on your machine learning fundamentals before the interview. Be prepared to discuss key concepts and algorithms, as well as how they apply to real-world scenarios. This will show that you not only understand the theory but can also think critically about its application.

Show Off Your Python Skills

Since strong programming skills in Python are a must, be ready to demonstrate your coding abilities. You might be asked to solve a problem or explain your thought process while coding. Practising common coding challenges can help you feel more confident during this part of the interview.

Collaborate Like a Pro

This role involves working with cross-functional teams, so be prepared to discuss your experience in collaboration. Think of examples where you successfully worked with others to achieve a goal, and be ready to explain how you handle differing opinions and feedback.

Ask Insightful Questions

At the end of the interview, don’t forget to ask questions! Inquire about the mentorship opportunities and the types of projects you might work on. This shows your enthusiasm for the role and helps you gauge if the company is the right fit for you.

Graduate AI Engineer — Hybrid Role with Mentorship in Cambridge
Jobster
Location: Cambridge

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  • Graduate AI Engineer — Hybrid Role with Mentorship in Cambridge

    Cambridge
    Full-Time
    30000 - 50000 £ / year (est.)
  • J

    Jobster

    50-100
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