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- Tasks: Gain hands-on experience in AI software engineering while working on exciting projects.
- Company: Pioneering AI firm based in the UK with a focus on innovation.
- Benefits: Competitive pay, essential equipment, and hybrid work flexibility.
- Why this job: Join a dynamic team and kickstart your career in AI technology.
- Qualifications: Pursuing a Bachelor's or Master's degree with a passion for learning.
- Other info: 8-week internship with mentorship and real-world project experience.
The predicted salary is between 500 - 1500 £ per month.
A pioneering AI firm based in the United Kingdom offers an exciting 8-week internship in software engineering. You will gain hands-on experience by working alongside an engineering team in the Cambridge office, with up to 2 days of remote work per week.
Ideal candidates will be pursuing a Bachelor's or Master's degree and possess a strong desire to learn and complete projects enthusiastically.
The internship offers competitive graduate-level remuneration and provides essential equipment like a Macbook Pro.
AI Engineering Intern - Hybrid, Mentored (8 weeks) employer: Luminance Technologies Ltd
Contact Detail:
Luminance Technologies Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineering Intern - Hybrid, Mentored (8 weeks)
✨Tip Number 1
Network like a pro! Reach out to current or former interns at the company through LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. We recommend practising coding challenges and discussing AI concepts. Show them your passion for learning!
✨Tip Number 3
Don’t forget to showcase your projects! Whether it’s a personal project or coursework, having something tangible to discuss can really set us apart from other candidates.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace AI Engineering Intern - Hybrid, Mentored (8 weeks)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineering Intern role. Highlight relevant coursework, projects, and skills that align with what we’re looking for. A personalised CV shows us you’re genuinely interested!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and software engineering, and explain why you want to join our team. Keep it concise but engaging – we want to see your enthusiasm!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them in your application. Whether it's a university project or something personal, we love seeing what you've created and how you approach problem-solving.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, it shows you’re proactive – a quality we value highly!
How to prepare for a job interview at Luminance Technologies Ltd
✨Know Your AI Basics
Brush up on your fundamental AI concepts and software engineering principles. Be ready to discuss any relevant projects or coursework you've completed, as this shows your enthusiasm and readiness to learn.
✨Show Your Passion for Learning
Since this internship is all about gaining hands-on experience, express your eagerness to learn from the team. Share examples of how you've tackled challenges in the past and what you hope to gain from this opportunity.
✨Prepare Questions for Your Interviewers
Think of insightful questions to ask during the interview. This could be about the team's current projects, the technologies they use, or how they support interns in their learning journey. It shows you're genuinely interested in the role.
✨Familiarise Yourself with Remote Work Tools
Since the position allows for remote work, make sure you're comfortable with common collaboration tools like Slack, Zoom, or GitHub. Mentioning your familiarity with these tools can demonstrate your readiness for a hybrid work environment.