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- Tasks: Build and evaluate real-world machine learning models in a collaborative team.
- Company: Dynamic tech company focused on innovative AI solutions.
- Benefits: Hybrid working, career growth opportunities, and mentorship from experienced engineers.
- Why this job: Join a supportive environment and make an impact in the AI field.
- Qualifications: Degree in a related field and some exposure to AI and machine learning.
- Other info: Perfect for those eager to learn and grow in their tech career.
The predicted salary is between 28800 - 48000 £ per year.
A technology company is looking for a Junior AI Engineer to join their collaborative team in London and Luton. This position offers the chance to work on real-world machine learning systems, build and evaluate models, and develop skills under the guidance of experienced engineers.
Ideal for those with a degree in a related field and some exposure to AI and machine learning, the role provides hybrid working and opportunities for career growth in a supportive environment.
Junior AI Engineer - Hybrid (London/Luton) | Real-World ML employer: Intellect Group
Contact Detail:
Intellect Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior AI Engineer - Hybrid (London/Luton) | Real-World ML
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at the company. You never know who might give you a heads-up about job openings or even refer you directly!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI and machine learning. This is your chance to demonstrate what you can do beyond your CV, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and practical tasks. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Junior AI Engineer - Hybrid (London/Luton) | Real-World ML
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant skills and experiences related to AI and machine learning. We want to see how your background fits with the Junior AI Engineer role, so don’t be shy about showcasing your projects or coursework!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this position and how you can contribute to our team. We love seeing genuine enthusiasm for real-world ML applications.
Showcase Your Projects: If you've worked on any AI or machine learning projects, make sure to mention them in your application. We’re keen to see what you’ve built or experimented with, as it gives us insight into your practical skills and creativity.
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 keep track of your application and ensures you’re considered for the Junior AI Engineer role!
How to prepare for a job interview at Intellect Group
✨Know Your AI Basics
Brush up on your fundamental knowledge of AI and machine learning concepts. Be prepared to discuss algorithms, model evaluation techniques, and any relevant projects you've worked on. This shows your passion and understanding of the field.
✨Showcase Your Projects
Bring examples of your work, whether it's a university project or personal endeavour. Discuss the challenges you faced, how you approached them, and the outcomes. This gives interviewers insight into your practical skills and problem-solving abilities.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's projects and team dynamics. This not only demonstrates your interest in the role but also helps you gauge if the company culture aligns with your values and career goals.
✨Practice Problem-Solving
Expect technical questions or coding challenges during the interview. Practice common machine learning problems and be ready to explain your thought process. This will help you stand out as a candidate who can think critically and adaptively.
