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- Tasks: Develop innovative AI models and algorithms using your maths skills.
- Company: Leading mobile industry organisation in Greater London.
- Benefits: Competitive pay, flexible working, and professional development opportunities.
- Other info: Hybrid work environment encouraging diverse experiences.
- Why this job: Join a dynamic team and make an impact in the AI field.
- Qualifications: Master's or doctorate in mathematics with basic programming skills.
The predicted salary is between 50000 - 65000 £ per year.
A leading mobile industry organization in Greater London is seeking a candidate with a strong academic background in mathematics and basic programming skills to develop novel models and algorithms. You will use AI tools for applied research and validation of results within a hybrid working environment.
Ideal candidates should have a Master's or doctorate degree and are encouraged to bring diverse experiences. Competitive compensation and numerous benefits offered, including flexible working options and professional development days.
Applied AI Engineer (Mathematics & Semantics) | Hybrid London employer: GSMA LLC
Contact Detail:
GSMA LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AI Engineer (Mathematics & Semantics) | Hybrid London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and mathematics fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your passion.
✨Tip Number 2
Prepare for those interviews! Brush up on your programming skills and be ready to discuss your academic projects. We recommend practising common AI-related interview questions to boost your confidence.
✨Tip Number 3
Showcase your unique experiences! Whether it’s a project, internship, or even a personal endeavour, highlight how your diverse background can contribute to the role. We love seeing candidates who think outside the box!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, you’ll find all the latest opportunities tailored to your skills and interests right there.
We think you need these skills to ace Applied AI Engineer (Mathematics & Semantics) | Hybrid London
Some tips for your application 🫡
Show Off Your Academic Background: Make sure to highlight your strong academic background in mathematics. We want to see your qualifications, so don’t be shy about showcasing your Master’s or doctorate degree!
Demonstrate Your Programming Skills: Even if you’re not a coding wizard, let us know about your basic programming skills. Share any relevant projects or experiences that show how you’ve applied these skills in real-world scenarios.
Be Creative with Your Experience: We love diverse experiences! Don’t hesitate to include any unique projects or roles that might set you apart. Show us how your background can bring fresh perspectives to our team.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and get to know you better!
How to prepare for a job interview at GSMA LLC
✨Brush Up on Your Maths
Make sure you’re comfortable discussing advanced mathematical concepts. Review key topics that are relevant to AI and be ready to explain how you've applied them in past projects or studies.
✨Showcase Your Programming Skills
Even if programming isn’t your main focus, having a basic understanding is crucial. Be prepared to discuss any programming languages you know and how you’ve used them in your work with algorithms or models.
✨Familiarise Yourself with AI Tools
Research the AI tools commonly used in the industry. If you have experience with specific tools, be ready to share examples of how you’ve used them for applied research and validation of results.
✨Emphasise Your Unique Experiences
Diversity in experiences can set you apart. Think about how your background, whether academic or personal, has shaped your approach to problem-solving in AI and be ready to discuss this during the interview.