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- Tasks: Develop AI-powered IP tools and create innovative features using Python and AWS.
- Company: Global leader in information and analytics based in the UK.
- Benefits: Generous leave, health initiatives, and extensive development resources.
- Why this job: Join a forward-thinking team and shape the future of AI applications.
- Qualifications: Strong skills in Python, AWS, and experience in AI/ML technologies.
- Other info: Enjoy a healthy work-life balance in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
A global information and analytics provider in the United Kingdom is seeking a driven professional to develop AI-powered IP tools. Candidates should have strong skills in Python and AWS, along with experience in AI/ML technologies.
You will be responsible for:
- Researching AI applications
- Building reusable frameworks
- Delivering innovative features
The organization promotes a healthy work-life balance and offers extensive benefits, including generous leave, health initiatives, and development resources.
AI Engineer — GenAI & Analytics for IP Tools employer: RELX
Contact Detail:
RELX Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer — GenAI & Analytics for IP Tools
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and analytics space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects or any AI/ML applications you've worked on. This gives us a tangible way to see what you can do.
✨Tip Number 3
Prepare for those interviews! Brush up on common AI/ML questions and be ready to discuss your experience with AWS. We love seeing candidates who can articulate their thought process.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate individuals like you!
We think you need these skills to ace AI Engineer — GenAI & Analytics for IP Tools
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python and AWS expertise in your application. We want to see how your experience with AI/ML technologies can contribute to developing our innovative IP tools.
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the specific requirements of the AI Engineer role. We love seeing candidates who take the time to align their skills with what we’re looking for.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to read and get straight to the heart of your experience and achievements.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best 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 RELX
✨Know Your Tech Inside Out
Make sure you brush up on your Python and AWS skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any AI/ML applications you've worked on. This will show that you're not just familiar with the tools, but that you can apply them effectively.
✨Research the Company’s AI Vision
Take some time to understand the company’s approach to AI and how they integrate it into their IP tools. Knowing their current projects or innovations can help you tailor your answers and demonstrate your genuine interest in their work.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities, especially in AI contexts. Practice explaining your thought process clearly and concisely, as this will showcase your analytical skills and ability to think on your feet.
✨Showcase Your Collaborative Spirit
Since the organisation values a healthy work-life balance and teamwork, be prepared to discuss how you’ve successfully collaborated with others in past roles. Share examples of how you’ve contributed to team projects and supported your colleagues, highlighting your interpersonal skills.
