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- Tasks: Design and deliver innovative AI solutions that enhance user experience.
- Company: Leading data intelligence company based in London with a diverse team.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and work on impactful AI-driven projects.
- Qualifications: Over 5 years of AI/ML experience and strong Python skills.
- Other info: Collaborative environment with a focus on innovation.
The predicted salary is between 48000 - 72000 £ per year.
A leading data intelligence company in London seeks an experienced AI Engineer to design and deliver innovative AI solutions. You will collaborate with a diverse team, focusing on developing pragmatic AI systems that enhance user experience.
Candidates should have over 5 years of AI/ML experience, strong technical skills in Python, and familiarity with SQL and various databases. This hybrid role requires you to be based in the London office for at least two days a week, contributing to impactful AI-driven projects.
Senior AI Engineer - Production-Grade GenAI & ML (London) employer: Collibra
Contact Detail:
Collibra Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer - Production-Grade GenAI & ML (London)
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and ML space, especially those who work at companies you're interested in. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those that demonstrate your expertise in Python and SQL. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on common AI and ML questions. We recommend practising coding challenges and discussing your past projects. Being able to articulate your experience will set you apart from the competition.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior AI Engineer - Production-Grade GenAI & ML (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your AI/ML experience and technical skills in Python. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI solutions and how you can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any innovative AI systems or projects, make sure to mention them! We’re interested in practical examples that demonstrate your problem-solving skills and creativity in AI.
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’re considered for this exciting opportunity. Don’t miss out!
How to prepare for a job interview at Collibra
✨Know Your AI Stuff
Make sure you brush up on your AI and ML knowledge. Be ready to discuss your past projects in detail, especially those that involved Python and SQL. Highlight how your experience aligns with the innovative solutions the company is looking to develop.
✨Showcase Team Collaboration
Since this role involves working with a diverse team, be prepared to share examples of how you've successfully collaborated in the past. Talk about your communication style and how you handle feedback, as teamwork is key in delivering impactful AI-driven projects.
✨Ask Smart Questions
Prepare thoughtful questions about the company's current AI initiatives and future goals. This shows your genuine interest in their work and helps you understand how you can contribute to their projects effectively.
✨Be Ready for Technical Challenges
Expect some technical questions or challenges during the interview. Practice coding problems in Python and brush up on your database knowledge. Being able to demonstrate your problem-solving skills on the spot will impress the interviewers.
