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- Tasks: Deliver advanced AI solutions and mentor junior developers in a dynamic environment.
- Company: Leading tech company in the UK focused on innovation and growth.
- Benefits: Competitive salary, career advancement, and opportunities to work with cutting-edge technologies.
- Why this job: Join a fast-paced team and make a real impact in the AI field.
- Qualifications: Strong Python skills and experience with cloud platforms like Azure and AWS.
- Other info: Exciting opportunities for professional development in a collaborative culture.
The predicted salary is between 48000 - 72000 £ per year.
A tech company in the United Kingdom is seeking a Lead AI Engineer to deliver advanced AI solutions using state-of-the-art machine learning technologies. This role involves deploying modern AI/ML solutions, driving adoption of AI frameworks, and mentoring junior developers.
The ideal candidate will have:
- Strong Python skills
- Experience with cloud platforms (Azure & AWS)
- Expertise in data engineering for AI applications
The position offers opportunities for growth in a fast-paced, innovative environment.
Senior AI Engineer — Production ML & Cloud Native in Nottingham employer: hackajob
Contact Detail:
hackajob Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer — Production ML & Cloud Native in Nottingham
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Senior AI Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects. We recommend including any cloud-native solutions you've built. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python skills and be ready to discuss your experience with Azure and AWS. We suggest practising common technical questions and even doing mock interviews to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior AI Engineer — Production ML & Cloud Native in Nottingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, cloud platforms like Azure and AWS, and any data engineering skills. We want to see how your background aligns with the role of Senior AI Engineer!
Showcase Your Projects: Include specific examples of AI/ML solutions you've deployed or worked on. We love seeing real-world applications of your skills, so don’t hold back on sharing your achievements!
Be Clear and Concise: When writing your cover letter, keep it straightforward. We appreciate clarity, so get to the point about why you’re a great fit for the role and how you can contribute to our team.
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 hackajob
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and be ready to discuss your experience with cloud platforms like Azure and AWS. Prepare to explain how you've deployed AI/ML solutions in the past, as this will show your practical knowledge and expertise.
✨Showcase Your Mentoring Skills
Since the role involves mentoring junior developers, think of examples where you've guided others. Be ready to share specific instances where your mentorship made a difference, as this will highlight your leadership qualities.
✨Understand the Company’s AI Vision
Research the company’s current AI initiatives and be prepared to discuss how you can contribute to their goals. Showing that you understand their vision and can align your skills with their needs will set you apart from other candidates.
✨Prepare for Technical Challenges
Expect to face technical questions or challenges during the interview. Practice coding problems related to machine learning and data engineering, as this will help you demonstrate your problem-solving abilities and technical prowess.
