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- Tasks: Develop and deploy scalable AI applications to enhance productivity for major clients.
- Company: Leading enterprise AI company based in Greater London with a focus on innovation.
- Benefits: Competitive compensation, medical insurance, and generous PTO.
- Why this job: Join a dynamic team and create intelligent solutions that make a real impact.
- Qualifications: Over 3 years of experience in AI/ML and proficiency in Python.
- Other info: Hybrid role offering excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
A leading enterprise AI company in Greater London is seeking an AI engineer to develop and deploy scalable AI applications. You will work collaboratively to create intelligent solutions that enhance productivity for major clients.
The ideal candidate has over 3 years of experience in AI/ML, is proficient in Python, and possesses a strong understanding of machine learning principles.
This hybrid role offers excellent benefits including competitive compensation, medical insurance, and generous PTO.
Enterprise AI Engineer: Scale LLM Agents in London employer: writer.com
Contact Detail:
writer.com Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Enterprise AI Engineer: Scale LLM Agents in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML community, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving scalable applications. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and machine learning principles. Practice common interview questions and even consider mock interviews with friends or mentors to build confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Enterprise AI Engineer: Scale LLM Agents in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI/ML and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how you can contribute to our mission at StudySmarter. Keep it engaging and personal.
Showcase Your Projects: If you've worked on any cool AI applications or projects, make sure to mention them! We love seeing practical examples of your work that demonstrate your understanding of machine learning principles.
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 writer.com
✨Know Your AI Stuff
Make sure you brush up on your AI and machine learning principles before the interview. Be ready to discuss your past projects and how you've applied your skills in Python to develop scalable AI applications. This will show them you're not just a theory person but someone who can get things done.
✨Showcase Collaboration Skills
Since this role involves working collaboratively, think of examples where you've successfully worked in a team. Be prepared to share how you contributed to group projects and how you handled any challenges. This will demonstrate that you can enhance productivity for clients through teamwork.
✨Prepare Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's AI initiatives and their approach to developing intelligent solutions. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
✨Practice Problem-Solving
Expect some technical questions or problem-solving scenarios during the interview. Practise coding challenges or case studies related to AI/ML beforehand. This will help you feel more confident and showcase your analytical skills effectively.
