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For Companies At a Glance
- Tasks: Build and deploy AI-driven features for real-world products.
- Company: Leading tech company in the UK with a focus on innovation.
- Benefits: Up to £120k salary, equity options, and hybrid working model.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: Strong Python skills and experience with ML/AI frameworks.
- Other info: Work 2 days a week in Liverpool Street for a balanced lifestyle.
The predicted salary is between 72000 - 84000 £ per year.
A leading tech company in the United Kingdom seeks a Mid-Senior Level Engineer to build and deploy AI-driven features that are utilized in real-world products. The ideal candidate will have strong experience in Python and modern ML/AI frameworks, along with a history of shipping AI models into real products.
This full-time position offers up to £120k base salary with equity options and a hybrid working model of 2 days per week in Liverpool Street.
AI Engineer: Production ML, Hybrid (Equity Included) in England employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer: Production ML, Hybrid (Equity Included) in England
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community, especially those who work at companies you're interested in. A friendly chat can open doors and give you insider info on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects and models. This is your chance to demonstrate what you can do with Python and ML frameworks, making you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and real-world problem-solving scenarios. Practice coding challenges and be ready to discuss how you've shipped AI models into products.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, it shows you're serious about joining our team!
We think you need these skills to ace AI Engineer: Production ML, Hybrid (Equity Included) in England
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and ML/AI frameworks in your application. We want to see how you've shipped AI models into real products, so don’t hold back on the details!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. We love seeing candidates who take the time to align their experiences with what we’re looking for in an AI Engineer.
Be Authentic: Let your personality shine through in your written application. We’re not just looking for skills; we want to know who you are and how you can contribute to our team culture at StudySmarter.
Apply Through Our Website: For the best chance of getting noticed, make sure to apply directly through our website. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Oliver Bernard
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and the latest ML/AI frameworks. Be ready to discuss specific projects where you've successfully deployed AI models into real products. This shows you not only understand the theory but can also apply it practically.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in previous roles, especially those related to AI and machine learning. Use the STAR method (Situation, Task, Action, Result) to structure your answers, demonstrating how you tackled issues and what the outcomes were.
✨Understand the Company’s Products
Research the tech company and its products thoroughly. Knowing how they utilise AI-driven features will help you tailor your responses and show genuine interest. You might even suggest ideas for improvements or new features during the interview!
✨Be Ready for Technical Questions
Expect some technical questions or coding challenges during the interview. Practice common algorithms and data structures, and be prepared to explain your thought process clearly. This will demonstrate your analytical skills and ability to communicate complex ideas effectively.
