Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and implement innovative machine learning models to solve real-world problems.
- Company: Fast-growing AI startup in London with a focus on cutting-edge technology.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a significant impact on product development.
- Qualifications: Strong background in machine learning and proficiency in Python.
- Other info: Exciting environment with endless possibilities for career advancement.
The predicted salary is between 36000 - 60000 £ per year.
A fast-growing AI startup in London is seeking an AI Engineer to develop cutting-edge artificial intelligence solutions. You will design and implement machine learning models that drive innovation and solve complex real-world problems.
The ideal candidate should have a strong background in machine learning and proficiency in Python, along with experience in relevant AI frameworks. This role is perfect for someone looking to significantly impact product development in a dynamic environment.
AI Engineer — Build Next-Gen ML at a Fast-Growing Startup in London employer: Jack & Jill/External Ats
Contact Detail:
Jack & Jill/External Ats Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer — Build Next-Gen ML at a Fast-Growing Startup in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI field on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on common AI and machine learning interview questions. Practising your answers will help you feel more confident and ready to impress potential employers.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of exciting opportunities waiting for you. Plus, applying directly can sometimes give you a better chance of getting noticed by recruiters.
We think you need these skills to ace AI Engineer — Build Next-Gen ML at a Fast-Growing Startup in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with machine learning and Python in your application. We want to see how your skills align with the role, so don’t hold back on showcasing your projects or any relevant frameworks you've worked with!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. We love seeing candidates who take the time to connect their experiences to what we’re looking for in an AI Engineer. It shows us you’re genuinely interested!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read. Avoid jargon unless it’s necessary, and make sure your passion for AI shines through!
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 the role. Plus, it gives you a chance to explore more about us and what we do!
How to prepare for a job interview at Jack & Jill/External Ats
✨Know Your ML Models
Make sure you brush up on the latest machine learning models and techniques. Be ready to discuss how you've implemented these in past projects, as well as any challenges you faced and how you overcame them.
✨Show Off Your Python Skills
Since proficiency in Python is key for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges beforehand to boost your confidence.
✨Familiarise Yourself with AI Frameworks
Get comfortable with popular AI frameworks like TensorFlow or PyTorch. Be prepared to explain why you prefer one over the other and how you've used them in your previous work to drive innovation.
✨Prepare for Real-World Problem Solving
Think about complex problems you've solved using AI and be ready to share those experiences. This will show your potential employer that you can apply your skills to real-world scenarios and contribute to product development.
