Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop innovative ML solutions and optimise AI functionalities for enterprise clients.
- Company: Leading AI solutions provider in the UK with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with impactful projects and career advancement opportunities.
- Why this job: Join a team shaping the future of AI applications with cutting-edge technology.
- Qualifications: Strong engineering background, cloud tech experience, and Python proficiency.
The predicted salary is between 36000 - 60000 £ per year.
A leading AI solutions provider in the UK seeks an Applied AI Engineer to develop innovative ML solutions for enterprise clients. You will own and optimize AI functionalities, translating business needs into technical solutions, and collaborating across teams.
Ideal candidates have a strong engineering background, experience with cloud technologies, and proficiency in Python. This role promises to work on cutting-edge projects that significantly impact the future of AI applications.
Enterprise AI Engineer: Build Cutting-Edge AI Agents in City of Westminster employer: Scale AI
Contact Detail:
Scale AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Enterprise AI Engineer: Build Cutting-Edge AI Agents in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to people in the AI field on LinkedIn or at industry events. 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 best projects, especially those involving ML solutions or cloud technologies. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to Python and AI. Practice explaining your thought process clearly, as communication is key when translating business needs into technical solutions.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some amazing opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Enterprise AI Engineer: Build Cutting-Edge AI Agents in City of Westminster
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your engineering background and any experience you have with cloud technologies and Python. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention how your past experiences can help us develop innovative ML solutions for our enterprise clients. It shows you’re genuinely interested!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s relevant. Let’s get to the good stuff quickly!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at Scale AI
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI and machine learning. Be ready to discuss your previous projects and how they relate to the role. This shows you're not just familiar with the tech, but that you're genuinely passionate about it.
✨Showcase Your Engineering Skills
Prepare to talk about your engineering background in detail. Highlight specific examples where you've optimised AI functionalities or translated business needs into technical solutions. This will demonstrate your ability to bridge the gap between tech and business.
✨Cloud Technologies Are Key
Since cloud technologies are crucial for this role, make sure you can discuss your experience with them. Whether it's AWS, Azure, or Google Cloud, be ready to explain how you've used these platforms in your past work.
✨Collaboration is Crucial
This role involves working across teams, so be prepared to share examples of how you've successfully collaborated in the past. Talk about any cross-functional projects you've been part of and how you contributed to their success.