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- Tasks: Develop production-ready AI capabilities and collaborate in dynamic squad-based models.
- Company: Leading investment management firm in the heart of London.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Shape the future of AI products and work with cutting-edge technologies.
- Qualifications: Expertise in Python, machine learning frameworks, and API integrations.
- Other info: Join a dynamic team and make a real impact in the AI space.
The predicted salary is between 36000 - 60000 £ per year.
A leading investment management firm in City of London is seeking an AI Engineer to develop production-ready AI capabilities. The role involves collaborating in squad-based models and requires expertise in Python, machine learning frameworks, and AI observability practices.
Ideal candidates will have experience in API integrations and a strong foundation in software engineering practices. This position allows for significant input in shaping AI product delivery within a dynamic team environment.
AI Engineer - Production-Ready AI & LLMs in London employer: Pantheon
Contact Detail:
Pantheon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer - Production-Ready AI & LLMs in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at investment firms. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving Python and machine learning frameworks. This is your chance to demonstrate your expertise and creativity to potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding AI observability practices. Practise common interview questions and scenarios related to API integrations to impress your interviewers.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace AI Engineer - Production-Ready AI & LLMs in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, machine learning frameworks, and API integrations. We want to see how your skills align with the role of AI Engineer, so don’t be shy about showcasing relevant projects!
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 your background makes you a perfect fit for our dynamic team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Collaboration Skills: Since this role involves working in squad-based models, highlight any past experiences where you’ve successfully collaborated with others. We value teamwork, so let us know how you contribute to a positive team environment!
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 shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Pantheon
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and any machine learning frameworks you've worked with. Be ready to discuss specific projects where you've implemented these technologies, as the interviewers will want to see how you can apply your knowledge in real-world scenarios.
✨Showcase Your Collaboration Skills
Since this role involves working in squad-based models, be prepared to talk about your experience collaborating with others. Share examples of how you've contributed to team projects, especially in dynamic environments, and highlight your ability to communicate effectively with both technical and non-technical team members.
✨Demonstrate Your API Knowledge
Familiarise yourself with API integrations, as this is a key part of the job. Be ready to explain how you've used APIs in past projects, including any challenges you faced and how you overcame them. This will show that you have practical experience and can hit the ground running.
✨Understand AI Observability Practices
Research AI observability practices and be prepared to discuss their importance in production-ready AI systems. You might be asked how you would implement these practices in your work, so having a solid understanding will help you stand out as a candidate who is not only technically skilled but also aware of best practices in the field.