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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 make a real impact in a dynamic team.
- Qualifications: Expertise in Python, machine learning frameworks, and API integrations.
- Other info: Join a vibrant team with a focus on innovation and collaboration.
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 City of 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 City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the investment management sector or AI communities. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, machine learning models, or any cool AI stuff you've worked on. This is your chance to shine beyond the CV!
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of API integrations and software engineering practices. We want you to feel confident discussing how you can contribute to production-ready AI capabilities.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace AI Engineer - Production-Ready AI & LLMs in City of 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, 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 excited about the AI Engineer position and how you can contribute to our squad-based models. Let us know what makes you tick in the world of AI.
Showcase Your Collaboration Skills: Since this role involves working in a dynamic team environment, highlight any past experiences where you collaborated effectively. We love seeing examples of teamwork and how you’ve contributed to successful projects!
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’s super easy – just a few clicks and you’re done!
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 this will show your practical experience and understanding.
✨Showcase Your Collaboration Skills
Since the role involves working in squad-based models, be prepared to talk about your experience in team settings. Share examples of how you've collaborated with others to deliver AI solutions, highlighting your communication and teamwork abilities.
✨Understand AI Observability Practices
Familiarise yourself with AI observability practices and be ready to discuss their importance in production-ready AI. This shows that you not only know how to build AI systems but also how to monitor and improve them post-deployment.
✨Prepare for API Integration Questions
Given the emphasis on API integrations, think of scenarios where you've successfully integrated APIs into your projects. Be ready to explain the challenges you faced and how you overcame them, demonstrating your problem-solving skills.
