Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and deploy machine learning systems to support investment decisions.
- Company: Dynamic investment management firm in London with a startup vibe.
- Benefits: Rapid growth opportunities, collaborative team, and hands-on experience.
- Why this job: Join a cutting-edge team and shape the future of investment with AI.
- Qualifications: PhD or Bachelor’s/Master’s graduates with 1-2 years of relevant experience.
- Other info: Exciting environment with potential for career advancement.
The predicted salary is between 30000 - 40000 £ per year.
An investment management firm is seeking an early-career AI Engineer in London to design and deploy machine learning systems that support investment decision-making.
Ideal candidates will be PhD graduates in a STEM field or Bachelor’s/Master’s graduates with 1-2 years of relevant experience.
Responsibilities include:
- Building ML systems
- Integrating applications
- Using data analysis tools
The role offers opportunities for rapid growth and development in a startup-like team environment.
Early-Career AI Engineer — Production ML & Automation in London employer: Cerberus Capital Management
Contact Detail:
Cerberus Capital Management Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Early-Career AI Engineer — Production ML & Automation in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and investment management sectors on LinkedIn. A friendly message can go a long way, and you never know who might have a lead on your dream job.
✨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 impress potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with ML systems and data analysis tools. Practising common interview questions can help you feel more confident.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Early-Career AI Engineer — Production ML & Automation in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning and data analysis. We want to see how your skills align with the role, so don’t be shy about showcasing your projects or any hands-on work you've done!
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 you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Projects: If you've worked on any cool ML projects, make sure to mention them! Whether it's a university project or something personal, we want to know what you've built and how it relates to investment decision-making.
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 this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Cerberus Capital Management
✨Know Your ML Basics
Make sure you brush up on your machine learning fundamentals. Be ready to discuss algorithms, model evaluation, and deployment strategies. The firm will likely want to see how well you understand the core concepts that underpin the systems you'll be working on.
✨Showcase Your Projects
Prepare to talk about any relevant projects you've worked on, especially those involving ML systems or data analysis tools. Highlight your role, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Understand the Investment Landscape
Familiarise yourself with the basics of investment management and how AI can enhance decision-making in this field. Being able to connect your technical skills to the firm's goals will show that you're not just a techie but also understand the business context.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, growth opportunities, and the specific ML systems they use. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.