At a Glance
- Tasks: Conduct cutting-edge AI research and build innovative products in investment banking.
- Company: Join BigCloud, a leading global financial services company with a vibrant AI team.
- Benefits: Attractive salary packages, career acceleration, and opportunities for global publication.
- Other info: Engage with the research community and contribute to international conferences.
- Why this job: Make an impact in AI while collaborating with top researchers and industry leaders.
- Qualifications: Degree in Computer Science, strong Python skills, and deep learning experience required.
The predicted salary is between 60000 - 80000 £ per year.
About the Role
BigCloud is seeking an excellent Machine Learning Engineer to join a global financial services company with a large AI team in London. This role involves conducting cutting-edge research and building AI-focused products in investment banking. The successful candidate will have a track record of production-level coding and experience in building complex AI projects/companies, particularly with deep learning.
Responsibilities
- Conduct cutting-edge research in AI and Machine Learning.
- Build and deploy AI-focused products in investment banking.
- Contribute to and potentially publish work at international conferences.
- Be heavily involved in the research community.
Requirements
- Computer Science degree (or similar field).
- Strong proficiency with Python.
- Experience in deep learning.
- Track record of production-level coding.
- Experience in building complex AI projects/companies.
- Published work at international conferences (ACL, NIPS, ICML, etc.) is a plus.
What We Offer
- Very strong packages.
- The chance to accelerate your career.
- Opportunity to work on exciting research.
- Freedom and involvement in the research community.
- Opportunity to publish your work globally.
Machine Learning Engineer in London employer: Big Cloud
At BigCloud, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within our large AI team in London. Our employees benefit from competitive packages, ample opportunities for career advancement, and the freedom to engage deeply with the research community, making it an ideal environment for those passionate about pushing the boundaries of AI in investment banking.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI and Machine Learning community, especially those who work at BigCloud or similar companies. Attend meetups, webinars, and conferences to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving deep learning. Share your work on platforms like GitHub and make sure to highlight any published research to catch the eye of recruiters.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills, particularly in Python. Practice common machine learning problems and be ready to discuss your past projects in detail, focusing on your contributions and the impact they had.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Tailor your application to highlight your experience in building complex AI projects and your passion for research in the field.
We think you need these skills to ace Machine Learning Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in machine learning and deep learning. We want to see your production-level coding skills and any complex AI projects you've worked on, so don’t hold back!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you're passionate about AI and how your background fits with our mission at BigCloud. We love seeing enthusiasm and a clear connection to the role.
Showcase Your Research:If you’ve published work at international conferences, make sure to mention it! We’re keen on candidates who are involved in the research community, so highlight any relevant publications or presentations.
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 in our AI team!
How to prepare for a job interview at Big Cloud
✨Know Your Stuff
Make sure you brush up on your machine learning concepts, especially deep learning. Be ready to discuss your past projects in detail, focusing on the challenges you faced and how you overcame them. This shows your hands-on experience and problem-solving skills.
✨Showcase Your Coding Skills
Since production-level coding is a must, be prepared to demonstrate your Python proficiency. You might be asked to solve a coding challenge or explain your code from previous projects. Practise coding problems related to machine learning to keep your skills sharp.
✨Engage with the Research Community
Highlight any involvement you have in the research community, such as conferences or publications. If you've published work at international conferences, be ready to discuss it. This shows your commitment to staying updated and contributing to the field.
✨Ask Insightful Questions
Prepare thoughtful questions about BigCloud's AI initiatives and the team you'll be working with. This not only demonstrates your interest in the role but also helps you gauge if the company aligns with your career goals and values.
