At a Glance
- Tasks: Conduct cutting-edge AI research and build innovative products in investment banking.
- Company: Join BigCloud, a global leader in financial services with a strong AI team.
- Benefits: Competitive salary, career acceleration, and opportunities to publish your work globally.
- Other info: Engage with the research community and contribute to international conferences.
- Why this job: Make an impact in AI while working on exciting research projects.
- Qualifications: Degree in Computer Science, strong Python skills, and deep learning experience.
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 employer: Big Cloud
BigCloud is an exceptional employer, offering a dynamic work environment in the heart of London where innovation thrives. With strong compensation packages and ample opportunities for career acceleration, employees are encouraged to engage in cutting-edge research and contribute to the global AI community. The collaborative culture fosters personal growth and the chance to publish impactful work at international conferences, making it a rewarding place for Machine Learning Engineers to advance their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow Machine Learning enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving deep learning. Share your work on platforms like GitHub and make sure to highlight any published research – it’ll catch the eye of recruiters.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills. Practice common algorithms and data structures in Python, and be ready to discuss your past projects in detail. We want to see how you think and solve problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. Let’s get you that Machine Learning Engineer role!
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with Python and deep learning, and don’t forget to mention any complex AI projects you've worked on. We want to see how your skills match what we're looking for!
Showcase Your Research:If you’ve published work at international conferences, make it stand out! Include links or references in your application. We love seeing candidates who are actively involved in the research community, so let us know about your contributions.
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 great fit for our team. We appreciate a personal touch, so feel free to share your journey in the field.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get the best experience possible. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Big Cloud
✨Know Your Stuff
Make sure you brush up on your Python skills and deep learning concepts. Be ready to discuss your past projects in detail, especially those that involved production-level coding. This is your chance to showcase your technical expertise!
✨Research BigCloud
Familiarise yourself with BigCloud's work in AI and investment banking. Understanding their products and recent developments will help you tailor your answers and show genuine interest in the role. Plus, it’ll give you a leg up when discussing how you can contribute.
✨Prepare for Technical Questions
Expect some challenging technical questions or coding tests during the interview. Practise common algorithms and data structures, and be prepared to explain your thought process clearly. Remember, they want to see how you approach problem-solving!
✨Show Your Passion for Research
Since this role involves contributing to the research community, be ready to talk about any published work or conferences you've attended. Share your enthusiasm for AI and machine learning, and discuss how you stay updated with the latest trends and breakthroughs in the field.
