At a Glance
- Tasks: Research and build AI products for investment banking using machine learning.
- Company: Join Big Cloud, a leader in tech innovation within finance.
- Benefits: Attractive salary, career progression, and a chance to work with cutting-edge AI.
- Other info: Exciting opportunities for growth in a dynamic environment.
- Why this job: Make an impact in finance by developing advanced AI solutions.
- Qualifications: Degree in Computer Science and strong Python skills required.
The predicted salary is between 60000 - 80000 £ per year.
Big Cloud is seeking a Machine Learning Engineer to join a financial services giant in London. This role involves researching and building AI-focused products in investment banking.
The ideal candidate will have experience in production-level coding, deep learning, and managing complex AI projects. Candidates should hold a Computer Science degree and have a strong proficiency in Python.
The position offers excellent packages and career progression opportunities.
Machine Learning Engineer — Finance AI Research to Production employer: Big Cloud
Big Cloud is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets finance. With a strong focus on employee growth, we provide comprehensive training and career progression opportunities, alongside competitive packages that reflect our commitment to attracting top talent in the AI and investment banking sectors. Join us to be part of a collaborative culture that values creativity and excellence in technology.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer — Finance AI Research to Production
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and AI sectors on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to finance. This will give you an edge over other candidates.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and deep learning concepts. Practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests, so take advantage of it!
We think you need these skills to ace Machine Learning Engineer — Finance AI Research to Production
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in production-level coding and deep learning. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects you've worked on!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI in finance and how your background makes you a perfect fit for this role. We love seeing enthusiasm and a personal touch!
Showcase Your Projects:If you’ve managed complex AI projects, make sure to mention them! We’re interested in your hands-on experience, so include any relevant links or descriptions that demonstrate your capabilities in this area.
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. Don’t miss out!
How to prepare for a job interview at Big Cloud
✨Know Your Stuff
Make sure you brush up on your machine learning concepts, especially those related to finance. Be ready to discuss your experience with deep learning and production-level coding in Python. The more you can demonstrate your technical knowledge, the better!
✨Showcase Your Projects
Prepare to talk about specific AI projects you've worked on, particularly those that involved complex problem-solving. Highlight your role in these projects and any challenges you overcame. This will show your practical experience and ability to manage AI projects.
✨Understand the Company
Do some research on Big Cloud and the financial services giant they’re partnering with. Understand their products and how AI is being integrated into their services. This will help you tailor your answers and show that you're genuinely interested in the role.
✨Ask Insightful Questions
Prepare a few thoughtful questions to ask at the end of the interview. This could be about the team dynamics, the technologies they use, or future projects. It shows that you’re engaged and thinking critically about how you can contribute.
