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 in London employer: Big Cloud
At Big Cloud, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. Our commitment to employee growth is reflected in our comprehensive training programmes and clear career progression paths, ensuring that our team members thrive in their roles while contributing to cutting-edge AI solutions in the financial sector. With competitive packages and a focus on work-life balance, we provide a rewarding environment for those looking to make a meaningful impact in investment banking.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer — Finance AI Research to Production in London
✨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 applications alone 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 when discussing your experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and deep learning concepts. Practice coding challenges and be ready to explain your thought process during problem-solving.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed!
We think you need these skills to ace Machine Learning Engineer — Finance AI Research to Production in London
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 include them in your application. We’re keen to see examples of your work, especially those that demonstrate your problem-solving skills and technical expertise.
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 don’t miss out on any important updates from us during the process!
How to prepare for a job interview at Big Cloud
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and any relevant libraries like TensorFlow or PyTorch. Be ready to discuss your previous projects in detail, especially those involving deep learning and AI applications in finance.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Think about how you can demonstrate your ability to manage complex AI projects and how you've approached problem-solving in past roles.
✨Understand the Financial Sector
Familiarise yourself with the latest trends in investment banking and how AI is being integrated into financial services. This will show your potential employer that you're not just a tech whiz but also understand the industry you're stepping into.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's AI initiatives and their vision for the future. This not only shows your interest in the role but also helps you gauge if the company aligns with your career goals.
