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- Tasks: Create innovative AI solutions using LLMs and Python from design to deployment.
- Company: Fast-growing FinTech Unicorn based in Greater London.
- Benefits: Hybrid working model with 3 days in the office.
- Why this job: Join a dynamic team and shape the future of finance with cutting-edge technology.
- Qualifications: 4+ years of engineering experience, strong Python skills, and exposure to React.
- Other info: Exciting opportunity for career growth in a thriving industry.
The predicted salary is between 43200 - 72000 £ per year.
A dynamic FinTech Unicorn in Greater London is seeking an AI Engineer to join their fast-growing team. You will have the opportunity to work hands-on with LLMs and build innovative solutions from design to deployment.
Ideal candidates should have:
- Over 4 years of commercial engineering experience
- Strong skills in Python
- Exposure to React or similar technologies
The role offers hybrid working with 3 days in the office. Visa sponsorship is not available.
Hybrid AI Engineer – FinTech with LLMs & Python employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid AI Engineer – FinTech with LLMs & Python
✨Tip Number 1
Network like a pro! Reach out to people in the FinTech space, especially those working with LLMs and Python. A friendly chat can lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with LLMs and Python. This is your chance to demonstrate what you can do beyond just words on a CV.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge. Be ready to discuss your experience with Python and any relevant technologies like React. We want to see your passion and expertise shine through!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Hybrid AI Engineer – FinTech with LLMs & Python
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and any work you've done with LLMs. We want to see how your skills match the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about this role in FinTech and how your background makes you a perfect fit. Keep it engaging and personal – we love to see your passion!
Showcase Your Projects: If you’ve worked on any cool projects involving AI or Python, make sure to mention them! We’re keen to see what you’ve built and how you approach problem-solving. Links to GitHub or project demos are a bonus!
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 the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Oliver Bernard
✨Know Your LLMs
Make sure you brush up on your knowledge of large language models (LLMs). Be prepared to discuss how you've used them in past projects, and think about innovative solutions you could propose for the company. Showing that you can apply your expertise practically will impress the interviewers.
✨Python Proficiency is Key
Since strong Python skills are a must, be ready to demonstrate your coding abilities. You might be asked to solve problems on the spot or discuss your previous work with Python. Practise coding challenges beforehand to ensure you're sharp and confident during the interview.
✨React and Beyond
Even if React isn't your main focus, having a basic understanding of it or similar technologies can set you apart. Familiarise yourself with how front-end frameworks interact with AI solutions. This knowledge can help you articulate how you would contribute to the team’s projects.
✨Hybrid Work Mindset
With the role offering hybrid working, be prepared to discuss how you manage your time and productivity in both office and remote settings. Share examples of how you've successfully collaborated with teams in different environments, as this will show you're adaptable and ready for the company's working model.
