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- Tasks: Design and enhance machine learning systems for fintech decisions.
- Company: Pioneering fintech company based in London with a focus on innovation.
- Benefits: Full-time role with competitive salary and opportunities to work with advanced AI.
- Why this job: Join a dynamic team and shape the future of AI in investment management.
- Qualifications: Degree in a related field and skills in Python, Java, and R.
- Other info: Exciting opportunity for career growth in a cutting-edge industry.
The predicted salary is between 28800 - 48000 £ per year.
A pioneering fintech company based in London is seeking a Machine Learning Engineer to enhance machine learning systems. Responsibilities include designing systems, collaborating with teams, and utilizing data for predictive modeling.
The ideal candidate will have skills in Python, Java, and R, along with a degree in a related field and at least two years of experience. This full-time role offers an exciting opportunity to work with advanced AI platforms in investment management.
Entry-Level ML Engineer: Shape AI for Fintech Decisions employer: Mintus
Contact Detail:
Mintus Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Entry-Level ML Engineer: Shape AI for Fintech Decisions
✨Tip Number 1
Network like a pro! Reach out to people in the fintech and AI space on LinkedIn. Join relevant groups, attend meetups, and don’t be shy to ask for informational interviews – you never know who might help you land that dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it’s predictive modelling or data visualisation, having tangible examples of your work can really set you apart from the competition.
✨Tip Number 3
Prepare for those interviews! Brush up on common ML concepts and be ready to discuss your experience with Python, Java, and R. Practise coding challenges and be prepared to explain your thought process – it’s all about demonstrating your problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for you. Tailor your application to highlight how your skills align with the role, and let us see your passion for shaping AI in fintech!
We think you need these skills to ace Entry-Level ML Engineer: Shape AI for Fintech Decisions
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your skills in Python, Java, and R. We want to see how your experience aligns with the role, so don’t be shy about showcasing relevant projects or coursework!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Projects: If you've worked on any machine learning projects, make sure to mention them! We love seeing practical applications of your skills, so include links or descriptions of your work that demonstrate your capabilities.
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 fintech!
How to prepare for a job interview at Mintus
✨Know Your Tech Stack
Make sure you brush up on your Python, Java, and R skills before the interview. Be ready to discuss specific projects where you've used these languages, as well as any machine learning frameworks you're familiar with. This will show that you’re not just a theoretical candidate but someone who can apply their knowledge practically.
✨Understand the Fintech Landscape
Familiarise yourself with the current trends in fintech, especially how AI is shaping investment management. Being able to discuss recent developments or case studies will demonstrate your genuine interest in the field and your proactive approach to learning.
✨Prepare for Collaborative Questions
Since the role involves collaborating with teams, be prepared to answer questions about teamwork and communication. Think of examples from your past experiences where you successfully worked with others to solve problems or achieve goals. This will highlight your ability to fit into their team-oriented culture.
✨Showcase Your Problem-Solving Skills
Expect technical questions that assess your problem-solving abilities. Practice explaining your thought process clearly and logically when tackling machine learning challenges. This will help the interviewers see how you approach complex issues and your potential to contribute to their innovative projects.
