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- Tasks: Create innovative machine learning solutions to enhance financial data and solve user challenges.
- Company: Leading financial technology firm in the UK with a focus on innovation.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact in the fintech industry.
- Qualifications: 3+ years in data science, strong Python skills, and ability to explain complex ideas simply.
- Other info: Exciting opportunity for career advancement in a fast-paced environment.
The predicted salary is between 43200 - 72000 £ per year.
A financial technology firm in the UK is seeking a Machine Learning Engineer to bridge data science and software engineering. You will develop production-ready solutions that enhance financial data and solve user problems.
The ideal candidate has over 3 years of experience in data science, strong software practices in Python, and the ability to communicate complex concepts to non-technical stakeholders.
This role offers flexibility with remote work and various professional development benefits.
ML Engineer: Production Data Solutions (Remote) employer: Moneyhub
Contact Detail:
Moneyhub Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Engineer: Production Data Solutions (Remote)
✨Tip Number 1
Network like a pro! Reach out to folks in the financial tech space on LinkedIn or at meetups. We can’t stress enough how personal connections can open doors for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. We love seeing real-world applications of your work, especially if they solve user problems.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python skills and be ready to explain complex concepts simply. We want to see how you can communicate with non-technical stakeholders.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate candidates who fit our culture.
We think you need these skills to ace ML Engineer: Production Data Solutions (Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science and software engineering, especially with Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about bridging data science and software engineering. We love seeing candidates who can communicate complex ideas simply, so keep that in mind.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled user problems with your solutions. We’re looking for someone who can enhance financial data, so any relevant experiences will definitely catch our eye!
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. Plus, it’s super easy!
How to prepare for a job interview at Moneyhub
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and any relevant machine learning frameworks. Be ready to discuss your past projects in detail, especially how you've developed production-ready solutions. This will show that you can bridge the gap between data science and software engineering.
✨Communicate Clearly
Since you'll need to explain complex concepts to non-technical stakeholders, practice simplifying your explanations. Use analogies or real-world examples to make your points clearer. This will demonstrate your ability to communicate effectively, which is crucial for this role.
✨Showcase Problem-Solving Skills
Prepare to discuss specific user problems you've solved in previous roles. Think about the challenges you faced and how you approached them. This will highlight your analytical thinking and your ability to enhance financial data through innovative solutions.
✨Research the Company Culture
Take some time to understand the company's values and culture. This will help you tailor your responses to align with what they’re looking for. Plus, it shows that you're genuinely interested in the role and the company, which can set you apart from other candidates.
