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- Tasks: Design and deploy ML models while collaborating with Data Scientists and Software Engineers.
- Company: Leading tech recruitment firm in the financial services sector.
- Benefits: Remote work, potential for contract extension, and competitive pay.
- Why this job: Join a dynamic team and make an impact in the financial services industry.
- Qualifications: Strong Python skills and experience with ML libraries like TensorFlow and PyTorch.
- Other info: Opportunity for growth in a fast-paced environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology recruitment firm is seeking a Machine Learning Engineer for an initial 6-month contract within the financial services sector. The ideal candidate will design and deploy ML models in production, collaborating with Data Scientists and Software Engineers, while ensuring compliance with performance and governance standards.
Strong Python skills and hands-on experience with ML libraries such as TensorFlow and PyTorch are essential. This role offers the potential for extension and a remote work setup.
Production ML Engineer - Remote Contract (FinServ) in London employer: Edison Smart®
Contact Detail:
Edison Smart® Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Production ML Engineer - Remote Contract (FinServ) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the financial services sector, especially those who work with ML. A friendly chat can open doors and give you insights that might just land you that contract.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those using TensorFlow and PyTorch. This will not only demonstrate your expertise but also make you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your Python skills and understanding the latest trends in ML. We recommend practising common interview questions and even doing mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for talented individuals like you!
We think you need these skills to ace Production ML Engineer - Remote Contract (FinServ) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with ML models and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about machine learning in the financial services sector and how you can contribute to our team. Keep it engaging and personal!
Showcase Your Technical Skills: Since we’re looking for someone with strong Python skills and experience with libraries like TensorFlow and PyTorch, make sure to mention specific projects where you’ve used these tools. We love seeing practical examples!
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!
How to prepare for a job interview at Edison Smart®
✨Know Your ML Models
Make sure you can discuss the ML models you've designed and deployed in detail. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This shows your hands-on experience and problem-solving skills.
✨Brush Up on Python and Libraries
Since strong Python skills are essential, review your knowledge of Python and the ML libraries like TensorFlow and PyTorch. Prepare to answer technical questions or even solve coding problems during the interview to demonstrate your proficiency.
✨Understand Compliance and Governance
Familiarise yourself with performance and governance standards in the financial services sector. Be prepared to discuss how you ensure compliance in your projects, as this is crucial for the role and will show that you understand the industry's requirements.
✨Collaborate Like a Pro
This role involves working closely with Data Scientists and Software Engineers, so be ready to talk about your collaboration experiences. Share examples of how you’ve successfully worked in teams, resolved conflicts, and contributed to shared goals.
