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- Tasks: Lead the development of trading model research tools and collaborate with teams to enhance processes.
- Company: A leading proprietary trading firm in London known for innovation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and make a significant impact in trading technology.
- Qualifications: Advanced degree, strong MLOps skills, and proficiency in Python with TensorFlow and PyTorch.
- Other info: Exciting role in an innovative environment without sponsorship.
The predicted salary is between 43200 - 72000 £ per year.
A leading proprietary trading firm in London is looking for a Senior Research Engineer to enhance its trading model research framework. The ideal candidate will have an advanced degree, strong MLOps expertise, and proficiency in Python with tools like TensorFlow and PyTorch.
You will lead the development of new tools and collaborate with teams to refine processes. This exciting role offers the chance to work in an innovative environment without sponsorship.
Senior ML Research Engineer – Trading Platform in London employer: Flow Traders
Contact Detail:
Flow Traders Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Research Engineer – Trading Platform in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Python, TensorFlow, and PyTorch. We want to see your MLOps expertise in action, so make sure it’s easy for potential employers to find your work.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your past experiences. We suggest practising common ML scenarios and problem-solving questions to impress the interviewers.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and eager to join our innovative team.
We think you need these skills to ace Senior ML Research Engineer – Trading Platform in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your advanced degree and MLOps expertise. We want to see how your skills in Python, TensorFlow, and PyTorch align with the role, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about enhancing our trading model research framework and how your experience can contribute to our innovative environment.
Showcase Collaboration Skills: Since this role involves working with teams, mention any past experiences where you’ve successfully collaborated on projects. We love seeing how you can lead development while refining processes with others!
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 our London office!
How to prepare for a job interview at Flow Traders
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, TensorFlow, and PyTorch. Brush up on your MLOps knowledge too, as you’ll likely be asked to discuss how you’ve implemented these tools in past projects.
✨Showcase Your Research Skills
Prepare to talk about your previous research experiences and how they relate to trading models. Bring examples of your work that demonstrate your ability to enhance frameworks and lead development.
✨Collaborative Mindset
Since the role involves working with teams, be ready to discuss how you’ve collaborated in the past. Highlight any cross-functional projects where you’ve refined processes or developed new tools together.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s trading model research framework and their innovative environment. This shows your genuine interest and helps you assess if it’s the right fit for you.
