Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and enhance trading model research frameworks with cutting-edge machine learning techniques.
- Company: Leading proprietary trading firm known for innovation and excellence.
- Benefits: Attractive salary, comprehensive benefits, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of trading with your expertise.
- Qualifications: Advanced degree and 8+ years in MLOps or ML Research required.
- Other info: Based in London with no sponsorship needed.
The predicted salary is between 54000 - 84000 £ per year.
A leading proprietary trading firm is looking for a Senior Research Engineer to develop their trading model research framework and partner with Quantitative Researchers.
Candidates should hold an advanced degree and bring over 8 years of experience in MLOps or ML Research.
Strong proficiency in Python and experience in machine learning pipelines is essential.
This role is based in London and requires no sponsorship.
Senior Research Engineer: Ml Pipelines For Production in England employer: P2P
Contact Detail:
P2P Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Research Engineer: Ml Pipelines For Production in England
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at trading firms. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your MLOps projects and Python expertise. This is your chance to demonstrate your hands-on experience with machine learning pipelines.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your ML concepts and coding skills. We recommend mock interviews with friends or using online platforms to simulate the real deal.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Research Engineer: Ml Pipelines For Production in England
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 8+ years of experience in MLOps or ML Research. We want to see how your background aligns with the role, so don’t hold back on showcasing your relevant projects and achievements!
Python Proficiency is Key: Since strong proficiency in Python is essential for this role, be sure to mention any specific projects or experiences where you've used Python effectively. We love seeing real-world applications of your skills!
Tailor Your Application: Take a moment to tailor your application to our job description. We appreciate when candidates take the time to connect their skills and experiences directly to what we’re looking for in a Senior Research Engineer.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at P2P
✨Know Your Stuff
Make sure you brush up on your knowledge of MLOps and machine learning pipelines. Be ready to discuss your past projects in detail, especially those that showcase your proficiency in Python. The more specific examples you can provide, the better!
✨Understand the Company
Research the trading firm thoroughly. Understand their trading model research framework and how your role as a Senior Research Engineer fits into their overall strategy. This will help you tailor your answers and show that you're genuinely interested in contributing to their success.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and understanding of ML concepts. Practice explaining complex ideas clearly and concisely, as you may need to communicate with Quantitative Researchers who might not have a deep technical background.
✨Ask Insightful Questions
Prepare thoughtful questions to ask at the end of the interview. Inquire about the team dynamics, the tools they use for ML pipelines, or how they measure the success of their trading models. This shows your enthusiasm and helps you gauge if the company is the right fit for you.
