Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Transform trading models into production systems and design essential tools.
- Company: Leading tech company in the UK with a focus on innovation.
- Benefits: Bonus scheme, healthcare, and hybrid working options.
- Why this job: Join a dynamic team and make an impact in the finance tech space.
- Qualifications: Strong Python and C++ skills, plus experience in high-performance computing.
- Other info: Exciting opportunities for growth in a collaborative environment.
The predicted salary is between 48000 - 72000 £ per year.
A technology company in the United Kingdom is seeking a Machine Learning Engineer to join their modeling engineering team. The role involves converting trading models into production systems, designing necessary tooling, and supporting strategy research and development.
The ideal candidate will have a strong foundation in Python and C++, alongside experience in high-performance computing. Hybrid working is supported, and various perks such as a bonus scheme and healthcare are offered.
Senior ML Engineer — High-Performance Python & HPC in London employer: Longshot Systems Ltd
Contact Detail:
Longshot Systems Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer — High-Performance Python & HPC in London
✨Tip Number 1
Network like a pro! Reach out to current employees in the company or industry on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio of your projects, especially those involving Python and high-performance computing. We want to demonstrate our expertise in converting models into production systems.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your Python and C++ skills. We can even do mock interviews together to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can keep track of our applications and follow up easily.
We think you need these skills to ace Senior ML Engineer — High-Performance Python & HPC in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and C++ in your application. We want to see how you've used these languages in real-world projects, especially in high-performance computing.
Tailor Your Application: Don’t just send a generic CV! We love it when candidates tailor their applications to the role. Mention specific projects or experiences that relate to converting trading models into production systems.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and fit for the role.
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 position without any hiccups!
How to prepare for a job interview at Longshot Systems Ltd
✨Know Your Python and C++ Inside Out
Make sure you brush up on your Python and C++ skills before the interview. Be ready to discuss specific projects where you've used these languages, especially in high-performance computing contexts. They’ll likely want to see how you can apply your knowledge to real-world problems.
✨Showcase Your HPC Experience
Prepare to talk about your experience with high-performance computing. Think of examples where you've optimised code or improved system performance. This will demonstrate your ability to handle the technical demands of the role and show that you understand the intricacies of HPC.
✨Understand the Company’s Trading Models
Do some homework on the company’s trading models and how they convert them into production systems. Being able to discuss their approach and suggest improvements or tools you could design will set you apart from other candidates. It shows you're genuinely interested in their work.
✨Be Ready for Problem-Solving Questions
Expect to face some technical problem-solving questions during the interview. Practice coding challenges or algorithm questions related to machine learning and high-performance systems. This will help you think on your feet and demonstrate your analytical skills.