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- Tasks: Develop cutting-edge trading models and collaborate with researchers to enhance strategies.
- Company: Dynamic tech firm specialising in sports analytics.
- Benefits: Performance-based bonus, private healthcare, and gym membership.
- Why this job: Join a team at the forefront of sports analytics and make a real impact.
- Qualifications: Quantitative degree and strong software engineering skills.
- Other info: Exciting opportunities for growth in a fast-paced environment.
The predicted salary is between 60000 - 80000 £ per year.
A technology firm specializing in sports analytics is seeking a Machine Learning Engineer to develop production-ready trading models. You will work closely with quantitative researchers to build Python-based tooling and frameworks that enhance strategy research and minimize latency in trading operations.
The ideal candidate holds a quantitative degree and possesses significant software engineering skills.
Benefits include a performance-based bonus, private healthcare, and gym membership.
Senior ML Engineer — Production‑Ready Trading Models employer: Longshot Systems
Contact Detail:
Longshot Systems Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer — Production‑Ready Trading Models
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in sports analytics or trading. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to machine learning and trading models. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your ML concepts and coding skills. Practice common algorithms and be ready to discuss how you've applied them in real-world scenarios.
✨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 love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior ML Engineer — Production‑Ready Trading Models
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your quantitative degree and software engineering skills in your application. We want to see how your background aligns with the role of developing production-ready trading models.
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect your experience with Python-based tooling and frameworks. This will show us that you understand what we’re looking for.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your key points stand out without unnecessary fluff.
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 don’t miss any important updates from our team!
How to prepare for a job interview at Longshot Systems
✨Know Your ML Models Inside Out
Make sure you can discuss various machine learning models and their applications in trading. Be prepared to explain how you've implemented these models in past projects, focusing on the production-ready aspect.
✨Brush Up on Python Skills
Since the role involves building Python-based tooling, ensure you're comfortable with Python programming. Practice coding challenges that relate to data manipulation and algorithm implementation to showcase your software engineering skills.
✨Understand the Trading Landscape
Familiarise yourself with the basics of trading operations and the specific challenges faced in this field. Being able to discuss how your work can enhance strategy research and reduce latency will impress the interviewers.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their current projects, team dynamics, and how they measure success in this role. This shows your genuine interest and helps you assess if it's the right fit for you.