At a Glance
- Tasks: Shape large-scale ML systems for live sports and deliver real-time insights.
- Company: 5V Video, a cutting-edge tech company in West London.
- Benefits: Hybrid work model, innovative environment, and freelance flexibility.
- Other info: Collaborative culture with opportunities to innovate and grow.
- Why this job: Join a dynamic team and revolutionise sports AI with your expertise.
- Qualifications: Strong ML experience, advanced Python skills, and sports data knowledge.
The predicted salary is between 60000 - 80000 € per year.
5V Video in West London is seeking a Principal Machine Learning Engineer for a freelance 6-month contract. This role involves shaping large-scale ML systems for live sports, focusing on real-time insights, low-latency inference systems, and cloud-native AI platforms.
Ideal candidates will have:
- Strong ML experience
- Advanced Python skills
- A deep understanding of sports data
The position is hybrid and offers an innovative, collaborative environment.
Principal ML Engineer — Sports AI & Personalisation in London employer: 5V Video
5V Video is an exceptional employer, offering a dynamic and innovative work culture that thrives on collaboration and creativity. Located in West London, the company provides unique opportunities for professional growth in the rapidly evolving field of sports AI, while also promoting a hybrid work model that supports work-life balance. With a focus on cutting-edge technology and real-time applications, employees are empowered to make meaningful contributions to the future of sports analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Principal ML Engineer — Sports AI & Personalisation in London
✨Tip Number 1
Network like a pro! Reach out to folks in the sports tech scene, especially those working with ML. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio of projects or contributions to open-source ML systems, make sure to highlight them. Real-world examples of your work can set you apart from the crowd.
✨Tip Number 3
Prepare for the interview by diving deep into the company’s products and challenges. Think about how your experience with low-latency inference systems can help them innovate in live sports.
✨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 take that extra step!
We think you need these skills to ace Principal ML Engineer — Sports AI & Personalisation in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your strong ML experience and advanced Python skills in your application. We want to see how your expertise aligns with the role, especially when it comes to shaping large-scale ML systems for live sports.
Tailor Your Application:Don’t just send a generic CV! Tailor your application to reflect your understanding of sports data and how it relates to real-time insights and low-latency inference systems. This will show us you’re genuinely interested in the position.
Be Clear and Concise:When writing your application, keep it clear and concise. We appreciate straightforward communication, so make sure your points are easy to understand and directly relevant to the job description.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at 5V Video
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts, especially those related to real-time insights and low-latency systems. Be ready to discuss your past projects and how you've applied ML in sports data contexts.
✨Show Off Your Python Skills
Since advanced Python skills are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges that involve data manipulation and algorithm implementation.
✨Understand the Sports Landscape
Familiarise yourself with current trends in sports technology and how AI is being used to enhance viewer experiences. Being able to discuss specific examples will show your passion and understanding of the industry.
✨Emphasise Collaboration
This role is in an innovative, collaborative environment, so be prepared to talk about your experience working in teams. Share examples of how you've successfully collaborated with others to achieve project goals, especially in hybrid settings.
