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 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
✨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 technical interview! Brush up on your Python and ML concepts, and be ready to discuss how you've tackled challenges in past projects. Confidence in your expertise can really impress.
✨Tip Number 4
Apply through our website! We make it easy for you to showcase your skills and experience directly. Plus, it shows you're serious about joining our innovative team at 5V Video.
We think you need these skills to ace Principal ML Engineer — Sports AI & Personalisation
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, so don’t hold back!
Tailor Your Application:Take a moment to customise your application for this specific role. Mention your understanding of sports data and how it relates to shaping large-scale ML systems. It’ll make you stand out!
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid fluff and get straight to what makes you the perfect fit for the job.
Apply Through Our Website:Don’t forget to apply 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 innovative, collaborative environment.
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 tackled challenges in ML, particularly in the context of sports data.
✨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 writing clean, efficient code that showcases your understanding of ML libraries and frameworks.
✨Understand the Sports Landscape
Familiarise yourself with the latest trends in sports technology and data analytics. Being able to discuss how ML can enhance sports experiences will show your passion for the field and your ability to contribute to their innovative environment.
✨Be Ready for Collaboration
This role is in a collaborative setting, 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 work environments.
