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- Tasks: Lead the development of ML systems for real-time sports insights and personalisation.
- Company: Join a leading global streaming platform transforming live sports with AI.
- Benefits: Competitive pay, hybrid work model, and opportunities for mentorship.
- Other info: Dynamic role with excellent growth potential in a fast-paced environment.
- Why this job: Make a real impact on millions of users with cutting-edge technology.
- Qualifications: Strong experience in production ML systems and real-time data.
The predicted salary is between 80000 - 100000 £ per year.
This role is about building systems that generate real-time insights during live sport.
Why This Role?
- Leading global streaming / sports platform
- Real ownership of ML systems at scale (millions of users)
- Solving complex real-time + low latency AI problems
The Company / Product
You’ll be working on a cutting-edge platform transforming how fans experience live sport using AI to deliver personalised insights, predictions, and real-time data during live events.
What You’ll Be Working On
- Leading development of ML systems for live sports insights + personalisation
- Building solutions across Computer Vision, ML, and Generative AI
- Turning live video + sports data into real-time predictions and insights
- Designing low-latency, high-scale ML systems in production
- Driving end-to-end MLOps (CI/CD, monitoring, retraining, deployment)
- Integrating ML outputs into personalisation engines
- Owning experimentation, A/B testing, and performance metrics
- Mentoring engineers and setting technical direction across teams
Tech Stack
- Python
- PyTorch / TensorFlow
- MLOps (CI/CD, model monitoring, retraining pipelines)
- Real-time / streaming systems
- Cloud-based ML infrastructure
What You’ll Bring
- Strong experience building production ML systems at scale
- Experience working with real-time or streaming data
- Deep understanding of sports data (event, tracking, or video)
- Hands-on experience taking models from research → production
- Strong technical leadership and mentoring experience
Ideal Profiles
- Principal / Staff ML Engineers in streaming, sports, or media
- ML Engineers from real-time / low-latency environments
- Engineers working on computer vision, personalisation, or live data systems
No need for a perfect CV if you’ve built ML systems that run in production, let’s talk. I can get you directly in front of the team quickly.
Principle Machine Learning Engineer employer: 5V Video
Contact Detail:
5V Video Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principle Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in sports tech or ML. A friendly chat can open doors and give you insights that a job description 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 speak volumes more than a CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your ML concepts and coding skills. Practice solving problems under time constraints, as this role is all about real-time insights and low-latency solutions.
✨Tip Number 4
Apply through our website! We want to see your application directly, and it gives you a better chance to stand out. Plus, we can get you in front of the team quickly if you’ve got the right experience.
We think you need these skills to ace Principle Machine Learning Engineer
Some tips for your application 🫡
Show Your Passion for Sports and Tech: When you’re writing your application, let your love for sports and technology shine through. We want to see how your experience aligns with our mission of transforming live sports using AI. Share any relevant projects or experiences that highlight your enthusiasm!
Highlight Your Real-Time Experience: Make sure to emphasise your experience with real-time data and low-latency systems. We’re looking for someone who can tackle complex problems in a fast-paced environment, so don’t hold back on showcasing your skills in this area!
Be Clear About Your Technical Skills: List out your technical skills clearly, especially those related to Python, PyTorch, TensorFlow, and MLOps. We want to know what tools you’re comfortable with and how you’ve used them in production settings. Specific examples will make your application stand out!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the quickest way to get your application in front of us, and we can’t wait to see what you bring to the table. Don’t miss out on this opportunity to join our team!
How to prepare for a job interview at 5V Video
✨Know Your Tech Stack
Make sure you’re well-versed in Python, PyTorch, and TensorFlow. Brush up on your MLOps knowledge too, as they’ll want to see how you can drive CI/CD and model monitoring in production.
✨Showcase Real-Time Experience
Prepare examples of your work with real-time or streaming data. Be ready to discuss specific projects where you’ve built low-latency ML systems and how they impacted user experience.
✨Understand Sports Data
Since this role revolves around sports, having a deep understanding of sports data is crucial. Familiarise yourself with event tracking and video analysis, and be prepared to discuss how you can leverage this knowledge in your work.
✨Demonstrate Leadership Skills
Highlight your mentoring experience and technical leadership. They’ll be looking for someone who can guide teams and set the technical direction, so come prepared with examples of how you’ve done this in past roles.