At a Glance
- Tasks: Lead the development of ML systems for real-time sports insights and personalisation.
- Company: Join a leading global streaming platform transforming live sports experiences.
- Benefits: Competitive pay, flexible remote work, and opportunities for professional growth.
- Other info: Dynamic role with mentorship opportunities and a focus on innovation.
- Why this job: Make a real impact by solving complex AI problems for millions of users.
- Qualifications: Experience in building production ML systems and working with real-time data.
The predicted salary is between 70000 - 90000 € 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
(This isn’t a research role — it’s production, scale, and real-world impact) 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.
Senior Machine Learning Engineer - Remote in London employer: 5V Video
As a Senior Machine Learning Engineer at our leading global streaming and sports platform, you'll be part of a dynamic team that is revolutionising the way fans engage with live sports through cutting-edge AI technology. We foster a collaborative work culture that prioritises innovation and personal growth, offering you the chance to take ownership of impactful ML systems while mentoring fellow engineers. With flexible remote working options and a focus on real-time insights, this role not only promises meaningful contributions but also provides ample opportunities for professional development in a fast-paced environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer - Remote in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your ML projects, especially those related to real-time data or sports. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining your past projects and how they relate to the role, especially around low-latency systems.
✨Tip Number 4
Don’t forget to apply through our website! It’s the quickest way to get your application seen by the right people. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Senior Machine Learning Engineer - Remote in London
Some tips for your application 🫡
Show Your Passion for Sports and AI:When you're writing your application, let your love for sports and AI shine through! We want to see how your experience aligns with our mission of transforming live sports using machine learning. Share any relevant projects or insights that highlight your enthusiasm.
Tailor Your Experience:Make sure to customise your application to reflect the specific skills and experiences mentioned in the job description. Highlight your work with real-time data, low-latency systems, and any hands-on experience you've had with ML models in production. We love seeing how you fit into our world!
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to describe your achievements and technical skills. We appreciate a well-structured application that makes it easy for us to see your qualifications at a glance.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and get you in front of the right people quickly. Plus, it shows you’re serious about joining our team at StudySmarter!
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 manage CI/CD and model monitoring in a production environment.
✨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 insights, demonstrate your understanding of sports data, whether it’s event tracking or video analysis. Share any relevant experiences that highlight your expertise in this area.
✨Emphasise Leadership Skills
Highlight your technical leadership and mentoring experience. Be prepared to discuss how you’ve guided teams in the past and set technical direction, especially in high-stakes environments like live sports.
