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: Strong experience in building production ML systems and working with 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
(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 (Fully Remote) 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 offer a fully remote work environment with flexible hours, a culture that fosters innovation and collaboration, and ample opportunities for professional growth and mentorship. Join us to take ownership of impactful ML systems that serve millions of users and contribute to the future of sports entertainment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer (Fully Remote)
✨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 showcasing your ML projects, especially those related to real-time data or sports. This will help you stand out and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the interview by brushing up on relevant tech stacks like Python, PyTorch, and MLOps. Be ready to discuss how you've tackled low-latency challenges in your past work.
✨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 (Fully Remote)
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!
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for this role. Highlight your experience with real-time data, ML systems, and any specific technologies mentioned in the job description. We appreciate when candidates take the time to connect their skills directly to what we’re looking for.
Be Clear About Your Impact:In your application, focus on the impact you've made in previous roles. Whether it’s improving system performance or leading a team, we want to know how you’ve contributed to the success of your projects. Numbers and specific examples can really make your application stand out!
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 the role. Plus, it gives you a chance to explore more about our company and culture while you’re at it!
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 real-time 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 ML systems that deliver insights during live events, as this is crucial for the role.
✨Understand Sports Data
Familiarise yourself with sports data nuances, especially event tracking and video analysis. Being able to speak intelligently about how you can leverage this data for real-time predictions will set you apart.
✨Demonstrate Leadership Skills
Since this role involves mentoring and setting technical direction, be prepared to discuss your leadership experiences. Share how you’ve guided teams in past projects, particularly in high-stakes environments.
