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 cutting-edge technology.
- Why this job: Make a real impact by solving complex AI problems for millions of users.
- Qualifications: Strong experience in production ML systems and real-time data handling.
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 Python - Remote employer: 5V Video
Join a leading global streaming platform that is revolutionising the way fans engage with live sports through cutting-edge AI technology. As a Senior Machine Learning Engineer, you will enjoy a dynamic work culture that fosters innovation and collaboration, with opportunities for professional growth and mentorship. With the flexibility of a hybrid work model and the chance to make a real impact on millions of users, this role offers a unique blend of challenge and reward in an exciting industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer Python - 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 maybe even 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 your technical knowledge. Be ready to discuss your experience with Python, MLOps, and any relevant projects. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the quickest way to get noticed and put your application in front of the right people. We’re excited to see what you bring to the table!
We think you need these skills to ace Senior Machine Learning Engineer Python - Remote
Some tips for your application 🫡
Show Your Passion for Sports and Tech:Make sure to highlight your love for sports and how it drives your interest in machine learning. We want to see that you’re not just about the tech, but also about enhancing the fan experience through real-time insights.
Tailor Your CV and Cover Letter:Don’t just send a generic application! We want to see how your experience aligns with our needs. Mention specific projects where you've built ML systems at scale or worked with real-time data, especially in sports.
Be Clear About Your Technical Skills:When listing your skills, be specific about your experience with Python, PyTorch, TensorFlow, and MLOps. We’re looking for hands-on experience, so don’t hold back on the details of your past projects!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands quickly. Plus, it shows us you’re serious about joining 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 handle CI/CD and model monitoring in real-time systems.
✨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, especially in sports.
✨Demonstrate Leadership Skills
Since this role involves mentoring and setting technical direction, think of instances where you’ve led a team or project. Highlight your experience in guiding engineers and driving end-to-end MLOps.
✨Understand the Sports Data Landscape
Familiarise yourself with the nuances of sports data, including event tracking and video analysis. Being able to speak intelligently about how to turn this data into real-time predictions will set you apart.
