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 mentorship.
- Other info: Dynamic role with excellent growth potential and direct access to the team.
- Why this job: Make a real impact on millions of users with cutting-edge AI technology.
- Qualifications: Strong experience in production ML systems and 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 Python - Remote in London employer: 5V Video
Join a leading global streaming platform that is revolutionising the way fans engage with live sports through cutting-edge AI technology. With a strong emphasis on innovation, you will have the opportunity to take ownership of large-scale machine learning systems, work collaboratively in a dynamic hybrid environment, and benefit from a culture that prioritises mentorship and professional growth. This role not only offers the chance to solve complex real-time challenges but also to make a tangible impact on millions of users worldwide.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer Python - 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 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 problems in the past—real-world examples go a long way!
✨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 Python - Remote in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with real-time ML systems and sports data. We want to see how you've tackled similar challenges before, so don’t hold back on those relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for sports and AI, and explain why you’re excited about the role. We love seeing genuine enthusiasm, so let your personality come through.
Showcase Your Technical Skills:Be specific about your technical expertise in Python, PyTorch, and MLOps. We’re looking for hands-on experience, so mention any projects where you’ve built or deployed ML systems at scale.
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!
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 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 tackled low-latency challenges and how you’ve turned models from research into production.
✨Understand the Sports Data Landscape
Since this role revolves around sports, having a deep understanding of sports data is crucial. Familiarise yourself with event tracking and video data, and be prepared to discuss how you can leverage this for real-time insights.
✨Demonstrate Leadership Skills
They’re looking for someone who can mentor and set technical direction. Think of instances where you’ve led teams or projects, and be ready to share how you’ve driven experimentation and A/B testing in your previous roles.
