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- Tasks: Lead the development of AI-driven sports experiences and shape ML system architecture.
- Company: Join a major consumer tech firm revolutionising live sports with AI.
- Benefits: Flexible hybrid work, competitive rates, and potential for contract extensions.
- Other info: Fast-paced, collaborative environment with opportunities for technical leadership.
- Why this job: Make a real impact on how millions engage with live sports through cutting-edge technology.
- Qualifications: Experience in ML engineering, strong Python skills, and knowledge of sports data.
The predicted salary is between 80000 - 100000 £ per year.
What if AI could completely change how millions of fans experience live sport? We're currently partnering with a major consumer technology and media business that’s investing heavily in AI-driven sports experiences. They’re building next-generation platforms that use machine learning, computer vision, and generative AI to transform how millions of fans engage with live sport; from real-time insights and predictive analytics to highly personalised viewing experiences.
They’re now looking for a Principal Machine Learning Engineer to play a key role in shaping the architecture, strategy, and delivery of large-scale production ML systems powering live sports environments. This is a genuinely high-impact opportunity for someone who enjoys solving complex real-time engineering challenges while influencing technical direction across AI, data, and platform teams.
Key areas of focus include:
- Real-time sports insights & personalisation
- Computer vision & multimodal AI
- Live event detection & metadata generation
- Low-latency ML inference systems
- End-to-end MLOps & production ML
- Scalable cloud-native AI platforms
What they’re looking for:
- Strong experience leading ML engineering initiatives in sports, media, streaming, or real-time data environments
- Deep understanding of sports data and analytics
- Advanced Python skills with frameworks such as PyTorch or TensorFlow
- Proven experience in productionising ML systems at scale
- Strong knowledge of streaming architectures and low-latency systems
- Technical leadership and mentoring experience
- Ability to communicate effectively with technical and non-technical stakeholders
The environment is fast-moving, highly collaborative, and focused on building genuinely innovative consumer-facing AI products. If you’d be interested in learning more, feel free to message me directly.
Principal Machine Learning Engineer in London employer: 5V Video
Contact Detail:
5V Video Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Machine Learning Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in sports tech or AI. Attend meetups, webinars, or even local events to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and sports. This can be a game-changer when it comes to impressing potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with real-time data and ML systems, as well as how you can contribute to innovative projects.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities, and applying directly can give you an edge. Plus, it’s a great way to show your enthusiasm for joining our team.
We think you need these skills to ace Principal Machine Learning Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in ML engineering, especially in sports or real-time data environments. We want to see how your skills align with the job description, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI in sports and how your background makes you the perfect fit for this role. We love seeing genuine enthusiasm and a clear connection to our mission.
Showcase Your Technical Skills: When detailing your experience, focus on your advanced Python skills and any frameworks like PyTorch or TensorFlow you've used. We’re keen to know how you’ve productionised ML systems at scale, so include specific examples that demonstrate your expertise.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it shows you’re proactive and ready to jump in!
How to prepare for a job interview at 5V Video
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest machine learning frameworks like PyTorch and TensorFlow. Brush up on your Python skills and be ready to discuss how you've used these technologies in real-time data environments, especially in sports or media.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of complex engineering challenges you've tackled. Think about how you approached low-latency ML inference systems or scalable cloud-native AI platforms, and be ready to explain your thought process clearly.
✨Communicate Like a Pro
Since you'll be working with both technical and non-technical stakeholders, practice explaining your ideas in simple terms. This will show that you can bridge the gap between different teams and ensure everyone is on the same page.
✨Demonstrate Leadership Experience
Highlight any experience you have in mentoring or leading ML engineering initiatives. Be prepared to discuss how you’ve influenced technical direction and collaborated with cross-functional teams to deliver innovative AI products.