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- Tasks: Lead the development of AI-driven sports experiences using machine learning and computer vision.
- Company: Join a major tech and media company revolutionising live sports with AI.
- Benefits: Flexible hybrid work, competitive pay, and opportunities for contract extensions.
- Other info: Fast-paced, collaborative environment with a focus on cutting-edge consumer AI products.
- Why this job: Make a real impact on how millions enjoy live sports through innovative technology.
- Qualifications: Strong ML engineering experience, advanced 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; 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.
- Computer vision & multimodal AI
- Low-latency ML inference systems
- End-to-end MLOps & production ML
- Scalable cloud-native AI platforms
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.
The environment is fast-moving, highly collaborative, and focused on building genuinely innovative consumer-facing AI products.
Principal Machine Learning Engineer employer: 5V Video
Contact Detail:
5V Video Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the sports tech scene, especially those working with AI and machine learning. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning in sports or real-time data. This could be anything from GitHub repos to case studies. It’s a great way to demonstrate your expertise and passion for the field.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and ML frameworks like PyTorch or TensorFlow. Practice coding challenges and system design questions that focus on low-latency ML inference systems. We want you to feel confident and ready to tackle any question thrown your way!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly shows your enthusiasm and commitment to joining our innovative team in transforming sports experiences with AI.
We think you need these skills to ace Principal Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Principal Machine Learning Engineer role. Highlight your experience in ML engineering, especially in sports or real-time data environments, to catch our eye!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI in sports and how your background makes you the perfect fit for this role. We love seeing genuine enthusiasm and a clear understanding of what we do.
Showcase Your Projects: If you've worked on any relevant projects, especially those involving machine learning or computer vision, make sure to mention them. We want to see how you've tackled complex challenges and delivered innovative solutions!
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. Don’t miss out!
How to prepare for a job interview at 5V Video
✨Know Your Stuff
Make sure you brush up on your machine learning fundamentals, especially in areas like computer vision and low-latency ML inference systems. Be ready to discuss your previous projects and how they relate to the role, particularly any experience you've had with sports data and analytics.
✨Showcase Your Leadership Skills
As a Principal Machine Learning Engineer, you'll need to demonstrate your ability to lead initiatives. Prepare examples of how you've influenced technical direction in past roles, especially in fast-paced environments. Highlight your collaborative experiences and how you've worked with cross-functional teams.
✨Get Familiar with Their Tech Stack
Since the role involves using frameworks like PyTorch or TensorFlow, make sure you're comfortable discussing these tools. If you have experience with cloud-native AI platforms, be ready to share insights on how you've implemented scalable solutions in production.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about their current projects, challenges they're facing in AI-driven sports experiences, and how they envision the future of their platforms. This shows your genuine interest and helps you assess if it's the right fit for you.