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- Tasks: Lead the development of cutting-edge ML systems for live sports experiences.
- Company: Join a major tech and media company revolutionising sports with AI.
- Benefits: Flexible hybrid work, competitive pay, and potential for contract extensions.
- Other info: Fast-paced, collaborative culture focused on groundbreaking consumer AI products.
- Why this job: Make a real impact on how millions enjoy live sports through innovative AI.
- Qualifications: Strong ML engineering experience, especially in sports or media environments.
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 in City of 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 City of London
✨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’re always on the lookout for talented individuals like you. Make sure your application stands out by tailoring it to highlight your experience in productionising ML systems and your understanding of sports data. Let’s get you that dream job!
We think you need these skills to ace Principal Machine Learning Engineer in City of London
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 the challenges we face.
Showcase Your Projects: If you've worked on any relevant projects, especially those involving computer vision or low-latency ML systems, make sure to mention them. We want to see how you've tackled complex problems 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 on being part of something groundbreaking!
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 knowledge of low-latency ML inference systems and be ready to discuss how you've implemented these in past projects.
✨Showcase Your Sports Data Savvy
Since this role is all about sports AI, be prepared to talk about your experience with sports data and analytics. Think of specific examples where your insights have led to impactful decisions or innovations in a sports context.
✨Demonstrate Leadership in ML Initiatives
Highlight your experience leading ML engineering initiatives, especially in fast-paced environments. Share stories that illustrate your ability to influence technical direction and collaborate effectively with cross-functional teams.
✨Prepare for Real-Time Problem Solving
Expect to tackle complex engineering challenges during the interview. Practice articulating your thought process for solving real-time problems, as this will showcase your critical thinking and adaptability in high-pressure situations.