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- Tasks: Lead the development of AI-driven real-time sports experiences and mentor engineers.
- Company: A leading UK technology company at the forefront of innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Shape the future of live sports with cutting-edge AI technology.
- Qualifications: Experience in AI engineering, sports data, and MLOps practices.
- Other info: Dynamic environment with a focus on ethical and scalable AI solutions.
The predicted salary is between 48000 - 72000 £ per year.
A leading technology company in the UK is looking for an experienced AI Engineering Manager to lead the development of AI-driven real-time sports experiences. This hybrid role will focus on delivering production-ready machine learning systems. You will influence the technical direction in live sports, working with a diverse range of data, while mentoring engineers to build ethical and scalable AI solutions. Your expertise in sports data and MLOps practices will be crucial for success in this dynamic environment.
Real-Time AI Engineering Lead — Sports & Personalisation in London employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Real-Time AI Engineering Lead — Sports & Personalisation in London
✨Tip Number 1
Network like a pro! Reach out to folks in the sports tech industry on LinkedIn or at events. We can’t stress enough how personal connections can open doors that applications alone can’t.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or contributions to open-source AI tools, make sure to highlight them in conversations. We want to see your hands-on experience with real-time systems and MLOps.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss how you’d tackle challenges in live sports data. We’re all about ethical and scalable solutions, so have examples ready to share.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Real-Time AI Engineering Lead — Sports & Personalisation in London
Some tips for your application 🫡
Show Your Passion for Sports: When you're writing your application, let your love for sports shine through! We want to see how your enthusiasm for the game translates into your work with AI. Share any relevant experiences or projects that highlight this passion.
Highlight Your Technical Skills: Make sure to showcase your expertise in machine learning and MLOps practices. We’re looking for someone who can lead the charge in developing production-ready systems, so don’t hold back on detailing your technical prowess!
Emphasise Mentorship Experience: As a lead, mentoring is key! If you’ve got experience guiding engineers or teams, be sure to mention it. We value collaboration and growth, so share examples of how you've helped others develop their skills.
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 don’t miss out on any important updates. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Jobster
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of AI and machine learning, especially in the context of sports. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will show your depth of understanding and passion for the field.
✨Showcase Your Mentoring Skills
Since this role involves mentoring engineers, prepare examples of how you've successfully guided team members in the past. Think about specific instances where your mentorship led to improved performance or innovative solutions. This will highlight your leadership capabilities.
✨Understand the Sports Data Landscape
Familiarise yourself with the latest trends and technologies in sports data analytics. Be prepared to discuss how you can leverage this data to create engaging real-time experiences. Showing that you’re up-to-date will demonstrate your commitment to the industry.
✨Prepare for Ethical AI Discussions
Given the emphasis on building ethical AI solutions, be ready to talk about your approach to ethics in AI. Think about how you would ensure fairness and transparency in your systems. This will reflect your awareness of the broader implications of AI in sports.
