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- Tasks: Develop and operationalise machine learning models to enhance gaming experiences.
- Company: Leading interactive entertainment company in the UK with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a dynamic team impacting gaming for over 250 million users.
- Qualifications: Strong Python skills and experience in delivering ML systems and data pipelines.
- Other info: Be part of a collaborative environment that values creativity and engineering excellence.
The predicted salary is between 43200 - 72000 £ per year.
A leading interactive entertainment company in the UK is seeking a Principal AI/ML Engineer for their AI Center of Excellence. This hands-on role involves developing and operationalizing machine learning models to enhance gaming experiences for over 250 million users.
Ideal candidates will have:
- Strong Python skills
- A proven track record in delivering ML systems
- Experience in building data pipelines
Join a team that values innovation and pragmatic engineering in a dynamic tech environment.
Principal AI/ML Engineer - Ship Production ML for Games employer: King
Contact Detail:
King Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal AI/ML Engineer - Ship Production ML for Games
✨Tip Number 1
Network like a pro! Reach out to folks in the gaming and AI/ML space on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your passion for the industry.
✨Tip Number 2
Showcase your skills! Create a portfolio of your ML projects, especially those related to gaming. This will give potential employers a taste of what you can do and how you can enhance their gaming experiences.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and understanding data pipelines. Practice coding challenges and be ready to discuss your past projects in detail—this is your chance to shine!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for innovative minds like yours. Make sure your application stands out by tailoring it to highlight your experience in delivering ML systems and your love for gaming.
We think you need these skills to ace Principal AI/ML Engineer - Ship Production ML for Games
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python expertise in your application. We want to see how you've used it in past projects, especially in developing ML systems. Don’t hold back on the details!
Demonstrate Your ML Experience: Share specific examples of machine learning models you've developed and operationalised. We love seeing a proven track record, so include metrics or outcomes that showcase your impact.
Talk About Data Pipelines: If you've built data pipelines, let us know! Describe the tools and techniques you used, as well as any challenges you overcame. This will show us your hands-on experience and problem-solving 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 from our team!
How to prepare for a job interview at King
✨Know Your Python Inside Out
Since strong Python skills are a must for this role, make sure you brush up on your Python knowledge. Be prepared to discuss your experience with Python in detail, including any specific libraries or frameworks you've used in machine learning projects.
✨Showcase Your ML Success Stories
Have a few solid examples ready that demonstrate your track record in delivering ML systems. Talk about the challenges you faced, how you overcame them, and the impact your work had on previous projects. This will show your potential employer that you can deliver results.
✨Understand Data Pipelines
Since building data pipelines is part of the job, be ready to discuss your experience in this area. Explain the tools and techniques you've used to create efficient data workflows, and how they contributed to the success of your ML models.
✨Embrace Innovation and Pragmatism
This company values innovation and pragmatic engineering, so come prepared to discuss how you've applied these principles in your work. Share examples of how you've approached problem-solving creatively while still being practical in your solutions.