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- Tasks: Design AI algorithms and enhance game anomaly detection systems.
- Company: Leading gaming company in Greater London with a passion for innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join us to revolutionise gaming experiences for millions of players worldwide.
- Qualifications: Master's in a relevant field and experience in machine learning and game development.
- Other info: Mentorship opportunities and a collaborative team environment await you.
The predicted salary is between 48000 - 72000 £ per year.
A leading gaming company in Greater London is looking for a Senior Machine Learning Engineer to advance game anomaly detection systems. The role involves designing AI algorithms, mentoring team members, and publishing research.
Ideal candidates have a Master's or equivalent in a relevant field and experience in machine learning, especially in game development. Additional skills in Python and frameworks like TensorFlow or PyTorch are essential.
Join us in enhancing the gaming experience for millions!
Senior ML Engineer - Game Anomaly Detection in London employer: Sony Playstation
Contact Detail:
Sony Playstation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer - Game Anomaly Detection in London
✨Tip Number 1
Network like a pro! Reach out to folks in the gaming industry, especially those working with 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 in game anomaly detection or any relevant ML work. This could be anything from GitHub repos to blog posts explaining your algorithms. It’s a great way to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and frameworks like TensorFlow or PyTorch. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and solve problems, so be ready to showcase your thought process!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged with our company. So, get that application in and let’s enhance the gaming experience together!
We think you need these skills to ace Senior ML Engineer - Game Anomaly Detection in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and game development. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about game anomaly detection and how your background makes you the perfect fit for our team. Let us know what excites you about this opportunity!
Showcase Your Technical Skills: Since we’re looking for someone with expertise in Python and frameworks like TensorFlow or PyTorch, make sure to mention any relevant projects or experiences. We love seeing practical applications of your 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’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Sony Playstation
✨Know Your Algorithms
Brush up on the AI algorithms relevant to game anomaly detection. Be ready to discuss how you've applied these in past projects, and think about how you can improve existing systems. Showing your depth of knowledge will impress the interviewers.
✨Showcase Your Mentoring Skills
Since mentoring is part of the role, prepare examples of how you've guided team members in the past. Discuss specific instances where your mentorship led to improved performance or innovative solutions. This will demonstrate your leadership potential.
✨Demonstrate Your Coding Proficiency
Make sure you're comfortable with Python and frameworks like TensorFlow or PyTorch. You might be asked to solve a coding problem during the interview, so practice common ML tasks and be ready to explain your thought process as you code.
✨Research the Company’s Games
Familiarise yourself with the company's games and their current anomaly detection systems. Being able to discuss how your skills can enhance their products will show your genuine interest and help you stand out as a candidate.
