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- Tasks: Design and deliver production-grade ML systems for a leading gaming platform.
- Company: Join a top digital gaming platform with a focus on innovation.
- Benefits: Enjoy a competitive salary, flexible work options, and growth opportunities.
- Why this job: Be at the forefront of ML technology in an exciting gaming environment.
- Qualifications: 3+ years in ML engineering, strong Python and SQL skills, Master's in STEM.
- Other info: Collaborate with talented teams to create scalable solutions.
The predicted salary is between 48000 - 72000 £ per year.
A leading digital gaming platform seeks a Senior Machine Learning Engineer to design and deliver production-grade ML systems. This hybrid role requires expertise in model development, data science, and cloud deployment.
Candidates should have over three years of experience in ML engineering, strong Python and SQL skills, and a Master's degree in a STEM field.
The position involves collaboration with data scientists and stakeholders to ensure robust and scalable solutions.
Senior ML Engineer — Production ML on AWS in City of London employer: Tate
Contact Detail:
Tate Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer — Production ML on AWS in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in ML or at gaming platforms. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those involving AWS. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and SQL skills. Practice coding challenges and be ready to discuss your past projects in detail. We want you to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior ML Engineer — Production ML on AWS in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in ML engineering, especially with production-grade systems. We want to see your strong Python and SQL skills shine through!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for this role. Share specific examples of your work in model development and cloud deployment to grab our attention.
Showcase Collaboration Skills: Since this role involves working closely with data scientists and stakeholders, mention any past experiences where you successfully collaborated on projects. We love seeing teamwork in action!
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 us!
How to prepare for a job interview at Tate
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and techniques. Be ready to discuss your experience with model development and data science, especially in the context of production-grade systems. They’ll want to see that you can not only build models but also deploy them effectively on AWS.
✨Show Off Your Python and SQL Skills
Since strong Python and SQL skills are a must for this role, prepare to demonstrate your coding abilities. You might be asked to solve problems or write snippets of code during the interview, so practice common algorithms and SQL queries beforehand.
✨Collaboration is Key
This role involves working closely with data scientists and stakeholders, so be ready to talk about your teamwork experiences. Share examples of how you've collaborated on projects, resolved conflicts, or communicated complex ideas to non-technical team members.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s current ML projects or their approach to cloud deployment. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values.
