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- Tasks: Develop scalable AI solutions and lead the deployment of ML models.
- Company: Leading betting and gaming operator in the UK with a dynamic team.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Shape the future of gaming with innovative AI solutions and cutting-edge technology.
- Qualifications: 3-5 years of ML engineering experience and strong programming skills in Java and Python.
- Other info: Join a collaborative environment focused on innovation and compliance.
The predicted salary is between 48000 - 72000 £ per year.
A leading betting and gaming operator in the United Kingdom is seeking a Machine Learning Engineer to develop scalable, end-to-end ML solutions. You will work closely with data scientists and lead the deployment of ML models, ensuring robust infrastructure and compliance.
The ideal candidate has:
- 3-5 years of experience in ML engineering
- Excellent programming skills in Java and Python
- Experience with Kubernetes
Join a dynamic team and help shape the future of gaming with innovative AI solutions.
Senior ML Engineer — Build Scalable AI Solutions employer: FDJ UNITED
Contact Detail:
FDJ UNITED Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer — Build Scalable AI Solutions
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in ML roles. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those involving scalable solutions. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with Java, Python, and Kubernetes. Practice common ML engineering questions to boost your confidence.
✨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 — Build Scalable AI Solutions
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in ML engineering, especially with Java and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about AI solutions and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Projects: If you've worked on any scalable ML solutions or have experience with Kubernetes, make sure to include those in your application. We love seeing real-world 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 don’t miss out on any important updates from our team!
How to prepare for a job interview at FDJ UNITED
✨Know Your ML Fundamentals
Brush up on your machine learning concepts and algorithms. Be ready to discuss how you’ve applied them in real-world scenarios, especially in scalable solutions. This will show your depth of knowledge and practical experience.
✨Showcase Your Programming Skills
Since the role requires excellent programming skills in Java and Python, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges beforehand to boost your confidence.
✨Familiarise Yourself with Kubernetes
As deployment is key in this role, make sure you understand how Kubernetes works. Be prepared to discuss your experience with it and how you’ve used it to manage ML models in production environments.
✨Prepare for Team Collaboration Questions
You’ll be working closely with data scientists, so expect questions about teamwork and collaboration. Think of examples where you’ve successfully worked in a team to deliver a project, highlighting your communication skills and adaptability.
