Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop scalable AI solutions and deploy ML models in a dynamic environment.
- Company: Leading betting and gaming operator in the UK with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Shape the future of gaming with cutting-edge AI technology and impactful projects.
- Qualifications: 3-5 years in ML engineering, strong Java and Python skills, Kubernetes experience.
- Other info: Join a collaborative team dedicated to pushing the boundaries of gaming technology.
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 in London 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 in London
✨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 and even referrals.
✨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 technical interviews by brushing up on your Java and Python skills. Practice coding challenges and be ready to discuss your experience with Kubernetes and deploying ML models.
✨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 are proactive about their job search!
We think you need these skills to ace Senior ML Engineer — Build Scalable AI Solutions in London
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 dynamic 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’re considered for the role. Plus, it’s super easy!
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 you'll be working with deployment, make sure you understand Kubernetes well. Be prepared to discuss how you've used it in past projects, and think about any challenges you faced and how you overcame them.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their current ML projects, team dynamics, and future goals. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
