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- Tasks: Lead the deployment and scaling of Machine Learning initiatives in a dynamic iGaming environment.
- Company: A top player in the iGaming sector, known for innovation and growth.
- Benefits: Competitive salary, flexible work options, and opportunities for professional development.
- Why this job: Influence ML strategy across multiple brands and coach the next generation of engineers.
- Qualifications: Expertise in AWS SageMaker, Snowflake, and various ML tools required.
- Other info: Join a vibrant team and make a real impact in the tech world.
The predicted salary is between 60000 - 84000 £ per year.
A leading organization in the iGaming sector is looking for a Lead ML Ops Specialist to drive the deployment and scaling of their Machine Learning initiatives. This senior, hands-on consulting role involves defining the ML platform, establishing pipelines, and coaching less experienced engineers. The ideal candidate will have expertise in AWS SageMaker, Snowflake, and various ML tools. This position offers the opportunity to work in a dynamic environment, influencing ML strategy across multiple brands.
Senior ML Ops Lead - Platform and CI/CD Architect in Nottingham employer: Explore Group
Contact Detail:
Explore Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Ops Lead - Platform and CI/CD Architect in Nottingham
✨Tip Number 1
Network like a pro! Reach out to folks in the iGaming sector, especially those working with ML Ops. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your experience with AWS SageMaker, Snowflake, and other ML tools. This will help us see your hands-on expertise and how you can drive our ML initiatives.
✨Tip Number 3
Prepare for the interview by brushing up on your coaching skills. As a Lead ML Ops Specialist, you'll be guiding less experienced engineers, so be ready to share your knowledge and experiences.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior ML Ops Lead - Platform and CI/CD Architect in Nottingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS SageMaker, Snowflake, and any other ML tools you've used. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about ML Ops and how you can drive our initiatives forward. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Leadership Skills: Since this role involves coaching less experienced engineers, make sure to highlight any mentoring or leadership experiences you’ve had. We’re looking for someone who can inspire and guide others in their ML journey.
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 this exciting opportunity in the iGaming sector!
How to prepare for a job interview at Explore Group
✨Know Your Tech Inside Out
Make sure you’re well-versed in AWS SageMaker, Snowflake, and the various ML tools mentioned in the job description. Brush up on your technical skills and be ready to discuss specific projects where you've successfully implemented these technologies.
✨Showcase Your Leadership Skills
As a Senior ML Ops Lead, you'll be expected to coach less experienced engineers. Prepare examples of how you've mentored others in the past, and be ready to discuss your approach to leading teams and driving ML initiatives.
✨Understand the iGaming Sector
Familiarise yourself with the iGaming industry and its unique challenges. Research the company’s brands and think about how your expertise can influence their ML strategy. This will show your genuine interest and help you stand out.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think through potential challenges in deploying and scaling ML initiatives and be ready to share your thought process and solutions during the interview.
