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- Tasks: Lead the migration of ML workloads to AWS SageMaker and ensure production stability.
- Company: Join CreateFuture, a supportive tech company focused on growth and flexibility.
- Benefits: Remote/hybrid work options, competitive salary, and opportunities for professional development.
- Other info: Dynamic team culture with a focus on best-practice MLOps patterns.
- Why this job: Make a real impact in ML while leading innovative projects in a collaborative environment.
- Qualifications: Proven experience with Python-based ML workloads and strong leadership skills.
The predicted salary is between 60000 - 80000 £ per year.
CreateFuture is seeking a Lead MLOps Engineer in Leeds to provide technical leadership and own the delivery of ML workloads migrating from Databricks to AWS SageMaker. The successful candidate will have proven experience with Python-based ML workloads, strong leadership skills, and a solid understanding of container-based execution.
Responsibilities include:
- Coordinating across teams
- Ensuring production stability
- Defining best-practice MLOps patterns
Join a supportive culture focused on growth and flexibility.
Lead MLOps Engineer (Remote/Hybrid) employer: CreateFuture
Contact Detail:
CreateFuture Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead MLOps Engineer (Remote/Hybrid)
✨Tip Number 1
Network like a pro! Reach out to folks in the MLOps community on LinkedIn or attend meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python-based ML projects and any container-based execution you've done. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge around AWS SageMaker and MLOps best practices. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨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 Lead MLOps Engineer (Remote/Hybrid)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python-based ML workloads and any leadership roles you've had. We want to see how you can bring your technical expertise to the table!
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the specific requirements of the Lead MLOps Engineer role. We love seeing candidates who take the time to align their skills with what we’re looking for.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and get straight to the point about your relevant experience.
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 CreateFuture
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and container-based execution. Be ready to discuss your experience with ML workloads, especially in the context of migrating from Databricks to AWS SageMaker. The more specific examples you can provide, the better!
✨Showcase Your Leadership Skills
Since this role requires strong leadership, think about times when you've successfully led a team or project. Prepare to share how you coordinated across teams and ensured production stability. Highlighting your ability to guide others will set you apart.
✨Understand MLOps Best Practices
Familiarise yourself with best-practice MLOps patterns. Be prepared to discuss how you would define and implement these practices in a real-world scenario. This shows that you not only understand the theory but can also apply it effectively.
✨Embrace the Company Culture
CreateFuture values a supportive culture focused on growth and flexibility. During the interview, express your enthusiasm for working in such an environment. Share examples of how you've thrived in similar cultures and how you can contribute to their team dynamic.