Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the migration of ML workloads to AWS SageMaker and ensure operational reliability.
- Company: Join a supportive tech company with a flexible working culture.
- Benefits: Enjoy remote work options and a collaborative environment.
- Other info: Great opportunity for career growth in a dynamic field.
- Why this job: Be a technical leader and make a significant impact in ML operations.
- Qualifications: Proven experience with Python-based ML workloads and strong leadership skills.
The predicted salary is between 70000 - 90000 £ per year.
CreateFuture is seeking a Lead MLOps Engineer in the UK to take technical leadership in migrating ML workloads from Databricks to AWS SageMaker. This role requires proven hands-on experience and strong knowledge of Python-based ML workloads. You will act as the technical authority for architectural decisions, ensuring operational reliability and stability. The company offers a supportive culture and flexible working arrangements, including hybrid and remote options.
Lead MLOps Engineer (Remote) — SageMaker Migrations in Edinburgh employer: CreateFuture
Contact Detail:
CreateFuture Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead MLOps Engineer (Remote) — SageMaker Migrations in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to folks in the MLOps community on LinkedIn or relevant forums. Engaging with others can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python-based ML projects, especially those involving AWS SageMaker. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common MLOps scenarios and challenges. We recommend practising your problem-solving skills and being ready to discuss your past experiences in detail.
✨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 Lead MLOps Engineer (Remote) — SageMaker Migrations in Edinburgh
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your hands-on experience with Python-based ML workloads. We want to see how you've tackled similar challenges in the past, so don’t hold back on those details!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it's necessary. Let us see your technical expertise without getting lost in complicated language.
Tailor Your Application: Take a moment to customise your application for this role. Mention your experience with migrating ML workloads and any specific projects that relate to AWS SageMaker. We love seeing how you connect your background to what we’re looking for!
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 CreateFuture
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and any relevant MLOps tools, especially AWS SageMaker. Be ready to discuss your hands-on experience with migrating ML workloads and how you've tackled challenges in the past.
✨Showcase Your Leadership Skills
As a Lead MLOps Engineer, you'll need to demonstrate your ability to lead technical discussions and make architectural decisions. Prepare examples of how you've successfully led projects or teams, focusing on your decision-making process and the outcomes.
✨Understand Their Culture
CreateFuture values a supportive culture, so be prepared to discuss how you can contribute to that environment. Think about how you can foster collaboration and support within a remote or hybrid team setting.
✨Ask Insightful Questions
Prepare thoughtful questions about their current ML workloads and the challenges they face with Databricks to AWS SageMaker migrations. This shows your genuine interest in the role and helps you assess if it's the right fit for you.