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- Tasks: Lead a talented team to scale ML systems for 35 million users.
- Company: A leading digital marketplace in the UK with a focus on innovation.
- Benefits: Up to £140,000 salary, health coverage, and flexible working options.
- Why this job: Make a real impact by shaping the future of machine learning infrastructure.
- Qualifications: Experience in applied machine learning and strong leadership skills required.
- Other info: Join a dynamic team and drive cutting-edge technology in a flexible environment.
The predicted salary is between 84000 - 140000 £ per year.
A leading digital marketplace in the UK is seeking an experienced Engineering Manager to lead their MLOps function. This role involves managing a talented team, setting the strategic direction for ML infrastructure, and ensuring the performance of scalable ML systems.
The ideal candidate should have a solid background in applied machine learning, experience with cloud platforms, and strong leadership skills.
The position offers a salary of up to £140,000 along with a comprehensive benefits package, including health coverage and flexible working.
Remote MLOps Engineering Manager - Scale ML for 35M Users in Altrincham employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote MLOps Engineering Manager - Scale ML for 35M Users in Altrincham
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your MLOps projects or any relevant work. This gives potential employers a taste of what you can bring to the table and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common MLOps scenarios and challenges. Think about how you would tackle them and be ready to discuss your thought process. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Remote MLOps Engineering Manager - Scale ML for 35M Users in Altrincham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in MLOps and leadership. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements in applied machine learning and cloud platforms.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for our team. Share your vision for ML infrastructure and how you plan to lead a talented team to success.
Showcase Your Technical Skills: We’re looking for someone with a solid background in applied machine learning. Be sure to include specific examples of projects you've worked on, especially those that demonstrate your expertise in scalable ML systems.
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 during the process!
How to prepare for a job interview at Jobster
✨Know Your ML Stuff
Make sure you brush up on your applied machine learning knowledge. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will show your depth of understanding and practical experience.
✨Cloud Platforms Are Key
Since the role involves cloud platforms, be prepared to talk about your experience with them. Familiarise yourself with the specific cloud services the company uses, and think of examples where you've successfully implemented ML solutions in a cloud environment.
✨Leadership Matters
As an Engineering Manager, your leadership skills are crucial. Prepare to share your approach to managing teams, resolving conflicts, and fostering a collaborative environment. Think of specific instances where your leadership made a difference in project outcomes.
✨Strategic Vision for MLOps
The role requires setting the strategic direction for ML infrastructure. Be ready to discuss your vision for scaling ML systems and how you would align that with the company's goals. Show that you can think big while also being practical about implementation.
