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- Tasks: Lead and shape a new MLOps function while designing ML infrastructure.
- Company: A leading technology firm in Greater London with innovative projects.
- Benefits: Competitive salary, career growth, and the chance to lead a dynamic team.
- Why this job: Be at the forefront of developing a next-generation ML platform.
- Qualifications: Experience in building MLOps platforms and strong leadership skills.
- Other info: Collaborate with researchers and engineers in a fast-paced environment.
The predicted salary is between 48000 - 72000 £ per year.
A leading technology firm in Greater London is seeking an experienced ML Ops Manager to lead and shape a newly forming MLOps function. This hands-on leadership role involves initially designing ML infrastructure, growing a team, and owning the ML operations strategy.
The ideal candidate should have experience in building MLOps platforms for large-scale usage and possess strong leadership skills. With a focus on partnership with researchers and engineers, this role is key to developing a next-generation ML platform.
MLOps Manager: Scale Platform & Lead Team (London) employer: Arcus Search
Contact Detail:
Arcus Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land MLOps Manager: Scale Platform & Lead Team (London)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. Building connections can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your MLOps projects. This is your chance to demonstrate your hands-on experience and leadership capabilities in a tangible way.
✨Tip Number 3
Prepare for interviews by brushing up on common MLOps scenarios. Think about how you’d design ML infrastructure or lead a team through challenges. We want you to shine!
✨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!
We think you need these skills to ace MLOps Manager: Scale Platform & Lead Team (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the MLOps Manager role. Highlight your experience in building MLOps platforms and any leadership roles you've held. We want to see how you can shape our newly forming MLOps function!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about MLOps and how your background makes you the perfect fit for leading our team. Don’t forget to mention your collaborative spirit, as partnership with researchers and engineers is key for us.
Showcase Your Projects: If you've worked on relevant projects, make sure to include them in your application. We love seeing real-world examples of your work, especially those that demonstrate your ability to design ML infrastructure and lead teams effectively.
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 shows us you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Arcus Search
✨Know Your MLOps Inside Out
Make sure you’re well-versed in MLOps principles and practices. Brush up on your experience with building ML infrastructure and platforms, as you'll likely be asked to share specific examples of your past work. Be ready to discuss the challenges you've faced and how you overcame them.
✨Showcase Your Leadership Skills
Since this role involves leading a team, it’s crucial to demonstrate your leadership style. Prepare anecdotes that highlight your ability to grow and mentor a team, as well as how you foster collaboration between researchers and engineers. Think about how you can inspire others and drive results.
✨Understand the Company’s Vision
Research the technology firm thoroughly. Understand their current projects, values, and future goals. This will not only help you tailor your answers but also show your genuine interest in the company and how you can contribute to their next-generation ML platform.
✨Prepare Questions That Matter
Interviews are a two-way street, so come prepared with insightful questions. Ask about the company's approach to MLOps, the challenges they face, and how they envision the growth of the team. This shows that you’re not just interested in the role, but also in the company’s long-term success.
