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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 a focus on innovation.
- Benefits: Competitive salary, career growth, and the chance to lead a dynamic team.
- Why this job: Be at the forefront of developing a next-gen ML platform and make a real impact.
- Qualifications: Experience in building MLOps platforms and strong leadership skills.
- Other info: Join a collaborative environment with exciting opportunities for professional development.
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, attend meetups, and connect with people 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
Showcase your skills! Create a portfolio that highlights your MLOps projects and achievements. This is your chance to demonstrate your hands-on experience and leadership capabilities, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. Be ready to discuss your approach to building MLOps platforms and how you’ve successfully led teams in the past. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
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, as this will show us you're a great fit for the team.
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 candidate. Don’t forget to mention your vision for the ML operations strategy!
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 lead and innovate in MLOps.
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 our team!
How to prepare for a job interview at Arcus Search
✨Know Your MLOps Inside Out
Make sure you brush up on your MLOps knowledge before the interview. Be ready to discuss your experience in building ML infrastructure and how you've scaled platforms in the past. This will show that you’re not just familiar with the concepts but have practical experience to back it up.
✨Showcase Your Leadership Skills
Since this role involves leading a team, be prepared to share examples of how you've successfully managed teams in the past. Talk about your leadership style and how you foster collaboration between researchers and engineers. This will demonstrate that you can effectively shape the MLOps function.
✨Prepare for Technical Questions
Expect some technical questions related to MLOps tools and practices. Brush up on the latest technologies and methodologies in the field. Being able to discuss specific tools you've used and how they contributed to large-scale ML operations will set you apart from other candidates.
✨Align with Their Vision
Research the company’s goals and values, especially regarding their ML operations strategy. Be ready to articulate how your vision aligns with theirs and how you can contribute to developing their next-generation ML platform. This shows that you’re not just looking for a job, but are genuinely interested in being part of their mission.
