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- Tasks: Lead and manage production-grade Machine Learning platforms for impactful projects.
- Company: Leading tech company in Greater London with a focus on innovation.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Why this job: Drive significant business impact while working with cutting-edge ML and AI technologies.
- Qualifications: 8+ years in ML/AI, strong leadership skills, and cloud tech knowledge, especially GCP.
- Other info: Collaborative environment committed to development and inclusion.
The predicted salary is between 54000 - 84000 £ per year.
A leading technology company in Greater London seeks an experienced ML Engineering Manager to lead and manage production-grade Machine Learning platforms. You will provide technical leadership, ensuring operational excellence and driving significant business impact.
Ideal candidates have:
- 8+ years of expertise in ML and AI
- Proven team leadership skills
- Strong knowledge of cloud technologies, particularly GCP
This role emphasizes a collaborative environment committed to development and inclusion.
ML Engineering Manager - Agentic AI Platform Leader in London employer: On
Contact Detail:
On Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Engineering Manager - Agentic AI Platform Leader in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those in ML and AI. A personal recommendation can make all the difference when you're aiming for that ML Engineering Manager role.
✨Tip Number 2
Showcase your expertise! Prepare a portfolio or case studies that highlight your experience with production-grade Machine Learning platforms. This will help us see your technical leadership skills in action.
✨Tip Number 3
Practice makes perfect! Get ready for those interviews by rehearsing common questions related to ML and team management. We want to see how you handle operational excellence and drive business impact.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows your enthusiasm for joining our collaborative environment focused on development and inclusion.
We think you need these skills to ace ML Engineering Manager - Agentic AI Platform Leader in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 8+ years of experience in ML and AI. We want to see how your skills align with the role, so don’t be shy about showcasing your leadership experience and cloud tech knowledge!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about leading ML platforms and how you can drive business impact. Let us know what excites you about working in a collaborative environment.
Showcase Your Technical Skills: Don’t forget to mention your expertise in GCP and any other relevant technologies. We’re looking for someone who can provide technical leadership, so make sure we see that in your application!
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 this exciting opportunity!
How to prepare for a job interview at On
✨Know Your ML Inside Out
Make sure you brush up on your machine learning concepts and frameworks. Be ready to discuss your past projects in detail, especially those that had a significant impact. This will show your depth of knowledge and experience.
✨Showcase Your Leadership Skills
Prepare examples that highlight your team leadership abilities. Think about times when you successfully managed a team or project, and be ready to explain how you fostered collaboration and inclusion within your team.
✨Get Familiar with GCP
Since the role requires strong knowledge of cloud technologies, particularly Google Cloud Platform, make sure you’re up to speed with its services. Be prepared to discuss how you've used GCP in your previous roles and how it can benefit the company.
✨Emphasise Operational Excellence
Be ready to talk about how you ensure operational excellence in your projects. Discuss methodologies you’ve implemented to improve efficiency and performance in ML platforms, as this will resonate well with the company's focus on driving business impact.
