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- Tasks: Lead a team while coding and mentoring on exciting ML projects.
- Company: Dynamic UK-based SaaS scale-up with a focus on innovation.
- Benefits: Competitive salary, hybrid working, and opportunities for professional growth.
- Why this job: Make a real impact in ML while developing your leadership skills.
- Qualifications: Experience in engineering management and a passion for machine learning.
- Other info: Join a collaborative environment with a strong focus on team success.
The predicted salary is between 80000 - 110000 £ per year.
A UK-based SaaS scale-up is seeking an Engineering Manager to lead a team while focusing on technical contributions and ML projects. You will spend significant time coding and mentoring engineers.
Responsibilities include:
- Building features
- Launching ML models
- Collaborating with cross-functional teams
The role offers a competitive salary range of £80,000 to £110,000, with a hybrid working policy requiring 2 days a week in the office.
Hands-On Engineering Manager, ML Platform & Data in England employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hands-On Engineering Manager, ML Platform & Data in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech and ML space. Attend meetups or webinars, and don’t be shy about asking for introductions. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your coding projects and ML models. This is your chance to demonstrate your hands-on experience and technical contributions. We love seeing real examples of what you can do!
✨Tip Number 3
Prepare for those interviews! Research the company and its products, especially their ML platform. We recommend practising common interview questions and even some technical challenges. Confidence is key, so let your passion for engineering shine through!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for talented individuals who are ready to lead and innovate in the ML space. Don’t miss out on this opportunity!
We think you need these skills to ace Hands-On Engineering Manager, ML Platform & Data in England
Some tips for your application 🫡
Show Your Technical Skills: Make sure to highlight your coding experience and any ML projects you've worked on. We want to see how you can contribute technically, so don’t hold back on showcasing your skills!
Emphasise Leadership Experience: As an Engineering Manager, you'll be leading a team. Share examples of how you've mentored engineers or led projects in the past. We love seeing how you can inspire and guide others!
Tailor Your Application: Take a moment to customise your application for this role. Mention specific features or ML models you've built that relate to our work at StudySmarter. It shows us you're genuinely interested!
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 Harnham
✨Show Your Technical Skills
As an Engineering Manager focusing on ML projects, it's crucial to demonstrate your coding abilities. Be prepared to discuss your past projects in detail, especially those involving machine learning. Bring examples of your work or even code snippets that showcase your technical contributions.
✨Highlight Your Mentoring Experience
Since mentoring engineers is a key part of the role, share specific instances where you've successfully guided team members. Discuss your approach to coaching and how you’ve helped others grow in their technical skills. This will show that you can lead while also being hands-on.
✨Prepare for Cross-Functional Collaboration Questions
Collaboration with other teams is essential in this role. Think of examples where you've worked with different departments, such as product management or data science. Be ready to explain how you navigated challenges and ensured successful project outcomes through teamwork.
✨Understand the Company’s ML Vision
Research the company's current ML initiatives and be prepared to discuss how your experience aligns with their goals. Showing that you understand their vision and can contribute to it will set you apart from other candidates. Tailor your responses to reflect how you can help them achieve their objectives.
