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- Tasks: Lead a team in backend engineering and machine learning infrastructure.
- Company: Leading tech firm in London with a focus on innovation.
- Benefits: Hybrid working model, competitive benefits, and career growth opportunities.
- Why this job: Join a talented team and make an impact in ML technology.
- Qualifications: 6+ years in backend engineering and 1-3 years in leadership.
- Other info: Dynamic environment with a focus on system design and architecture.
The predicted salary is between 48000 - 72000 £ per year.
A leading technology firm in London is seeking a hands-on ML Platform Engineering Manager to lead a small team focusing on backend engineering and machine learning infrastructure. The ideal candidate will possess over 6 years of backend experience, including 1-3 years in leadership, while maintaining a strong technical role in system design and architecture. This position offers a hybrid working model, competitive benefits, and the opportunity to work with a talented, distributed team.
Hands-on ML Platform Lead – Hybrid London employer: Aptonet
Contact Detail:
Aptonet Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hands-on ML Platform Lead – Hybrid London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work in machine learning or backend engineering. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects and contributions in backend engineering and ML infrastructure. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and leadership questions. We recommend practising with a friend or using mock interview platforms to get comfortable discussing your experience and vision for leading a team.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our platform.
We think you need these skills to ace Hands-on ML Platform Lead – Hybrid London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your backend engineering experience and any leadership roles you've had. We want to see how your skills align with the ML Platform Lead position, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about machine learning and how your hands-on experience makes you the perfect fit for our team. Let us know what excites you about this role!
Showcase Your Technical Skills: Don’t forget to include specific examples of your technical expertise in system design and architecture. We love seeing how you’ve tackled challenges in the past, so share those stories that demonstrate your problem-solving abilities.
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 gives you a chance to explore more about our company culture!
How to prepare for a job interview at Aptonet
✨Know Your Tech Inside Out
Make sure you brush up on your backend engineering skills and machine learning infrastructure. Be ready to discuss specific projects you've worked on, the technologies you used, and how you tackled challenges. This will show that you're not just a leader but also hands-on and technically savvy.
✨Showcase Your Leadership Style
Prepare to talk about your leadership experience. Think of examples where you successfully led a team, resolved conflicts, or mentored junior engineers. This will help demonstrate your ability to manage a small team effectively while still being involved in the technical side.
✨Understand the Company Culture
Research the company’s values and culture. Be ready to explain how your personal values align with theirs. This is especially important in a hybrid working model, as they’ll want to see how you can contribute to a positive team dynamic, even when working remotely.
✨Ask Insightful Questions
Prepare thoughtful questions about the role, the team, and the company's future projects. This shows your genuine interest in the position and helps you assess if it’s the right fit for you. Questions about their current ML projects or team dynamics can spark engaging conversations.
