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- Tasks: Scale product and systems while developing real-time APIs and data pipelines.
- Company: Rapidly growing AI firm in the UK with a focus on innovation.
- Benefits: Competitive salary, mentorship opportunities, and hands-on engineering experience.
- Why this job: Influence the engineering foundation of cutting-edge AI products.
- Qualifications: Senior engineering experience in a scale-up environment and mentoring skills.
- Other info: Join a dynamic team and make a significant impact in AI technology.
The predicted salary is between 43200 - 72000 £ per year.
A rapidly growing AI firm in the United Kingdom seeks a Senior Engineer to play a key role in scaling product and systems. You will work closely with the Head of Platform to deliver vital parts of the core product stack, including real-time APIs and data pipelines.
The ideal candidate has senior engineering experience in a scale-up environment and excels in mentoring engineers. This role offers an opportunity to influence the engineering foundation while staying hands-on.
Senior Engineer, Platform & ML Analytics (Scale-Up) in London employer: permutable.ai
Contact Detail:
permutable.ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Engineer, Platform & ML Analytics (Scale-Up) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and engineering 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 projects, especially those related to real-time APIs and data pipelines. This is your chance to demonstrate your hands-on experience and how you can influence the engineering foundation of a scale-up.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of ML analytics and system scaling. We recommend practising coding challenges and discussing your past experiences in mentoring engineers. It’s all about showing you’re the right fit for the team!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to engage directly with us. Let’s get you on board to help scale our product and systems!
We think you need these skills to ace Senior Engineer, Platform & ML Analytics (Scale-Up) in London
Some tips for your application 🫡
Show Off Your Experience: When you're writing your application, make sure to highlight your senior engineering experience, especially in a scale-up environment. We want to see how you've tackled challenges and contributed to scaling products and systems.
Be Specific About Your Skills: Don’t just list your skills; give us examples of how you've used them in real projects. If you've worked on real-time APIs or data pipelines, tell us about it! We love seeing concrete evidence of your expertise.
Mentorship Matters: Since mentoring is a key part of this role, share any experiences you have in guiding other engineers. We’re looking for someone who can help grow our team, so let us know how you've done this in the past.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at permutable.ai
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially around real-time APIs and data pipelines. Brush up on your knowledge of machine learning analytics as well, as this will show your potential employer that you’re not just a fit for the role but also passionate about the field.
✨Showcase Your Mentoring Skills
Since the role involves mentoring engineers, be prepared to discuss your past experiences in guiding and developing team members. Share specific examples of how you’ve helped others grow in their careers, as this will demonstrate your leadership capabilities and commitment to fostering a collaborative environment.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Practice solving problems on the spot, as this will highlight your analytical skills and ability to think critically under pressure. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
✨Understand the Company’s Vision
Research the company’s mission and recent projects. Being able to articulate how your skills align with their goals will set you apart from other candidates. Show enthusiasm for their work in AI and how you can contribute to scaling their product and systems.
