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For Companies At a Glance
- Tasks: Build scalable cloud-based services and infrastructures for AI systems.
- Company: Join a cutting-edge computer vision scale-up in London.
- Benefits: Collaborate with experienced engineers and enjoy a dynamic work environment.
- Why this job: Be part of an innovative team shaping the future of AI technology.
- Qualifications: Strong Python backend experience and knowledge of microservices and databases required.
- Other info: EU work permit is necessary for this role.
The predicted salary is between 43200 - 72000 £ per year.
The Role
As a senior backend Python engineer for this computer vision scale-up, you will build highly scalable, data-intensive cloud-based services and infrastructures that power AI systems. You will be part of a multidisciplinary team responsible for system design through deployment. Your work will include building data pipelines, microservices, APIs, and web applications at scale. You will collaborate with experienced engineers willing to share their expertise.
About you
To succeed in this role, you should have:
- Strong backend engineering experience, preferably in Python.
- Experience building scalable microservices and data pipelines.
- Experience with SQL and NoSQL databases.
- Strong cloud environment experience.
- Excellent teamwork skills.
Senior Python Engineer – AI Unicorn – London Scale Up employer: Propel London
Contact Detail:
Propel London Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Python Engineer – AI Unicorn – London Scale Up
✨Tip Number 1
Familiarise yourself with the latest trends in AI and computer vision. Being knowledgeable about current technologies and frameworks will not only help you during interviews but also show your genuine interest in the field.
✨Tip Number 2
Network with professionals in the AI and Python engineering community. Attend meetups, webinars, or conferences to connect with others in the industry. This can lead to valuable insights and potential referrals for the position.
✨Tip Number 3
Prepare to discuss your previous projects in detail, especially those involving scalable microservices and data pipelines. Be ready to explain your thought process, challenges faced, and how you overcame them, as this demonstrates your problem-solving skills.
✨Tip Number 4
Showcase your teamwork skills by highlighting experiences where you collaborated with cross-functional teams. Emphasising your ability to work well with others will resonate with the company's focus on multidisciplinary collaboration.
We think you need these skills to ace Senior Python Engineer – AI Unicorn – London Scale Up
Some tips for your application 🫡
Understand the Role: Read the job description carefully to understand the specific requirements and responsibilities of the Senior Python Engineer position. Highlight your relevant experience in backend engineering, particularly with Python, microservices, and data pipelines.
Tailor Your CV: Customise your CV to reflect your skills and experiences that align with the job. Emphasise your backend engineering experience, cloud environment expertise, and any projects involving SQL and NoSQL databases.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and computer vision. Mention specific projects or achievements that demonstrate your ability to build scalable services and collaborate effectively within a team.
Proofread Your Application: Before submitting, thoroughly proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at Propel London
✨Showcase Your Python Expertise
Be prepared to discuss your experience with Python in detail. Highlight specific projects where you've built scalable applications or data pipelines, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate Your Understanding of Microservices
Since the role involves building microservices, make sure you can articulate the principles of microservices architecture. Discuss any relevant experience you have, including how you've designed, deployed, and maintained these services.
✨Familiarise Yourself with Cloud Technologies
Research the cloud platforms that the company uses. Be ready to discuss your experience with cloud environments, including any specific tools or services you've worked with, and how they relate to building scalable infrastructures.
✨Emphasise Team Collaboration
This role requires excellent teamwork skills, so prepare examples of how you've successfully collaborated with others in past projects. Highlight your ability to communicate effectively and share knowledge within a multidisciplinary team.
