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- Tasks: Join a dynamic team to develop cutting-edge AI products using Python and machine learning.
- Company: Be part of an innovative company focused on impactful AI solutions.
- Benefits: Enjoy hybrid work options and a collaborative culture with autonomy.
- Why this job: Shape the future of AI technology while working in a supportive environment.
- Qualifications: 5+ years in software engineering with strong Python and backend skills required.
- Other info: Ideal for those with leadership potential looking to make significant technical decisions.
The predicted salary is between 46800 - 78000 £ per year.
Im looking for a Python Engineer who’s passionate about machine learning, AI, and building production ready systems. You'll be joining a small, high impact team working on cutting edge AI products. Lots of autonomy, but also a strong culture of collaboration and best practices (Code Reviews, Testing, CI/CD, Kubernetes, AWS).
Tech Stack:
- Python (Flask, Django)
- Machine Learning/AI
- SQLAlchemy, NumPy
- AWS, Kubernetes, CI/CD
What we're looking for:
- 5+ years experience in software engineering
- Strong Python + backend experience
- Passion for machine learning/AI
You'll be trusted to make real technical decisions and help shape the future of the product. If you have leadership potential, this could be the role for you.
Drop me a message if you are interested.
Python and AI Engineer employer: SR2 | Socially Responsible Recruitment | Certified B Corporation™
Contact Detail:
SR2 | Socially Responsible Recruitment | Certified B Corporation™ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python and AI Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning and AI. Being able to discuss recent advancements or projects you've worked on can really impress during interviews.
✨Tip Number 2
Showcase your experience with Python frameworks like Flask and Django. Be prepared to discuss specific projects where you utilised these technologies, as practical examples can set you apart.
✨Tip Number 3
Highlight your experience with CI/CD practices and tools like Kubernetes and AWS. Understanding how to deploy and manage applications in a cloud environment is crucial for this role.
✨Tip Number 4
Demonstrate your collaborative skills by discussing past experiences where you contributed to team projects. Emphasising your ability to work well in a team will resonate with the company's culture.
We think you need these skills to ace Python and AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, machine learning, and AI. Include specific projects or roles where you've used Flask, Django, or worked with AWS and Kubernetes.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and machine learning. Mention how your background aligns with the company's needs and your enthusiasm for working in a collaborative environment.
Showcase Relevant Projects: If you have any personal or professional projects that demonstrate your skills in Python and AI, include them in your application. This could be GitHub repositories or links to live projects.
Highlight Leadership Experience: If you have leadership potential, make sure to mention any previous roles where you led a team or made significant technical decisions. This will show your capability to shape the future of the product.
How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B Corporation™
✨Showcase Your Python Skills
Make sure to highlight your experience with Python, especially in frameworks like Flask and Django. Be prepared to discuss specific projects where you've implemented these technologies and how they contributed to the success of the project.
✨Demonstrate Your Passion for AI
Since the role focuses on machine learning and AI, share examples of your work in this area. Discuss any relevant projects, algorithms you've worked with, or innovations you've contributed to that showcase your enthusiasm and expertise.
✨Emphasise Collaboration and Best Practices
Given the strong culture of collaboration, be ready to talk about your experiences with code reviews, testing, and CI/CD processes. Highlight how you’ve worked effectively in teams and contributed to maintaining high standards in software development.
✨Prepare for Technical Decision-Making Questions
As the role involves making technical decisions, expect questions that assess your problem-solving skills and decision-making process. Think of scenarios where you had to make significant choices in your projects and be ready to explain your reasoning.
