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- Tasks: Implement ML algorithms and develop backend solutions using Python.
- Company: Growing European car insurance tech company with a supportive international team.
- Benefits: Competitive salary up to £90k, remote work, and career progression.
- Other info: Friendly work culture with opportunities for professional growth.
- Why this job: Join a successful team and make an impact in the tech-driven insurance industry.
- Qualifications: Experience in Python development and machine learning implementation.
The predicted salary is between 90000 - 90000 £ per year.
Are you a data savvy Python Developer with experience of implementing ML algorithms into production? You could be progressing your career in a senior, hands-on role as part of a friendly and supportive international team at a growing and hugely successful European car insurance tech company as they expand their UK operations.
Python Developer Machine Learning AWS in London employer: Employer near you
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Employer near you Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Developer Machine Learning AWS in London
✨Tip Number 1
Network like a pro! Reach out to fellow developers and industry professionals on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your projects, especially those involving Python, machine learning, and AWS. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to Python and machine learning. Practice coding challenges to keep your skills sharp and ready for any test.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Python Developer Machine Learning AWS in London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your experience with Python in your application. We want to see how you've implemented ML algorithms and any projects you've worked on that showcase your coding prowess.
Tailor Your Application: Don’t just send a generic CV! We love it when applicants tailor their applications to the job description. Mention your experience with AWS and how it relates to the role – it’ll make you stand out!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read. Use bullet points if necessary to break down your skills and experiences.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy and ensures your application goes directly to us, so we can review it promptly!
How to prepare for a job interview at Employer near you
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially around data manipulation and machine learning libraries like Pandas and Scikit-learn. Be ready to discuss your past projects and how you've implemented ML algorithms in production.
✨Familiarise Yourself with AWS
Since the role involves AWS, it’s crucial to understand its services related to machine learning, such as SageMaker. Prepare to talk about how you've used AWS in previous projects and be ready for technical questions that test your knowledge.
✨Showcase Your Problem-Solving Skills
Be prepared to tackle coding challenges or case studies during the interview. Practice common algorithm problems and think aloud while solving them to demonstrate your thought process and problem-solving approach.
✨Cultural Fit Matters
This company values a friendly and supportive team environment. Research their culture and be ready to discuss how you can contribute positively to the team dynamics. Share examples of teamwork and collaboration from your past experiences.