Remote Backend Engineer – Python, ML & AWS in London

Remote Backend Engineer – Python, ML & AWS in London

London Full-Time 80000 - 90000 £ / year (est.) Working from home possible
Client Server Ltd.

At a Glance

  • Tasks: Implement machine learning algorithms and work on complex insurance projects.
  • Company: Join Client Server Ltd., a dynamic international tech team.
  • Benefits: Earn up to £90k, enjoy generous holidays and wellness sessions.
  • Other info: Great career growth opportunities in a supportive culture.
  • Why this job: Make an impact in a flexible, agile environment with cutting-edge technology.
  • Qualifications: Experience in Python, machine learning, and AWS is essential.

The predicted salary is between 80000 - 90000 £ per year.

Client Server Ltd. is seeking a Backend Software Engineer / Developer (Python Machine Learning AWS) to join their international team. You'll work on complex insurance projects, implementing machine learning algorithms into production while collaborating in a flexible, agile environment.

The role offers a competitive salary of up to £90k, enhanced maternity package, generous holiday allowance, and benefits including private medical insurance and wellness sessions.

Remote Backend Engineer – Python, ML & AWS in London employer: Client Server Ltd.

Client Server Ltd. is an excellent employer that fosters a collaborative and innovative work culture, allowing Backend Engineers to thrive in a flexible, agile environment. With a competitive salary package, enhanced maternity benefits, generous holiday allowance, and a focus on employee wellness, this role offers meaningful opportunities for professional growth while working on cutting-edge machine learning projects in the insurance sector.

Client Server Ltd.

Contact Details:

Client Server Ltd. Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Remote Backend Engineer – Python, ML & AWS in London

Tip Number 1

Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can refer you directly.

Tip Number 2

Show off your skills! Create a GitHub repository showcasing your Python and machine learning projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.

Tip Number 3

Prepare for those interviews! Brush up on your technical skills and be ready to discuss how you've implemented machine learning algorithms in past projects. Practice common interview questions to boost your confidence.

Tip Number 4

Apply through our website! We make it easy for you to find roles that match your skills. Plus, it shows you're genuinely interested in joining our team. Don't miss out on this opportunity!

We think you need these skills to ace Remote Backend Engineer – Python, ML & AWS in London

Python
Machine Learning
AWS
Agile Methodologies
Collaboration
Software Development
Problem-Solving Skills

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with Python, machine learning, and AWS. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how you can contribute to our team. Keep it concise but engaging – we love a bit of personality!

Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex problems in the past, especially in relation to machine learning or backend development. We’re all about innovative solutions, so let us see your thought process!

Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the best experience possible. Plus, it shows you’re keen on joining our team!

How to prepare for a job interview at Client Server Ltd.

Know Your Tech Stack

Make sure you’re well-versed in Python, machine learning concepts, and AWS services. Brush up on specific libraries and frameworks that are relevant to the role, as you might be asked to discuss how you've used them in past projects.

Showcase Your Problem-Solving Skills

Prepare to discuss complex problems you've tackled in previous roles, especially those involving machine learning algorithms. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your thought process.

Understand the Insurance Domain

Familiarise yourself with the insurance industry and how machine learning is being applied within it. This will not only show your interest in the field but also help you relate your technical skills to real-world applications during the interview.

Ask Insightful Questions

Prepare thoughtful questions about the team dynamics, project methodologies, and the company’s approach to innovation. This demonstrates your enthusiasm for the role and helps you gauge if the company culture aligns with your values.