At a Glance
- Tasks: Join an Agile team to implement Machine Learning algorithms in production systems.
- Company: Dynamic tech company based in London with a flexible and supportive culture.
- Benefits: Competitive salary up to £90k, enhanced maternity leave, and wellness perks.
- Other info: Great opportunities for career growth in a collaborative setting.
- Why this job: Make an impact by working with Python, ML, and AWS in a remote-friendly environment.
- Qualifications: Experience in backend development with Python and knowledge of Machine Learning.
The predicted salary is between 90000 - 90000 £ per year.
Client Server is seeking a Backend Software Engineer (Python, ML, AWS) to join their growing team in London. This role offers a competitive salary up to £90k plus benefits, including enhanced maternity leave and various wellness perks.
You will work collaboratively within an Agile team to implement Machine Learning algorithms into production systems. The company promotes a flexible working culture, allowing remote work and a supportive environment for career growth.
Senior Backend Engineer - Python, ML & AWS (Remote UK) in London employer: Client Server
Client Server is an excellent employer that values innovation and collaboration, offering a competitive salary and a range of benefits including enhanced maternity leave and wellness perks. With a flexible working culture and a strong focus on employee growth, this remote role allows you to thrive in a supportive environment while implementing cutting-edge Machine Learning solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Backend Engineer - Python, ML & AWS (Remote UK) 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 portfolio or GitHub repository showcasing your Python, ML, and AWS 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 common backend engineering questions and be ready to discuss your experience with Agile methodologies. Practice makes perfect, so consider mock interviews with friends or mentors.
✨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 get noticed by our hiring team!
We think you need these skills to ace Senior Backend Engineer - Python, ML & AWS (Remote UK) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, ML, 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 Agile Experience:Since we work in an Agile environment, mention any experience you have with Agile methodologies. We’re keen to know how you’ve collaborated with teams in the past and what tools you’ve used.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any updates from our team!
How to prepare for a job interview at Client Server
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with Python in detail, especially in relation to backend development and any Machine Learning projects you've worked on.
✨Showcase Your ML Knowledge
Prepare to talk about specific Machine Learning algorithms you've implemented. Think of examples where you've successfully integrated ML into production systems, as this will demonstrate your practical experience and problem-solving skills.
✨Familiarise Yourself with AWS
Since AWS is a key part of the role, ensure you understand its services relevant to backend engineering. Be prepared to discuss how you've used AWS in past projects, particularly in deploying applications or managing databases.
✨Embrace the Agile Mindset
As the company works within an Agile framework, be ready to discuss your experience in Agile teams. Share examples of how you've collaborated with others, adapted to changes, and contributed to continuous improvement in your previous roles.
