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- Tasks: Build advanced systems using Go and Python, focusing on backend development and machine learning.
- Company: Leading recruitment firm with exciting client projects in London.
- Benefits: Hybrid working model, competitive contract rate, and opportunity to work with cutting-edge tech.
- Why this job: Join a dynamic team and enhance your skills in backend and ML technologies.
- Qualifications: Experience in Go, Python, backend services, and familiarity with Docker and Kubernetes.
- Other info: 12+ month contract with potential for career growth.
The predicted salary is between 60000 - 80000 £ per year.
A leading recruitment firm is seeking a Contract Senior Go/Golang Engineer to join a client in London. This role involves building advanced, production-grade systems with a focus on Go and Python.
The ideal candidate will have experience in:
- Backend service development
- Familiarity with machine learning frameworks like PyTorch
- Containerization skills using Docker and Kubernetes
The position offers a hybrid working model and is a 12+ month contract.
Senior Go Engineer - Backend & ML Python (Hybrid, London) employer: Tank Recruitment
Contact Detail:
Tank Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Go Engineer - Backend & ML Python (Hybrid, London)
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with Go or Python. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your projects in Go and Python. This gives potential employers a sneak peek into your coding style and problem-solving abilities, making you stand out from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your backend service development knowledge. Practice common algorithms and data structures, and be ready to discuss your experience with machine learning frameworks like PyTorch.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented engineers like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior Go Engineer - Backend & ML Python (Hybrid, London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Go and Python, especially in backend service development. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this Senior Go Engineer role. Mention your familiarity with machine learning frameworks and containerization tools like Docker and Kubernetes.
Showcase Your Projects: If you've worked on any advanced systems or have experience with production-grade applications, make sure to mention them. We love seeing real-world examples of your work that demonstrate your expertise!
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 important updates during the process!
How to prepare for a job interview at Tank Recruitment
✨Know Your Tech Stack
Make sure you’re well-versed in Go and Python, as these are key for the role. Brush up on your backend service development skills and be ready to discuss your experience with machine learning frameworks like PyTorch.
✨Showcase Your Containerization Skills
Since containerization is crucial for this position, be prepared to talk about your experience with Docker and Kubernetes. Maybe even share a project where you successfully implemented these technologies.
✨Prepare for Technical Questions
Expect some technical questions that will test your problem-solving abilities. Practice coding challenges or system design scenarios related to backend development to show off your skills.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team’s current projects or the company’s approach to machine learning. This shows your genuine interest and helps you gauge if it’s the right fit for you.