Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build advanced backend systems using Go and support innovative projects in ML and containers.
- Company: Join a forward-thinking tech company in the heart of London.
- Benefits: Enjoy hybrid working, competitive pay, and opportunities for professional growth.
- Other info: 12+ month contract with excellent career advancement potential.
- Why this job: Make an impact in cutting-edge technology while working with a dynamic team.
- Qualifications: Experience in Go, Python, and familiarity with ML frameworks is essential.
The predicted salary is between 60000 - 80000 £ per year.
Tank have been engaged by a client to recruit a Contract Senior Go / Golang Engineer to support the delivery of advanced, production-grade systems.
12+ Month Contract
Hybrid working - London
Key Skills:
- Proven experience building backend or network-facing services using Go
- Strong Python skills, ideally within machine learning or computer vision environments
- Familiarity with frameworks such as PyTorch or TensorFlow (or a willingness to learn)
- Experience with containerisation and orchestration tools such as Docker or Kubernetes
- Comfortable working in Linux-based environments
- Solid understanding of version control best practices (e.g. Git)
If this opportunity is of interest, please apply or get in touch for more details.
Senior Go Engineer - Hybrid London | ML & Containers employer: Tank Recruitment
Contact Detail:
Tank Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Go Engineer - Hybrid London | ML & Containers
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech world, especially those who work with Go or in machine learning. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Go projects or any relevant work with Python and machine learning. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge. Be ready to discuss your experience with Docker, Kubernetes, and any frameworks like PyTorch or TensorFlow. Confidence in your skills will shine through!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals like you to join our community.
We think you need these skills to ace Senior Go Engineer - Hybrid London | ML & Containers
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Go and any relevant projects you've worked on. We want to see how your skills align with the job description, so don’t hold back on showcasing your backend or network-facing services!
Showcase Your Python Skills: Since strong Python skills are a must, include any machine learning or computer vision projects you've tackled. If you’ve used frameworks like PyTorch or TensorFlow, let us know – we love seeing that enthusiasm for learning!
Highlight Containerisation Experience: If you’ve worked with Docker or Kubernetes, make sure to mention it! We’re keen on candidates who are comfortable with containerisation and orchestration tools, so share any relevant experiences you have.
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 get to know you better. Don’t miss out on this opportunity – we can’t wait to hear from you!
How to prepare for a job interview at Tank Recruitment
✨Know Your Go
Make sure you brush up on your Go programming skills before the interview. Be ready to discuss your past projects and how you've built backend services using Go. They’ll likely want to hear about specific challenges you faced and how you overcame them.
✨Showcase Your Python Prowess
Since strong Python skills are a must, prepare to talk about your experience with machine learning or computer vision. If you’ve worked with frameworks like PyTorch or TensorFlow, be ready to share examples of how you used them in your projects.
✨Containerisation Know-How
Familiarise yourself with Docker and Kubernetes, as these tools are essential for this role. Be prepared to discuss how you’ve used containerisation in your previous work and any orchestration challenges you’ve tackled.
✨Version Control Savvy
Understanding version control is crucial, so make sure you can explain your experience with Git. Discuss how you manage branches, handle merges, and ensure code quality in collaborative environments.