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- Tasks: Build production-grade systems and design APIs in a dynamic AI-focused environment.
- Company: Exciting AI delivery company with a talented team and collaborative culture.
- Benefits: Fully remote work, competitive salary, and opportunities for professional growth.
- Other info: Be part of a growing team with real impact on innovative projects.
- Why this job: Join a well-funded team shaping the future of AI and software development.
- Qualifications: Strong Python skills, experience with APIs, and a passion for engineering.
The predicted salary is between 60000 - 80000 £ per year.
A small and talented team of engineers, data scientists, and AI specialists are quietly building something exciting. Well-backed and operating in the AI delivery space, they partner with PE backed businesses to solve complex technical and analytical problems - taking ideas from early concept through to production-grade systems. They're still early enough that the engineering culture, ways of working, and technical direction are being shaped. With a team of around 15 today and plans to grow to 50 over the next 12 months, the foundations being laid now will matter.
You'll join as a Senior Software Engineer, taking ownership of building production-grade systems (not just prototypes) in an environment where AI isn't a side project, it's central to what's being delivered. The work is varied and delivery-focused. You might be designing APIs one week, thinking through async processing and scale the next, and then helping shape how something is deployed, monitored, and improved in production - often in real client environments. It's not about knowing everything on day one. It's about being curious and pro-active to learn and evolve.
What we're looking for:
- Strong Python experience, particularly with asynchronous or distributed systems
- Solid experience building APIs and backend services
- Good understanding of cloud environments (Azure preferred), CI/CD, and deployment
- Experience building and shipping systems used in real-world environments (ideally client-facing or delivery-led)
- Someone who enjoys the craft of engineering, not just shipping code, but building things properly
- A genuine interest in AI and how it's shaping modern software development
Why this role:
- Fully remote across the UK
- Early-stage, but well-funded and already delivering real projects
- A chance to influence how things are built as the team scales
- Work that balances pace with quality, no endless POCs that go nowhere
If you're an engineer who reads about new tech out of curiosity, and you like the idea of being part of a team still figuring things out, this would be a great fit.
Locations
Senior Python Software Engineer in Cheshire, Warrington employer: Spectrum IT Recruitment Limited
Contact Detail:
Spectrum IT Recruitment Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Python Software Engineer in Cheshire, Warrington
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech world, especially those who work in AI or software engineering. 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 portfolio showcasing your Python projects, especially those involving APIs or cloud environments. This gives potential employers a taste of what you can do and how you approach real-world problems.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of asynchronous systems and deployment strategies. Be ready to discuss how you've tackled challenges in past projects, as this will show your problem-solving skills and curiosity.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior Python Software Engineer in Cheshire, Warrington
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your strong Python experience and any work with asynchronous or distributed systems. We want to see how you’ve built production-grade systems, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your personality and passion for AI and software engineering. Share why you’re excited about this role and how you can contribute to our team. Keep it concise but engaging – we love a good story!
Showcase Your Projects: If you've worked on relevant projects, especially those involving APIs or cloud environments, make sure to mention them. We’re interested in real-world applications, so include links or descriptions of your work that demonstrate your engineering craft.
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’re considered for the role. Plus, it shows us you’re proactive and keen to join our team!
How to prepare for a job interview at Spectrum IT Recruitment Limited
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially around asynchronous and distributed systems. Be ready to discuss your past projects where you've built APIs and backend services, as this will show your hands-on experience.
✨Show Your Curiosity
This role values a proactive attitude towards learning. Prepare to talk about how you've kept up with new technologies and trends in AI and software development. Share examples of how you've applied this knowledge in real-world scenarios.
✨Understand the Cloud
Familiarise yourself with cloud environments, particularly Azure, as well as CI/CD processes. Be prepared to discuss how you've deployed and monitored applications in production, highlighting any challenges you faced and how you overcame them.
✨Emphasise Quality Over Quantity
In your interview, convey your passion for building robust systems rather than just shipping code. Discuss your approach to engineering and how you ensure quality in your work, as this aligns with the company's focus on delivery-led projects.