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- Tasks: Lead the development of a next-gen pricing engine using Python and cloud technologies.
- Company: Dynamic tech firm in London focused on innovative insurance solutions.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a collaborative team with a focus on best practices and cutting-edge technology.
- Why this job: Take ownership of exciting projects and make a real impact in the tech industry.
- Qualifications: 5+ years of Python experience and strong cloud engineering skills.
The predicted salary is between 70000 - 90000 £ per year.
We are hiring a Senior MLOps / Python Cloud Engineer.
The project centres on building a next-generation parametric pricing engine, taking a robust Python prototype and transforming it into a production-grade, cloud-deployed service integrated with the client's core insurance platform. This is a hands-on technical role with real ownership. You will be the lead engineer on the ground making key architectural decisions, building cloud infrastructure from scratch, and driving best practices across the project.
- Build API and integration layers enabling two-way communication.
- Set up and manage CI/CD pipelines to support safe, continuous deployment of model updates and hotfixes.
- Define and implement structured data input/output flows, replacing a manual Excel-based trigger with a proper API-driven process.
- Support configuration of new features in the client's platform including data fields, parameters, and UI elements.
Must have skills:
- 5+ years of hands-on Python development, producing clean, maintainable code.
Senior Python Engineer employer: Espire Infolabs
Contact Detail:
Espire Infolabs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Python Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. 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 showcasing your Python projects, especially those related to MLOps or cloud engineering. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding cloud infrastructure. Practice common interview questions and scenarios that relate to building APIs and CI/CD pipelines.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to highlight your experience with Python and cloud technologies to catch our eye.
We think you need these skills to ace Senior Python Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python experience and any relevant MLOps skills. We want to see how your background aligns with the role, so don’t be shy about showcasing your 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 your skills can help us build that next-gen pricing engine. Keep it engaging and personal.
Showcase Your Projects: If you've worked on any cool projects, especially those involving cloud infrastructure or CI/CD pipelines, make sure to mention them. We love seeing practical examples of your work and how you’ve tackled challenges.
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’s super easy!
How to prepare for a job interview at Espire Infolabs
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your past projects and how you've used Python to solve complex problems. They’ll likely ask you to demonstrate your coding abilities, so practice writing clean, efficient code under time constraints.
✨Understand MLOps Fundamentals
Since this role involves MLOps, it’s crucial to have a solid grasp of machine learning operations. Familiarise yourself with CI/CD pipelines, model deployment, and monitoring. Be prepared to discuss how you’ve implemented these practices in previous roles and how they can be applied to the new project.
✨Showcase Your Cloud Knowledge
This position requires building cloud infrastructure from scratch, so make sure you’re well-versed in cloud platforms like AWS, Azure, or Google Cloud. Be ready to talk about your experience with cloud services and how you’ve leveraged them in past projects to enhance scalability and performance.
✨Prepare for Architectural Discussions
As the lead engineer, you’ll need to make key architectural decisions. Think about the design patterns and best practices you’ve used in previous projects. Be prepared to discuss your thought process behind architectural choices and how they align with the project’s goals.