Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and develop intelligent systems using Python and AI technologies.
- Company: Join Canopius, a leading global specialty lines (re)insurer with a positive culture.
- Benefits: Enjoy hybrid working, competitive salary, health cover, and a supportive work environment.
- Why this job: Make an impact by building scalable AI services in a dynamic team.
- Qualifications: Strong Python skills and experience with API development and cloud platforms.
- Other info: Flexible working model with excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a skilled and motivated Senior Developer with strong Python expertise to design, develop, and deploy intelligent systems. You will be responsible for building scalable services and ensuring seamless delivery of AI-powered features across our platforms.
Responsibilities will include:
- Develop robust service logic to expose AI models via RESTful APIs (e.g., using FastAPI or Flask).
- Collaborate with data scientists, engineers, and product teams to translate business requirements into technical solutions.
- Work within Azure cloud infrastructure, leveraging containerised environments for scalable deployment.
- Support model lifecycle management using tools like Databricks Mosaic AI and AI Foundry, ensuring robust governance, traceability, and performance monitoring across environments.
- Implement data preprocessing pipelines and feature engineering workflows.
- Ensure secure, scalable, and maintainable codebases using best practices.
- Monitor deployed models and services, and iterate based on performance metrics and feedback.
- Maintain documentation and testing coverage for all developed components.
Skills and experience:
- Strong proficiency in Python, including OOP and functional programming.
- Solid understanding of API development and service logic (FastAPI, Flask).
- Familiarity with data manipulation libraries (Polars, Pandas, NumPy).
- Experience with model deployment and serialization (Joblib, Pickle, TorchScript).
- Experience with LangChain and other open-source frameworks for building AI agents and orchestration pipelines.
- Knowledge of software engineering principles, version control (Git), and testing (Unittest, Pytest).
- Understanding of security practices in API development (authentication, input validation).
- Exposure to cloud platforms (Azure) and containerization tools (Docker).
- Ability to work in agile environments and communicate effectively with cross-functional teams.
This will include the competencies:
- Stakeholder engagement: Works closely with product teams, data scientists, and engineers to translate business requirements into technical solutions and ensure seamless delivery of AI-powered features across platforms.
- Collaboration and teamwork: Collaborates effectively within cross-functional and agile teams, contributing to shared design, development, deployment, and monitoring of intelligent systems and services.
- Adapting to change: Operates effectively in agile environments, iterating on deployed models and services based on performance metrics, feedback, and evolving requirements.
- Continuous Improvement: Monitors model and service performance and iterates on solutions to improve reliability, scalability, governance, and maintainability across environments.
- Innovation: Designs and develops intelligent systems and AI-powered services, leveraging modern frameworks, cloud infrastructure, and orchestration tools to deliver scalable solutions.
- Resilience: Manages the full lifecycle of AI services, including deployment, monitoring, testing, documentation, and ongoing support, maintaining quality and stability in production environments.
- Future Focused: Builds scalable, secure services aligned to long-term platform needs by leveraging cloud-native technologies, containerised deployments, and robust model lifecycle management practices.
About Us
Our benefits: We offer all employees a comprehensive benefits package that focuses on their whole wellbeing. This includes hybrid working, a competitive base salary, non-contributory pension, discretionary bonus, insurances including health (family) and dental cover, and many other benefits to enhance financial, physical, social and psychological health.
About Canopius: Canopius is a global specialty lines (re)insurer. We are one of the leading insurers in the Lloyd’s of London insurance market with offices in the UK, US, Singapore, Australia and Bermuda. At Canopius we foster a distinctive, positive culture which enables us to bring our whole selves to work to flourish as people, and build a business which delivers profitable, sustainable results. Based in incredible new offices in the heart of the City of London, Canopius operates a flexible, hybrid working model and is committed to providing an environment that challenges employees to be their best and where everyone's unique contributions are recognised, valued and respected.
We are fully committed to equal employment opportunities for all applicants and providing employees with a work environment free of discrimination and harassment. All employment decisions are made regardless of age, sex, gender identity, ethnicity, disability, sexual orientation, socio-economic background, religion or beliefs, marital or caring status, or any other status protected by the laws or regulations in the locations where we operate. We encourage and welcome applicants from all diverse backgrounds. We make reasonable adjustments throughout the recruitment process and during employment. Please let us know if you require any information in an alternate format or any other reasonable adjustments.
Senior Developer - Python in Manchester employer: Canopius
Contact Detail:
Canopius Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Developer - Python in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online communities. 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 involving AI and APIs. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to Python, API development, and cloud services. Practise coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Canopius.
We think you need these skills to ace Senior Developer - Python in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python expertise and relevant experience. We want to see how your skills align with the responsibilities listed in the job description, so don’t hold back on 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 the role and how your background makes you a perfect fit for our team. Let us know what drives you and how you can contribute to our mission.
Showcase Your Projects: If you've worked on any projects that demonstrate your skills in Python, API development, or AI systems, make sure to mention them. We love seeing real-world applications of your work, so include links or descriptions of your projects!
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 – just follow the prompts and submit your materials!
How to prepare for a job interview at Canopius
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially OOP and functional programming. Be ready to discuss your experience with libraries like Pandas and NumPy, as well as your approach to API development using FastAPI or Flask.
✨Showcase Your Collaboration Skills
Since the role involves working closely with data scientists and product teams, prepare examples of how you've successfully collaborated in the past. Highlight any agile projects where you contributed to shared goals and how you adapted to changing requirements.
✨Demonstrate Your Cloud Knowledge
Familiarise yourself with Azure cloud infrastructure and containerisation tools like Docker. Be prepared to discuss how you've leveraged these technologies in previous roles, particularly in deploying scalable services and managing model lifecycles.
✨Prepare for Technical Challenges
Expect technical questions or coding challenges during the interview. Practice solving problems related to service logic, data preprocessing pipelines, and model monitoring. This will help you demonstrate your problem-solving skills and technical expertise effectively.
