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- Develop and deploy machine learning models into production environments.
- Maintain and enhance existing applications and data pipelines.
- Collaborate closely with the Data Science team to deliver high-value solutions.
- Ensure high-quality, robust, and tested code that serves model predictions effectively.
- Focus on microservices architecture to achieve high volume and low latency performance.
- Implement and manage Continuous Integration and Continuous Deployment (CI/CD) processes.
- Support the Data Science team by taking on technical tasks as required.
- 3+ years of experience in ML, Software Engineering, or MLOps.
- Demonstrable experience in microservices architecture, particularly in high volume, low latency environments.
- Strong Python programming skills and experience with Python web frameworks.
- Proven experience in testing and CI/CD practices.
- Experience with Kubernetes (K8) for container orchestration.
- Familiarity with Docker, with the ability to pick it up quickly.
- A solid foundation in software engineering, with a strong coding background.
- A strong focus on reliability and testing, committed to delivering high-quality solutions.
- Competitive salary range of £65,000 to £80,000, depending on experience
- Be part of a rapidly expanding team with significant opportunities for growth and innovation.
- Work in a flexible, hybrid environment that values a proactive attitude.
- Contribute to a leading business reshaping the insurance landscape.
- Become part of a collaborative team culture that values diverse perspectives and recognises individual contributions.
