Machine Learning Engineer

Machine Learning Engineer Location: Hybrid (1-2 office days in London) About the Opportunity: We are seeking a skilled ML Engineer to join a dynamic and rapidly growing specialist insurance business. This is a pivotal role where you will contribute significantly to the development and deployment of data science applications. The ideal candidate will bring a strong software engineering background, a passion for reliability and testing, and experience in microservices architecture. Key Responsibilities: 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. Who You Are: The ideal candidate will have: 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. Why Consider This Opportunity? Competitive salary range of £50,000 to £75,000, 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. If you think you could be a good fit for this role and you have the relevant skills needed to become a successful Machine Learning Engineer, send your CV across ASAP!