- Hands-on experience in Cloud Data Engineering and scalable cloud data platform development.
- Practical experience with LLMs and LLM-based use cases, including optimisation and implementation.
- Strong understanding of insurance domain data models, business processes, and data governance.
- Experience with MLflow for experiment tracking, model registry, and machine learning deployment.
- Proficiency in unit testing, Git, CI/CD pipelines, and production deployment.
- Experience deploying and maintaining cloud-based data and AI solutions.
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Machine Learning Engineer (MLflow/Cloud AI/GenAI/LLM/MLOPS/AI) in City of Westminster employer: GIOS Technology Limited
As a leading employer in the tech sector, we offer a dynamic work environment that fosters innovation and collaboration. Our hybrid model across major UK cities allows for flexibility while providing access to cutting-edge projects in observability and data engineering. We prioritise employee growth through continuous learning opportunities and a culture that values diverse expertise, making us an ideal choice for professionals seeking meaningful and impactful careers.
