Machine Learning Engineer (MLflow/Cloud AI/GenAI/LLM/MLOPS/AI)

GIOS Technology; City of Westminster; On-site; GBP 60,000 - 90,000; Full time

Job summary

GIOS Technology Limited is seeking a skilled data engineer to drive cloud data platforms and scalable solutions in the insurance domain. The role emphasizes hands-on cloud data engineering, LLM-enabled use cases, and robust data governance.

Applicants should be proficient with MLflow for experiment tracking and model deployment, and comfortable with Git, CI/CD pipelines, and production deployment of cloud-based data and AI solutions.

Qualifications

• Hands-on experience in cloud data engineering and scalable cloud data platforms.
• 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.

Skills

Cloud Data Engineering

LLMs & use cases

Data governance

Insurance domain data models

Tools

MLflow

Git

CI/CD pipelines

Job description

• 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.