Data/MLOps Engineer Role Summary
Data/MLOps Engineers are highly skilled professionals responsible for deploying tooling through cloud platforms, utilising new Large Language Models (LLMs) and building out new data pipelines. The ideal candidate will have experience in Python, SQL, Tableau, PowerBI, Terraform, AWS, and Azure.
Key Responsibilities:
* Deploy data engineering tooling through cloud platforms.
* Utilise LLMs to build and deploy models.
* Build and maintain data pipelines.
Job Requirements:
The successful candidate will have a strong background in software development, particularly with Python, SQL, and cloud-based technologies such as AWS and Azure. They should also have experience with data visualization tools like Tableau and PowerBI, as well as infrastructure as code tools like Terraform.
Benefits:
This role offers a hybrid working arrangement from the office, with 3 days per week spent working on-site. VISA sponsorship is not available for this role. Benefits include a competitive salary, plus bonus and additional perks. The hiring process involves two stages: an initial call with the manager and a final interview with the team.