GCP Machine Learning Engineer
3 weeks ago
Machine Learning Engineer – GCP and Computer Vision Imaging 3 Months
Hybrid Working with 2 Days Per Week onsite
Inside IR35
My client a top Global company are currently looking to recruit a Machine Learning Engineer with GCP Cloud and Computer Vision Imaging experience to join their team on a contract basis. Please note if successful you will need to set up via an Umbrella Company/PAYE. The successful Machine Learning Engineer with GCP Cloud and Computer Vision Imaging experience will execute migration of raw and derived unstructured datasets (images, videos, etc) between on-prem and cloud data locations (e.g. GCP, Azure, AWS). Datasets magnitude vary between small scale (Gb) up to large scale (Tb).
In this role the Machine Learning Engineer with GCP Cloud and Computer Vision Imaging experience will:
Execute migration of raw and derived unstructured datasets (images, videos, etc) between on-prem and cloud data locations (e.g. GCP, Azure, AWS). Datasets magnitude vary between small scale (Gb) up to large scale (Tb).
Ensure consistency between the data ingested and the data manifests.
Organise raw and derived data into appropriate hierarchies.
Collaborate with AI/ML engineers and product managers to
Develop data pipelines for incoming batch data and update existing pipelines where necessary.
Design and implement well decoupled, modularized, reusable, and scalable scripts and code for the retrieval and pre-processing of large-scale histopathology images into the AI/ML pipeline (i.e. each one with order of magnitude of gigabytes)
Document data flows and ingestion pipelines, data use and re-use
Implement data flows to connect operational systems, data for analytics and business intelligence (BI) systems (e.g. Power-BI)
Ensure completion of requisite documentation i.e. ingestion form and any related documentation
Track & report completion of data migration to stakeholders and raise blockers preventing migration.
Migrate ML pipelines from on-prem HPC solutions to the cloud.
Migrate ML pipelines between cloud environments and across cloud computing providers.
Optimise and parallelise said ML pipelines for scalability, speed and cost efficiency.
We are looking for professionals with these required skills to achieve our goals:
Experience as a professional data/software engineer.
Experience of GCP Cloud and Computer Vision Imaging is essential.
Experience of the following: Migrate ML pipelines from on-prem HPC solutions to the cloud; Migrate ML pipelines between cloud environments and across cloud computing providers; and Optimise and parallelise said ML pipelines for scalability, speed and cost efficiency.
Experience with large-size images and data formats for computational pathology (e.g. .svs, .tiff, .h5) is highly desirable
Advanced programming expertise in Python and in developing and delivering robust software solutions.
Machine learning experience / background
CICD experience
Expert level and industrial experience in design, development and deployment of data engineering pipelines.
Experience with cloud platforms, such as Google Cloud Platform, Azure, AWS (preference GCP)
Experience in handling big data at scale.
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