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GCP ML Engineer with Computervision Imaging experience

Lorien
Posted 7 hours ago, valid for 13 days
Location

London, Greater London EC1R 0WX

Salary

£32,000 - £38,400 per annum

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Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • The position is for a Machine Learning Engineer specializing in GCP Cloud and Computer Vision Imaging, offered on a 3-month hybrid contract basis with 2 days per week onsite work.
  • Candidates must have professional experience in data/software engineering, particularly with GCP Cloud and Computer Vision Imaging, and a strong background in machine learning.
  • The role involves migrating unstructured datasets between on-prem and cloud locations, ensuring data consistency, and developing scalable data pipelines.
  • Applicants should have advanced programming skills in Python and experience with large-size images and data formats for computational pathology.
  • The salary for this position is competitive and falls inside IR35 regulations, with a requirement of at least 3 years of relevant experience.

Machine Learning Engineer - GCP and Computer Vision Imaging 3 MonthsHybrid Working with 2 Days Per Week onsiteInside 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.

Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.

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In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.