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Python Pytorch GCP Optimisation Engineer

Lorien
Posted 13 hours ago, valid for 21 days
Location

London, Greater London EC1R 0WX

Salary

£40,000 - £48,000 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 role is for a Python Pytorch GCP Optimisation Engineer on a contract basis for a top global company.
  • Candidates must have a Bachelor's Degree in Computer Science, Software Engineering, or a related field, along with experience in optimizing machine learning workloads.
  • The position requires expertise in cloud platforms, particularly Google Cloud and Azure, and knowledge of distributed application architecture.
  • This is a hybrid role, requiring two days onsite, and will be inside IR35 regulations.
  • The contract duration is 8 months, with a competitive salary offered, though the specific amount is not mentioned.

Python Pytorch GCP Optimisation Engineer8 MonthsHybrid 2 Days onsite Inside IR35

My client a top Global company are currently looking to recruit a Python Pytorch GCP Optimisation Engineer to join their team on a contract basis. Please note if successful you will need to set up via an Umbrella Company/PAYE. A specialised research Data Platform represents a major investment by our clients Digital & Tech team, designed to deliver a step-change in ability to leverage data, knowledge, and prediction to find new medicines. This is a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms.

Key skills and experience for the Python Pytorch GCP Optimisation Engineer:

  • Optimize reproducibility and performance of large-scale data and machine learning workloads for critical AI/ML projects
  • Rapidly prototype solutions and refine towards platforming and production
  • Supports optimizations and application integration with programme Platform
  • Bachelor's Degree in Computer Science, Software engineering or related field
  • Knowledge of distributed application architecture, design, implementation and performance tuning
  • Cloud experience (Google Cloud & Azure) with networking, storage, containers, and serverless
  • Experience running compute workloads on HPC and/or specialized compute, storage, and networking appliances
  • Experience with ML frameworks such as PyTorch or TensorFlow
  • GKE experience a plus

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.