Machine Learning Engineer – Hybrid Working

Oliver Bernard
London
3 weeks ago
Applications closed

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Location: London, EC4N 6AP 🌎

Working Arrangements: 2-3 days per week in office

Salary: £50,000 - £70,000

Industry: SaaS

Tech Stack: Python, scikit-learn, Kubernetes, AWS 👩🏻‍💻


Great opportunity for a talented ML Engineer (Python, scikit-learn, Kubernetes, AWS) to join an AI driven SaaS platform for the publishing industry.


The Company🚀


Market leading business that works with publishing giants such as The Times and The Guardian. Their AI driven SaaS platform enables the automation of their social media and email outreach campaigns.


The Role✨


They are seeking a Machine Learning Engineer (Python, scikit-learn, Kubernetes, AWS) to build out their business-critical platform.


You will be expected to work end-to-end across their ML (Python, scikit-learn, Kubernetes, AWS) platform and will be afforded a considerable amount of autonomy.


The ideal candidate (Python, scikit-learn, Kubernetes, AWS) will work in autonomous, cross functional teams entrusted with business-critical platforms.


Desired Skills⚙️


  • Python, Java
  • TensorFlow, scikit-learn, PyTorch
  • Kubernetes
  • MLOps
  • AWS


Benefits 🏖


  • Hybrid working
  • Regular team events


If you are a skilled Machine Learning Engineer (Python, scikit-learn, Kubernetes, AWS) who is interested in this role then please apply below and I will be in touch with more details.

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