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Senior Machine Learning Architect

2 months ago


London, Greater London, United Kingdom Harnham Full time

Senior Machine Learning Architect

up to £115,000

Location: London

Exciting opportunity for a Senior Machine Learning Architect with a prominent organization.

About the Company:

Are you a specialist in Machine Learning?

We are seeking a Senior Machine Learning Architect to become part of a forward-thinking team.

This organization aims to enhance its position in the market through the best practices in Data Science, Engineering, and Machine Learning Operations. You will be engaged in developing Recommendation Systems and deploying sophisticated ML Models.

Your role will also involve leading a team of ML and Data professionals.

Position Overview:

As a Senior Machine Learning Architect:

  • Oversee Machine Learning Engineering projects.
  • Construct Machine Learning infrastructures that integrate with CI/CD pipelines, MLFlow, Kafka, and Kubernetes.
  • Lead a team of Machine Learning Engineers.
  • Develop and deploy advanced analytical algorithms and scalable solutions utilizing Cloud technologies.
  • Collaborate with a team of highly skilled Data Engineers and Data Scientists.
  • Take ownership of and lead innovative projects.
  • Engage regularly with stakeholders to ensure alignment and progress.

Required Skills and Experience:

  • A Master's or PhD in a STEM field is essential.
  • Demonstrated expertise in implementing Machine Learning and clustering techniques, with commercial experience as a Data Scientist.
  • Experience in DevOps practices, particularly CI/CD.
  • Proficiency with TensorFlow, Kubernetes, MLFlow, Kafka, and Airflow.
  • Strong programming skills in Python are required (experience with AWS and Spark is advantageous).
  • Excellent communication abilities and effective team collaboration.
  • A strong interest in problem-solving and leveraging scalable machine learning to address significant data challenges.

Benefits:

  • Competitive salary of up to £115,000
  • Hybrid working model

Application Process:

To express your interest, please submit your CV through the application link provided.