Machine Learning Solutions Architect

3 days ago


London, Greater London, United Kingdom Sage City Full time
Job Description

As a Principal Machine Learning Engineer at Sage City, you will play a key role in building innovative services and solutions using generative AI and machine learning to turbocharge our users' productivity. The Sage City team builds capabilities to help businesses make better decisions through data-powered automation and insights.

You will design and implement product features and services that use AI and ML to augment and simplify our customers' workflows. Develop our internal ML platform to support our machine learning systems and our own efficiency.

Key Responsibilities:

  • Design and implement product features and services that use AI and ML.
  • Develop our internal ML platform to support our machine learning systems.
  • Monitor and optimize the quality and performance of our models, services, and tools.
  • Collaborate with our AI Platform team to extend the capabilities of our machine learning platform.
  • Design and write robust production-quality code to support our machine learning systems.
  • Build and operate pipelines for accessing and enriching data for machine learning.
  • Train, tune, and ship models.
  • Mentor other ML engineers, software engineers, and data scientists in best practices.
  • Work with product managers and data scientists to translate product/business problems into tractable machine learning solutions.

Requirements:

  • Keen interest in artificial intelligence and machine learning and extensive practical experience with it.
  • Expert knowledge and experience with relevant programming languages (incl. Python), frameworks (incl. Pycharm, OpenAI, HuggingFace, Spark, Azure, AWS).
  • Extensive experience with cloud environments (AWS, Azure, GCP).
  • Ability to write highly performant code working with big data.
  • Bachelor's degree, preferably in a field that strongly uses data science/machine learning techniques (e.g. computer science/engineering, statistics, applied math).
  • Fluency in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and predictive modelling.
  • Strong quantitative and analytical skills with significant experience with data science tools.
  • Ability to communicate complex ideas in machine learning to non-technical stakeholders.

Salary: £120,000 per annum.



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