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Senior Machine Learning Engineer

Location: London Salary: £60000 - £100000 per annum
Sector: Technology Specialism:
Type: Permanent Contact: Rob Smith

Senior Machine Learning Engineer

My client is a leading consultancy focussing on data in the cloud and based in the City of London. They are recruiting for a number of Senior Machine Learning Engineers to work on some exciting client projects. As a Senior Machine Learning Engineer you will be working very closely with the team which is currently 15 strong and still growing.

As a Senior Machine Learning Engineer, you will be predominantly working from home for the time being, but you will be expected to be in the office in London for 2-3 days per week when they go back!

As a Senior Machine Learning Engineer you will receive the following benefits:

  • Flexible working
  • Private healthcare scheme, subject to qualifying employment period and scheme eligibility
  • Stakeholder pension opportunities, subject to scheme qualification criteria
  • 25 days holiday per year, increasing with service
  • Additional 4 days and up to £700 towards your professional L&D

Senior Machine Learning Engineer Responsibilities:

  • Working closely with clients, taking requirements and translating them into well engineered models that solve real-world problems
  • Individually and as a team, you will run machine learning experiments using machine learning libraries and various programming skills and languages.
  • Optimizing solutions for performance and future scalability.
  • Implementing custom, clean machine learning code.
  • Data Science, Data Engineering and Analytics
  • MLOps - automating Machine Learning workflows to include testing, reproducibility and metadata/feature storage
  • Designing Machine Learning architectures on Google Cloud (GCP)

Senior Machine Learning Engineer Essential Skills:

  • Multiple years of experience as an Machine Learning Engineer, ideally from a consulting background.
  • You should be comfortable working with Python as a primary backend language, delivering code in well-tested CI/CD pipelines.
  • Be familiar with cloud environments including GCP, AWS and Azure.
  • Software Engineering skills and experience.
  • Experienced with SQL.
  • Comfortable scaling up computations (GPUs, distributed computing etc).
  • Familiarity with exposing Machine Learning components through various web services or wrappers e.g. Flask in Python.
  • Strong communication and presentation skills to people at various organisational levels both internally and externally.

Services advertised by Gold Group are those of an Agency and/or an Employment Business.
We will contact you within the next 14 days if you are selected for interview. For a copy of our privacy policy please visit our website.

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