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Senior Machine Learning Engineer

Location: London Salary: plus an awesome benefits package
Sector: Client Delivery, 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.

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