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Machine Learning Engineer

Very competitive

Wednesday 07 Aug 2024

Ref: 5721

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Machine Learning Engineer - Remote UK
 
Are you an experienced Machine Learning Engineer looking to work on cutting edge cloud projects for prestigious clients?  This organisation has experienced continually strong growth since founding, and this exciting role would see the successful candidate design, build and deliver complex new solutions within an entirely new function focused on AI and ML.
 
Benefits
 
As well as offering a highly competitive salary, you'll enjoy one of the strongest benefits packages around, and truly employee-centric organisation that has always prized taking care of its employees well-being, both personal and professional.
 
  • A generous holiday allowance.
  • Flexible working options.
  • Fantastic Healthcare and Pension Scheme.
  • Opportunities for career development and progression within the company and support for this
  • Bonus
  • Much, much more... 
 
About the role
 
As a mid-to-senior level Machine Learning Engineer, you will be involved in creating ML models to be deployed in the cloud and supporting the Data Engineering, DataOps and Devops. You will be working with the latest technology on highly visible and large-scale projects.
 
What you’ll bring to the role
 
  • Strong grounding in ML approaches, techniques and frameworks 
  • Python, Pandas, Tensor Flow, Scikit-learn, Numpy, SciPy
  • Experience deploying to the cloud and working with Azure (Azure DevOps, Azure ML, Azure SQL, ADF etc.)
  • Able to work with databases like SQL Server, NoSQL, etc
  • Experience with ETL process, data pipelines, Devops
 
This role is hybrid, with requirement to be in one of their UK offices in either Scotland or England on occasion (they love to keep up the culture through social meet ups), and you will travel on occasion to visit clients.
 
Please apply today for immediate consideration.
 
Bright Purple is an equal opportunities employer: we are proud to work with clients who share our values of diversity and inclusion in our industry.
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