Machine Learning Engineer

Bright Purple, GB
Published on

About the Role

Are you an experienced Machine Learning Engineer looking to work on cutting-edge cloud projects for prestigious clients? This organization has seen continually strong growth since its 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.

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 functions. You will work with the latest technology on highly visible, large-scale projects.

About the Candidate

What you’ll bring to the role:

  • Strong grounding in ML approaches, techniques, and frameworks.
  • Skills in Python, Pandas, TensorFlow, Scikit-learn, NumPy, and 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 processes, data pipelines, and DevOps.

About the Company

Bright Purple is an equal opportunities employer and takes pride in working with clients that share our values of diversity and inclusion within our industry. This organization prioritizes employee welfare, ensuring that personal and professional well-being is always kept in mind.

Company Culture and Benefits

As well as offering a highly competitive salary, you'll enjoy one of the strongest benefits packages around, including:

  • A generous holiday allowance.
  • Flexible working options.
  • Fantastic healthcare and pension scheme.
  • Opportunities for career development and progression within the company, along with support for this.
  • Bonus incentives.

This role is remote with travel, requiring occasional presence in one of their UK offices located in either Scotland or England to maintain company culture through social meet-ups and client visits. Please apply today for immediate consideration.