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ML Engineer & Data Platform Specialist

YTL Construction UK

Bath

On-site

GBP 45,000 - 65,000

Full time

Today
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Job summary

A leading infrastructure services company in Bath is looking for an experienced Data Specialist. In this role, you will design and implement machine learning algorithms, analyze datasets, and build scalable data pipelines. The ideal candidate should have expertise in Python and Azure technologies, alongside a master's degree in a relevant field. This position offers comprehensive perks including a 20% pension contribution and opportunities for career progression.

Benefits

Combined pension contribution up to 20%
25 days' holiday rising to 28
Healthcare package for healthcare costs
Life assurance of up to eight times your salary
Opportunity to lease an electric car
Cashback and discounts from over 3,000 retailers
One paid volunteering day each year

Qualifications

  • Proficiency in Python, including libraries such as pandas, scikit-learn, TensorFlow, and PyStats.
  • Strong understanding of machine learning techniques and their real-world trade-offs.
  • Excellent communication skills to effectively present insights and recommendations.

Responsibilities

  • Design and implement machine learning algorithms and maintain scalable models.
  • Analyse datasets to extract insights and determine appropriate techniques.
  • Build well-engineered, scalable data pipelines within Azure.

Skills

Python proficiency
Machine learning techniques
Data visualisation tools
Strong analytical skills
Collaborative mindset

Education

MSc in AI/ML, Data Science, Mathematics, Computer Science or a related field

Tools

Azure technologies
Power BI
PySpark
TensorFlow
Job description
A leading infrastructure services company in Bath is looking for an experienced Data Specialist. In this role, you will design and implement machine learning algorithms, analyze datasets, and build scalable data pipelines. The ideal candidate should have expertise in Python and Azure technologies, alongside a master's degree in a relevant field. This position offers comprehensive perks including a 20% pension contribution and opportunities for career progression.
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