£100K/yr to £130K/yr
London, England
Permanent, Variable

ML Software Engineer

Posted by ADLIB.

Join a Pioneering Climate Tech Team

We are partnering with a transformative and fast-growing start-up dedicated to leveraging machine learning to accelerate climate action.

They are looking for a Machine Learning Software Engineer to play a pivotal role in developing solutions that harness the power of data, driving meaningful change in the climate sector.

What you'll be doing:

  • Spearhead data collection initiatives using advanced web scraping techniques to broaden data acquisition.
  • Utilise AI and NLP to refine and transform large datasets, enhancing the quality and accessibility of information.
  • Develop and maintain sophisticated data management systems to support data validation and entry.
  • Conduct detailed analyses to improve the functionality and efficiency of the data processing frameworks.

Current team size is 5 including the Head of Eng. They are looking to double over the next 6 months with engineers who can wear many hats (Software, Data & ML)

What experience you'll need to apply:

  • 5 years of experience in Software/Data/Machine Learning Engineering
  • Python for machine learning and backend development tasks
  • Background in NLP to develop and implement ML models for data processing and analysis
  • Experienced with AWS for managing and deploying applications in a cloud environment
  • Proven track record of developing production-grade software for maintaining and scaling live systems.
  • Familiarity with DevOps practices including CI/CD.
  • Data manipulation and extraction techniques for unstructured data sources desirable.
  • Start-up/Scale-up experience highly advantageous

What you'll get in return for your experience

  • Salary of £100,000 - £130,000 DOE.
  • Stock options.
  • Flexible hybrid working.
  • Work with a highly talented team where innovation and ideas are celebrated.

What's next?

Interested in making a real-world impact with your technical skills? Apply now with an up-to-date CV and help shape the future of climate tech.

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