15 Oct
ADLIB Recruitment
Central London
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 youll 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 youll 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 youll 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 and up-to-date CV to help shape the future of climate tech
▶️ ML Software Engineer
🖊️ ADLIB Recruitment
📍 Central London