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Lead Machine Learning Engineer - ETL / Sustainability / FinTech

Attis Global
Full-time
On-site
United Kingdom
£75,000 - £100,000 GBP yearly

Job Description


Lead Machine Learning Engineer required to join a (very) well-funded, remote-first, sustainability finance startup, which unlocks affordable funding to help sustainability and circular economy business to scale. High job satisfaction: Help green companies get greener funding!



 


As well as a competitive salary of £70k-£100k per year, you will also get:


  • Serious equity package

  • Unlimited holidays (minimum 25 days!)

  • £100 per month health and happiness budget

  • Benefits package

  • Support from a diverse team of both tech and industry experts /enthusiasts

  • Work on cutting-edge data projects that have a real impact on the planet

  • The opportunity to experiment with new skills and technologies

  • A chance to shape the tech stack by using your experience to advise what tech they should invest in.

 


Your responsibilities will include


  • Sole Lead ML Engineer reporting to founders

  • Ownership of ML product

  • Building the data predictive models and ML algorithms,

  • Working with large and complex datasets from various sources, such as IoT sensors, financial data, and customer feedback.

  • Using GCP cloud services to design, develop, and deploy data solutions that meet the needs of stakeholders.

  • Using Pandas/Python on Databricks and other programming languages to write high-quality code, perform data cleansing, transformation, and validation, and implement best practices for data quality and governance.

 


To be successful in this role, you should have:


  • At least 4 years of experience as a Data Scientist or ML / Data Engineer or a similar role

  • Predictive modelling and Algorithm Development

  • NLP knowledge (LLMs ideal but not essential)

  • Financial risk experience, such as leasing risk, credit risk etc

  • Proficient in GCP, but AWS also ok.

  • ETL pipeline knowledge

  • Broad Data Engineering skillset from Databricks, to Spark / Hadoop, to Airflow / Fivetran, and other streaming tools

  • Proficient in Python (pandas)

  • Have owned a Data Science/ML Product before (preferable)

 


PLEASE NOTE: Unfortunately the company are unable to provide visa sponsorship.


 


If you are interested in this role, please apply with your CV through this site.


 


DISCLAIMER: No terminology in this advert is intended to discriminate on the grounds of age, sex, race, religion or belief, disability, pregnancy and maternity, marriage and civil partnership, sexual orientation, gender, and/or gender reassignment, and we confirm that we are happy to accept applications from anyone for this role. Attis Global Ltd operates as an employment agency and employment business. More information can be found at attisglobal.com.