Wefarm | Lead Machine Learning Engineer | London, UK | Full-Time | ONSITE | https://careers.wefarm.co
Wefarm are looking for an exceptional Lead Machine Learning Engineer to help us to develop our next generation of Machine Learning. At Wefarm, you’ll have a direct impact on millions of lives by building products that connect farmers to the information, services, and products they need to grow. You’ll have a unique opportunity to develop Natural Language Processing (NLP) tools in multiple regional, under-resourced languages – enabling fair access to ML for all.
Wefarm is the world’s largest knowledge network and marketplace for small-scale farmers. Using Wefarm they can share and access vital information, products and services without needing any access to the internet.
Wefarm, the world’s largest farmer-to-farmer digital network, enables farmers to connect with one another to solve problems, share ideas and spread innovation. Utilising the latest machine learning technology, Wefarm’s service works both online and over SMS. Knowledge shared on Wefarm can help farmers to produce higher quality product, increase yields, gain insight into market pricing, tackle the effects of climate change, diversify agricultural interests, and much more.
Since its founding in 2015, Wefarm has been named one of Africa’s Most Innovative Companies by FastCompany and has won Google’s Impact Challenge Award, TechCrunch’s Europas-Tech for Good Award, and the European Union Commission’s Ideas from Europe prize, among others. We’ve been covered on CNN, the BBC, Wired, TechCrunch, Forbes, the FT and more. The company is headquartered in London with offices in Nairobi and Kampala.
Love interesting and complicated data? Want to work for a multi-award winning agtech startup? WeFarm are looking for a Data Analyst (R, SQL) to join us in London. (An interest in Clojure/ClojureScript would be hugely beneficial.)
WeFarm is a free peer-to-peer service that enables farmers to share crop and livestock-saving information via SMS, without the internet, and without having to leave their farm. Farmers can ask questions about pressing agricultural issues and receive crowd-sourced answers from other farmers around the world within minutes. For instance, small-scale farmers can learn how to improve crop yield or how to start a micro-business, enabling them to increase household income. With 90% of smallholder farmers now able to access a basic mobile phone, WeFarm’s goal is to connect millions of farmers around the world to the information they require.
Check out http://wefarm.org/data-analyst/ for more information and get in touch with me directly if you've got any questions.
Wefarm are looking for an exceptional Lead Machine Learning Engineer to help us to develop our next generation of Machine Learning. At Wefarm, you’ll have a direct impact on millions of lives by building products that connect farmers to the information, services, and products they need to grow. You’ll have a unique opportunity to develop Natural Language Processing (NLP) tools in multiple regional, under-resourced languages – enabling fair access to ML for all.
https://careers.wefarm.co/o/lead-machine-learning-engineer