Type: Full-Time
Location: Milton Park, Oxford, England, UK (flexible working arrangements)
Position Now Closed - Jan 2022
Who are Gardin?
Gardin combines remote optical plant phenotyping with machine learning to optimize yield, nutrition, and quality of food production.
The changing climate and growth in the global population is putting significant stress on our current methods of food production, exacerbating existing issues of topsoil erosion, chemical treatment, and water scarcity.
Gardin enables the food industry to tackle these issues through data-driven precision farming and create positive outcomes for the climate by domesticating food production, quantifying supply chain carbon emissions, increasing resource efficiency and unlocking unproductive farmland to be repurposed as carbon sinks through nature-based climate solutions.
What you will be achieving with us
- Facilitate rapid deployment of ML models into production, allowing the outputs of the DS team to scale with the needs of the business.
- Support data scientists by advising on ML product development, technologies, and best practices.
- Support our Model as a Service initiative to develop a platform to enable ML model deployment and lifecycle management.
- Ensure the bespoke software we write is well-engineered and of production quality.
- Work cross-functionally with other team leads to improve deployment performance.
- Develop and promote best machine learning practices throughout the team.
- Be a key interface between the data science team and our platform team.
What we are looking for
- Strong Python programming skills.
- Experienced in software development - minimum 2 years applied programming in the industry.
- Experience with AWS services related to machine learning (Sagemaker, S3, EC2, ECR, EKS, Athena).
- Experience bringing ML toolkit models (PyTorch, TensorFlow, MXNet, Scikit-Learn) from development to production; must demonstrate familiarity with Docker/Kubernetes.