The role
NatureMetrics is a global leader in biodiversity monitoring and environmental DNA (eDNA) analysis, transforming the scale at which nature can be quantified. Our cutting-edge solutions enable organisations to monitor nature impact across sectors, from conservation to industry and inform sustainability decisions with unprecedented accuracy. With a strong market leading position, NatureMetrics has established a robust client base and developed a proprietary software platform that makes biodiversity insights accessible, actionable and scalable. As Earthshot Prize Finalists 2024, BloombergNEF Pioneers 2024, World Economic Forum Technology Pioneers 2024 and TechNation Future Fifty 2025 cohort members, we have the potential and the opportunity to change the way organisations operate.
As we continue to grow, we're looking for a highly motivated and skilled Machine Learning (ML) and Artificial Intelligence (AI) Engineer to contribute to the development and deployment of our advanced ML and AI solutions. In this hands-on role, you'll be involved in building innovative models and scalable infrastructure that tackle complex ecological and geospatial challenges. You'll play a key part in our ML and AI roadmap, directly contributing to helping organisations understand and manage their impact on nature.
Key Responsibilities
Feature development: Lead on the design, development and deployment of end-to-end ML and AI features, from research and prototyping to productionisation and monitoring.
Model implementation: Implement advanced ML algorithms and models to solve complex ecological and geospatial problems.
System design: Contribute to the architecture, building and maintenance of scalable, reliable, and efficient ML and AI pipelines and infrastructure.
Product collaboration: Collaborate with product managers and stakeholders to translate business requirements into technical solutions, supporting the overall ML and AI strategy and identifying opportunities for innovation.
As we continue to grow, we're looking for a highly motivated and skilled Machine Learning (ML) and Artificial Intelligence (AI) Engineer to contribute to the development and deployment of our advanced ML and AI solutions. In this hands-on role, you'll be involved in building innovative models and scalable infrastructure that tackle complex ecological and geospatial challenges. You'll play a key part in our ML and AI roadmap, directly contributing to helping organisations understand and manage their impact on nature.
Key Responsibilities
Feature development: Lead on the design, development and deployment of end-to-end ML and AI features, from research and prototyping to productionisation and monitoring.
Model implementation: Implement advanced ML algorithms and models to solve complex ecological and geospatial problems.
System design: Contribute to the architecture, building and maintenance of scalable, reliable, and efficient ML and AI pipelines and infrastructure.
Product collaboration: Collaborate with product managers and stakeholders to translate business requirements into technical solutions, supporting the overall ML and AI strategy and identifying opportunities for innovation.