Machine Learning and AI Engineer

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Join our team! We are a market-leading nature tech company on a mission to make nature measurable and actionable at scale. Our platform delivers vital insights on species, habitats, and nature-related risks, helping businesses across sectors—from mining and renewables to CGS and financial services—make smarter, more sustainable decisions. As global leaders in biodiversity monitoring and eDNA analysis, we are transforming how nature is measured. Our technology makes biodiversity insights accessible, actionable, and scalable, powering change from conservation to industry. We are recognised as Earthshot Prize Finalists 2024, BloombergNEF Pioneers 2024, World Economic Forum Technology Pioneers 2024, and part of the TechNation Future Fifty 2025.

As we enter a new phase of rapid global growth, we are seeking 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.

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• 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.
  

We’re looking for a driven and collaborative engineer who is passionate about using ML and AI to make a tangible impact on helping organisations understand and manage their impact on nature. You should thrive in a dynamic, purpose-driven environment and be eager to tackle challenging, real-world problems.

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• 2+ years of experience in ML engineering or applied data science.
  
• A proven track record of successfully contributing to the design, building and deployment of ML models into production environments.
  
• Expertise in Python and relevant ML libraries.
  
• Experience with various ML algorithms (e.g. supervised, unsupervised, reinforcement learning) and deep learning frameworks (e.g. TensorFlow, PyTorch).
  
• Experience developing generative AI applications and deploying them into production.
  
• Experience working with cloud platforms, ideally Google Cloud Platform (GCP) and BigQuery.
  
• Proficiency in working with and querying global scale datasets.
  
• Familiarity with bioinformatics, life sciences or geospatial data.
  
• Understanding of software engineering best practices, including version control (e.g. Git), CI/CD, and testing.
  
• Understanding of MLOps principles and monitoring and evaluation tools.
  
• Excellent communication and stakeholder management skills, with the ability to distil complex ideas for diverse audiences.
  
• A collaborative mindset and a desire to work cross-functionally across a purpose-driven business.
  

While not essential, the following experience would also be advantageous:

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• Strong prior experience working with bioinformatics, life sciences or geospatial data in an ecological context.
  
• Experience working with software as a service (SaaS) products.
  

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• Competitive Salary
  
• Impactful work with a purpose-driven team
  
• Flexible work arrangements - this is a hybrid position, with the expectation that the successful applicant will attend the office 2-3 days a week, depending on location
  
• Opportunities for professional growth
  
• Benefits package including salary sacrifice pension scheme prioritising sustainability; life assurance; Enhanced annual leave; Cycle to Work Scheme; enhanced family friendly policy; £250 L&D budget to use on our Learning platform, Learnerbly.
  

At NatureMetrics diversity and inclusion are part of our DNA. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us to the communities we work with. Our values leave no space for stereotypes. We are all unique and pull together for a common purpose. We're a dynamic team passionate about nature and biodiversity and we take immense pride in our work and our impact. Join us on this journey!

Backed by ambitious investors, we're on a mission to make biodiversity measurable at scale to underpin global goals and accelerate finance into nature. NatureMetrics combines tech and AI to derive simple insights from the full complexity of nature on the ground.