Lead Machine Learning and AI Engineer

Permanent employee, Full-time · London, Remote

The role

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 renewable 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. Recognised as Earthshot Prize Finalists 2024, BloombergNEF Pioneers 2024, World Economic Forum Technology Pioneers 2024, and part of the TechNation Future Fifty 2025, we are shaping the future of how organisations understand and protect nature.

As we enter a new phase of rapid global growth, we are seeking a highly skilled and experienced Lead Machine Learning (ML) and artificial intelligence (AI) Engineer to drive the development and deployment of our advanced ML and AI learning solutions. In this pivotal role, you'll combine hands-on technical leadership with strategic vision, to build innovative models and scalable infrastructure that tackle complex ecological and geospatial challenges. You'll be instrumental in shaping our ML and AI roadmap, directly contributing to helping organisations understand and manage their impact on nature.

What you'll do

Hands-on technical leadership: Lead the design, development and deployment of end-to-end ML and AI systems, from research and prototyping to productionisation and monitoring.
Model development: Lead the development and implementation of advanced ML algorithms and models to solve complex ecological and geospatial problems.
System design and architecture: Architect, build and maintain scalable, reliable, and efficient ML and AI pipelines and infrastructure.
Mentorship: Provide technical guidance, project management,and mentorship to a team of ML engineers and data scientists, fostering their growth and ensuring high-quality deliverables.
Product strategy and innovation: Collaborate with product managers and stakeholders to translate business requirements into technical solutions, contributing to the overall ML and AI strategy and identifying opportunities for innovation.

About you

What you’ll bring

We’re looking for a driven and collaborative technical leader 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.

We are looking for:

Significant experience in ML engineering or applied data science.
A proven track record of successfully designing, building and deploying ML models into production environments at scale.
Expertise in Python and relevant ML libraries.
Strong 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.
Experience working with bioinformatics, life sciences, or geospatial data.
Strong understanding of software engineering best practices, including version control (e.g. Git), CI/CD, and testing.
Strong understanding of MLOps principles and monitoring and evaluation tools.
Experience of providing technical mentorship and guidance to junior ML engineers and data scientists.
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:

Experience in a technical lead role.
Experience working with software as a service (SaaS) products.

What's in it for you

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.

Why us?

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!

Apply for this job

About us

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.

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!

Apply for this job

We are looking forward to hearing from you!

Thank you for your interest in NatureMetrics. Please fill out the following short form. Should you have difficulties with the upload of your data, please send an email to careers@naturemetrics.co.uk.