We combine deep sustainability and financial expertise with our in-house technology team to develop bespoke software solutions for clients across the sustainability space. We are at the forefront of deploying AI into sustainability data, using technology where it is best applied to reduce manual time and cost on large-scale text and data analysis.
As a Full-Stack Engineer, you will work across our internal platform, which powers Canbury’s research and analytics, and bespoke software for clients across the sustainability space.
Our stack is Python (FastAPI), React/TypeScript, PostgreSQL, and Azure (Container Apps, Blob Storage, Postgres Flexible Server, and related services). We are particularly keen to hear from engineers with strong infrastructure and DevOps instincts who want to push us to run things properly in production.
AI in production. Infrastructure, full-stack product work, and AI/data engineering all sit within the role. Our clients steward trillions in assets. Design and maintain CI/CD pipelines, container deployments, networking, secrets management, monitoring, and cost controls. Develop full-stack features end-to-end. From Postgres schema design through FastAPI endpoints to React interfaces, for client deliverables. Build Python-based data and AI pipelines. Develop analytics and ETL pipelines, automate data collection and cleansing, and extract insights via LLM APIs (Anthropic, OpenAI, Gemini). Optimise for cost and quality through caching, batching, token management, and prompt and post-processing design. Contribute to technical decision-making as the team grows: architecture, tooling, code quality, and engineering practices.
At least 2 years of professional software engineering experience, preferably in roles where you have shipped and operated production systems, not just built prototypes. Strong infrastructure and DevOps skills: hands-on experience with Azure (or comparable cloud, AWS or GCP), containerisation (Docker), CI/CD, and infrastructure-as-code. Solid full-stack experience with Python backends (FastAPI or similar), React/TypeScript frontends, and relational databases (PostgreSQL preferred). A track record of building and shipping. Personal projects, open-source contributions, or production systems you can talk about in detail. Comfort working with LLM APIs and an understanding of the practical considerations around cost, latency, and reliability when AI is in the loop. Hybrid. We have an office in Farringdon. Type: Full-time, permanent. Salary: £40k-60k+ depending on experience.”, “datePosted”: “2026-05-22”, “hiringOrganization”: { “@type”: “Organization”, “name”: “Canbury”, “sameAs”: “https://uk.whatjobs.com/pub_api__cpl__439406287__4861?utm_campaign=publisher&utm_medium=api&utm_source=4861&geoID=33” }, “jobLocation”: { “@type”: “Place”, “address”: { “@type”: “PostalAddress”, “addressLocality”: “London” } } }
About Canbury Canbury is a technology-enabled sustainability firm applying AI tools to deliver research, data, and analysis thoroughly, effectively and cost-efficiently. We work with leading institutional investors, companies and NGOs on specialised sustainability topics, including climate change, nature, social inequality, systems change, and policy change.
We combine deep sustainability and financial expertise with our in-house technology team to develop bespoke software solutions for clients across the sustainability space. We are at the forefront of deploying AI into sustainability data, using technology where it is best applied to reduce manual time and cost on large-scale text and data analysis.
As a Full-Stack Engineer, you will work across our internal platform, which powers Canbury’s research and analytics, and bespoke software for clients across the sustainability space.
Our stack is Python (FastAPI), React/TypeScript, PostgreSQL, and Azure (Container Apps, Blob Storage, Postgres Flexible Server, and related services). We are particularly keen to hear from engineers with strong infrastructure and DevOps instincts who want to push us to run things properly in production.
AI in production. Infrastructure, full-stack product work, and AI/data engineering all sit within the role. Our clients steward trillions in assets. Design and maintain CI/CD pipelines, container deployments, networking, secrets management, monitoring, and cost controls. Develop full-stack features end-to-end. From Postgres schema design through FastAPI endpoints to React interfaces, for client deliverables. Build Python-based data and AI pipelines. Develop analytics and ETL pipelines, automate data collection and cleansing, and extract insights via LLM APIs (Anthropic, OpenAI, Gemini). Optimise for cost and quality through caching, batching, token management, and prompt and post-processing design. Contribute to technical decision-making as the team grows: architecture, tooling, code quality, and engineering practices.
At least 2 years of professional software engineering experience, preferably in roles where you have shipped and operated production systems, not just built prototypes. Strong infrastructure and DevOps skills: hands-on experience with Azure (or comparable cloud, AWS or GCP), containerisation (Docker), CI/CD, and infrastructure-as-code. Solid full-stack experience with Python backends (FastAPI or similar), React/TypeScript frontends, and relational databases (PostgreSQL preferred). A track record of building and shipping. Personal projects, open-source contributions, or production systems you can talk about in detail. Comfort working with LLM APIs and an understanding of the practical considerations around cost, latency, and reliability when AI is in the loop. Hybrid. We have an office in Farringdon. Type: Full-time, permanent. Salary: £40k-60k+ depending on experience….