Lead Data & Platform Engineer London

At FLOX, we believe smarter farms lead to thriving chickens and healthier lives. Our mission is simple: healthier chickens benefit everyone. That’s why we built FLOX360, a system that uses Computer Vision, smart sensors, and real-time insights to transform poultry farming. By helping farmers improve welfare and efficiency, FLOX360 creates a win-win for birds, farmers, the environment, and people everywhere. Today, we’re watching 60 million chickens a year.

We believe we are setting the standard for animal welfare and smart farming - and we’re just getting started.

We’re a diverse team of engineers and entrepreneurs, representing over 13 nationalities and all walks of life - even a few vegetarians! We are brought together by a shared passion for meaningful impact. Our culture is grounded in values we live every day:

Empathetic Artisan - We approach our work with care, artistry, and genuine empathy for each other and our users. We lead with positivity and passion.

Tenacious Innovator - Innovation drives us. We trust ourselves, keep learning, and uncover bold solutions that redefine what’s possible in poultry farming.

Hand in Glove - One mission, one team. We grow together with patience, trust, and transparency, amplifying each other’s strengths to revolutionise farming.

Worth Building - Worth celebrating. We dedicate ourselves to work that matters, taking pride in creating disruptive solutions our users can’t live without.

This is an exciting moment of growth for FLOX - and we’re looking for ambitious, humble, and purpose-driven people to join us in building a future of smarter farms, thriving chickens, and healthier lives.

We are currently seeking a Senior Data & Platform Engineer to work directly under our Engineering Director in our office in London. We’re a Series A ready start-up with plenty of room for progression and making direct impact for our customers.

This high-impact role demands "best-in-class" data engineering and MLOps skills to build, maintain, and deploy the production-grade commercial applications that power our AI and analytics platform. The ideal candidate will have experience navigating complex data challenges in analytics-heavy industries like AgTech or HealthTech and is motivated to revolutionise the poultry sector through data science and robust platform architecture. Our product vision is to empower our customers with autonomous intelligence at speed and scale. This role is a key part of achieving this vision to convert data into actionable intelligence.

Key Responsibilities:

• Engineering Excellence & Transformational Value:  Drive engineering excellence by architecting robust, scalable data platforms that deliver measurable, transformational value to product outcomes in the AgTech space.
• Production-Grade Application Deployment:  Build, maintain, and deploy production-grade commercial applications and data services that are highly available, reliable, and performant.
• Best-in-Class Data Engineering:  Design and optimise sophisticated batch and streaming data pipelines within the Snowflake or similar Data Cloud, ensuring data integrity, quality, and accessibility for analytics and machine learning applications.
• MLOps Implementation & Application Engineering:  Collaborate directly with machine learning engineers and production application engineers to integrate open source MLOps pipelines (CI/CD for ML) and deploy models seamlessly into production environments using specialised tools like MLflow, DVC and Feast.
• Advanced Data Modelling (Ontology & Knowledge Graphs):  Lead the design and implementation of data ontologies and knowledge graphs using graph databases (e.g., Neo4j, Neptune) to model complex biological and operational data relationships for sophisticated AI insights.
• Data Platform Expertise & Optimisation:  Lead our data engineering efforts on data platforms such as Snowflake, Data bricks or similar focusing on data modelling, and analytics workflows to deliver actionable intelligence to customers.

Data

• Data sources: PTZ Cameras, IoT sensors, customer derived data sets
• Terabyte scale data on edge and cloud
• On-prem, cloud and edge compute

DevOps / MLOps / Software Development