Lead Data & Platform Engineer Join to apply for the Lead Data & Platform Engineer role at FLOX. This role offers an exciting opportunity to shape the future of smarter farms, thriving chickens, and healthier lives. Base pay range: Up to £90k p.a. depending on experience and location. The mission areas include health and welfare of poultry, real‑time insights, and AI‑powered analytics. Mission & People 🛠️ The MissionAt FLOX, we believe smarter farms lead to thriving chickens and healthier lives. FLOX360 uses Computer Vision, smart sensors, and real‑time insights to transform poultry farming, improving welfare, efficiency, and the environment. Today, we’re watching 60 million chickens a year. 👥 The PeopleOur diverse team of engineers and entrepreneurs spans over 13 nationalities and walks of life. Our culture emphasizes empathy, innovation, collaboration, and purpose‑driven impact. Role Overview We are currently seeking a Senior Data & Platform Engineer to work directly under our Engineering Director in our London office. The position demands best‑in‑class data engineering and MLOps skills to build, maintain, and deploy production‑grade commercial applications that power our AI and analytics platform. Key Responsibilities

Drive engineering excellence by architecting robust, scalable data platforms that deliver measurable value in AgTech. Build, maintain, and deploy production‑grade commercial applications and data services that are highly available, reliable, and performant. Design and optimise batch and streaming data pipelines within Snowflake or similar Data Cloud, ensuring data integrity, quality, and accessibility for analytics and machine learning. Collaborate with machine learning and application engineers to integrate MLOps pipelines (CI/CD for ML) and deploy models into production using tools such as MLflow, DVC, and Feast. Lead data ontology and knowledge graph design using graph databases (Neo4j, Neptune) to model complex biological and operational relationships. Drive data engineering efforts on platforms such as Snowflake or Databricks, focusing on data modelling and analytics workflows to deliver actionable intelligence.

Tech Stack 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

Python and FastAPI Kafka, MySQL, MongoDB, PostgreSQL Docker, Kubernetes network and service mesh, RKE2 RTMP, WebRTC, HLS, MPEG‑DASH Prometheus, Grafana, Alertmanager, Thanos; ELK; Jaeger; custom exporters Jenkins, GitLab, Sonatype Nexus, Terraform, Ansible, Argo CD AWS (primary), with GCP/Azure exposure DVC, MLFlow, Airflow, Dagster, CVAT, Weights & Biases; data lakes/warehouse

Requirements

5+ years of experience in data platform engineering within analytics‑heavy, fast‑paced tech/product companies. Experience in AgTech, HealthTech, or Biotechnology is highly preferred. Proven track record working effectively within integrated product teams of ML engineers, data scientists, platform and application engineers. Deep expertise in Snowflake or similar architecture and management. Hands‑on experience in knowledge modelling, ontology design (RDF, OWL, etc.), and managing graph databases (Neo4j). Strong experience with MLOps frameworks like MLflow, DVC, Feast and orchestration tools. Highly proactive, product‑focused mindset aimed at delivering engineering excellence and tangible business transformation. Prior experience in a start‑up or scale‑up environment, navigating ambiguity to make key decisions. Excellent cross‑functional communication skills. Ability to travel to London HQ roughly twice a week. [Desirable] Experience with multimodal data engineering and building customer‑facing data products.

What We Can Offer You

Up to £90k p.a. depending on experience and location. Hybrid working: office twice a week with flexibility. Inclusive, relaxed company culture: dress freely and be yourself. Lunch and snacks provided. Exposure to state‑of‑the‑art technologies. A talented and international work environment. Travel within the UK, potentially into the US and LATAM. Chance to work with respected experts in AI and robotics.

Hiring timeline We’re accepting applications now. Interviews will start in January 2026. If you apply in December, don’t worry about a delayed reply – we’ll contact you once the interview process begins in the new year. Equal Opportunity We are committed to equality of opportunity for all staff and applications from all individuals are encouraged regardless of age, socioeconomic background, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships. Job Details Seniority level: Mid‑Senior. Employment type: Full‑time. Job function: Other. Industries: IT Services and IT Consulting. #J-18808-Ljbffr