Lead Data and AI Engineer

We are working with , a London-based AI company bringing radical visibility to global supply chains, creating a technology that will eliminate supply chain unknowns to drive down costs, achieve carbon targets, and strengthen supply chain resilience.

We're helping them hire a Lead Data and AI Engineer.

This ambitious company was incorporated in early 2025 and has since built strong momentum.

Backed by leading climate-tech investors, alongside a long list of angel operators and unicorn founders, the company is well-funded with two years of runway and clear near-term goals.

With design partnerships in place with several of the worlds largest manufacturing companies, theyre now building the founding technical team that will power the next stage of growth.

Job Description

As Atmospherics Lead Data and AI Engineer, you will join the founding team as its technical leader. This is a zero-to-one opportunity for you to architect and build the companys core data and AI systems from the ground up, shaping both the technical roadmap and the foundations of a category-defining platform.

You wont just execute youll define the technical roadmap, establish best practices, and shape the foundation of Atmospheric AIs intelligence layer. The role offers immense autonomy and the opportunity to have a deep, lasting impact on both the product and the business.

Primary Responsibilities

• Design and implement the core data stack end-to-end, working across ingestion, processing, and delivery systems (S3/Athena, Neon Postgres, Tinybird, Modal, Dagster).
• Define the strategy for integrating AI/ML models and LLMs into data workflows for automated enrichment and agentic features.
• Develop entity-matching algorithms (potentially using ML) to link disparate data points and resolve entities.
• Work with domain experts to formalise a comprehensive ontology of the chemical and energy supply chain.
• Build agent-based systems that perform complex automated tasks, updating the digital twin based on real-time data.
• Establish the foundations for MLOps and performance monitoring.
• Design and build robust, scalable ETL/ELT pipelines to ingest large volumes of data from APIs, web scraping, and multiple data sources.
• Own the scalability, reliability, and best practices of Atmospheric AIs data infrastructure.
• Develop data quality and governance frameworks.

Requirements:

• 10+ years of experience in data engineering or AI/ML engineering.
• An experienced builder with a strong track record of productionisation, technical ownership, and scaling data systems from the ground up.
• Deep familiarity with modern data stacks and cloud technologies (AWS, Azure, or GCP).
• Expert knowledge of Python and SQL
• Hands-on experiences with Data Architecture, including:
• Cloud platforms and orchestration tools (e.g. Dagster, Airflow)
• AI/MLOps: Model deployment, monitoring, lifecycle management.
• Big Data Processing: Spark, Databricks, or similar.
• Bonus: Knowledge Graph engineering, graph databases, ontologies.
• Located in London

And ideally you

• Are a zero-to-one builder who thrives on autonomy and ambiguity.
• Are a strong team player who can communicate effectively and collaborate across technical and commercial teams
• Thrive in fast-moving environments and work at a high pace
• Enjoy owning and solving problems, act boldly and decisively, maintaining forward progression
• Are a hands-on leader who can both build and scale a data function over time.
• Take ownership, empower others, and drive meaningful change

Tech Stack:

• Cloud & storage: S3, Athena, Glue
• Databases: Neon Postrgres, Tinybird
• Compute & Orchestration: Modal, Dagster
• Languages: Python, SQL
• AI/ML: LLMs, agentic workflows

Benefits Currently Offered:

• 130K150K base salary + meaningful equity as a founding employee.
• Private medical insurance
• Life assurance
• Gym membership
• Coaching and personal development programs
• Cycle to work and EV schemes
• 25 days annual leave

Interview process:

1. Introductory interview 30 mins
2. Technical interview - 60 mins
3. Leadership interview - 60 mins
4. Final interview with CEO 30 mins

We CAN accept applications from European candidates and support remote work from Europe

We CAN'T offer visa sponsorship in the UK at this point in time