Founding ML Engineer - Climate Tech

JR United Kingdom; Slough; Hybrid; GBP 45,000 - 70,000; Full time

Job summary

A leading technology company in climate tech is seeking a Founding ML Engineer to build innovative ML systems from the ground up. This role provides the opportunity to influence product development and collaborate closely with stakeholders, making a real-world impact in tackling climate challenges. The position is ideal for a startup-minded engineer passionate about creating responsible technology.

Benefits

High ownership from day one

Growth opportunities with experienced founders

Work autonomously in a high-trust environment

Qualifications

• Experience building ML-driven applications using LLMs.
• Strong knowledge in vector databases and retrieval.
• Startup experience; comfortable with ambiguity.

Responsibilities

• Design and implement production-ready RAG pipelines.
• Develop scalable ML systems for unstructured documents.
• Collaborate closely with users to refine use cases.

Skills

Applied ML Engineering

Vector Tech

Collaboration

Fast Learning

Tools

Python

AWS

Job description

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Founding ML Engineer - Climate Tech, Slough

Client: Paradigm Talent

Location: Slough, United Kingdom

Job Category: Other

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EU work permit required: Yes

Job Views: 9

Posted: 10.06.2025

Expiry Date: 25.07.2025

Job Description:

London preferred, remote considered (UK-based)

Early-stage | High ownership | Real-world impact

About the Company

We’re an early-stage technology company whose platform makes unstructured documents searchable, explainable, and useful—providing users with insights to make faster, more informed decisions.

We’re building a founding team of engineers passionate about solving meaningful real-world problems in the climate-tech space using cutting-edge AI. We’re already working with forward-thinking organizations and are now focusing on scaling the next version of our product.

The Opportunity

We’re looking for a Founding ML Engineer to join our small, mission-driven team. This is a rare chance to build systems from the ground up, define the product alongside users, and work with modern ML tooling—practical, not just theoretical.

What You’ll Do

• Build RAG-Based Systems: Design and implement production-ready retrieval-augmented generation (RAG) pipelines powered by LLMs and vector search.
• Develop ML Infrastructure: Create scalable, modular ML systems for parsing and interpreting long-form unstructured documents.
• Collaborate Closely with Users: Work directly with internal and external stakeholders to refine use cases and deliver high-utility outputs.
• End-to-End Ownership: Operate across the stack—from model experimentation to integration with APIs and UIs.
• Influence Culture & Direction: Help shape technical standards, processes, and company culture as a key early team member.

Who You Are

• Applied ML Engineer: Experience building ML-driven applications using LLMs, with emphasis on real-world deployment.
• Strong with Vector Tech: Experience with vector databases, structuring embeddings, and retrieval for scalable performance.
• Startup-Minded: Comfortable wearing multiple hats and navigating ambiguity with a bias toward action.
• Curious & Fast-Learning: Quick to learn new tools, iterate fast, and thoughtful about technical tradeoffs.
• Mission-Aligned: Committed to creating technology that addresses important problems responsibly and sustainably.

Tools We Use

• Python (and typical ML ecosystem)
• Open-source and API-based LLM retrieval frameworks (e.g., LangChain, LlamaIndex)
• Cloud-native infra (AWS)

We prioritize your ability to learn and execute over ticking every tech box.

Why Join

• Shape the Future: Influence product roadmap and team values from the ground floor.
• Mission-Driven Work: Develop tools that help organizations make better decisions.
• Work Autonomously: High-trust, high-impact environment with ownership from day one.
• Growth Opportunities: Collaborate with experienced founders and early users to rapidly develop your skills and career.