Founding ML Engineer - Climate Tech

JR United Kingdom; Leicester; Remote; GBP 50,000 - 75,000; Full time

Job summary

Une entreprise technologique en pleine croissance recherche un ingénieur ML fondateur pour rejoindre son équipe missionnée. Vous aurez l'opportunité de construire des systèmes, de travailler directement avec les utilisateurs et de contribuer à l'avenir de la technologie dans le domaine du climat. En tant que membre clé, vous influencerez les standards techniques et la culture de l'entreprise dès le départ.

Benefits

Travail autonome

Environnement de haute confiance

Possibilité d'évolution des compétences

Qualifications

• Expérience dans la construction d'applications basées sur le ML, de préférence en déploiement.
• Connaissance des bases de données vectorielles.
• Esprit adapté aux startups, capable de gérer l'ambiguïté.

Responsibilities

• Concevoir et mettre en œuvre des pipelines RAG prêts pour la production.
• Créer des infrastructures ML scalables pour traiter des documents non structurés.
• Collaborer avec des parties prenantes internes et externes.

Skills

Machine Learning

Vector Databases

Cloud Computing

Python

Tools

AWS

Job description

Social network you want to login/join with:

col-narrow-left

Client:

Paradigm Talent

Location:

Job Category:

Other

-

EU work permit required:

Yes

col-narrow-right

Job Views:

2

Posted:

06.06.2025

Expiry Date:

21.07.2025

col-wide

Job Description:

? London preferred, remote considered (UK-based)

? Early-stage | High ownership | Real-world impact

About the Company

We’re an early-stage technology, our platform makes unstructured documents searchable, explainable, and useful - giving users the insights they need to make faster and more informed decisions.

We’re building a founding team of engineers who are passionate about solving meaningful real-world problems in the climate-tech space using cutting-edge AI. We’re already working with forward-thinking organisations and are now focused on scaling the next version of the 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 - not just in theory, but in production.

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 an emphasis on real-world deployment rather than just experimentation.
• Strong with Vector Tech: You’ve worked with vector databases and know how to structure embeddings and retrieval for scalable performance.
• Startup-Minded: You’re comfortable wearing multiple hats and navigating ambiguity with a bias toward action.
• Curious & Fast-Learning: You pick up new tools quickly, iterate fast, and are thoughtful about technical tradeoffs.
• Mission-Aligned: You care about creating tech that solves important problems in a responsible and lasting way.

What We’re Working With

• We’re early-stage and flexible, but current tools include:
• Python (and typical ML ecosystem)
• Open-source and API-based LLMs Retrieval frameworks (e.g., LangChain, LlamaIndex)
• Cloud-native infra (AWS)

We care more about your ability to learn and execute than ticking every tech box.

Why Join

• Shape the Future: Join at the ground floor and influence everything from the product roadmap to team values.
• Mission-Driven Work: Build tools that help organisations make better decisions in complex domains.
• Work Autonomously: High trust, high impact environment with real ownership from day one.
• Growth-Oriented: Work closely with experienced founders and early users to rapidly develop your skills and career.