Founding ML Engineer - Climate Tech

Paradigm Talent; London; Hybrid; GBP 50,000 - 60,000; Full time

Job summary

Join an early-stage tech company as a Founding ML Engineer, where you'll have the opportunity to shape the future of AI in climate-tech. You'll design production-ready systems, develop robust ML infrastructure, and work directly with stakeholders to create real-world impacts.

Benefits

High ownership from day one

Work closely with experienced founders

Flexible working environment

Qualifications

• Mid-Senior level role focused on ML applications.
• Experience in production ML environments required.
• Ability to work on unstructured data parsing and retrieval.

Responsibilities

• Design and implement production-ready RAG pipelines.
• Develop adaptable ML infrastructure for document processing.
• Collaborate with users to enhance product utility.

Skills

Experience building ML-driven applications

Strong with vector tech

Startup mindset

Curious & fast-learning

Education

Degree in Computer Science or related field

Tools

Python

AWS

Job description

Get AI-powered advice on this job and more exclusive features.

Direct message the job poster from Paradigm Talent

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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Science

• Industries

  Environmental Services, Climate Data and Analytics, and Software Development

Referrals increase your chances of interviewing at Paradigm Talent by 2x

Get notified about new Machine Learning Engineer jobs in London Area, United Kingdom.

London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 3 days ago

Graduate Software Engineer – ML Data Platform

London, England, United Kingdom 1 month ago

London, England, United Kingdom 5 hours ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 2 weeks ago

Machine Learning Scientists and Engineers: AI for Quantum

London, England, United Kingdom 1 month ago

London, England, United Kingdom 3 weeks ago

City Of London, England, United Kingdom 3 weeks ago

Associate Data Scientist, Growth Analytics

London, England, United Kingdom 6 days ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 4 months ago

London, England, United Kingdom 5 months ago

London, England, United Kingdom 1 day ago

London, England, United Kingdom 21 hours ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom £50,000.00-£60,000.00 1 month ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 4 months ago

London, England, United Kingdom 1 month ago

Greater London, England, United Kingdom 5 days ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 3 days ago

London, England, United Kingdom 4 days ago

Machine Learning Engineer - Up to £150k + Equity

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.