LLM / NLP Engineer

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At Consigli, we’re building technology that transforms how engineering and real estate projects are designed and delivered. We’re now looking for an LLM/NLP Engineer to help develop and integrate cutting‑edge natural language technology into our platform.

This role is about taking state‑of‑the‑art NLP and large language model techniques and applying them to real‑world problems — turning unstructured text and other forms of data into structured, actionable knowledge.

What You’ll Do

• Design, implement, and deploy NLP/LLM based solutions into production
• Using various LLM models with latest approaches (agentic, context engineering) to solve challenging problems
• Work end‑to‑end on ML solutions: from data preparation and model training to evaluation, deployment, and monitoring
• Develop text representation and semantic extraction pipelines for structured knowledge from unstructured data
• Apply advanced machine learning techniques (Transformers, CNNs, RNNs) to tasks such as Named Entity Recognition, Information Extraction, and Entity Linking
• Collaborate with product teams and domain experts to integrate NLP features into our SaaS platform

Must‑Have Qualifications

• Master’s degree in Computer Science, Data Science, Computational Linguistics, or related field
• Hands‑on experience with NLP techniques for text representation and semantic data extraction
• Proven experience working end‑to‑end on ML solutions
• Proficiency in Python and ML/NLP frameworks (SpaCy, PyTorch, TensorFlow, Keras)
• Strong understanding of state‑of‑the‑art ML methods including Transformers, CNNs, and RNNs
• Experience solving NLP tasks such as Named Entity Recognition, Information Extraction, and Entity Linking

Preferred Skills

• Experience working with legal or technical documents
• Familiarity with large‑scale data pipelines and deployment in cloud environments (we use Azure)
• Knowledge of LLM techniques such as fine‑tuning, prompt engineering, context engineering, or retrieval‑augmented generation (RAG)
• Strong communication skills and the ability to work in cross‑functional teams

Our Hiring Process

• Questionnaire to get a feel for your mindset and priorities
• Coding case: A hands‑on task to assess your problem‑solving and technical skills
• In‑person meeting with our leadership team — COO, Head of Product, and CTO
• Final cultural fit check with our CEO
• Work on real‑world problems where NLP and LLMs make a measurable impact
• Be part of a team where your work matters, and your ideas become real
• Collaborate with sharp, driven colleagues in a culture of trust, ownership, and high standards
• Enjoy a dynamic hybrid setup, balancing focus and collaboration
• Contribute to building smarter, more sustainable solutions for the built environment

Seniority level

• Entry level

Employment type

• Full‑time

Job function

• Engineering and Information Technology

Location: Harrow, England, United Kingdom