CONSIGLI

About the Company

Consigli, The Autonomous Engineer, is an AI agent that reduces risk, cost and carbon footprint in the Real Estate and Construction industry. Our AI transforms architectural models and strategy documents into fully engineered interdisciplinary BIM with all the reports and strategy drawings associated, ready for tendering. For real estate developers, Consigli accelerates design timelines to enable earlier tenant move-in—unlocking revenue up to a year sooner. It reduces technical system costs by 20%, cuts refurbishment costs by up to 40%, and lowers financial risk through greater transparency and reduced reliance on consultants. With smarter engineering and space optimization, it also enhances overall building quality and value. For general contractors, Consigli brings clarity to tender and contract risks, eliminates up to 20% of material waste and design clashes, and simplifies coordination with subcontractors. It supports fast, low-risk redesigns during construction and helps teams bid more competitively—with higher margins and reduced risk. Since 2020, Consigli has consistently delivered measurable, global results. From our offices in Oslo and London we support clients in Europe, USA and Asia and have firmly established ourselves as the go-to AI solution for smarter, more sustainable building engineering.

Listed Jobs

Company Name

CONSIGLI

Job Title

LLM / NLP Engineer

Job Description

**Job title:** LLM / NLP Engineer **Role Summary:** Design, build, and deploy production‑ready large language model and natural language processing solutions that transform unstructured text into structured knowledge for a SaaS platform. Work end‑to‑end from data preparation and model training to evaluation, deployment, and monitoring, collaborating closely with product and domain experts. **Expactations:** - Deliver robust NLP/LLM features that meet business requirements. - Maintain high quality code and ML pipelines, ensuring scalability and reliability. - Communicate model insights and results to cross‑functional teams. **Key Responsibilities:** - Design and implement NLP/LLM architectures using state‑of‑the‑art techniques (e.g., Transformers, CNNs, RNNs). - Build pipelines for text representation, semantic extraction, named entity recognition, information extraction, and entity linking. - Fine‑tune, prompt‑engineer, and apply context or retrieval‑augmented generation to solve domain‑specific challenges. - Prepare and clean large‑scale datasets, perform feature engineering, and manage data workflows. - Train, evaluate, and optimize models, then deploy and monitor them in a cloud environment (Azure). - Integrate NLP capabilities into the SaaS platform in collaboration with product and engineering teams. **Required Skills:** - Expertise in Python and ML/NLP frameworks (SpaCy, PyTorch, TensorFlow, Keras). - Deep knowledge of Transformers, CNNs, RNNs, and other modern ML methods. - Hands‑on experience with end‑to‑end ML lifecycle: data prep, training, evaluation, deployment, monitoring. - Proven ability to solve NER, IE, and entity‑linking tasks. - Strong analytical and problem‑solving skills. - Effective communication and teamwork in cross‑functional environments. **Required Education & Certifications:** - Master’s degree in Computer Science, Data Science, Computational Linguistics, or a closely related field.

London, United kingdom

On site

18-11-2025

Company Name

CONSIGLI

Job Title

Senior Machine Learning Engineer

Job Description

**Job title:** Senior Machine Learning Engineer **Role Summary:** Lead end‑to‑end development and deployment of AI/ML solutions for a SaaS platform in the engineering sector, translating research advances into production‑ready tools that optimize building design and construction processes. **Expectations:** - Deliver scalable, high‑performance ML models and pipelines. - Collaborate with platform, product, and domain experts to integrate AI capabilities. - Maintain rigorous standards for model monitoring, data integrity, and continuous improvement. **Key Responsibilities:** - Apply cutting‑edge AI models (e.g., generative AI, reinforcement learning) to solve engineering problems. - Design, implement, and production‑grade deploy machine learning frameworks. - Build robust data pipelines, feature stores, and monitoring systems. - Work closely with SaaS product teams to embed ML functionality into services. - Participate in full ML lifecycle: data wrangling, experimentation, validation, deployment, and post‑deployment monitoring. - Stay informed on latest research and propose novel solutions. **Required Skills:** - Master’s or PhD in Engineering, Data Science, Operations Research, Applied Mathematics, or related field. - Advanced Python programming for ML, statistical modeling, and mathematical optimization. - Proven experience deploying ML models in production (cloud or on‑prem). - Strong communication skills for articulating technical decisions and trade‑offs. - Self‑motivated, collaborative, and able to thrive in fast‑paced environments. **Preferred Skills:** - Experience with Azure ML, AWS SageMaker, or equivalent cloud ML services. - Knowledge of civil, HVAC, or mechanical engineering domains (a plus). **Required Education & Certifications:** - Master’s degree or higher (PhD preferred) in a relevant technical discipline.

London, United kingdom

On site

Senior

18-11-2025