AI / Machine Learning Engineer

We are looking for a highly motivated and technically skilled individual who is excited by the opportunity to apply advanced data science and AI techniques to real-world challenges. You will hold a Master’s degree in Data Science, Artificial Intelligence, Computer Science or a closely related discipline, or a Bachelor’s degree in a related field backed by substantial relevant experience, and you will bring proven experience of developing machine learning models using complex, multi-source datasets.

You will be confident working across the full data lifecycle from data engineering and model development through to deployment into practical tools such as dashboards or decision-support systems and able to communicate complex technical concepts clearly to non-technical stakeholders.

Strong programming skills in Python, alongside proficiency in SQL, are essential, as is a solid understanding of machine learning workflows, model validation and performance evaluation. You will be comfortable designing scalable analytical solutions, integrating data from a variety of sources (including sensor data), and working with visualisation tools such as Power BI.

We are particularly interested in candidates who are a strong technical foundation in machine learning and data engineering, the ability to translate analysis into real-world applications, and a genuine interest in applying your expertise to sustainability, housing and net zero challenges.

You will lead a major innovation programme, developing and delivering a scalable, AI-driven system that enables housing providers to better interpret and act on large-scale building data, improving maintenance decision-making, reducing costs and supporting the decarbonisation of housing stock.

Working at the heart of the business, you will take ownership of the full project lifecycle from acquiring and integrating multiple data sources, developing and validating machine learning models, building data pipelines and dashboards, and translating technical outputs into actionable insights for operational and strategic stakeholders.

This is an exciting opportunity to manage and deliver a challenging strategically important project working with academic mentors and key support from the company to transfer academic expertise into a real-world business environment.