ROLE: Machine Learning Developer
HOURS: Full-time
LOCATION: Bristol (hybrid)
At Mitie, our people are our greatest strength, and our promise is to create a place to work where you can thrive and be your best every day. We’re looking for a Machine Learning Developer to join our Insight function within the Data & AI team, helping to design, build and deploy intelligent, data‑driven solutions that improve operational efficiency and support better organisational decision-making.
You’ll work on production‑grade machine learning and LLM‑enabled products, collaborating with a wide range of technical and non‑technical stakeholders to turn complex requirements into scalable, real‑world solutions.
Role Responsibilities:
* Develop, deploy and maintain machine learning models using Python, in line with engineering, governance and security standards.
* Query, transform and optimise data using SQL and SparkSQL to support advanced analytics and modelling.
* Apply LLMs, embeddings and natural language processing techniques to enhance analytical capability and insight.
* Build and support cloud-based data and ML workflows using Azure, Microsoft Fabric or equivalent platforms.
* Translate business problems into clear analytical and technical specifications, ensuring solutions align with user needs.
* Communicate complex technical concepts clearly to both technical and non-technical audiences.
* Ensure high standards of code quality, documentation and maintainability across all solutions.
Required Qualifications:
* A STEM degree or equivalent experience, with a strong mathematical, analytical or software-focused background.
* Proven experience using Python, SQL and SparkSQL in data or ML-focused roles.
* Strong understanding of machine learning concepts and experience using common ML libraries such as scikit‑learn, TensorFlow or PyTorch, alongside packages such as NumPy and Pandas.
* Knowledge of natural language processing techniques and API integration patterns for ML services.
* Experience delivering projects end-to-end, from initial concept through to production deployment.
* Ability to manage competing priorities, work independently and collaborate effectively with stakeholders.
Desirable Skills:
* Experience with Microsoft Fabric, Azure Machine Learning or similar enterprise cloud platforms.
* Exposure to MLOps practices, lifecycle management and large-scale or distributed compute environments.
* Familiarity with agentic AI concepts and frameworks such as LangChain, AutoGen or CrewAI, with an interest in developing deeper expertise.