Machine Learning Engineer

**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.