ML Developer

Job Overview - Machine Learning Developer

The Machine Learning (ML) Developer will operate within the Insight function of the Data & AI team, delivering production-grade ML and LLM-enabled solutions. The role supports the development, deployment, and maintenance of data-driven products that enhance operational efficiency and organisational decision-making. Key Responsibilities

• Develop and operationalise machine learning models using Python in line with engineering and governance standards.
• Query, transform, and optimise data using SQL and SparkSQL.
• Apply LLMs, embeddings, and NLP techniques to enhance analytical outputs.
• Build and maintain cloud-based data and ML workflows within Azure, Microsoft Fabric, or equivalent platforms.
• Translate business requirements into clear analytical and technical specifications.
• Communicate complex concepts effectively to technical and non-technical stakeholders.
• Ensure code quality, maintainability, and compliance with software engineering standards.
• Use industry-standard ML libraries and APIs to deliver scalable, reliable solutions.

Candidate Profile Essential Criteria

• A STEM degree is preferred; candidates with strong mathematical, analytical, or software-adjacent backgrounds will also be considered.
• Proficiency in Python, SQL, and SparkSQL.
• Ability to work independently and manage competing priorities effectively.
• Strong communication skills for engaging diverse stakeholder groups.
• Proven ability in stakeholder and project management, including leading meetings and managing timelines.
• Knowledge of natural language processing methods.
• Ability to work with common ML libraries (e.g., scikit-learn, TensorFlow, PyTorch) for prototyping and assessment, along with other packages (Numpy/Pandas).
• Understanding of API usage and integration patterns for ML services.
• Experience in end-to-end delivery of projects from inception to production.

Desirable Criteria

• Familiarity with agentic AI concepts and frameworks (e.g LangChain, AutoGen, CrewAI) with interest in developing deeper expertise.
• Experience with Microsoft Fabric, Azure Machine Learning, or similar enterprise cloud environments.
• Exposure to MLOps practices and lifecycle management.
• Experience with distributed compute or large-scale data environments.
• Experience with agentic or autonomous LLM-driven system design.

• A STEM degree is preferred; candidates with strong mathematical, analytical, or software-adjacent backgrounds will also be considered.
• Proficiency in Python, SQL, and SparkSQL.
• Ability to work independently and manage competing priorities effectively.
• Strong communication skills for engaging diverse stakeholder groups.
• Proven ability in stakeholder and project management, including leading meetings and managing timelines.
• Knowledge of natural language processing methods.
• Ability to work with common ML libraries (e.g., scikit-learn, TensorFlow, PyTorch) for prototyping and assessment, along with other packages (Numpy/Pandas).
• Understanding of API usage and integration patterns for ML services.
• Experience in end-to-end delivery of projects from inception to production., * Familiarity with agentic AI concepts and frameworks (e.g LangChain, AutoGen, CrewAI) with interest in developing deeper expertise.
• Experience with Microsoft Fabric, Azure Machine Learning, or similar enterprise cloud environments.
• Exposure to MLOps practices and lifecycle management.
• Experience with distributed compute or large-scale data environments.
• Experience with agentic or autonomous LLM-driven system design.