Data/AI Engineer, Engineering AI & Data, AI & Data Solutions

With a Data/AI Engineer role, you will enjoy working with data and AI technologies, value clean[DEL: , :DEL] reliable solutions, and want to deliver practical, business-focused outcomes. Applicants may have a background in either Data or AI engineering, with a keen interest in driving value from data using modern AI and analytics techniques.

As a Data / AI Engineer, you will design, build, and maintain data pipelines, analytical solutions, and AI-enabled capabilities that support business decision-making and digital transformation. You will work closely with analysts, engineers, and stakeholders to turn data into reliable, scalable, and impactful solutions.

• Data Engineering & Development: Design, build, and maintain scalable data pipelines, datasets, and data models to support analytics, reporting, and AI use cases.
• AI & Advanced Analytics: Develop and implement AI / machine learning models where appropriate, supporting use cases such as prediction, classification, automation, and insight generation.
• Generative AI and Context Engineering: Develop generative AI enabled solutions using large language models and context/prompt engineering.
• Data Integration: Integrate data from multiple sources, ensuring data quality, consistency, and reliability.
• Collaboration: Work closely with Business Analysts, Data Analysts, and product teams to understand requirements and translate them into technical solutions.
• Testing & Quality: Implement testing, validation, and monitoring to ensure data accuracy, model performance, and solution reliability.
• Performance & Optimisation: Optimise data processing, storage, and model performance for scalability and efficiency.
• Documentation: Produce clear technical documentation covering data models, pipelines, logic, and assumptions.
• Governance & Security: Adhere to data governance, security, and privacy standards throughout the development lifecycle.

• Proven experience as a Data Developer, Data Engineer, AI Engineer, or similar role.
• Strong programming skills in Python, SQL, and/or similar languages.
• Experience building data pipelines and working with structured and unstructured data.
• Familiarity with Generative AI and/or machine learning frameworks (e.g. scikit-learn, TensorFlow, PyTorch, Langchain) is desirable.
• Experience with cloud data platforms, data warehouses, or big data technologies is an advantage.
• Strong analytical and problem-solving skills, with attention to detail.
• Ability to communicate technical concepts clearly to non-technical stakeholders.
• Experience working in Agile delivery environments.

Appointment to this role is subject to the candidate being eligible for and successfully obtaining UK Security Check (SC) security clearance.

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