Key Responsibilities: Develop, maintain, and optimize high-quality Python applications Design and implement RESTful APIs and integrations Work with cross-functional teams to translate requirements into technical solutions Contribute to architectural decisions and system improvements Write clean, efficient, and well-documented code Participate in code reviews and ensure best practices Troubleshoot production issues and support deployments Job Experience and Key Requirements: 36 years of professional Python development experience Strong understanding of Python frameworks such as Django, Flask, or FastAPI Proficiency in SQL and experience with databases (PostgreSQL, MySQL, etc.) Experience with version control (Git) and CI/CD pipelines Solid understanding of software design principles and best practices Familiarity with cloud platforms (AWS, Azure, or GCP)

What you will be doing: The key purpose of this role is to work within a Data Science team in researching, developing, and implementing Machine Learning, Natural Language Processing (NLP), and Large Language Model (LLM) systems. This includes building systems from prototype through to production, evaluating their effectiveness, and developing and maintaining data pipelines and integrations. The role requires close collaboration with data scientists, developers, system architects, and operations teams, working with significant stakeholder engagement and interest throughout the process. Work within a specialised team of data scientists and developers to deliver, maintain, and expand machine learning, NLP, and LLM systems. Develop and implement reusable data pipelines for structured, unstructured, text, and document data. Build reusable ML and LLM components, micro-services, and data solutions. Ensure all pipelines and components maintain compliance with privacy, security, compliance, and data quality standards. Stay updated on the latest technologies and software to ensure fit-for-purpose solutions. Collaborate with system architects, data scientists, and business stakeholders in operations and healthcare contexts. Implement strategies for post-production model monitoring in collaboration with data scientists. Document code, participate in code reviews, and provide progress updates. What we are looking for : Completed Degree in Computer Science, Engineering, Software Engineering, or similar, or equivalent experience. 3 – 5 years work experience as a Developer or Data Engineer, with a Python focus. Significant experience with Python Experience with SQL Experience with containerization (Docker, Kubernetes) Experience building and hosting microservices DevOps/DataOps and CI/CD skills Experience designing table structures and schemas will be advantageous Experience working with diverse data teams to understand data sources and build integrations will be advantageous Skills in Java, Scala, or R will be advantageous Advantageous: experience working with unstructured text and document data (HTML, PDF etc.) and related pipelines to store and query this data Advantageous: Experience with Azure or GCP Please note that if you do not hear from us within 3 weeks, consider your application unsuccessful.