About the Position

• 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.

Responsibilities include

• 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.

Personal Attributes and Technical Skills

• Significant experience with Python
• Experience with SQL
• Experience with containerization (Docker, Kubernetes)
• Experience building and hosting microservices
• DevOps/DataOps and CI/CD skills
• Advantageous: experience designing table structures and schemas
• Advantageous: experience working with diverse data teams to understand data sources and build integrations
• Advantageous: skills in Java, Scala, or R
• 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
• Strong planning, organizational, scoping, and time management skills
• Strong analytical, critical, conceptual thinking, and problem-solving skills
• Strong oral and written communication skills
• Self-motivated and proactive, with a strong ability to identify and tackle challenges and solve problems independently, demonstrating a keen entrepreneurial spirit.
• Resilient and optimistic

Education and Experience

• 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.