Full Stack Engineer - Python (AI Platform)

12-month contract - Extendable

Immediate/short notice availability would be advantageous

We are looking for an experienced Full Stack Engineer to join a technology team working on AI and data-driven platforms . The successful candidate will be responsible for developing scalable applications and data solutions, working across backend, cloud, data engineering and AI/ML capabilities.

• Design, develop and maintain full-stack applications and scalable backend services.
• Develop robust solutions using Python and modern software engineering practices.
• Work with AWS cloud services to build, deploy and support cloud-based applications.
• Develop and optimise SQL queries and work with large-scale datasets.
• Work with Apache Spark / PySpark for large-scale data processing and transformation.
• Collaborate with data scientists and AI/ML teams to integrate machine learning and AI capabilities into applications.
• Contribute to projects involving LLM / Generative AI technologies.
• Participate in system design, development, testing, deployment and ongoing optimisation.
• Troubleshoot technical issues and ensure the reliability, scalability and performance of applications.
• Work closely with cross-functional teams to understand requirements and deliver high-quality solutions.

• Strong hands-on experience in Python development .
• Solid experience in AWS and cloud-based application development.
• Strong knowledge of SQL and relational databases.
• Hands-on experience with Apache Spark / PySpark .
• Experience working with data engineering, ML or AI-related projects .
• Good understanding of software development lifecycle and engineering best practices.
• Strong problem-solving and analytical skills.
• Ability to work effectively in a collaborative, fast-paced environment.

• Experience with Databricks .
• Exposure to Machine Learning solutions and frameworks.
• Experience working with LLMs / Generative AI .
• Experience building or integrating AI/ML platforms .
• Familiarity with modern DevOps, CI/CD and cloud deployment practices.