Jobs in Manchester, United Kingdom

About the role

As a backend engineer, you will build and maintain core services across this stack, writing clean, well-tested Python while growing your craft alongside experienced engineers. This role reports to the Director of Engineering for Predictive Intelligence and works closely with backend engineers, data scientists, and platform partners.

What you'll bring

• Proven commercial professional software engineering experience building backend services.
• Solid proficiency in Python, with experience writing well-structured, tested production code.
• Experience with relational databases and SQL (e.g., Postgres)
• Exposure to containerized services and at least one major cloud (AWS, GCP, or Azure).
• Basic understanding of how ML and AI systems run in production and the data pipelines that support them.
• Familiarity with version control (Git) and collaborative development practices.
• Demonstrated ability to take ownership of well-scoped systems and deliver against requirements with some ambiguity.
• Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• Experience with data orchestration tools (e.g., Prefect, Airflow, dbt).
• Familiarity with MLOps tooling such as MLflow, or experience supporting ML workloads in production.
• Exposure to LLM or agentic application patterns and AI service integration.
• Experience operating services on Kubernetes.