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# Python Developer - Security - Cambridge/London

- **Company:** Salt Search Ltd.
- **Location:** London, UK
- **Experience:** Experienced
- **Salary:** £55,000.0 - £75,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Computing, Code Review, Continuous Integration, Software Debugging, Python (Programming Language), Datadog, Backend, Kubernetes, Information Technology, Data Pipelines, Docker
- **Published:** September 2, 2026
- **Apply:** https://www.totaljobs.com/job/python-developer/salt-job107923034

## About the Role

My new client is looking for a problem-solving focused mid-level Python engineer (specialist) who wants to build product features in a research-driven environment. You'll be expected to contribute to product development, deliver clean, testable Python code, collaborate with small cross-functional teams, and communicate your thinking clearly in high-cadence development cycles., * Strong Python proficiency (day-to-day production experience).

 * Demonstrable problem-solving aptitude - ability to break down ambiguous problems and explain reasoning clearly.
 * Experience working in small teams or fast-moving product environments where engineers wear multiple hats.
 * Practical familiarity with containers (Docker) and general cloud concepts.
 * Good communication skills - able to think out loud during live problem-solving.
 * Typically 3+ years' relevant experience (flexible; equivalent experience or strong demonstrable ability considered).

Desirable (but not required)

 * Experience with Kubernetes or container orchestration.
 * Exposure to ML/AI projects, data pipelines, or research-driven engineering.
 * Experience with observability tooling, CI/CD, and testing best practices.
 * Degree in Computer Science, Engineering, or related technical field (or demonstrable equivalent).

*Rates depend on experience and client requirements

## Description

* Design, implement, test, and maintain backend services and prototypes in Python.
 * Work from prototype/research outputs to production-ready components alongside ML/AI researchers and SREs.
 * Participate in live coding/problem-solving rounds during development and code reviews.
 * Collaborate closely with product managers and researchers to translate ideas into working demos and production features.
 * Help troubleshoot, debug, and optimise systems (performance, reliability, observability).
 * Contribute to CI/CD, containerisation (Docker) workflows, and cloud deployment patterns as required.
 * Communicate trade-offs and design decisions clearly; adapt to changing requirements.