Python Developer - Security - Cambridge/London

Salt Search
Cambridge, United Kingdom
Today
£55,000 pa

Salary

£55,000 pa

Posted
1 Sep 2026 (Today)

Python Developer - Security - Cambridge/London

Salary: £55k - £75k

Hybrid: 1 - 2 days per week

Start: ASAP

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.

Key Responsibilities

  • 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.

Required Skills & Experience

  • 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

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