C
Python Developer - Security - Cambridge/London
Cambridge
3 hours ago
Full-time
On-site
Cambridge, Cambridgeshire
Security
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
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