Software Developer (Video, Computer Vision)

JR United Kingdom; Cambridge; On-site; GBP 40,000 - 65,000; Full time

Job summary

A fast-growing sports analytics innovator in Cambridge is seeking a Software Developer to join their AI/Computer Vision team. This role focuses on enhancing real-time video processing and developing cloud-based solutions. Candidates should have strong proficiency in video processing techniques and DevOps practices, and are expected to work collaboratively in a dynamic environment.

Qualifications

• Experience with video processing (FFmpeg, GStreamer/DeepStream).
• Proficiency with Docker, Linux, and FastAPI or similar.
• Knowledge of DevOps and CI/CD practices.

Responsibilities

• Leverage GStreamer for multimedia processing.
• Develop APIs for computer vision applications.
• Implement CI/CD pipelines for cloud deployments.

Skills

Video processing

DevOps

APIs

Collaboration

Tools

Docker

Linux

FastAPI

GStreamer

FFmpeg

Cloud platforms

Job description

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Job Views:

4

Posted:

31.05.2025

Expiry Date:

15.07.2025

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Job Description:

Software Developer (Video, Computer Vision)

A fast-growing sports analytics innovator using AI and computer vision for real-time data solutions. Recently secured funding for 30 months of runway and growth, backed by sports teams, funds, and private investors. Focused on football and US sports, working on 2-3 key projects.

Role Overview:

Join our AI/Computer Vision team to optimise real-time video processing pipelines, transition computer vision modules to production, enhance DevOps practices, and build APIs. Ideal for a Developer eager to grow in computer vision and AI.

Key Responsibilities:

• Leverage GStreamer (ideally Nvidia DeepStream) for multimedia processing.
• Develop APIs with FastAPI for computer vision applications.
• Implement CI/CD pipelines for cloud and edge deployments.
• Collaborate to integrate solutions and monitor systems.

Requirements:

• Experience with video processing (FFmpeg, GStreamer/DeepStream) and video codecs.
• Proficiency with Docker, Linux, and FastAPI or similar frameworks.
• Knowledge of DevOps, CI/CD, and cloud platforms (Azure/AWS).
• Understanding of edge computing.
• Passionate, collaborative, and adaptable to a small team.
• UK timezone alignment; flexible for occasional global collaboration.