Computer Vision Manager

Department: Engineering

Employment Type: Full Time

Location: Middleton Stoney, United Kingdom

Reporting To: Director of Technology and Innovation

Description

We have an exciting new opportunity for a Computer Vision Team Manager to lead the development of advanced SLAM, perception and sensor-fusion capabilities for real-world navigation and mapping products. This role sits at the intersection of computer vision, navigation, geospatial data, embedded systems and engineering delivery.

You will manage a small-to-medium engineering team working across algorithm development, production software, integration and testing. In this role you are expected to remain technically engaged, with a strong emphasis on architecture, design review, technical coaching and delivery leadership.

This is an opportunity to lead a technically strong team working on real-world mapping and navigation challenges. You will influence product direction, shape the architecture of advanced mapping and localisation systems, and help turn research-grade algorithms into reliable engineering products.

Key Responsibilities

Leadership & People Management

• Lead, mentor, and develop a team of software engineers.


• Conduct regular 1:1s, performance reviews, including career development planning.


• Champion professional growth and skills development.


• Foster an inclusive, supportive, and high‑performing team culture.

Technical Leadership

• Provide technical direction across software design, architecture, and implementation.


• Ensure adherence to best practices in coding standards, version control, and DevOps.


• Guide technology selection and system integration.

Project & Delivery Management

• Lead end‑to‑end delivery of software projects using agile methodologies.


• Demonstrable experience delivering complex software or algorithm projects through structured engineering processes, ideally using agile methods and cross‑functional teams.


• Plan sprints, allocate resources, and manage workloads.


• Collaborate with product owners and cross‑functional teams.


• Identify and mitigate risks.

Skills, Knowledge and Expertise

Experience and Qualifications

• Degree in Computer Science, Software Engineering, related Degree or equivalent experience.


• Evidence of continuous professional development for both self and teams.


• Experience leading or technically managing software or algorithm teams.


• Strong background in computer vision, SLAM, robotics, mapping, perception and/or sensor‑fusion systems.


• Experience delivering production‑quality engineering software.


• Strong understanding of software architecture, code quality, testing and CI/CD.


• Ability to communicate technical direction clearly and coach engineers.

Desirable Experience and Skills

• Experience with LiDAR and camera data processing.


• Experience with IMU/GNSS‑aided sensor fusion.


• Experience with C++, C# or Python in engineering software.


• Familiarity with Linux, Docker, CUDA or GPU acceleration.


• Understanding of navigation, localisation or mapping products.


• Familiarity with React or web‑based visualisation tools.


• Experience using AI coding assistants to improve engineering productivity.

Benefits

• Discretionary annual profit share bonus


• 27 days annual leave plus bank holidays


• 5% employee and 5% employer contributions through our via our salary sacrifice workplace pension scheme


• Group Income Protection Insurance Scheme


• Private Medical Insurance


• Death In Service Scheme


• Electric Vehicle Scheme


• Smart casual dress code