Computer Vision Manager

OxTS RD

Middleton Stoney

On-site

GBP 90,000 - 130,000

Full time

3 days ago
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Benefits offered by this job

Discretionary annual profit share
27 days annual leave plus bank/public
5% employee and 5% employer pension
Group Income Protection Insurance
Private Medical Insurance
Death In Service Scheme
Electric Vehicle Scheme
Smart casual dress code

Job summary

OxTS RD in Middleton Stoney, United Kingdom, seeks a Computer Vision Manager to lead a team delivering SLAM, perception and sensor‑fusion for real‑world navigation products.

You will stay technically engaged, guiding architecture, reviews, coaching and delivery while turning research ideas into reliable engineering software. This role blends computer vision, robotics and geospatial data with agile delivery and cross‑functional collaboration.

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.

Responsibilities

  • 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.
  • 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.
  • 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

Team leadership
Strong communication
Software engineering
Software architecture
Coaching engineers

Education

Bachelor's degree in Computer Science or Software Engineering

Tools

C++
Python
Linux
Docker
CUDA

Job description

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
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