Computer Vision Manager

OXTS; Stoney Middleton CP; On-site; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Profit sharing

Leave 27 days

Pension plan

Income protection

Private medical

Death in service

EV scheme

Smart casual

Job summary

OXTS is seeking a Computer Vision Team Manager in Middleton Stoney, United Kingdom, to lead a skilled group focused on SLAM, perception, and sensor fusion for mapping products.

You will guide architecture, reviews, and delivery while remaining technically engaged; manage cross-functional collaboration with engineering and product teams to turn research into robust software solutions.

Qualifications

• Degree in Computer Science, Software Engineering, or related field.
• Evidence of continuous professional development for self and team.
• Experience leading or technically managing software or algorithm teams.

Responsibilities

• Lead a software team delivering CV and SLAM projects.
• Provide architectural direction and ensure code quality and CI/CD.
• Plan sprints, manage resources, and coordinate with product owners.

Skills

Computer vision

SLAM

Leadership

CI/CD

Python/C++

Education

Bachelor's degree in CS/SE

Tools

Docker

Linux

CUDA

Git

Job description

Location

Location: Middleton Stoney, United Kingdom

Department

Department: Engineering

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