Global Remote Sensing Manager in Manchester

Global Remote Sensing Manager in Manchester

Manchester Full-Time 35904 - 35904 £ / year (est.) No working from home possible
MAG (Mines Advisory Group)

At a Glance

  • Tasks: Lead innovative remote sensing projects to enhance humanitarian efforts globally.
  • Company: Join MAG, a Nobel Peace Prize-winning humanitarian organisation making a real difference.
  • Benefits: Enjoy competitive salary, generous leave, and comprehensive insurance coverage.
  • Other info: Flexible working options available; diverse and inclusive workplace culture.
  • Why this job: Make an impact in global humanitarian work while working remotely and travelling.
  • Qualifications: Proficiency in remote sensing, GIS software, and strong project management skills required.

The predicted salary is between 35904 - 35904 £ per year.

Global Remote Sensing Manager Remote (from home) with travel. Starting salary for this position is £35,904 GBP / approx. $48,100 USD per annum.

About MAG

MAG (Mines Advisory Group) is an international humanitarian organisation based in Manchester, UK, and working in 32 countries. We remove landmines and unexploded ordnance to release safe and productive land for communities, and work to reduce the threat of armed violence by supporting governments to safely manage weapons and ammunition. In 1997, MAG was a co‑recipient of the Nobel Peace Prize for our work campaigning for the Anti‑Personnel Mine Ban Convention.

About the role

Joining our growing Programme Information Management unit, you will develop practical, innovative methodologies and tools to enhance MAG’s operational efficiency, decision making, and situational awareness across our global portfolio of programmes. You will lead research and development processes to advance the use of Earth Observation (EO) data and drone‑based solutions in Humanitarian Mine Action (HMA) and Weapon and Ammunition Management (WAM) operational contexts. You will play a key role in partnership development, particularly focused on enriching our theoretical and empirical practices. You will integrate environmental considerations and uphold MAG’s core values to promote our mission and extend our impact where it matters most.

Please note that as part of MAG's commitment to safeguarding, this post is subject to background checks before an offer of employment is confirmed. MAG is committed to the principles of diversity, equality and inclusion. If you think you would be suited to one of our roles we would welcome your application regardless of your background. We strive to provide an inclusive and supportive working environment where all employees feel respected and supported in fulfilling their potential.

About you

  • Proficiency with remote sensing systems and GIS software for data processing, analysis, including machine learning, and visualization is essential.
  • You should have proven experience leading on remote sensing projects, including developing operational use cases and standard operating procedures.
  • You should hold a degree in a relevant field, with strong skills in project management and report writing.
  • You will be a strong communicator, able to translate complex data into actionable insights and build meaningful partnerships to enhance MAG’s practice.
  • You should be adaptable and proactive, with the willingness and flexibility to travel internationally, including in challenging environments.
  • Formal training or certification in drone operations, and knowledge of international standards and best practices for humanitarian mine action and weapons and ammunition management would be advantageous.

We’re looking for someone with:

  • Proficiency with remote sensing platforms (satellites, drones) and sensor technologies (optical, radar, LiDAR, multispectral), combined with hands‑on experience using GIS software (e.g., ArcGIS, QGIS, ENVI, ERDAS Imagine) for data processing, analysis, and visualization.
  • Familiarity with satellite imagery providers and datasets, including both open‑access (e.g., Copernicus/Sentinel, Landsat) and commercial sources (e.g., Maxar, Planet, Airbus).
  • Proficiency in machine learning techniques for geospatial data analysis, including image classification, feature extraction, and predictive modeling.
  • Desirable experience with drone data workflows, including flight planning, photogrammetry, and orthomosaic/3D model generation, alongside knowledge of safe operational procedures and relevant regulations.

Benefits and Further Information

  • Salary: £35,904 per annum and this increases with service.
  • Pension: MAG has a salary sacrifice group personal pension plan in place, and matches employee’s contributions up to 5%. This is only available to individuals based in the UK.
  • Leave: Annual Leave starts at five weeks each year and increases with service to six weeks. We also offer paid sick leave, and the amount of the entitlement increases with service. Once you’ve been with MAG for two years, you’re entitled to 13 weeks.
  • Insurance: MAG provides personal accident insurance and life assurance to all staff, as well as medical and repatriation insurance for any period spent overseas whilst working for MAG.
  • Professional Subscriptions: MAG will pay for the cost of your annual subscription/membership fee for one professional body in certain circumstances.
  • Employee Assistance Programme: MAG offers free access to Health Assured, a service providing 24/7 confidential support and expert advice on a wide range of issues.

This role is based remotely from home, with expected travel around 30% of working time. MAG will consider applications from candidates who are based in any country, however the final decision on whether employment in a specific country location can be supported will be based on a compliance and budget check and be reviewed by MAG’s senior management.

We are happy to receive flexible working and job share requests in your application. If you are applying with an existing job share partner email us at recruitment@maginternational.org for further guidance.

HOW TO APPLY

Please apply by submitting an application detailing your suitability for the role through the link below before the closing date of Monday 6th July 2026.

Global Remote Sensing Manager in Manchester employer: MAG (Mines Advisory Group)

MAG (Mines Advisory Group) is an exceptional employer that prioritises meaningful work and employee development in a collaborative environment. Based in Manchester, we offer competitive salaries, comprehensive benefits, and the chance to make a global impact through our commitment to safeguarding and inclusion. Join us to grow your career while contributing to vital humanitarian efforts across 32+ countries.

MAG (Mines Advisory Group)

Contact Details:

MAG (Mines Advisory Group) Recruitment Team

We think you need these skills to ace Global Remote Sensing Manager in Manchester

Remote Sensing Systems
GIS Software (e.g., ArcGIS, QGIS, ENVI, ERDAS Imagine)
Data Processing and Analysis
Machine Learning Techniques
Image Classification
Feature Extraction
Predictive Modelling