10 of 10 Remote Sensing Jobs in England

As Head of GI, you'll lead SAC's Geo-Intelligence and Earth Observation (EO) activities-providing expert insight, strategic direction, and team leadership. You'll be a senior remote sensing specialist, a line manager, and a champion for innovation and collaboration across SAC's Missions. You'll ensure the GI team is: The right shape and size … advice and staff support to SAC's Missions Lead thought-leadership initiatives to influence SAC strategy and sector direction Ensure technical quality in bids and project delivery Skills Required Remote Sensing Expertise: Deep experience in space-based EO and its applications, with a clear understanding of EO's strengths and limitations Downstream & Upstream Knowledge: While focused on downstream … complex concepts to diverse audiences, including public engagement and technical collaboration Experience in one or more of the following areas is highly valued: Environmental, national security, or commercial satellite remote sensing Translating data into actionable intelligence Working with end-users to ensure market relevance About us & how we work: We strive to create a high trust, high performance More ❯

As Head of GI, you'll lead SAC's Geo-Intelligence and Earth Observation (EO) activities-providing expert insight, strategic direction, and team leadership. You'll be a senior remote sensing specialist, a line manager, and a champion for innovation and collaboration across SAC's Missions. You'll ensure the GI team is: The right shape and size … advice and staff support to SAC's Missions Lead thought-leadership initiatives to influence SAC strategy and sector direction Ensure technical quality in bids and project delivery Skills Required Remote Sensing Expertise: Deep experience in space-based EO and its applications, with a clear understanding of EO's strengths and limitations Downstream & Upstream Knowledge: While focused on downstream … complex concepts to diverse audiences, including public engagement and technical collaboration Experience in one or more of the following areas is highly valued: Environmental, national security, or commercial satellite remote sensing Translating data into actionable intelligence Working with end-users to ensure market relevance About us & how we work: We strive to create a high trust, high performance More ❯

Hadoop, Apache Spark, and Kafka to ensure scalability, fault tolerance, and speed. Geospatial Data Integration: Develop systems that integrate geospatial data from a variety of sources (e.g., satellite imagery, remote sensing, IoT sensors, and GIS data) and process this data for use in data analytics applications. Ensure geospatial data is processed, stored, and queried efficiently to meet operational … data, data analytics, or geospatial data. Strong background in developing big data applications, data pipelines, and distributed systems. Proven experience working with geospatial data, including GIS, satellite imagery, and remote sensing data, and integrating it into data-driven applications. Familiarity with geospatial data formats (e.g., GeoJSON, Shapefiles, KML) and tools (e.g., PostGIS, GDAL, GeoServer). Technical Skills: Expertise More ❯

of additional analytical tools and ETL (e.g. Python, SQL, Databricks, Microsoft Flow, Azure Data Factory). Degree in Environmental Science, Data Management, Hydrology, or a related field. Experience with remote sensing technologies and water quality monitoring equipment is desirable. Experience working with government agencies and environmental regulations is desirable. Experience using Artificial Intelligence/Machine Learning to aid More ❯

through technical support REQUIREMENTS AND QUALIFICATIONS 5+ years of production experience, delivering high quality products to clients Master’s level or above in a relevant discipline (Geodesy, Earth Science, RemoteSensing, Engineering – for example Civil, Electrical, etc.) Knowledge of agile software development practices and ability to participate in development planning and prioritization sessions Understanding of the fundamentals of earth observation satellites More ❯

through technical support REQUIREMENTS AND QUALIFICATIONS 5+ years of production experience, delivering high quality products to clients Master’s level or above in a relevant discipline (Geodesy, Earth Science, RemoteSensing, Engineering – for example Civil, Electrical, etc.) Knowledge of agile software development practices and ability to participate in development planning and prioritization sessions Understanding of the fundamentals of earth observation satellites More ❯

through technical support REQUIREMENTS AND QUALIFICATIONS 5+ years of production experience, delivering high quality products to clients Master’s level or above in a relevant discipline (Geodesy, Earth Science, RemoteSensing, Engineering – for example Civil, Electrical, etc.) Knowledge of agile software development practices and ability to participate in development planning and prioritization sessions Understanding of the fundamentals of earth observation satellites More ❯

capability. This role offers the opportunity to lead complex AI research projects spanning reinforcement learning, NLP and large language models, knowledge graphs, and AI applications in radar, sonar, and remote sensing. About the Opportunity The successful candidate will work within a 35-strong AI/ML team comprising approximately 25 scientists and 10 product engineers. This hands-on role More ❯

value insights and solutions, including: Developing generative AI tools for geospatial risk assessment Building models to project the impact of floods, cyclones, heat stress etc Leveraging satellite imagery and remote sensing for climate hazard detection Enhancing time-series forecasts to inform asset-level risk planning Combining simulation outputs with ML for hybrid physical + statistical modelling What We More ❯

value insights and solutions, including: Developing generative AI tools for geospatial risk assessment Building models to project the impact of floods, cyclones, heat stress etc Leveraging satellite imagery and remote sensing for climate hazard detection Enhancing time-series forecasts to inform asset-level risk planning Combining simulation outputs with ML for hybrid physical + statistical modelling What We More ❯