1 to 18 of 18 Lidar Jobs in England

engineering projects. Responsibilities: Create and implement Machine Learning and Computer Vision models, using SLAM based tools and modelling systems Working on Visual SLAM and LIDAR Slam Working as part of a team of 4 Deploy models for production using their Cloud platform. Work closely with cross-functional teams, including Engineering more »

We have an exciting new opportunity for a Computer Vision Engineer with a background in using 3D Data/meshes/point clouds/LiDAR/SLAM, to join a DeepTech consultancy. ROLE: Create and implement Machine Learning and Computer Vision models, using 3D data, meshes, point clouds and LIDAR more »

commercial and account management skills. What we are looking for: Proven knowledge of Geospatial/Geomatics or mobile mapping technologies including 3D Laser Scanners, Lidar, GNSS, Total Station, Drones/UAV, Terrestrial Scanners, 3D Surveillance, gained working in a Land Surveyor/Topographic Surveyor/Setting Out Engineer/Civil more »

and support requirements are met. What we are looking for: Proven knowledge of Geospatial/Geomatics or mobile mapping technologies including 3D Laser Scanners, Lidar, GNSS, Total Station, Drones/UAV, Terrestrial Scanners, 3D Surveillance, gained working in a Land Surveyor/Topographic Surveyor/Civil Engineer or Construction Engineer more »

Apache Spark, for processing large geospatial datasets. Familiarity with geospatial databases and data visualisations such as tableau, QGIS & ArcGIS. Knowledge of satellite imagery analysis, LIDAR data processing and other remote sensing techniques. Experience deploying geospatial analytics solutions in production environments and integrating them into existing systems & workflows. Strong problem-solving more »

Apache Spark, for processing large geospatial datasets. Familiarity with geospatial databases and data visualisations such as tableau, QGIS & ArcGIS. Knowledge of satellite imagery analysis, LIDAR data processing and other remote sensing techniques. Experience deploying geospatial analytics solutions in production environments and integrating them into existing systems & workflows. Strong problem-solving more »

Apache Spark, for processing large geospatial datasets. Familiarity with geospatial databases and data visualisations such as tableau, QGIS & ArcGIS. Knowledge of satellite imagery analysis, LIDAR data processing and other remote sensing techniques. Experience deploying geospatial analytics solutions in production environments and integrating them into existing systems & workflows. Strong problem-solving more »

Azure). Interest in Building Information Models (BIM) and their impact on digital construction design. Desirable Skills: Experience with mobile robotics and sensors like lidar, vision, GPS, and IMUs. Understanding of modern algorithms for visual and laser odometry and reconstruction. Knowledge of perception pipelines involving 3D data such as point more »

including highway modelling inputs/outputs, census-based data and site accessibility information. Provide support for flood risk mapping and analysis, including use of LiDAR elevation geodata and integrating with hydrological modelling tools. Aid the adoption and integration of geospatial processes in engineering challenges across the business including structural engineering more »

engineering projects. Responsibilities: Create and implement Machine Learning and Computer Vision models, using SLAM based tools and modelling systems Working on Visual SLAM and LIDAR Slam Working as part of a team of 4 Deploy models for production using their Cloud platform. Work closely with cross-functional teams, including Engineering more »

of optimization, numerical linear algebra, probabilistic Experience with SLAM and familiar with different type of slam algorithm/system Experience with different sensors, e.g Lidar, IMU, GNSS, Camera etc Experience with sensor calibration and fusion algorithm Experience with different filter algorithm more »

developed features Skill Requirements Strong modern C++ skills and a good understanding of programming and data structure fundamentals Experience with SLAM, structure from motion, Lidar, IMU, and sensor fusion Experience working on 3D computer vision or similar areas in an industrial environment Experience with using computer vision and maths open more »

will be working on the leading edge of this technology, designing, and developing software to make sense of multiple sensor inputs for RADAR/LIDAR and microwave RF applications for the marine industry. Hybrid working is offered, allowing two set days working from home a week if required. You can more »

Experts Market Know-How Preferred: Executive Search, Automotive, Private Equity, Industrials, Manufacturing, Supply Chain, Procurement, Management Consulting, Electric Vehicles, Infrastructure, Engineering, Autonomous Driving, ADAS (Lidar, Camera, Radar), Infotainment, Connectivity, Data, Cloud Entrepreneurial Mindset to work within our entrepreneurial culture IN THE PAST 18 MONTHS, WE HAVE: ⚡ x2.5 Headcount Growth more »

We have an exciting new opportunity for a Computer Vision Engineer with a background in using 3D Data/meshes/point clouds/LiDAR, to join a DeepTech startup. We have partnered with an exciting company that has developed an advanced AI platform to support construction and engineering projects … across the UK and EU. ROLE: Create and implement Machine Learning and Computer Vision models, using 3D data, meshes, point clouds and LIDAR Working as part of a team of 4 Deploy models for production using their Cloud platform. Work closely with cross-functional teams, including Engineering, Intelligence, and Product more »

We have an exciting new opportunity for a Computer Vision Engineer with a background in using 3D Data/meshes/point clouds/LiDAR, to join a DeepTech startup. We have partnered with an exciting company that has developed an advanced AI platform to support construction and engineering projects … across the UK and EU. ROLE: Create and implement Machine Learning and Computer Vision models, using 3D data, meshes, point clouds and LIDAR Working as part of a team of 4 Deploy models for production using their Cloud platform. Work closely with cross-functional teams, including Engineering, Intelligence, and Product more »

platform to support construction and engineering projects. Responsibilities: Create and implement Machine Learning and Computer Vision models, using 3D data, meshes, point clouds and LIDAR Working as part of a team of 4 Deploy models for production using their Cloud platform. Work closely with cross-functional teams, including Engineering, Intelligence more »

team environment while also demonstrating initiative and autonomy in project ownership. REQUIREMENTS : Proven expertise in Computer Vision and 3D Data. Experience in 3D data - LiDAR, Point Cloud etc MSc or PhD in Computer Science, Artificial Intelligence, Mathematics, Statistics, or relevant fields. Track record of thriving in fast-paced startup settings. more »