▷ [High Salary] Drone Pilot for AI Training and DataCollection

Terry Soot MG
London
3 months ago
Applications closed

We are seeking an experienced and highly skilled DronePilot to assist in the development and training of AI models,specifically in the areas of computer vision, sensor fusion, andautonomous navigation. The ideal candidate will be responsible forcollecting high-quality data in real-world environments,contributing to the optimization of AI algorithms that powerautonomous systems. As a Drone Pilot for AI & AutonomousSystems Training, you will operate advanced drones to capture dataessential for training and validating AI models that powerautonomous navigation, object detection, and decision-makingsystems. Key Responsibilities: * Pilot drones equipped withhigh-resolution cameras, LiDAR, thermal imaging, and other sensorsto collect diverse datasets used for training AI algorithms,particularly for autonomous navigation, computer vision, and sensorfusion. * Capture data in various real-world conditions (e.g.,urban, rural, industrial, challenging weather conditions) to exposeAI systems to a wide range of environments and scenarios. * Executecomplex drone missions with precise data collection objectives,such as aerial mapping, 3D reconstruction, obstacle detection, andobject tracking. * Collaborate closely with AI engineers, machinelearning specialists, and autonomous systems teams to ensure datacollection aligns with the specific requirements of AI modeltraining. * Perform post-flight data quality checks and initialpreprocessing to ensure the datasets are ready for use in trainingAI models. * Operate drones in both manual and autonomous modes,supporting AI-driven flight operations where drones rely on onboardalgorithms for navigation and decision-making. * Adhere to the UKCivil Aviation Authority (CAA) and local aviation regulationsgoverning drone operations, ensuring the safe and compliant conductof all drone missions. * Oversee the maintenance, calibration, andtroubleshooting of drones and onboard sensors to ensure the higheststandards of performance and reliability. Qualifications:Commercial drone pilot certification (CAA or equivalent), withadditional certifications in safety or advanced drone technologiesconsidered a plus. * Proven track record as a drone pilot, withsignificant experience in collecting data for industrial, research,or AI-focused applications. * Expertise in flying drones equippedwith advanced sensors such as LiDAR, thermal cameras, RGB cameras,and multispectral sensors. * Familiarity with the nuances ofautonomous flight, sensor integration, and machine learningworkflows, especially those that involve real-time data processing.Strong understanding of how drone-collected data is used for AItraining, including its role in training AI for perception,navigation, and decision-making. * Experience in using software forflight planning, such as Pix4D, DroneDeploy, or similar platforms,and geospatial data analysis tools. * Familiarity with machinelearning concepts, especially those related to computer vision(e.g., image segmentation, object detection, and tracking) andautonomous navigation systems. * Basic understanding of geospatialdata processing, photogrammetry, and 3D reconstruction techniquesfor AI applications. * Strong attention to detail with a commitmentto ensuring the highest quality of data collection and analysis. *Excellent communication and collaboration skills, with the abilityto work in multidisciplinary teams. J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Best UK Universities for Machine Learning Degrees (2025 Guide)

Explore ten UK universities that deliver world-class machine-learning degrees in 2025. Compare entry requirements, course content, research strength and industry links to find the programme that fits your goals. Machine learning (ML) has shifted from academic curiosity to the engine powering everything from personalised medicine to autonomous vehicles. UK universities have long been pioneers in the field, and their programmes now blend rigorous theory with hands-on practice on industrial-scale datasets. Below, we highlight ten institutions whose undergraduate or postgraduate pathways focus squarely on machine learning. League tables move each year, but these universities consistently excel in teaching, research and collaboration with industry.

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.

Veterans in Machine Learning: A Military‑to‑Civilian Pathway into AI Careers

Introduction Artificial intelligence is no longer relegated to sci‑fi films—it underpins battlefield decision‑support, fraud detection, and even supermarket logistics. The UK Government’s 2025 AI Sector Deal forecasts an additional £200 billion in GDP by 2030, with machine‑learning (ML) engineers cited as the nation’s second most in‑demand tech role (Tech Nation 2024). The Ministry of Defence’s Defence AI Strategy echoes that urgency, earmarking £1.6 billion for FY 2025–28 to embed ML into planning, logistics, and autonomous systems. If you have ever tuned a radar filter, plotted artillery trajectories, or sifted sensor data for actionable intel, you have already worked with statistical modelling—the backbone of machine learning. This guide shows UK veterans how to reframe military experience for ML roles, leverage MoD transition funding, and land high‑impact positions building the models shaping tomorrow’s defence and commercial landscapes. Quick Win: Bookmark our live board for Machine‑Learning Engineer roles to see who’s hiring today.