5 of 5 Remote Sensing Jobs in Essex

looking for a Lead Technologist to help guide a technically diverse AI/ML team tackling real-world, mission-critical challenges across reinforcement learning, natural language processing, computer vision, remote sensing, and signal intelligence. You’ll play a pivotal role—blending deep expertise with technical assurance, mentorship, and strategic influence. Why Join? Lead game-changing projects in AI … Engage with top-tier academics and shape collaborative research with universities Mentor and elevate a multidisciplinary team of scientists and engineers Hybrid working —typically 2 days onsite with flexible remote options One-stage interview process —streamlined and respectful of your time Your Role Will Involve: Leading the technical delivery of large-scale AI/ML research programmes Providing engineering … experience post-PhD, with a proven track record of leadership in R&D environments Demonstrated expertise in at least one of the following: AI/ML for imagery (incl. remote sensing) Reinforcement learning or autonomous agents NLP, LLMs, or knowledge graph technologies AI for RF/EW, radar, sonar, or acoustic domains Strong Python skills and familiarity with More ❯

join its advanced data and decision science capability. This is a rare opportunity to shape the future of AI innovation in domains such as defence, autonomy, RF systems, and remote sensing-working across a portfolio of cutting-edge research and product development. As a technical leader within a multi-disciplinary team, you'll spearhead the design and assurance 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 ❯

public sector innovation bodies, or academic institutions). Deep expertise in at least one of the following, with working knowledge across multiple areas: AI/ML for imagery (including remote sensing) Reinforcement learning Natural Language Processing and Large Language Models Knowledge graphs and graph-based neural networks AI/ML applied to RF, EW, radar, sonar, or acoustic More ❯

knowledge graphs and graph based neural networks; AI for RF and EW, radar, sonar, acoustics, AI for image and video recognition tasks. The latter includes both computer vision and remote sensing application areas. You should have existing skills in the latest developments in Artificial Intelligence and Machine Learning. You are also likely to have a strong background in … Dstl, NS, EPSRC) experience is essential. Of particular interest are candidates with experience in one or more of the following domains: AI/ML for imagery including applied to remote sensing applications. Reinforcement learning. Natural Language Processing. Large Language Models. Knowledge graphs and graph-based neural nets. AI/ML for RF and EW, radar, sonar, acoustics. Autonomy More ❯