> Markdown version of [/jobs/ext/63828-emissions-algorithms-engineer-data-analyst-ktp-associate](https://www.wearedevelopers.com/jobs/ext/63828-emissions-algorithms-engineer-data-analyst-ktp-associate). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Emissions Algorithms Engineer - Data Analyst (KTP Associate) - **Company:** QLM Technology - **Location:** Exeter, UK - **Salary:** £33,951.0 - £38,784.0 - **Contract:** Temporary contract - **Skills:** Computer-Aided Design, Artificial Intelligence, Data Analysis, Artificial Neural Networks, Computational Fluid Dynamics, Computer Programming, Linux, GIS Applications, Python (Programming Language), MATLAB, Machine Learning, NumPy, SciPy, Software Engineering, Spatial Data Infrastructures, KTP, Pandas, Matplotlib, Scikit Learn, Plotly, Software Version Control - **Published:** May 16, 2026 - **Apply:** https://www.totaljobs.com/job/ktp-associate/university-of-essex-job107321016 ## About the Role QLM Technology develops cutting-edge quantum laser imaging solutions for greenhouse gas detection and monitoring. The company's mission is to provide accurate, scalable, and cost-effective tools to help industries measure, manage, and mitigate methane emissions-enabling a cleaner, more sustainable future. We are growing our data and algorithms capability and are seeking a motivated Algorithms Engineer / Data Analyst to join our team in Bristol. More information about QLM Technology Ltd can be found at: https://qlmtec.com, * Advanced degree (Masters minimum) in a technical subject, e.g. Mechanical Engineering, Physics, Applied Mathematics or equivalent relevant experience or a closely related field. * Excellent communication skills (both written and oral) with ability to communicate complex and conceptual ideas to a range of people. * Good communication skills, especially in explaining technical concepts to mixed audiences. * Computational Fluid Dynamics and other computer-aided design and analysis tools * Experience in machine learning, AI and neural networks, MatLab, Python and Linux. * Proficiency in Python, including data science libraries (NumPy, SciPy, Pandas, scikit-learn, matplotlib/Plotly) * Skilled in software programming for modelling, instrument control, data analysis, and process * Interest and ability to learn the underlying physics of gas emissions, atmospheric phenomena, and sensing systems * Understanding of scientific software development practices (version control, testing, documentation). * Experience with spatial data, GIS tools, or atmospheric modelling is a plus. ## Description Environment, Science and Economy An exciting opportunity has become available to work on a 2-year Knowledge Transfer Partnership (KTP) between the University of Exeter and QLM Technology Ltd. The KTP will develop novel AI-enabled modelling capabilities to enable the quantification and location of methane emission sources from remote Lidar measurement. The successful candidate will be employed by the University of Exeter and will spend the majority of their time working at QLM in Bristol, with occasional visits to the University of Exeter. you will be expected to work fulltime. This is a hands-on role situated to someone curious about physical phenomena, passionate about environmental impact, and eager to solve complex real-world problems using data. ## Related Videos - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Vectorize all the things! 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