SSINGECO LTD is at the forefront of AI-driven innovation, leveraging advanced artificial intelligence to enhance agricultural practices by analyzing data, predicting trends, and optimizing processes for increased productivity and efficiency. Committed to empowering small businesses across various industries, we provide cutting-edge AI solutions that facilitate their growth and adaptability in a changing world. Sustainability is a core value, and our solutions are designed to promote environmentally conscious and economically viable business practices. Through our initiatives, we aim to create a balance between innovation, economic progress, and environmental responsibility.
SoftwareTester
Job Description:
As a Software Tester for this role, it is a specialist position embedded in the company’s Artificial Intelligence and IT research function, focused on developing and validating intelligent solutions for the UK drainage and wastewater sector. The role has evolved beyond traditional software testing to include AI model evaluation and data quality assurance, used in predictive maintenance, drainage inspection analysis, and infrastructure optimisation.
It involves working closely with AI researchers, data analysts, and drainage domain specialists. The role supports the end-to-end lifecycle of AI-driven solutions—from data preparation and model testing through to performance validation and continuous improvement. It ensures that all AI systems are accurate, reliable, and aligned with real-world operational requirements within the drainage industry.
In addition, the role incorporates structured QA methodologies, Python-based testing and automation, and regression analysis to ensure that updates to AI models or software platforms do not negatively impact system performance. It is a key technical function that bridges software quality assurance, artificial intelligence research, and applied environmental infrastructure technology within our innovation-driven operations in the UK.
Key Responsibilities
* Assist in the design, development, testing, and validation of Artificial Intelligence (AI) solutions aimed at improving drainage network inspections, wastewater management, flood risk assessment, and infrastructure maintenance.
* Collect, analyze, cleanse, and validate data obtained from drainage surveys, CCTV inspections, sensor networks, and operational maintenance records to support AI model development.
* Develop and execute validation and evaluation frameworks to assess the accuracy, reliability, and performance of AI models and intelligent decision-support systems.
* Apply Quality Assurance (QA) methodologies to verify that AI systems, predictive models, and software applications perform according to defined technical and operational requirements.
* Utilize programming languages such as Python and AI development tools to support research activities, model testing, data analysis, and automation of validation processes.
* Support the development and implementation of AI-driven solutions for defect detection, blockage prediction, asset condition assessment, drainage mapping, and predictive maintenance.
* Document research methodologies, experimental results, validation reports, technical findings, datasets, and project outcomes in accordance with organizational and industry standards.
* Collaborate with AI researchers, software developers, drainage engineers, project manager, and business analysts to ensure successful project delivery and innovation outcomes.
* Contribute to the establishment and maintenance of quality standards, testing frameworks, and best practices for AI research and software development activities.
* Undertake ongoing professional development, including specialized training in AI, data analytics, machine learning, quality assurance methodologies, and drainage industry applications.
Structured Training
* Artificial Intelligence applications and data analysis.
* Quality Assurance and AI model validation techniques.
* Drainage and wastewater infrastructure operations.
* CCTV drainage inspection analysis.
* Environmental and infrastructure data research methodologies.
* Industry-specific regulations, standards, and best practices within the UK drainage sector.
Qualifications
* Bachelor's degree in computer science, engineering, or a related field; master’s degree preferred.
* Proven experience as a Software Tester or similar role. Familiarity with various testing methodologies, including manual and automated testing.
* Strong analytical and problem-solving skills.
* Excellent communication skills and the ability to work effectively in a team environment.
* Knowledge of programming languages (e.g., Java, Python) is a plus.
* Experience in AI technologies is a plus.
The role combines AI research, quality assurance, and drainage industry knowledge to support the development of innovative technologies that improve the efficiency, reliability, and sustainability of drainage infrastructure for our research programme—The United Kingdom Future Cities.
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