Full-Stack Software Engineer who will be pivotal in developing state-of-the-art AI/ML solutions for diverse projects, including signal processing, geospatial Datamodelling, image processing, and high-fidelity simulations. You'll work in collaborative, flexible, and self-organising teams, turning concepts into production-ready solutions that … customers and as such you should have an interest in this field and perhaps some exposure and an understanding of Machine Learning, AI or Data Science. This is a senior role and you should have some experience of technical leadership and want to take up this type of role … where you can lead a team of engineers, data scientists and machine learning experts to a common goal in an Agile environment. You should also be well versed in a DevOps environment and be happy deploying solutions. Any experience of systems integration or specifically integrating ML solutions to hardware more »
technology stack. Responsibilities · Design and Development: Design and develop software solutions, including aesthetically pleasing and intuitive frontend dashboard and user interfaces. · Presentation: Take complex data sources and condense them into visualisations that allow non-technical people to gain insights and make decisions based on them. · Problem Solving : Troubleshoot and … products and services provided by the company. Technical skills We need you to already have: • Bachelor's or Master's degree in Computer Science, Data Science, GIS or related field. (Extensive experience can be used as a substitute) • Demonstrable knowledge of front-end development and web frameworks • Expertise in … handling, processing and manipulating event data • Expertise in handling, processing and manipulating time series data • Expertise in handling, processing and manipulating geospatialdata • Proven experience (2 years) in data visualisation/front-end development • Proficient in agile methodology • Proficient in both complex problem solving and more »
Full-Stack Software Engineer who will be pivotal in developing state-of-the-art AI/ML solutions for diverse projects, including signal processing, geospatialdata modelling, image processing, and high-fidelity simulations. You'll work in collaborative, flexible, and self-organising teams, turning concepts into production-ready … customers and as such you should have an interest in this field and perhaps some exposure and an understanding of Machine Learning, AI or Data Science. This is a senior role and you should have some experience of technical leadership and want to take up this type of role … where you can lead a team of engineers, data scientists and machine learning experts to a common goal in an Agile environment. You should also be well versed in a DevOps environment and be happy deploying solutions. Any experience of systems integration or specifically integrating ML solutions to hardware more »
