United Living Group's investment enables Heatly to enhance our capabilities, broaden our product scope and accelerate our market expansion efforts with a core focus on the regulatory global decarbonisation of heat, initially through heat pump roll out and with £1.8m of UK Gov development funding already injected. We have developed a Software as a Service (SaaS) platform that is currently at the MVP stage and is now starting to operationalise and commercialise having gained enterprise “proof of concept” contracts with two of the largest energy companies.
Our focus is on delivering net zero emissions from domestic heating which is aligned with the UK government’s ambition. So far approximately 190+ million heat pumps are installed globally which accounts for only 10% of overall sales and only 20 million of these are in Europe. There is a significant ‘Total Addressable Market’ (TAM) of over 1.5 million heat pump installs happening every month making our proposition leading edge with significant growth potential.
Our SaaS platform utilises cutting edge scanning technology that is operating system agnostic, using these methods Heatly is redefining how technology is used to survey and create building digital twins.
We require talented people to join our team to turn our MVP into a fully working, scalable technology proposition to deliver our ambition and be first to market.
You will already have worked in a similar startup environment and have a proven track record in delivering fast, quality and scalable technology platforms, with time pressure to ensure we are first to market.
Job Description
We are seeking a versatile and skilled AI/SLAM (Simultaneous Localization and Mapping) Architect. The ideal candidate will be responsible for, and take ownership of applying advanced machine learning techniques, computer vision, and hardware technologies to create and optimize SLAM algorithms. More specifically it will be to enhance, and extend and implement image recognition/training pipelines, visual positioning systems and to liaise with the wider technical team regarding their implementation into a real-world application. This is a hands-on role. Key Responsibilities
AI/ML/SLAM Algorithm Development: Enhance our Prototype: Enhance and extend our functional prototype into a robust SLAM system ready for deployment in real-world applications. Develop machine learning models: Develop solutions to enhance our SLAM accuracy, robustness, and efficiency. Sensor Data Processing: Work with sensors such as WebXR, LiDAR, cameras, IMUs, and GPS to process data and enable real-time mapping and localization. Determine appropriate technology/technique usage: Implement and improve 2D, 3D, and visual SLAM techniques. Deep Learning: Experiment with deep learning frameworks to improve SLAM performance in dynamic and unstructured environments. Identify and resolve defects: Work closely with the business to identify and optimise our solutions. Ensure security by design: Integrate security/privacy best practices into the learning process to ensure that approaches are secure and responsible from the ground up. Optimise for performance and scalability: Design and implement solutions that can dynamically scale to meet varying demands and ensure high performance and availability. Use profiling tools to identify performance bottlenecks and optimise code accordingly. Agile Development: Agile Focus: Contribute to an Agile development environment, participating in sprint planning, daily stand-ups, and retrospectives. Work collaboratively to refine requirements, estimate tasks, and deliver high-quality solutions efficiently. Qualifications
Bachelor’s degree in Computer Science, AI/ML, Maths or related field (Master’s or Ph.D. preferred). Proven experience in developing and deploying SLAM algorithms in a relevant industry. Strong understanding of machine learning, computer vision, and sensor fusion techniques. Experience working on mission-critical or SaaS services. Technical Skills: Appropriate technological experience with Python, Pipelines, Cloud Computing and CLI fundamentals. Experience with GPU programming and optimizing for real-time performance. Experience of mobile device hardware capabilities, specifically related to the camera(s) and geo services. Excellent problem-solving and analytical skills. Strong communication and collaboration abilities. Ability to work in a fast-paced, dynamic environment and manage multiple priorities. Attention to detail and a proactive approach to identifying and addressing issues.
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We are seeking a versatile and skilled AI/SLAM (Simultaneous Localization and Mapping) Architect. The ideal candidate will be responsible for, and take ownership of applying advanced machine learning techniques, computer vision, and hardware technologies to create and optimize SLAM algorithms. More specifically it will be to enhance, and extend and implement image recognition/training pipelines, visual positioning systems and to liaise with the wider technical team regarding their implementation into a real-world application. This is a hands-on role. Key Responsibilities
AI/ML/SLAM Algorithm Development: Enhance our Prototype: Enhance and extend our functional prototype into a robust SLAM system ready for deployment in real-world applications. Develop machine learning models: Develop solutions to enhance our SLAM accuracy, robustness, and efficiency. Sensor Data Processing: Work with sensors such as WebXR, LiDAR, cameras, IMUs, and GPS to process data and enable real-time mapping and localization. Determine appropriate technology/technique usage: Implement and improve 2D, 3D, and visual SLAM techniques. Deep Learning: Experiment with deep learning frameworks to improve SLAM performance in dynamic and unstructured environments. Identify and resolve defects: Work closely with the business to identify and optimise our solutions. Ensure security by design: Integrate security/privacy best practices into the learning process to ensure that approaches are secure and responsible from the ground up. Optimise for performance and scalability: Design and implement solutions that can dynamically scale to meet varying demands and ensure high performance and availability. Use profiling tools to identify performance bottlenecks and optimise code accordingly. Agile Development: Agile Focus: Contribute to an Agile development environment, participating in sprint planning, daily stand-ups, and retrospectives. Work collaboratively to refine requirements, estimate tasks, and deliver high-quality solutions efficiently. Qualifications
Bachelor’s degree in Computer Science, AI/ML, Maths or related field (Master’s or Ph.D. preferred). Proven experience in developing and deploying SLAM algorithms in a relevant industry. Strong understanding of machine learning, computer vision, and sensor fusion techniques. Experience working on mission-critical or SaaS services. Technical Skills: Appropriate technological experience with Python, Pipelines, Cloud Computing and CLI fundamentals. Experience with GPU programming and optimizing for real-time performance. Experience of mobile device hardware capabilities, specifically related to the camera(s) and geo services. Excellent problem-solving and analytical skills. Strong communication and collaboration abilities. Ability to work in a fast-paced, dynamic environment and manage multiple priorities. Attention to detail and a proactive approach to identifying and addressing issues.
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