demonstratable experience in Azure is a must. Machine Learning Engineer Key Responsibilities: Use generative AI to build predictive models for market trends, asset valuation, and investment opportunities. Leverage AI algorithms for portfolio optimisation, risk analysis, and asset allocation strategies. Automate data extraction and analysis from financial reports, news, and alternative data sources to support investment decisions. Use AI to simulate More ❯
demonstratable experience in Azure is a must. Machine Learning Engineer Key Responsibilities: Use generative AI to build predictive models for market trends, asset valuation, and investment opportunities. Leverage AI algorithms for portfolio optimisation, risk analysis, and asset allocation strategies. Automate data extraction and analysis from financial reports, news, and alternative data sources to support investment decisions. Use AI to simulate More ❯
demonstratable experience in Azure is a must. Machine Learning Engineer Key Responsibilities: Use generative AI to build predictive models for market trends, asset valuation, and investment opportunities. Leverage AI algorithms for portfolio optimisation, risk analysis, and asset allocation strategies. Automate data extraction and analysis from financial reports, news, and alternative data sources to support investment decisions. Use AI to simulate More ❯
demonstratable experience in Azure is a must. Machine Learning Engineer Key Responsibilities: Use generative AI to build predictive models for market trends, asset valuation, and investment opportunities. Leverage AI algorithms for portfolio optimisation, risk analysis, and asset allocation strategies. Automate data extraction and analysis from financial reports, news, and alternative data sources to support investment decisions. Use AI to simulate More ❯
Leicester, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
The successful candidate will join a team delivering advanced Spatial AI solutions to clients in robotics, intralogistics, and warehouse automation. Responsibilities: Design and develop cutting-edge SLAM and perception algorithms for high-performance localization, mapping, and scene understanding. Create high-quality Spatial AI systems for real-world applications. Collaborate with product teams to translate innovations into customer solutions for robotics More ❯
demonstratable experience in Azure is a must. Machine Learning Engineer Key Responsibilities: Use generative AI to build predictive models for market trends, asset valuation, and investment opportunities. Leverage AI algorithms for portfolio optimisation, risk analysis, and asset allocation strategies. Automate data extraction and analysis from financial reports, news, and alternative data sources to support investment decisions. Use AI to simulate More ❯
demonstratable experience in Azure is a must. Machine Learning Engineer Key Responsibilities: Use generative AI to build predictive models for market trends, asset valuation, and investment opportunities. Leverage AI algorithms for portfolio optimisation, risk analysis, and asset allocation strategies. Automate data extraction and analysis from financial reports, news, and alternative data sources to support investment decisions. Use AI to simulate More ❯
demonstratable experience in Azure is a must. Machine Learning Engineer Key Responsibilities: Use generative AI to build predictive models for market trends, asset valuation, and investment opportunities. Leverage AI algorithms for portfolio optimisation, risk analysis, and asset allocation strategies. Automate data extraction and analysis from financial reports, news, and alternative data sources to support investment decisions. Use AI to simulate More ❯
demonstratable experience in Azure is a must. Machine Learning Engineer Key Responsibilities: Use generative AI to build predictive models for market trends, asset valuation, and investment opportunities. Leverage AI algorithms for portfolio optimisation, risk analysis, and asset allocation strategies. Automate data extraction and analysis from financial reports, news, and alternative data sources to support investment decisions. Use AI to simulate More ❯
Northampton, Northamptonshire, UK Hybrid / WFH Options
X4 Technology
demonstratable experience in Azure is a must. Machine Learning Engineer Key Responsibilities: Use generative AI to build predictive models for market trends, asset valuation, and investment opportunities. Leverage AI algorithms for portfolio optimisation, risk analysis, and asset allocation strategies. Automate data extraction and analysis from financial reports, news, and alternative data sources to support investment decisions. Use AI to simulate More ❯
Worcester, Worcestershire, UK Hybrid / WFH Options
X4 Technology
demonstratable experience in Azure is a must. Machine Learning Engineer Key Responsibilities: Use generative AI to build predictive models for market trends, asset valuation, and investment opportunities. Leverage AI algorithms for portfolio optimisation, risk analysis, and asset allocation strategies. Automate data extraction and analysis from financial reports, news, and alternative data sources to support investment decisions. Use AI to simulate More ❯
demonstratable experience in Azure is a must. Machine Learning Engineer Key Responsibilities: Use generative AI to build predictive models for market trends, asset valuation, and investment opportunities. Leverage AI algorithms for portfolio optimisation, risk analysis, and asset allocation strategies. Automate data extraction and analysis from financial reports, news, and alternative data sources to support investment decisions. Use AI to simulate More ❯
demonstratable experience in Azure is a must. Machine Learning Engineer Key Responsibilities: Use generative AI to build predictive models for market trends, asset valuation, and investment opportunities. Leverage AI algorithms for portfolio optimisation, risk analysis, and asset allocation strategies. Automate data extraction and analysis from financial reports, news, and alternative data sources to support investment decisions. Use AI to simulate More ❯
demonstratable experience in Azure is a must. Machine Learning Engineer Key Responsibilities: Use generative AI to build predictive models for market trends, asset valuation, and investment opportunities. Leverage AI algorithms for portfolio optimisation, risk analysis, and asset allocation strategies. Automate data extraction and analysis from financial reports, news, and alternative data sources to support investment decisions. Use AI to simulate More ❯
demonstratable experience in Azure is a must. Machine Learning Engineer Key Responsibilities: Use generative AI to build predictive models for market trends, asset valuation, and investment opportunities. Leverage AI algorithms for portfolio optimisation, risk analysis, and asset allocation strategies. Automate data extraction and analysis from financial reports, news, and alternative data sources to support investment decisions. Use AI to simulate More ❯
Stoke-on-Trent, Staffordshire, UK Hybrid / WFH Options
X4 Technology
demonstratable experience in Azure is a must. Machine Learning Engineer Key Responsibilities: Use generative AI to build predictive models for market trends, asset valuation, and investment opportunities. Leverage AI algorithms for portfolio optimisation, risk analysis, and asset allocation strategies. Automate data extraction and analysis from financial reports, news, and alternative data sources to support investment decisions. Use AI to simulate More ❯
Developer. Ideally with experience in developing and deploying telematics or computer vision software products. Expertise in back-end development - particularly Python, Django, PHP, Laravel Experience in integrating computer vision algorithms into both backend & frontend Familiarity with computer vision libraries and frameworks such as OpenCV, TensorFlow, and PyTorch. Knowledge of databases (e.g., MySQL, MongoDB), web servers (e.g., Apache), and UI/ More ❯
Coventry, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
delivering advanced Spatial AI solutions to clients in robotics, intralogistics, & warehouse automation. Responsibilities as Lead Research Engineer (SLAM/State Estimation) : Design & develop state-of-the-art SLAM & perception algorithms for high-performance localisation, mapping, & scene understanding. Create high-quality Spatial AI systems that enable real-world applications. Collaborate closely with Product teams to turn innovations into customer solutions for More ❯
on automating and enhancing workflows related to Scan2BIM, digital twin creation, and high-resolution visualisation through the integration of machine learning and AI. Key Responsibilities Develop and deploy ML algorithms for processing and interpreting 3D point cloud data (e.g., segmentation, classification, object detection). Build AI tools to automate BIM modelling tasks, such as feature extraction, geometry reconstruction, and data More ❯
Proactive individual with a can-do attitude. Ability to work collaboratively with a team of mixed disciplines, with good verbal and written communication skills. Ability to understand and implement algorithms to specification. Solid foundation in maths, particularly 3D geometry. Flexible individual able to impact and build consensus across interdisciplinary areas of a project. DESIRABLE: Experience with graphics programming Enthusiasm for More ❯
programming skills in languages such as Python, SQL, or C# - ESSENTIAL CORE COMEPTENCIES & SKILLS: Expertise in designing and implementing data models and data warehousing solutions. Knowledge of machine learning algorithms and experience in deploying models in production. In-depth understanding of Azure services and capabilities related to data and AI. Ability to analyse complex problems and develop innovative, scalable solutions. More ❯
programming skills in languages such as Python, SQL, or C# - ESSENTIAL CORE COMEPTENCIES & SKILLS: Expertise in designing and implementing data models and data warehousing solutions. Knowledge of machine learning algorithms and experience in deploying models in production. In-depth understanding of Azure services and capabilities related to data and AI. Ability to analyse complex problems and develop innovative, scalable solutions. More ❯
programming skills in languages such as Python, SQL, or C# - ESSENTIAL CORE COMEPTENCIES & SKILLS: Expertise in designing and implementing data models and data warehousing solutions. Knowledge of machine learning algorithms and experience in deploying models in production. In-depth understanding of Azure services and capabilities related to data and AI. Ability to analyse complex problems and develop innovative, scalable solutions. More ❯
programming skills in languages such as Python, SQL, or C# - ESSENTIAL CORE COMEPTENCIES & SKILLS: Expertise in designing and implementing data models and data warehousing solutions. Knowledge of machine learning algorithms and experience in deploying models in production. In-depth understanding of Azure services and capabilities related to data and AI. Ability to analyse complex problems and develop innovative, scalable solutions. More ❯
programming skills in languages such as Python, SQL, or C# - ESSENTIAL CORE COMEPTENCIES & SKILLS: Expertise in designing and implementing data models and data warehousing solutions. Knowledge of machine learning algorithms and experience in deploying models in production. In-depth understanding of Azure services and capabilities related to data and AI. Ability to analyse complex problems and develop innovative, scalable solutions. More ❯
