8 Model Validation Jobs in the South East

across multiple platforms. Deploy models to NVIDIA hardware, writing custom C++ and CUDA code as needed. Leverage cloud tooling and infrastructure to create repeatable model optimisation and deployment workflows. Design and implement metrics for model validation and continuous monitoring in production. Engage with team members and colleagues more »

art machine learning models and architectures in support of behaviour planning and decision making for autonomous vehicles. Create and curate datasets for training and validation of machine learning models. Design and develop high quality inference APIs, and support integration of deployed models into Oxa Driver™. Build cloud tooling … and infrastructure in support of experimentation, evaluation and deployment workflows. Design and implement metrics for model validation and continuous monitoring in production. Engage with team members and colleagues throughout the business to create an environment that supports collaboration and mutual understanding. Contribute to hiring and onboarding by defining more »

support to help members to develop their domain expertise. The Software Architect is responsible for defining the solution and system architecture (including models, decisions, validation, evolution and delivery support), working with the customer and any subcontractors to identify, trade-off and design the overall architecture. Architects assist with the more »

AWE has great opportunities for CAE Material Model Engineers These are exciting opportunities for passionate CAE (Computer Aided Engineering) Material Model Engineers to lead the development of advanced, non-linear material models and to integrate them into the finite element analysis codes used by the team. As well … Workbench Material characterisation and calibration of material models Testing techniques used to obtain mechanical/thermal material property data Experimentation for the acquisition of model validation data PLM and CAD systems - Siemens Teamcenter and NX particularly desirable Linux based HPC systems and batch submission systems Scripting and coding more »

candidates aligned with strategic objectives. Develop and deploy advanced machine learning models using cloud-based platforms. Apply statistical analysis and hypothesis testing to validate model performance and ensure robustness. Coach, guide, and nurture talent within the data science team, fostering growth and skill development. Create data visualizations and dashboards more »

FSI In addition to day-to-day analysis tasks, other responsibilities may include: Communicating analysis results through production of clear, concise reports & presentations Applying model V&V techniques whilst adhering to quality assurance procedures Representing the wider business at national and international conferences Who Are We Looking For? We … characterisation and calibration of material models and equations of state Testing techniques used to obtain mechanical material property data Experimentation for the acquisition of model validation data PLM and CAD systems - Siemens Teamcenter and NX are particularly desirable Linux based HPC systems and batch submission systems Use of more »

areas of focus and direction.Support the development of your team through regular mentoring, coaching and feedback, 1:1s and on the job learning opportunities.Role model inclusion for your team to build trust and psychological safety.Ensure communication with your team is a core focus area including cascade of information from more »

enterprise. Develop and deploy advanced machine learning models using Azure Machine Learning and open-source stack. Apply statistical analysis and hypothesis testing to validate model performance and ensure robustness. Coach, guide and nurture talent within data science team, fostering their growth, skill development and overall ability to deliver business … impact. Create data visualizations and dashboards using tools like Streamlit or Dash Plotly, to effectively communicate insights to stakeholders, provide model explainability and model inference to end users. Stay abreast of the latest data science techniques, tools, and best practices, and proactively apply them to enhance our data more »