9 of 9 Validation Jobs in South London

lifecycle and milestone deliverables). • Provide leadership for the team's bidding activities to support work winning efforts • Provide technical leadership for Safety Integrity Level (SIL) Determination and SIL Validation to relevant industry standards (BS EN 61508, EN 50126, EN 50128) Candidate specification We are looking for adaptable, initiative-taking individuals who are excellent working both individually and in a More ❯

ask the right questions in order to get to the bottom of complex issues Experience with A/B testing and experimental design Understanding of model evaluation metrics and validation techniques Great interpersonal skills The ability to quickly grasp complex issues The ability to work well under pressure to tight deadlines whilst remaining organised Strong analytical approach to problems Technical More ❯

and coordination with different stakeholders like Model Risk Management, Global Financial Crimes etc. You will be required to understand the model lifecycle, with demonstrable experience around model development/validation as well as model governance and frameworks. Understand the functionalities, limitations, and complexities of the two models and be able to represent SSCoE in all Internal governance forums/Audit … meetings and Regulatory exams. Work with a range of senior stakeholders across various functions including the Model Development, Model Validation, Model Risk Management, Global Financial Crimes (GFC), GFC-Tech, amongst others. Focus on the development of strategies and operational guidelines for the organization's various financial products as they relate to the analysis, tracking, and reporting of various risk metrics. More ❯

document end-to-end security and network designs , including routing, switching, firewall placement, and segmentation strategies. Write detailed configuration templates and deployment guides. Perform hands-on configuration, testing, and validation of network solutions. Modify and optimize existing configurations on deployed infrastructure. Collaborate with stakeholders to align network designs with business and technical requirements. Provide technical leadership and mentorship to implementation More ❯

model performance. Essential About you 7+ years of software and machine learning engineering experience in an industrial or applied research environment Good insight into the practical aspects of training, validation, testing and metrics for deep learning features/models Passion to work in a team on research ideas that have real product impact A good grasp of machine learning literature More ❯

Manage test teams (0–30+), budgets, and recruitment Align with suppliers and internal teams on test scope and execution Select and implement test tools and automation frameworks Ensure architectural validation and release readiness Promote Agile practices (Scrum/Kanban) and continuous improvement What You’ll Bring Proven experience in programme-level test management Strong technical knowledge (Azure, APIs, mobile, databases More ❯

developing and implementing complex statistical models used for marketing targeting, credit underwriting, fraud prevention, collections, recoveries and customer experience You will ensure decision models are very reliable, through thorough validation and testing. You will champion best practices in model building and help shape quality standards. You will monitor model performance, identify issues and implement fixes You will research new data More ❯

network design; (ii) design and test of advanced convolutional, recurrent, transformer-based, diffusion-based or other neural network architectures in a task-specific manner; (iii) some experience in training, validation and evaluation of deep neural network models on large datasets, evidenced by experience in using Python libraries like HDF5 or similar Desired qualifications: Publications, e.g. in top-tier conferences and More ❯

the responsible integration of LLMs and conversational AI into our products. You’ll collaborate across clinical, product, engineering, and regulatory teams to create meaningful AI solutions while establishing research validation frameworks and preparing for future medical device certification. This is a high-impact leadership role for someone who combines deep technical expertise with a passion for ethical, clinical AI and More ❯