3 of 3 Permanent Data Security Jobs in Somerset

commercial awareness: you understand value propositions, return on investment, trade-offs (cost vs speed vs write-down risk), and you factor in risk, compliance, data governance when designing solutions. Key Responsibilities Lead technical discovery and scoping phases with prospective clients: understand their business, compliance, risk, operational, regulatory and data environment. Design solution architectures leveraging Aveni's products (Detect, Assist, Agents, FinLLM) plus integrations with client systems (e.g. CRM, communication tools, data pipelines). Develop, deliver, and customise demos, POCs, workshops to illustrate value, ROI, regulatory compliance, risk mitigation, etc. Collaborate with sales teams to respond to RFIs ...

your professional and personal life. We offer: Flexible working options to help you balance work and life NHS pension scheme for long-term financial security Generous annual leave allowance to recharge and relax A strong focus on career development to help you grow and achieve your potential Additionally … software applications including MS Office applications (Word, Excel, PowerPoint, Outlook, SharePointEvidence of a good standard of Literacy/English language skills Desirable Awareness of Data Protection (GDPR) and data security principlesAwareness of national guidance on cancer including care pathways/waiting timesAwareness of Software development lifecycle Disclosure ...

trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help … models and navigating the intersection of research, engineering, and product delivery. Roles & Responsibilities: Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals. Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment. Collaborate with Research ...